# Best Text Analysis Software

## How Many Text Analysis Software Products Does G2 Track?

**Total Products under this Category:** 191

### Category Stats (Aug 2026)

- **Average Rating:** 4.51/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** IBM Watson Natural Language Understanding (+0.26%) - Among all products in this category, IBM Watson Natural Language Understanding recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank Text Analysis Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 5,300+ Authentic Reviews
- 191+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Text Analysis Software
 ![G2 Grid® for Text Analysis Software plotting products by satisfaction and market presence](https://www.g2.com/categories/text-analysis/grids.png?focus%5B%5D=1327283&focus%5B%5D=52116&focus%5B%5D=21472&focus%5B%5D=19895&focus%5B%5D=156788&focus%5B%5D=170171&focus%5B%5D=168405&focus%5B%5D=104578)

Highlighted products: SAS Viya, Amazon Comprehend, Google Cloud Natural Language API, Chattermill, Caplena, Canvs, Birdie, and Dovetail.

Underlying data: [Grid® JSON](https://www.g2.com/categories/text-analysis/grids.json?focus%5B%5D=sas-sas-viya&focus%5B%5D=amazon-comprehend&focus%5B%5D=google-cloud-natural-language-api&focus%5B%5D=chattermill&focus%5B%5D=caplena&focus%5B%5D=canvs-ai-canvs&focus%5B%5D=birdie-ai-birdie&focus%5B%5D=dovetail-research-pty-ltd-dovetail)

**Sponsored**

### Blix

Blix offers an AI-powered text analysis solution designed to retrieve insights from customer feedback quickly and effortlessly. The platform automates the process of coding survey open ends, online reviews, and other textual feedback, turning them into insights without the need for manual effort. Blix’s automated topic discovery scans through open text feedback and identifies key themes and topics. Its AI-powered coding transforms unstructured text into structured, quantitative data, eliminating the need for manual coding. Users receive automated reports and summaries. The platform supports multiple languages and offers data encryption and strict confidentiality guarantees.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1260&secure%5Bchosen_at%5D=2026-08-01T21%3A45%3A02Z&secure%5Bdisplayable_resource_id%5D=1260&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1260&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1393471&secure%5Bresource_id%5D=1260&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Ftext-analysis%3Fopen_modal_url%3D%252Fproducts%252Fsas-sas-viya%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Ftext-analysis%2526source%253Dcategory&secure%5Btoken%5D=bb6995a8884feed4d09c881e75c06b28d9db15d606424728af6b97f7d2e320ab&secure%5Burl%5D=https%3A%2F%2Fblix.ai&secure%5Burl_type%5D=company_website)

### [SAS Viya](https://www.g2.com/it/products/sas-sas-viya/reviews)

SAS Viya è una piattaforma di dati e AI nativa del cloud che consente ai team di costruire, distribuire e scalare AI spiegabile che guida decisioni fidate e sicure. Unisce l'intero ciclo di vita dei dati e dell'AI e permette ai team di innovare rapidamente bilanciando velocità, automazione e governance per design. Viya unifica la gestione dei dati, l'analisi avanzata e il decisioning in un'unica piattaforma, così le organizzazioni possono passare dall'esperimentazione alla produzione con fiducia, offrendo un impatto aziendale misurabile che è sicuro, spiegabile e scalabile in qualsiasi ambiente. Le capacità chiave necessarie per fornire decisioni fidate includono: • Chiarezza end-to-end attraverso il ciclo di vita dei dati e dell'AI, con tracciabilità integrata, auditabilità e monitoraggio continuo per supportare decisioni difendibili. • Governance per design, che consente una supervisione coerente su dati, modelli e decisioni per ridurre il rischio e accelerare l'adozione. • AI spiegabile su larga scala, in modo che intuizioni e risultati possano essere compresi, convalidati e fidati sia dalle aziende che dai regolatori. • Analisi operativizzata, garantendo che il valore continui oltre la distribuzione attraverso monitoraggio, riaddestramento e gestione del ciclo di vita. • Distribuzione flessibile e nativa del cloud, permettendo alle organizzazioni di iniziare ovunque e scalare ovunque mantenendo il controllo.

**Average Rating:** 4.3/5.0

**Total Reviews:** 774

#### How Do G2 Users Rate SAS Viya?

- **Ritiene che the product sia stato un valido partner commerciale?:** 8.2/10 (Category avg: 9.0/10)
- **Estensione personalizzata:** 7.4/10 (Category avg: 8.1/10)
- **Composizionalità:** 8.2/10 (Category avg: 8.3/10)
- **Parametrizzazione Pre-Costruita:** 7.7/10 (Category avg: 8.3/10)

#### Who Is the Company Behind SAS Viya?

- **Venditore:** [SAS Institute Inc.](https://www.g2.com/it/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Sito web dell'azienda:** www.sas.com
- **Anno di Fondazione:** 1976
- **Sede centrale:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 follower su Twitter
- **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 dipendenti su LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Biostatistico
- **Top Industries:** Prodotti farmaceutici, Bancario
- **Company Size:** 33% Large, 33% Small

#### What Do G2 Reviewers Say About SAS Viya?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti apprezzano la **facilità d'uso** di SAS Viya, che semplifica la visualizzazione dei dati e migliora l'efficienza nel prendere decisioni.
- Gli utenti apprezzano le **sofisticate capacità analitiche** di SAS Viya, che consentono un facile deployment e decisioni in tempo reale.
- Gli utenti apprezzano i **metodi analitici avanzati** offerti da SAS Viya, migliorando le capacità di analisi dei dati decisionali e logistici.
- Gli utenti apprezzano gli **strumenti per il ciclo di vita dei dati end-to-end** di SAS Viya, migliorando l'intuizione aziendale e il processo decisionale strategico.
- Gli utenti amano l' **interfaccia intuitiva** di SAS Viya, rendendo l'analisi dei dati e il deployment dei modelli senza sforzo per tutti i livelli di abilità.

##### Cons

- Gli utenti trovano che SAS Viya abbia una **difficoltà di apprendimento** , rendendo difficile per le persone non tecniche navigare efficacemente.
- Gli utenti trovano la **curva di apprendimento ripida** , rendendo difficile per gli utenti non tecnici navigare efficacemente in SAS Viya.
- Gli utenti trovano la **complessità della visualizzazione** in SAS Viya impegnativa, in particolare per gli utenti non tecnici e i principianti.
- Gli utenti lottano con la **difficile curva di apprendimento** di SAS Viya, in particolare per i nuovi utenti e quelli non tecnici.
- Gli utenti trovano il **prezzo elevato** di SAS Viya un ostacolo significativo all'adozione potenziale.

#### What Are Recent G2 Reviews of SAS Viya?

**["Analisi dei dati efficace con SAS Viya"](https://www.g2.com/it/survey_responses/sas-viya-review-11872818)**

**Rating:** 4.5/5.0 stars

_— Fungai J._

[Read full review](https://www.g2.com/it/survey_responses/sas-viya-review-11872818)

**["SAS Viya: Potente AI e analisi dei dati con integrazioni senza soluzione di continuità"](https://www.g2.com/it/survey_responses/sas-viya-review-11855145)**

**Rating:** 5.0/5.0 stars

_— Utente verificato in Ospedali e assistenza sanitaria_

[Read full review](https://www.g2.com/it/survey_responses/sas-viya-review-11855145)

#### What Are G2 Users Discussing About SAS Viya?

- [A cosa serve SAS Visual Data Mining e Machine Learning?](https://www.g2.com/it/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments

### [Amazon Comprehend](https://www.g2.com/de/products/amazon-comprehend/reviews)

Amazon Comprehend ist ein Dienst zur Verarbeitung natürlicher Sprache (NLP), der maschinelles Lernen verwendet, um Einblicke und Beziehungen in Texten zu finden. Amazon Comprehend identifiziert die Sprache des Textes; extrahiert Schlüsselphrasen, Orte, Personen, Marken oder Ereignisse; versteht, wie positiv oder negativ der Text ist; und organisiert automatisch eine Sammlung von Textdateien nach Themen.

**Average Rating:** 4.3/5.0

**Total Reviews:** 83

#### How Do G2 Users Rate Amazon Comprehend?

- **War the product ein guter Geschäftspartner?:** 8.1/10 (Category avg: 9.0/10)
- **Benutzerdefinierte Erweiterung:** 7.9/10 (Category avg: 8.1/10)
- **Kompositionalität:** 8.5/10 (Category avg: 8.3/10)
- **Vorgefertigte Parametrierung:** 8.2/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Amazon Comprehend?

- **Verkäufer:** [Amazon Web Services (AWS)](https://www.g2.com/de/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Gründungsjahr:** 2006
- **Hauptsitz:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 Mitarbeiter\*innen auf LinkedIn®
- **Eigentum:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Informationstechnologie und Dienstleistungen, Buchhaltung
- **Company Size:** 40% Medium, 39% Small

#### What Do G2 Reviewers Say About Amazon Comprehend?

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer schätzen die **Datenschutz** -Funktionen von Amazon Comprehend, die sicherstellen, dass sensible Informationen sicher verwaltet werden.
- Benutzer schätzen die **wertvollen Einblicke** , die Amazon Comprehend bietet, wodurch die Datenanalyse aus Texten einfacher und effizienter wird.
- Benutzer schätzen die **Benutzerfreundlichkeit** von Amazon Comprehend, die wertvolle Einblicke ermöglicht, ohne dass Erfahrung im maschinellen Lernen erforderlich ist.
- Benutzer schätzen die **Fähigkeit zur wertvollen Einsichtsextraktion** von Amazon Comprehend, die ihre Datenanalyseprozesse effizient verbessert.
- Benutzer schätzen die **einsichtsvollen Textanalyse** -Fähigkeiten von Amazon Comprehend, die das Verständnis aus verschiedenen Textquellen verbessern.

##### Cons

- Benutzer stellen fest, dass **Genauigkeitsprobleme** ohne ausreichende Trainingsdaten auftreten, was die Erkenntnisse beeinträchtigt und die Kosten erheblich erhöht.
- Benutzer finden die **Kosten von Amazon Comprehend hoch** , insbesondere wenn es um die Analyse großer Datenmengen geht.
- Benutzer stellen fest, dass **unzureichendes Training** die Genauigkeit einschränken und die Kosten für die Verarbeitung großer Datenmengen mit Amazon Comprehend erhöhen kann.

#### What Are Recent G2 Reviews of Amazon Comprehend?

**["Leistungsstarke, einfach zu integrierende NLP-Einblicke mit Amazon Comprehend"](https://www.g2.com/de/survey_responses/amazon-comprehend-review-13187739)**

**Rating:** 4.0/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/de/survey_responses/amazon-comprehend-review-13187739)

**["Genau vortrainierte NLP-Modelle mit nahtloser PII-Redaktion"](https://www.g2.com/de/survey_responses/amazon-comprehend-review-12955644)**

**Rating:** 4.5/5.0 stars

_— Ruchi P._

[Read full review](https://www.g2.com/de/survey_responses/amazon-comprehend-review-12955644)

### [Google Cloud Natural Language API](https://www.g2.com/it/products/google-cloud-natural-language-api/reviews)

Deriva approfondimenti da testo non strutturato utilizzando il machine learning di Google.

**Average Rating:** 4.3/5.0

**Total Reviews:** 100

#### How Do G2 Users Rate Google Cloud Natural Language API?

- **Ritiene che the product sia stato un valido partner commerciale?:** 8.3/10 (Category avg: 9.0/10)
- **Estensione personalizzata:** 8.7/10 (Category avg: 8.1/10)
- **Composizionalità:** 8.8/10 (Category avg: 8.3/10)
- **Parametrizzazione Pre-Costruita:** 8.3/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Google Cloud Natural Language API?

- **Venditore:** [Google](https://www.g2.com/it/sellers/google)
- **Anno di Fondazione:** 1998
- **Sede centrale:** Mountain View, CA
- **Twitter:** @google  
31,899,995 follower su Twitter
- **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 dipendenti su LinkedIn®
- **Proprietà:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Software per computer, Tecnologia dell'informazione e servizi
- **Company Size:** 55% Small, 23% Large

#### What Do G2 Reviewers Say About Google Cloud Natural Language API?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti apprezzano la **capacità di caricamento del database** di Google Cloud Natural Language API, migliorando il processo decisionale nei servizi sanitari.
- Gli utenti apprezzano la **gestione efficiente dei dati** di Google Cloud Natural Language API, migliorando il processo decisionale nei servizi sanitari.
- Gli utenti amano il **supporto per il caricamento del database** di Google Cloud Natural Language API, migliorando il processo decisionale in varie applicazioni.

##### Cons

- Gli utenti trovano l' **interfaccia non intuitiva** , rendendo difficile comprendere e utilizzare efficacemente l'API.

#### What Are Recent G2 Reviews of Google Cloud Natural Language API?

**["Una scelta solida per l'analisi del testo e il rilevamento del sentimento"](https://www.g2.com/it/survey_responses/google-cloud-natural-language-api-review-13174091)**

**Rating:** 4.5/5.0 stars

_— Jeni J._

[Read full review](https://www.g2.com/it/survey_responses/google-cloud-natural-language-api-review-13174091)

**["Analisi del testo veloce e accurata con l'API di Google Cloud Natural Language"](https://www.g2.com/it/survey_responses/google-cloud-natural-language-api-review-13188869)**

**Rating:** 4.5/5.0 stars

_— Anjaly T._

[Read full review](https://www.g2.com/it/survey_responses/google-cloud-natural-language-api-review-13188869)

### [Chattermill](https://www.g2.com/de/products/chattermill/reviews)

Chattermill ist die KI-native Customer Experience Intelligence (CXI) Plattform, die fragmentiertes Feedback vereint und aufzeigt, worauf zuerst reagiert werden sollte. Entwickelt für das agentische Zeitalter, wird es von CX-, Voice of Customer (VoC)-, Produkt-, Support- und Insight-Teams bei Unternehmensmarken genutzt, die verstreutes Feedback in eine klare nächste Handlung umwandeln müssen, nicht in ein weiteres Dashboard, das niemand öffnet. Chattermill verbindet sich mit über 100 Feedback-Kanälen, einschließlich Umfragen, Bewertungen, Support-Tickets, Gesprächen und sozialen Medien. Es übersetzt und transkribiert Feedback in über 100 Sprachen, bereichert jedes Signal mit Kontext (Kunden-ID, Kanal, Standort) und klassifiziert jedes Feedback mit Lyra, Chattermills eigenem KI-Modell. Lyra kombiniert aspektbasierte Sentiment-Analyse, überwachtes Lernen und große Sprachmodelle, sodass die Kategorisierung auch bei hohem Volumen konsistent bleibt. Sobald das Feedback organisiert ist, erhalten Teams Metriken zur Verfolgung von NPS, CSAT und Sentiment, präzise Einblicke, die auf spezifische Probleme und Chancen hinweisen, KI-Zusammenfassungen, die durch echte Kundenkommentare gestützt werden, Wirkungsanalysen, die zeigen, was tatsächlich die wichtigsten Metriken bewegt, und Anomalieerkennung, die Spitzen erkennt, bevor sie eskalieren. Berichte und Dashboards erleichtern das Teilen von Erkenntnissen und sorgen dafür, dass jedes Team mit dem gleichen Bild arbeitet. Chattermill verbindet sich auch direkt mit KI-Agenten über MCP und Skills, sodass Teams verifizierte Kundeninformationen von Claude, ChatGPT oder jedem MCP-kompatiblen Agenten abfragen können, ohne ihren Arbeitsablauf zu verlassen. Lyra Agent, Chattermills nativ integrierter CX-Agent, arbeitet im Hintergrund, um eigenständig hochwirksame Einblicke zu liefern. Uber, HelloFresh, Booking.com, Tesco, JustEat und H&M nutzen Chattermill, um ihre Kunden zu verstehen. Uber hat über 400 Nutzer in den Bereichen CX, Produkt und Betrieb. HelloFresh nutzte es, um 7 neue Marken zu lancieren, die auf den Wünschen der Kunden basieren. Footasylum reduzierte die Kontakte pro Transaktion um 42,8%. Chattermill ist SOC 2 Typ II und ISO 27001 zertifiziert und konform mit GDPR und CCPA. G2 hat Chattermill als Grid Leader und Momentum Leader in Feedback Analytics anerkannt.

**Average Rating:** 4.4/5.0

**Total Reviews:** 236

#### How Do G2 Users Rate Chattermill?

- **War the product ein guter Geschäftspartner?:** 9.1/10 (Category avg: 9.0/10)
- **Benutzerdefinierte Erweiterung:** 7.9/10 (Category avg: 8.1/10)
- **Kompositionalität:** 7.7/10 (Category avg: 8.3/10)
- **Vorgefertigte Parametrierung:** 8.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Chattermill?

- **Verkäufer:** [Chattermill](https://www.g2.com/de/sellers/chattermill)
- **Gründungsjahr:** 2015
- **Hauptsitz:** London
- **Twitter:** @ChattermillAI  
460 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d74c2a4d9f3274c1f06539a6eb989c4d31b2029de64343d6b01930fb2b7d0fd6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F9443815%2F&secure%5Burl_type%5D=linkedin_company_website)  
76 Mitarbeiter\*innen auf LinkedIn®
- **Eigentum:** Private

#### Who Uses This Product?

- **Who Uses This:** Produktmanager, Senior Product Manager
- **Top Industries:** Einzelhandel, Finanzdienstleistungen
- **Company Size:** 48% Medium, 45% Large

#### What Do G2 Reviewers Say About Chattermill?

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer finden die **Benutzerfreundlichkeit** von Chattermill außergewöhnlich, da sie schnellen Zugang zu wertvollen Erkenntnissen ohne umfangreiche Schulung ermöglicht.
- Benutzer schätzen das **Echtzeit-Feedback-Management** von Chattermill, das ihre Fähigkeit verbessert, schnell auf Kundenbewertungen zu reagieren.
- Benutzer schätzen die **Klarheit der Kundeninformationen** von Chattermill, die fundierte Entscheidungen und verbesserte Service-Strategien ermöglichen.
- Benutzer schätzen die **umsetzbaren Erkenntnisse** , die von Chattermill generiert werden, da sie die Servicequalität und Entscheidungsfindung erheblich verbessern.
- Benutzer schätzen die **Sauberkeit und Organisation der Bewertungen** in Chattermill, was die Analyse von Kundenfeedback verbessert.

##### Cons

- Benutzer finden **unzureichende Informationen** in Chattermill und bemerken eine steile Lernkurve sowie einen Bedarf an besserer Anleitung.
- Benutzer finden die **Benutzeroberfläche nicht intuitiv** , was es schwierig macht, Einblicke zu gewinnen und Dashboards effizient zu erstellen.
- Benutzer bemerken, dass die **KI-Einschränkungen** Einblicke und Anleitungen behindern, was das gesamte analytische Erlebnis beeinträchtigt.
- Benutzer erleben **Ungenauigkeits** probleme mit der KI von Chattermill, was manchmal zu Fehlklassifikationen und unzuverlässigen Erkenntnissen führt.
- Benutzer finden die **komplexe Benutzerfreundlichkeit** von Chattermill herausfordernd, insbesondere Gelegenheitsnutzer und neue Anwender.

#### What Are Recent G2 Reviews of Chattermill?

**["Chattermill verwandelt mehrsprachiges Kundenfeedback in umsetzbare Produktinformationen"](https://www.g2.com/de/survey_responses/chattermill-review-12772265)**

**Rating:** 4.5/5.0 stars

_— Florent J._

[Read full review](https://www.g2.com/de/survey_responses/chattermill-review-12772265)

**["Intuitive Feedback-Analyse mit Raum für tiefere Einblicke"](https://www.g2.com/de/survey_responses/chattermill-review-10437099)**

**Rating:** 4.0/5.0 stars

_— Thomas Z._

[Read full review](https://www.g2.com/de/survey_responses/chattermill-review-10437099)

#### What Are G2 Users Discussing About Chattermill?

- [Wofür wird Chattermill verwendet?](https://www.g2.com/de/discussions/what-is-chattermill-used-for) - 1 comment

### [Caplena](https://www.g2.com/it/products/caplena/reviews)

Caplena è lo strato di intelligenza del feedback che aiuta i marchi e i team di ricerca a trasformare il feedback aperto in intuizioni precise e azionabili, senza la rigidità delle piattaforme CX tradizionali. Costruito con precisione svizzera, Caplena combina un potere analitico profondo, una flessibilità impareggiabile e una semplicità intuitiva. I team possono analizzare qualsiasi fonte di feedback con un'accuratezza a livello umano, affinare i temi in modo interattivo e modellare i set di dati in modo indipendente, senza bisogno di data scientist. Fidato da oltre 200 organizzazioni tra cui DHL, Lufthansa ed Euromonitor, Caplena offre AI trasparente e spiegabile, dashboard personalizzabili e flussi di lavoro agentici che aiutano i team a passare dal feedback non strutturato a intuizioni di classe mondiale, rapidamente.

**Average Rating:** 4.5/5.0

**Total Reviews:** 53

#### How Do G2 Users Rate Caplena?

- **Ritiene che the product sia stato un valido partner commerciale?:** 9.4/10 (Category avg: 9.0/10)
- **Estensione personalizzata:** 8.7/10 (Category avg: 8.1/10)
- **Composizionalità:** 8.2/10 (Category avg: 8.3/10)
- **Parametrizzazione Pre-Costruita:** 8.1/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Caplena?

- **Venditore:** [Caplena](https://www.g2.com/it/sellers/caplena)
- **Sito web dell'azienda:** www.caplena.com
- **Anno di Fondazione:** 2017
- **Sede centrale:** Zürich, CH
- **Twitter:** @CaplenaCH  
69 follower su Twitter
- **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ab43232f70202dbb8a603ca49211f9d64e775b1563155748868dc09dbb1ce072&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F27224654%2F&secure%5Burl_type%5D=linkedin_company_website)  
27 dipendenti su LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Ricerche di mercato
- **Company Size:** 34% Medium, 25% Small

#### What Do G2 Reviewers Say About Caplena?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti trovano la piattaforma di Caplena **estremamente facile da usare** , apprezzando il suo design intuitivo e il team di supporto reattivo.
- Gli utenti elogiano il **supporto inestimabile** del team di Caplena, apprezzando la loro disponibilità ed efficienza nell'assistenza.
- Gli utenti trovano le **funzionalità avanzate di categorizzazione** di Caplena inestimabili per analizzare e visualizzare efficacemente il feedback dei clienti.
- Gli utenti apprezzano l' **integrazione AI** in Caplena per la sua efficienza nell'analizzare i dati e categorizzare i temi in modo efficace.
- Gli utenti apprezzano l' **efficienza della tecnologia AI** in Caplena, accelerando significativamente l'analisi dei dati e l'impostazione dei progetti.

##### Cons

- Gli utenti trovano Caplena **non intuitivo** , richiedendo maggiore facilità d'uso e spiegazioni contestuali più chiare per un utilizzo efficace.
- Gli utenti trovano che le **funzionalità mancanti** ostacolano l'uso efficace dei dati e la comprensione, influenzando l'esperienza complessiva con Caplena.
- Gli utenti affrontano **limitazioni nell'integrazione del flusso di lavoro** e richiedono strumenti complementari per utilizzare appieno le intuizioni di Caplena.
- Gli utenti trovano **la mancanza di dati auto-codificati** e le limitazioni funzionali frustranti per le loro esigenze di gestione dei dati.
- Gli utenti trovano che la **mancanza di funzionalità essenziali** di Caplena ne limiti l'efficacia per la gestione dei casi e il follow-up operativo.

#### What Are Recent G2 Reviews of Caplena?

**["Caplena trasforma rapidamente i feedback aperti in approfondimenti attuabili"](https://www.g2.com/it/survey_responses/caplena-review-13122445)**

**Rating:** 5.0/5.0 stars

_— Ki-Hoan J._

[Read full review](https://www.g2.com/it/survey_responses/caplena-review-13122445)

**["Abbiamo completamente revisionato il nostro processo di analisi dei dati"](https://www.g2.com/it/survey_responses/caplena-review-13169090)**

**Rating:** 5.0/5.0 stars

_— Utente verificato in Ricerche di mercato_

[Read full review](https://www.g2.com/it/survey_responses/caplena-review-13169090)

#### What Are G2 Users Discussing About Caplena?

- [A cosa serve Caplena?](https://www.g2.com/it/discussions/what-is-caplena-used-for)

### [Birdie](https://www.g2.com/de/products/birdie-ai-birdie/reviews)

Birdie ist eine Plattform für Kundenintelligenz und Kundenerfahrung für regulierte, risikoreiche Branchen im Finanzdienstleistungssektor und Fintech. Es ist die Customer Context Platform: das einzige System, das Kundenintelligenz (Stimme des Kunden und Feedback-Analysen) und Frontline-Intelligenz (Qualitätssicherung der Agenten) in einem geschlossenen CX-Entscheidungssystem vereint. Die meisten Tools für Kundenintelligenz und Feedback-Analysen enden bei der Einsicht. Die meisten Qualitätssicherungstools enden bei einem Bewertungsbogen. Birdie schließt den Kreis: Es erkennt das Signal, diagnostiziert die Ursache, priorisiert die Lösung nach Umsatz- und Abwanderungsrisiko statt nach Ticketvolumen und beweist, dass die Lösung funktioniert hat. Da jede KI-Entscheidung mit ihrer Begründung kommt, erhalten die Compliance- und Risikoteams eine Prüfspur statt einer Blackbox. Verbunden mit Zendesk, Salesforce, Intercom, Slack, Snowflake und Claude über MCP, analysiert Birdie monatlich über 50 Millionen Kundeninteraktionen für CX-, Support- und Produktleiter bei Banken, Kreditgenossenschaften und Fintechs wie Nubank, KOHO und Patreon. Die Ergebnisse: Feedback-Zyklen von zwei Wochen auf unter 24 Stunden verkürzt. Support-Volumen um 75 % gesenkt, während CSAT von 73 auf 91 gestiegen ist. Abwanderung verhindert, Umsatz gesichert. Wenn Ihr Team immer noch manuell von Einsicht zu Aktion übergeht oder Ihr Qualitätssicherungsprogramm noch in einer Tabelle lebt, schließt Birdie diese Lücke.

**Average Rating:** 4.8/5.0

**Total Reviews:** 42

#### How Do G2 Users Rate Birdie?

- **War the product ein guter Geschäftspartner?:** 9.4/10 (Category avg: 9.0/10)
- **Vorgefertigte Parametrierung:** 10.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Birdie?

- **Verkäufer:** [Birdie.ai](https://www.g2.com/de/sellers/birdie-ai-4ab7c489-fcdb-42c4-b38b-7a5884228262)
- **Unternehmenswebsite:** birdie.ai
- **Gründungsjahr:** 2019
- **Hauptsitz:** Palo Alto, US
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ca752490267fa104d9b08056b229cc8079506f6b77167ba833a0c593ad0f2e63&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fusebirdie%2F&secure%5Burl_type%5D=linkedin_company_website)  
63 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Finanzdienstleistungen
- **Company Size:** 56% Medium, 35% Large

#### What Are Recent G2 Reviews of Birdie?

**["Intuitive Kundenstimmenanalyse mit Birdie und herausragendem Support"](https://www.g2.com/de/survey_responses/birdie-review-13163747)**

**Rating:** 5.0/5.0 stars

_— Louiza T._

[Read full review](https://www.g2.com/de/survey_responses/birdie-review-13163747)

**["Wesentlich für schnelle Reaktion, Deeskalation und das Verständnis komplexer Fälle."](https://www.g2.com/de/survey_responses/birdie-review-13162799)**

**Rating:** 5.0/5.0 stars

_— Luana G._

[Read full review](https://www.g2.com/de/survey_responses/birdie-review-13162799)

### [Canvs](https://www.g2.com/it/products/canvs-ai-canvs/reviews)

Le aziende faticano a comprendere il vero significato dei feedback dei clienti e come agire di conseguenza. Canvs risolve questo problema utilizzando un'intelligenza artificiale avanzata per analizzare i dati non strutturati, trasformando sentimenti complessi dei clienti in un'intelligenza chiara e attuabile. Rivelando i motori emotivi dietro il comportamento dei clienti, Canvs consente ai marchi di prendere decisioni più empatiche e basate sui dati che aumentano la fedeltà dei clienti, stimolano l'innovazione e creano connessioni più profonde con il loro pubblico.

**Average Rating:** 4.3/5.0

**Total Reviews:** 147

#### How Do G2 Users Rate Canvs?

- **Ritiene che the product sia stato un valido partner commerciale?:** 8.9/10 (Category avg: 9.0/10)
- **Estensione personalizzata:** 7.2/10 (Category avg: 8.1/10)
- **Composizionalità:** 7.6/10 (Category avg: 8.3/10)
- **Parametrizzazione Pre-Costruita:** 7.4/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Canvs?

- **Venditore:** [Canvs AI](https://www.g2.com/it/sellers/canvs-ai)
- **Sito web dell'azienda:** canvs.ai
- **Anno di Fondazione:** 2010
- **Sede centrale:** New York, New York
- **Twitter:** @canvsai  
2,656 follower su Twitter
- **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=053a4113f64f77963dd604bdf0ca743f152f927d5b7d4974de05289133d543a9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcanvsai%2F&secure%5Burl_type%5D=linkedin_company_website)  
23 dipendenti su LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Ricerche di mercato, Intrattenimento
- **Company Size:** 41% Large, 32% Small

#### What Do G2 Reviewers Say About Canvs?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti elogiano la **facilità d'uso** di Canvs AI, apprezzando la sua interfaccia intuitiva e la navigazione senza soluzione di continuità per l'analisi.
- Gli utenti elogiano le **intuizioni guidate dall'IA** di Canvs, fornendo feedback su misura e migliorando l'esperienza del cliente in modo efficiente.
- Gli utenti apprezzano la **capacità di generazione di insight** di Canvs, rendendo facile estrarre temi chiave dai dati in modo efficiente.
- Gli utenti apprezzano il **supporto clienti reattivo e competente** di Canvs, migliorando la loro esperienza e efficienza.
- Gli utenti trovano Canvs **incredibilmente utile** ed efficace nel semplificare compiti di codifica complessi e generare intuizioni.

##### Cons

- Gli utenti trovano **limitate le capacità di filtraggio dell'IA** , rendendo difficile ottenere approfondimenti mirati da risposte specifiche.
- Gli utenti trovano che **l'accuratezza nella categorizzazione** di Canvs sia carente, portando a difficoltà nell'ottenere approfondimenti mirati.
- Gli utenti sperimentano **prestazioni lente** quando elaborano set di dati più grandi, portando a ritardi frustranti durante l'analisi dei dati.
- Gli utenti sperimentano **instabilità del software** con Canvs, spesso incontrando glitch e prestazioni lente durante l'analisi dei dati.
- Gli utenti affrontano **problemi di accuratezza** con Canvs, spesso richiedendo aggiustamenti manuali per correggere classificazioni errate e intuizioni incoerenti.

#### What Are Recent G2 Reviews of Canvs?

**["Risparmiatore di tempo, un must per le analisi qualitative"](https://www.g2.com/it/survey_responses/canvs-review-11406657)**

**Rating:** 5.0/5.0 stars

_— Utente verificato in Ospedali e assistenza sanitaria_

[Read full review](https://www.g2.com/it/survey_responses/canvs-review-11406657)

**["Canvs AI è un ottimo strumento per analizzare dati da più fonti contemporaneamente, in modo fluido."](https://www.g2.com/it/survey_responses/canvs-review-11085943)**

**Rating:** 4.5/5.0 stars

_— Erika L._

[Read full review](https://www.g2.com/it/survey_responses/canvs-review-11085943)

#### What Are G2 Users Discussing About Canvs?

- [A cosa serve Canvs AI?](https://www.g2.com/it/discussions/what-is-canvs-ai-used-for)

### [Kimola](https://www.g2.com/it/products/kimola/reviews)

Kimola ti permette di estrarre e raccogliere feedback da oltre 30 canali, quindi analizzarli, classificarli e riassumerli tutti, dai commenti sui prodotti e le risposte ai sondaggi alle chat e alle conversazioni dei call center. Che si tratti di recensioni di e-commerce, risposte CSAT o ticket di supporto, Kimola trasforma i feedback grezzi in approfondimenti strutturati su cui puoi agire. Fidato da clienti in oltre 90 paesi Fidato da clienti in oltre 90 paesi, 1000+ aziende, Kimola è utilizzato da imprese globali come P&G Singapore, Pizza Hut Spagna, Michelin Brasile, Honda Paesi Bassi, Costa Coffee UK, Lufthansa Airlines così come da PMI in crescita tra cui Plan3, Astropay e Blueberry Markets. I nostri utenti spaziano dai team di prodotto e #CX alle applicazioni mobili, musei, ristoranti e persino studi di pilates, dimostrando che comprendere i tuoi clienti è importante in ogni settore. Ecco le caratteristiche TOP per cui oltre 1000 aziende scelgono Kimola: - Raccogli recensioni e conversazioni sul web, social media, App Store mobili, siti di e-commerce, Tripadvisor, Trustpilot, Google Business e altro o carica il tuo dataset personalizzato: I tuoi clienti parlano ovunque. Kimola rende facile raccogliere le loro voci da siti web, social media, app store mobili, piattaforme di e-commerce, Intercom, Zendesk e fonti affidabili come Tripadvisor, Trustpilot e Google Business, tutto in un unico posto. - Classifica automaticamente e analizza i temi con multi-etichette e multi-sentimenti: Non c'è bisogno di un addestramento AI precedente per analizzare le tue recensioni. Basta caricare il tuo dataset e analizzare le recensioni istantaneamente con multi-aspetti e multi-sentimenti. Perché tutti i ricercatori sapranno che le etichette singole non funzionano per i migliori approfondimenti! - Crea Modelli Personalizzati senza nemmeno addestramento - Crea Riassunti Non più a setacciare migliaia di recensioni. Kimola genera automaticamente riassunti strutturati, dalle richieste di funzionalità e punti dolenti alle motivazioni d'uso e rapporti pronti per i dirigenti, così puoi agire più velocemente. - Esporta rapporti in Powerpoint, PDF, Excel, CSV Condividi facilmente i tuoi risultati tra i team. Esporta i tuoi approfondimenti in formati PowerPoint, Excel o CSV per inserirli direttamente nei tuoi flussi di lavoro di reporting. - Analizza in oltre 30 lingue con un tasso di accuratezza del 95,4%. Kimola analizza i feedback dei clienti in oltre 30 lingue con un tasso di accuratezza molto elevato, aiutandoti a comprendere il tuo pubblico come mai prima d'ora.

**Average Rating:** 4.8/5.0

**Total Reviews:** 24

#### How Do G2 Users Rate Kimola?

- **Ritiene che the product sia stato un valido partner commerciale?:** 9.8/10 (Category avg: 9.0/10)
- **Estensione personalizzata:** 9.0/10 (Category avg: 8.1/10)
- **Composizionalità:** 8.9/10 (Category avg: 8.3/10)
- **Parametrizzazione Pre-Costruita:** 9.1/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Kimola?

- **Venditore:** [Kimola](https://www.g2.com/it/sellers/kimola)
- **Anno di Fondazione:** 2014
- **Sede centrale:** San Francisco, CALIFORNIA
- **Twitter:** @kimola101  
857 follower su Twitter
- **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=df70e1241db47cc9e8b7bb9b348be3b4a136b73d6e125e0f5c8be761f28e8482&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkimola&secure%5Burl_type%5D=linkedin_company_website)  
9 dipendenti su LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Marketing e pubblicità, Tecnologia dell'informazione e servizi
- **Company Size:** 63% Small, 29% Medium

#### What Do G2 Reviewers Say About Kimola?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti evidenziano la **precisione eccezionale** dell'analisi tematica e del sentiment di Kimola, superando significativamente altri strumenti.
- Gli utenti evidenziano la **facilità d'uso** di Kimola, apprezzando la configurazione senza sforzo e l'interfaccia intuitiva per l'analisi.
- Gli utenti trovano Kimola uno **strumento che fa risparmiare tempo** , consentendo un'analisi efficiente di migliaia di recensioni in poche ore.
- Gli utenti elogiano il **supporto clienti reattivo** di Kimola, fornendo costantemente assistenza utile quando necessario per un utilizzo senza problemi.
- Gli utenti apprezzano la **facilità di comprendere il feedback dei clienti** grazie agli approfondimenti accurati e all'interfaccia intuitiva di Kimola.

##### Cons

- Gli utenti trovano Kimola **privo di funzionalità** come rapporti via email e sondaggi, con la speranza di miglioramenti futuri.
- Gli utenti trovano la **scarsa progettazione dell'interfaccia** frustrante, complicando il processo di acquisto dei crediti e di onboarding.
- Gli utenti trovano la **configurazione complessa** di Kimola impegnativa, soprattutto per coloro che non hanno familiarità con il processo di onboarding.
- Gli utenti trovano frustrante che i **problemi di funzionalità dell'email** non siano attualmente affrontati in Kimola, influenzando l'usabilità.
- Gli utenti trovano le **limitazioni all'esportazione** frustranti, desiderando riassunti più approfonditi e migliori opzioni di presentazione.

#### What Are Recent G2 Reviews of Kimola?

**["Analisi del Sentimento Efficiente con Reportistica Robusta"](https://www.g2.com/it/survey_responses/kimola-review-12752848)**

**Rating:** 5.0/5.0 stars

_— Pragya S._

[Read full review](https://www.g2.com/it/survey_responses/kimola-review-12752848)

**["AI flessibile e potente per l'analisi su larga scala del feedback dei clienti"](https://www.g2.com/it/survey_responses/kimola-review-12772081)**

**Rating:** 4.5/5.0 stars

_— Rens v._

[Read full review](https://www.g2.com/it/survey_responses/kimola-review-12772081)

### [Dovetail](https://www.g2.com/fr/products/dovetail-research-pty-ltd-dovetail/reviews)

Il n'a jamais été aussi facile de créer un produit ou un service. Les barrières à l'entrée (idées, talents et outils) sont rapidement banalisées par l'IA. Plus vos équipes s'alignent rapidement derrière et résolvent les problèmes clients les plus critiques, plus vous débloquez de revenus et de parts de marché. La seule façon de gagner est d'identifier ce dont les clients ont besoin et de le livrer avant la concurrence. Mais cela est difficile à faire. Les données sont dispersées entre les équipes et les outils utilisant diverses méthodes et il est difficile de les comprendre et de s'aligner rapidement. Même dans le monde de l'IA, les défis uniques associés à la collecte, l'analyse et la compréhension des retours clients complexes conduisent les équipes à gaspiller des millions de dollars dans des produits échoués, des cycles de développement plus lents et des efforts dupliqués. En conséquence, elles risquent continuellement de voir diminuer la satisfaction client, et finalement les revenus. Dovetail fournit une compréhension client en continu. Notre plateforme d'intelligence client native à l'IA transforme automatiquement les appels de vente, les retours d'utilisateurs, les tickets de support et les données de la voix du client en informations exploitables qui font croître votre entreprise. Dovetail s'intègre à des dizaines d'outils comme Gong, Intercom, Zoom, Salesforce, Slack, Teams et Google Play pour analyser les vidéos, audios, documents et textes. Générez automatiquement des rapports et des documents de spécifications ; configurez des tableaux de bord pour visualiser les tendances ; et mettez en place des agents pour s'assurer que les informations sont mises en œuvre. Permettez à votre équipe de suivre les demandes de fonctionnalités, d'identifier les points de douleur, de réduire le taux de désabonnement et d'augmenter la satisfaction client grâce à une intelligence client de haute qualité, précise et en temps réel accessible à tous. Déployez le système de référence standard de l'industrie, de niveau entreprise, pour toute votre intelligence client. Mettez votre client en premier et développez votre entreprise. Nous sommes pour les équipes qui se soucient de résoudre de vrais problèmes clients. Rejoignez des entreprises comme Meta, Volvo, AWS, Dyson, Deloitte, et des milliers d'autres alors qu'elles mettent leur client en premier avec Dovetail.

**Average Rating:** 4.5/5.0

**Total Reviews:** 167

#### How Do G2 Users Rate Dovetail?

- **the product a-t-il été un bon partenaire commercial?:** 8.9/10 (Category avg: 9.0/10)
- **Extension personnalisée:** 4.5/10 (Category avg: 8.1/10)
- **Compositionnalité:** 5.0/10 (Category avg: 8.3/10)
- **Paramétrage prédéfini:** 5.1/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Dovetail?

- **Vendeur:** [Dovetail Research Pty. Ltd.](https://www.g2.com/fr/sellers/dovetail-research-pty-ltd)
- **Site Web de l'entreprise:** dovetail.com
- **Année de fondation:** 2017
- **Emplacement du siège social:** Sydney, Australia
- **Twitter:** @hidovetail  
2,183 abonnés Twitter
- **Page LinkedIn®:** [au.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=681367e9652c5d78585cc44cb1824f4ea5f1e39a36020ed5ad6f453ded053976&secure%5Burl%5D=https%3A%2F%2Fau.linkedin.com%2Fcompany%2Fheydovetail&secure%5Burl_type%5D=linkedin_company_website)  
163 employés sur LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Chercheur UX Senior, Chercheur UX
- **Top Industries:** Logiciels informatiques, Technologie de l'information et services
- **Company Size:** 45% Medium, 27% Small

#### What Do G2 Reviewers Say About Dovetail?

_AI-generated summary from verified user reviews_

##### Pros

- Les utilisateurs apprécient la **facilité d'utilisation** de Dovetail, profitant de son emplacement centralisé et de ses fonctionnalités intuitives pour la synthèse de recherche.
- Les utilisateurs adorent Dovetail pour son **organisation centralisée de la recherche** et ses fonctionnalités d'IA impressionnantes qui améliorent l'interaction avec les données.
- Les utilisateurs apprécient **l'interface intuitive et les fonctionnalités puissantes** de Dovetail, améliorant l'efficacité de la recherche et la collaboration en équipe.
- Les utilisateurs apprécient la **réutilisation efficace des données** de Dovetail, permettant des insights plus rapides et réduisant le besoin d'études répétées.
- Les utilisateurs apprécient les **capacités de réutilisation des données** de Dovetail, ce qui améliore considérablement l'efficacité de la recherche et les insights.

##### Cons

- Les utilisateurs trouvent les **fonctionnalités manquantes** de Dovetail frustrantes, en particulier dans les outils d'IA, le marquage, les flux de travail et les options de rapport.
- Les utilisateurs éprouvent un **manque de guidance** avec Dovetail, ayant du mal à naviguer dans la configuration et à optimiser l'utilisation efficacement.
- Les utilisateurs trouvent le **système de balisage complexe** et les fonctionnalités d'IA dans Dovetail difficiles, compliquant leur expérience globale et leur efficacité.
- Les utilisateurs trouvent la **complexité** de Dovetail difficile, soulignant une courbe d'apprentissage abrupte et des méthodes de balisage lourdes.
- Les utilisateurs trouvent la **courbe d'apprentissage abrupte** de Dovetail frustrante, ce qui entrave la gestion efficace des projets à long terme et le partage des insights.

#### What Are Recent G2 Reviews of Dovetail?

**["Dovetail centralise la recherche avec une collaboration intuitive et alimentée par l'IA."](https://www.g2.com/fr/survey_responses/dovetail-review-12911093)**

**Rating:** 4.5/5.0 stars

_— Luciana S._

[Read full review](https://www.g2.com/fr/survey_responses/dovetail-review-12911093)

**["Dovetail nous a aidés à trouver notre chemin vers l'adéquation produit-marché"](https://www.g2.com/fr/survey_responses/dovetail-review-10368938)**

**Rating:** 4.5/5.0 stars

_— Emilio P._

[Read full review](https://www.g2.com/fr/survey_responses/dovetail-review-10368938)

### [SAP HANA Cloud](https://www.g2.com/de/products/sap-hana-cloud-2025-10-01/reviews)

SAP HANA Cloud ist ein moderner Database-as-a-Service (DBaaS), der die nächste Generation intelligenter Datenanwendungen antreibt. SAP HANA Cloud bietet einen Wettbewerbsvorteil, indem es fortschrittliche maschinelle Lern- und Vorhersagewerkzeuge integriert, die auf moderner Datenwissenschaft basieren. Seine leistungsstarke In-Memory-Performance gewährleistet eine effiziente Datenverarbeitung. Durch die sichere Speicherung großer Datenmengen mit seinem integrierten Mehrstufenspeicher und die Handhabung verschiedener Typen auf einer einzigen Kopie in seiner nativen Multi-Model-Datenbank vereinfacht SAP HANA Cloud das Datenmanagement und verbindet sich mit anderen Datenquellen. Die nahtlose Integration dieser Fähigkeiten in eine zuverlässige, einheitliche Grundlage erleichtert es Entwicklern, intelligente Datenanwendungen mit hoher Nachfrage zu erstellen.

**Average Rating:** 4.3/5.0

**Total Reviews:** 521

#### How Do G2 Users Rate SAP HANA Cloud?

- **War the product ein guter Geschäftspartner?:** 8.5/10 (Category avg: 9.0/10)
- **Benutzerdefinierte Erweiterung:** 9.2/10 (Category avg: 8.1/10)
- **Kompositionalität:** 8.9/10 (Category avg: 8.3/10)
- **Vorgefertigte Parametrierung:** 8.3/10 (Category avg: 8.3/10)

#### Who Is the Company Behind SAP HANA Cloud?

- **Verkäufer:** [SAP](https://www.g2.com/de/sellers/sap)
- **Gründungsjahr:** 1972
- **Hauptsitz:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 Mitarbeiter\*innen auf LinkedIn®
- **Eigentum:** NYSE:SAP

#### Who Uses This Product?

- **Who Uses This:** Berater, SAP-Berater
- **Top Industries:** Informationstechnologie und Dienstleistungen, Computersoftware
- **Company Size:** 61% Large, 26% Medium

#### What Do G2 Reviewers Say About SAP HANA Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer schätzen die **Benutzerfreundlichkeit** von SAP HANA Cloud, genießen nahtlose Integration und reibungslose Echtzeitanalysen.
- Benutzer schätzen die **einfachen Integrationen** von SAP HANA Cloud, die ihren Arbeitsablauf und die Datenverwaltung nahtlos verbessern.
- Benutzer schätzen die **nahtlosen Integrationsmöglichkeiten** von SAP HANA Cloud, die Effizienz steigern und das Datenmanagement vereinfachen.
- Benutzer schätzen die **Geschwindigkeit und Reaktionsfähigkeit** von SAP HANA Cloud, was die Datenverarbeitung effizient und reibungslos macht.
- Benutzer schätzen die **flexible und elastische Skalierbarkeit** von SAP HANA Cloud, die die Leistung für datenintensive Anwendungen verbessert.

##### Cons

- Benutzer finden die **Komplexität der Einrichtung** herausfordernd, insbesondere für neue Benutzer und Integrationen mit anderen Systemen.
- Benutzer finden SAP HANA Cloud **teuer** , insbesondere bei großen Datenanforderungen und fortgeschrittenen Konfigurationen, die Fachwissen erfordern.
- Benutzer finden die **Lernkurve herausfordernd** , insbesondere für Teams, die neu in den Konzepten von HANA und den SQL-Erweiterungen sind.
- Benutzer finden die **schwierige Lernkurve** von SAP HANA Cloud herausfordernd, insbesondere für neue Benutzer und die Navigation durch Funktionen.
- Benutzer finden die **komplexe Einrichtung** von SAP HANA Cloud herausfordernd, insbesondere für Neulinge und während der anfänglichen Bereitstellung.

#### What Are Recent G2 Reviews of SAP HANA Cloud?

**["Effiziente Transaktionen, aber zeitintensive Einrichtung"](https://www.g2.com/de/survey_responses/sap-hana-cloud-review-12983922)**

**Rating:** 4.0/5.0 stars

_— Sumeet R._

[Read full review](https://www.g2.com/de/survey_responses/sap-hana-cloud-review-12983922)

**["Echtzeit-Analyse-Kraftpaket mit flexibler, skalierbarer Leistung."](https://www.g2.com/de/survey_responses/sap-hana-cloud-review-12631916)**

**Rating:** 5.0/5.0 stars

_— Mahendra S._

[Read full review](https://www.g2.com/de/survey_responses/sap-hana-cloud-review-12631916)

### [Google Cloud AutoML Natural Language](https://www.g2.com/de/products/google-cloud-automl-natural-language/reviews)

Die leistungsstarken vortrainierten Modelle der Natural Language API ermöglichen es Entwicklern, mit Funktionen des natürlichen Sprachverständnisses zu arbeiten, einschließlich Sentiment-Analyse, Entitätsanalyse, Entitätensentiment-Analyse, Inhaltsklassifizierung und Syntaxanalyse.

**Average Rating:** 4.5/5.0

**Total Reviews:** 18

#### How Do G2 Users Rate Google Cloud AutoML Natural Language?

- **War the product ein guter Geschäftspartner?:** 9.7/10 (Category avg: 9.0/10)
- **Benutzerdefinierte Erweiterung:** 5.6/10 (Category avg: 8.1/10)
- **Kompositionalität:** 6.7/10 (Category avg: 8.3/10)
- **Vorgefertigte Parametrierung:** 6.1/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Google Cloud AutoML Natural Language?

- **Verkäufer:** [Google](https://www.g2.com/de/sellers/google)
- **Gründungsjahr:** 1998
- **Hauptsitz:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 Mitarbeiter\*innen auf LinkedIn®
- **Eigentum:** NASDAQ:GOOG

#### Who Uses This Product?

- **Company Size:** 61% Small, 22% Large

#### What Are Recent G2 Reviews of Google Cloud AutoML Natural Language?

**["Einfache No-Code-Schulung mit benutzerdefinierten Daten-Uploads"](https://www.g2.com/de/survey_responses/google-cloud-automl-natural-language-review-13193104)**

**Rating:** 5.0/5.0 stars

_— Dulce G._

[Read full review](https://www.g2.com/de/survey_responses/google-cloud-automl-natural-language-review-13193104)

**["Präzise, benutzerdefinierte Textklassifizierung mit nahtloser Google Cloud-Integration"](https://www.g2.com/de/survey_responses/google-cloud-automl-natural-language-review-13179214)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/de/survey_responses/google-cloud-automl-natural-language-review-13179214)

#### What Are G2 Users Discussing About Google Cloud AutoML Natural Language?

- [What is Google Cloud Natural Language API?](https://www.g2.com/de/discussions/google-cloud-automl-natural-language-what-is-google-cloud-natural-language-api)
- [What is Google Cloud Natural Language API?](https://www.g2.com/de/discussions/what-is-google-cloud-natural-language-api)
- [Does Google use natural language processing?](https://www.g2.com/de/discussions/does-google-use-natural-language-processing)
- [What can AutoML be used for?](https://www.g2.com/de/discussions/what-can-automl-be-used-for)
- [Was ist Google AutoML Natural Language?](https://www.g2.com/de/discussions/what-is-google-automl-natural-language) - 1 comment, 1 upvote

### [Unwrap.ai](https://www.g2.com/fr/products/unwrap-ai/reviews)

Chez Unwrap, nous avons pour mission de contribuer à remplir le monde de produits que les gens adorent. Notre plateforme d'intelligence client s'intègre à toutes vos sources de feedback (tickets de support, avis, enquêtes, et plus encore), puis extrait de manière proactive des modèles et des tendances de vos retours et vous les présente. Avec une compréhension plus approfondie de tous vos clients, Unwrap vous aide à construire votre feuille de route produit en toute confiance et vous aide à prévenir le désabonnement en livrant des fonctionnalités que les utilisateurs souhaitent réellement.

**Average Rating:** 4.8/5.0

**Total Reviews:** 26

#### How Do G2 Users Rate Unwrap.ai?

- **the product a-t-il été un bon partenaire commercial?:** 9.9/10 (Category avg: 9.0/10)

#### Who Is the Company Behind Unwrap.ai?

- **Vendeur:** [Unwrap.ai](https://www.g2.com/fr/sellers/unwrap-ai)
- **Site Web de l'entreprise:** unwrap.ai
- **Année de fondation:** 2022
- **Emplacement du siège social:** Santa Barbara, California
- **Twitter:** @unwrapai  
152 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e40d58f68df3ad688a24a6996f4a3bee6240b238a8acc8d7753d9f5861ccd686&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Funwrapai%2F&secure%5Burl_type%5D=linkedin_company_website)  
48 employés sur LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Logiciels informatiques
- **Company Size:** 50% Medium, 27% Large

#### What Do G2 Reviewers Say About Unwrap.ai?

_AI-generated summary from verified user reviews_

##### Pros

- Les utilisateurs apprécient la **facilité de synthétiser les retours des clients** avec l'IA d'Unwrap, améliorant considérablement les insights et la priorisation.
- Les utilisateurs trouvent Unwrap.ai incroyablement **facile à utiliser** , avec un design intuitif qui assure une maîtrise rapide de la plateforme.
- Les utilisateurs trouvent le **support utile et réactif** d'Unwrap.ai inestimable, améliorant leur flux de travail et répondant efficacement aux besoins des clients.
- Les utilisateurs apprécient les **informations qui font gagner du temps** de Unwrap.ai, permettant une identification rapide des problèmes et des tendances des clients.
- Les utilisateurs louent Unwrap.ai pour son **engagement envers l'amélioration continue** et son support client attentif qui génère des fonctionnalités précieuses.

##### Cons

- Les utilisateurs trouvent **l'interface peu intuitive** , ce qui rend difficile l'organisation et la gestion efficace des retours.
- Les utilisateurs trouvent que les **outils limités** entravent leur capacité à visualiser et gérer efficacement la personnalisation des retours dans Unwrap.ai.
- Les utilisateurs signalent une **mauvaise compréhension** des retours en raison d'une précision limitée dans les regroupements d'IA et de processus manuels maladroits.
- Les utilisateurs trouvent que la **fonctionnalité de recherche est insuffisante** , nécessitant des ajustements manuels constants pour une récupération et une analyse des données efficaces.
- Les utilisateurs notent les **outils de visualisation limités** dans Unwrap.ai, bien que la détection des tendances par l'IA soit très appréciée.

#### What Are Recent G2 Reviews of Unwrap.ai?

**["Unwrap rend la communication des retours d'expérience facile grâce à une IA puissante, des tableaux de bord et un support."](https://www.g2.com/fr/survey_responses/unwrap-ai-review-12700187)**

**Rating:** 5.0/5.0 stars

_— Marcello B._

[Read full review](https://www.g2.com/fr/survey_responses/unwrap-ai-review-12700187)

**["Les alertes en temps réel transforment les retours des clients en informations exploitables"](https://www.g2.com/fr/survey_responses/unwrap-ai-review-12579424)**

**Rating:** 4.5/5.0 stars

_— Utilisateur vérifié à Électronique grand public_

[Read full review](https://www.g2.com/fr/survey_responses/unwrap-ai-review-12579424)

### [Speak](https://www.g2.com/de/products/speak-ai-speak/reviews)

Speak ist eine No-Code-Transkriptions- und natürliche Sprachverarbeitungsplattform, die Forschern und Vermarktern hilft, wertvolle Erkenntnisse aus Medien zu gewinnen. Professionelle und automatisierte Transkription, Dashboard-Berichte erstellen und Audio-, Video- und Textdaten in großem Maßstab erfassen. Über 150.000 Einzelpersonen und Teams aus über 150 Ländern haben sich angemeldet, um Sprachanalysen einfach in Arbeitsabläufe zu integrieren und Durchbrüche in Effizienz und Intelligenz zu erzielen. Zugang zu einer 7-tägigen Testversion mit 2 Stunden Transkription und Analyse und allen Funktionen inklusive.

**Average Rating:** 4.9/5.0

**Total Reviews:** 28

#### How Do G2 Users Rate Speak?

- **War the product ein guter Geschäftspartner?:** 10.0/10 (Category avg: 9.0/10)
- **Benutzerdefinierte Erweiterung:** 9.2/10 (Category avg: 8.1/10)
- **Kompositionalität:** 9.0/10 (Category avg: 8.3/10)
- **Vorgefertigte Parametrierung:** 8.9/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Speak?

- **Verkäufer:** [Speak Ai](https://www.g2.com/de/sellers/speak-ai)
- **Gründungsjahr:** 2019
- **Hauptsitz:** Toronto, CA
- **Twitter:** @speakai\_co  
256 Twitter-Follower
- **LinkedIn®-Seite:** [linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=31e9f838de2b5a63892092163864c0a991223a4a0049ba4974be634ee7b098ba&secure%5Burl%5D=https%3A%2F%2Flinkedin.com%2Fcompany%2Fspeakai-co&secure%5Burl_type%5D=linkedin_company_website)  
5 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Non-Profit-Organisationsmanagement
- **Company Size:** 89% Small, 7% Medium

#### What Do G2 Reviewers Say About Speak?

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer finden Speak **sehr einfach zu bedienen** , was die Produktivität während Besprechungen erhöht und die Transkriptionsprozesse rationalisiert.
- Benutzer schätzen die **zeitsparenden** Vorteile von Speak AI, die effiziente Berichte und genaue Besprechungszusammenfassungen ermöglichen.
- Benutzer schätzen die **hohe Genauigkeit und aufschlussreiche Analyse** von Speak zur Verbesserung der Transkription und Gesprächsverwaltung.
- Benutzer heben die **beeindruckende Genauigkeit** von Speak AI hervor, die Effizienz steigert und Transkriptions- und Berichtaufgaben transformiert.
- Benutzer heben die **hohe Transkriptionsgenauigkeit** von Speak.ai hervor, die die Effizienz und Benutzererfahrung erheblich verbessert.

##### Cons

- Benutzer äußern Frustration über die **Kosten** und finden die kurze Testphase einschränkend für die Ausbildung von Studenten.
- Benutzer stehen vor **Abonnementproblemen** , einschließlich Anmeldeproblemen, Zahlungsbedenken und einer kurzen Testphase für das Training.
- Benutzer finden gelegentlich **Genauigkeitsprobleme** mit Speak, was einige Anstrengungen erfordert, um sicherzustellen, dass ihre Notizen korrekt sind.
- Benutzer stehen vor **Beitrittsproblemen** wie Anmelde-Schwierigkeiten, Zahlungsproblemen und einer kurzen Probezeit für das Training.
- Benutzer bemerken **Übersetzungsprobleme** auf Französisch, was zu Verwirrung bei Feldtiteln wie Besprechungsbenachrichtigungen führt.

#### What Are Recent G2 Reviews of Speak?

**["Sprechen sollte einfach sein"](https://www.g2.com/de/survey_responses/speak-review-11883693)**

**Rating:** 5.0/5.0 stars

_— Ted H._

[Read full review](https://www.g2.com/de/survey_responses/speak-review-11883693)

**["Beeindruckendes Werkzeug."](https://www.g2.com/de/survey_responses/speak-review-11669828)**

**Rating:** 5.0/5.0 stars

_— Francois L._

[Read full review](https://www.g2.com/de/survey_responses/speak-review-11669828)

### [DocuPipe](https://www.g2.com/fr/products/docupipe/reviews)

DocuPipe est une solution de traitement de documents par IA conçue pour aider les utilisateurs à extraire et comprendre efficacement les informations d'une grande variété de documents. Ce logiciel utilise une vision par ordinateur avancée et une orchestration de modèles de langage de grande taille (LLM) pour analyser les documents même lorsqu'ils sont longs, varient dans leur mise en page et contiennent des tableaux complexes ou de l'écriture manuscrite. DocuPipe permet à votre entreprise de définir facilement comment vous souhaitez comprendre vos types de documents spécifiques. Triez automatiquement les documents entrants et mappez-les à la bonne extraction, et obtenez un résultat fiable à chaque fois - même si le document est long, scanné ou présente une mise en page variable. Automatisez tout, du traitement des factures à la liste de contrôle d'admission des patients basée sur les rapports de laboratoire, en passant par la compréhension des factures de services publics. Une caractéristique clé de DocuPipe est sa capacité d'extraction basée sur un schéma. Les utilisateurs peuvent simplement expliquer en anglais simple comment ils souhaitent qu'un document soit compris, et le moteur d'IA examine des milliers de documents pour construire une structure qui a du sens compte tenu des documents réels. Cela se traduit par des sorties fortement typées et cohérentes, garantissant que les données extraites sont fiables et facilement intégrées à d'autres systèmes. Contrairement aux solutions basées uniquement sur les LLM, DocuPipe est capable d'ancrer ses prédictions dans le texte physique - en surlignant en jaune les preuves derrière chaque chiffre, date ou conclusion qu'il a tirée d'un document. Cela vous permet de définir des pipelines de révision pour les traitements à enjeux élevés, ou lorsque la conformité nécessite une intervention humaine. Concentrez l'attention humaine précieuse sur les champs à faible confiance, et débloquez une croissance de productivité de 10x pour les opérations de saisie de données. DocuPipe offre de nombreux chemins d'intégration. Envoyez vos résultats de données vers plus de 5000 destinations débloquées à l'aide de solutions sans code telles que Workato, Make et n8n. Définissez des flux de travail avec une interface graphique, et connectez des pipelines complexes en utilisant son API largement documentée.

**Average Rating:** 4.9/5.0

**Total Reviews:** 58

#### How Do G2 Users Rate DocuPipe?

- **the product a-t-il été un bon partenaire commercial?:** 9.4/10 (Category avg: 9.0/10)
- **Extension personnalisée:** 10.0/10 (Category avg: 8.1/10)
- **Compositionnalité:** 10.0/10 (Category avg: 8.3/10)
- **Paramétrage prédéfini:** 10.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind DocuPipe?

- **Vendeur:** [DocuPipe](https://www.g2.com/fr/sellers/docupipe)
- **Site Web de l'entreprise:** www.docupanda.io
- **Année de fondation:** 2023
- **Emplacement du siège social:** New York City, US
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1cf92a91d0cfbad5b1eb9bc2ca6c9fb3eda4123e1284efbf0db99f5aeb14a0ab&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdocupanda%2F&secure%5Burl_type%5D=linkedin_company_website)  
5 employés sur LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Comptabilité, Technologie de l'information et services
- **Company Size:** 51% Small, 25% Medium

#### What Do G2 Reviewers Say About DocuPipe?

_AI-generated summary from verified user reviews_

##### Pros

- Les utilisateurs apprécient la **facilité d'utilisation** de DocuPipe, facilitant la transcription rapide des données sans besoin de modifications de conception.
- Les utilisateurs louent la **précision de la transcription de DocuPipe** , notamment pour convertir de manière fiable les formulaires manuscrits en données structurées.
- Les utilisateurs s'extasient sur le **service client exceptionnel** de DocuPipe, offrant une assistance rapide et efficace chaque fois que nécessaire.
- Les utilisateurs louent DocuPipe pour son **extraction de données précise** à partir de divers formulaires, améliorant ainsi l'efficacité et la fiabilité du traitement.
- Les utilisateurs trouvent **l'installation initiale de DocuPipe facile** , ce qui simplifie l'intégration et améliore l'expérience utilisateur globale et l'efficacité.

##### Cons

- Les utilisateurs notent que la **mauvaise conception de l'interface** de DocuPipe peut nuire à la clarté et à l'efficacité lors du traitement des documents.
- Les utilisateurs suggèrent que la **mauvaise conception de l'interface utilisateur** de DocuPipe nuit à la clarté et pourrait bénéficier d'améliorations.
- Les utilisateurs trouvent que DocuPipe est **cher** , surtout avec une tarification complexe et des coûts supplémentaires pour les erreurs de schéma.
- Les utilisateurs estiment que **l'interface utilisateur nécessite des améliorations** , ce qui provoque une confusion dans la navigation malgré les améliorations récentes.
- Les utilisateurs rencontrent une **courbe d'apprentissage difficile** avec DocuPipe, nécessitant du temps et des crédits pour naviguer efficacement.

#### What Are Recent G2 Reviews of DocuPipe?

**["Intégration d'API simple et flux de travail de documents flexibles basés sur un schéma"](https://www.g2.com/fr/survey_responses/docupipe-review-13087649)**

**Rating:** 4.5/5.0 stars

_— Rio E._

[Read full review](https://www.g2.com/fr/survey_responses/docupipe-review-13087649)

**["Extraction d'IA puissante avec un schéma facile à éditer et un support réactif"](https://www.g2.com/fr/survey_responses/docupipe-review-13048236)**

**Rating:** 5.0/5.0 stars

_— Utilisateur vérifié à Pétrole et énergie_

[Read full review](https://www.g2.com/fr/survey_responses/docupipe-review-13048236)

### [IBM Watson Studio](https://www.g2.com/it/products/ibm-watson-studio/reviews)

IBM Watson Studio su IBM Cloud Pak for Data è una soluzione leader per la scienza dei dati e il machine learning che aiuta le imprese ad accelerare la trasformazione digitale potenziata dall'IA. Permette alle aziende di scalare l'IA affidabile e ottimizzare le decisioni. Costruisci, esegui e gestisci modelli di IA su qualsiasi cloud attraverso un ciclo di vita dell'IA automatizzato end-to-end, semplificando la sperimentazione e il deployment, accelerando l'esplorazione e la preparazione dei dati, e migliorando lo sviluppo e l'addestramento dei modelli. Governa e monitora i modelli per mitigare il drift e il bias, e gestisci il rischio del modello. Costruisci una pratica di ModelOps che sincronizza le pipeline di applicazioni e modelli per operazionalizzare un'IA responsabile e spiegabile in tutta l'impresa. Come offerta chiave di IBM Cloud Pak for Data, una piattaforma unificata per dati e IA, Watson Studio si integra perfettamente con i servizi di gestione dei dati, le capacità di privacy e sicurezza dei dati, gli strumenti per applicazioni IA, i framework open source e un ecosistema tecnologico robusto. Unisce i team e consente alle aziende di costruire l'architettura informativa moderna che l'IA richiede e di infonderla in tutta l'organizzazione. IBM Watson Studio è opzionale per il codice, permettendo sia ai data scientist che agli analisti aziendali di lavorare sulla stessa piattaforma fornendo il meglio degli strumenti open source insieme a capacità visive di drag-and-drop. Consente alle organizzazioni di sfruttare i beni dati e iniettare previsioni nei processi aziendali e nelle applicazioni moderne, aiutandole a massimizzare il loro valore aziendale. È adatto per ambienti multicloud ibridi che richiedono prestazioni mission-critical, sicurezza e governance. Le caratteristiche includono: • AutoAI che elimina compiti ripetitivi e dispendiosi in termini di tempo automatizzando la preparazione dei dati, lo sviluppo dei modelli, l'ingegneria delle caratteristiche e l'ottimizzazione degli iperparametri. • Analisi del testo per scoprire intuizioni dai dati non strutturati • Costruzione di modelli visivi drag-and-drop con SPSS Modeler • Accesso ampio ai dati – file flat, fogli di calcolo, principali database relazionali • Motore grafico sofisticato per costruire visualizzazioni sorprendenti • Supporto per Notebook Python 3 Watson Studio è disponibile tramite diverse opzioni di deployment: • IBM Cloud Pak for Data – Una piattaforma dati e IA aperta ed estensibile che funziona su qualsiasi cloud • IBM Cloud Pak for Data System – Una piattaforma-in-a-box ibrida cloud, on-premises • IBM Cloud Pak for Data as a Service – Un set di servizi della piattaforma IBM Cloud Pak for Data completamente gestiti su IBM Cloud

**Average Rating:** 4.2/5.0

**Total Reviews:** 163

#### How Do G2 Users Rate IBM Watson Studio?

- **Ritiene che the product sia stato un valido partner commerciale?:** 8.0/10 (Category avg: 9.0/10)
- **Estensione personalizzata:** 8.1/10 (Category avg: 8.1/10)
- **Composizionalità:** 9.2/10 (Category avg: 8.3/10)
- **Parametrizzazione Pre-Costruita:** 9.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind IBM Watson Studio?

- **Venditore:** [IBM](https://www.g2.com/it/sellers/ibm)
- **Anno di Fondazione:** 1911
- **Sede centrale:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 follower su Twitter
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- **Proprietà:** SWX:IBM

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, CEO
- **Top Industries:** Tecnologia dell'informazione e servizi, Software per computer
- **Company Size:** 49% Large, 31% Small

#### What Do G2 Reviewers Say About IBM Watson Studio?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti apprezzano la **capacità Auto AI** di IBM Watson Studio, che automatizza i compiti e migliora l'efficienza della scienza dei dati.
- Gli utenti apprezzano la **capacità Auto AI** di IBM Watson Studio, riducendo significativamente il lavoro manuale e migliorando la produttività.
- Gli utenti apprezzano la **facilità d'uso** di IBM Watson Studio, che consente un rapido avvio dei progetti e una collaborazione senza interruzioni.
- Gli utenti apprezzano la **capacità Auto AI** di IBM Watson Studio, riducendo significativamente il lavoro manuale nella pre-elaborazione dei dati.
- Gli utenti trovano l' **integrazione AI facile** di IBM Watson Studio trasformativa, migliorando significativamente i loro flussi di lavoro di data science e ML.

##### Cons

- Gli utenti trovano il **prezzo elevato** di IBM Watson Studio un ostacolo significativo, soprattutto per individui e startup.
- Gli utenti trovano la **ripida curva di apprendimento** di IBM Watson Studio impegnativa, soprattutto per i principianti che navigano tra le funzionalità complesse.
- Gli utenti affrontano una **ripida curva di apprendimento** con IBM Watson Studio, rendendo difficile per i principianti navigare tra le funzionalità complesse.
- Gli utenti trovano l' **interfaccia complessa** di IBM Watson Studio impegnativa, soprattutto per i principianti che navigano tra le sue funzionalità.
- Gli utenti trovano la **ripida curva di apprendimento** di IBM Watson Studio impegnativa, in particolare a causa della sua interfaccia complessa.

#### What Are Recent G2 Reviews of IBM Watson Studio?

**["Una piattaforma tutto in uno utile per l'analisi dei dati e l'IA"](https://www.g2.com/it/survey_responses/ibm-watson-studio-review-13090033)**

**Rating:** 4.5/5.0 stars

_— Miguel P._

[Read full review](https://www.g2.com/it/survey_responses/ibm-watson-studio-review-13090033)

**["Piattaforma robusta per una collaborazione senza soluzione di continuità nella scienza dei dati"](https://www.g2.com/it/survey_responses/ibm-watson-studio-review-12313951)**

**Rating:** 4.5/5.0 stars

_— Naimish M._

[Read full review](https://www.g2.com/it/survey_responses/ibm-watson-studio-review-12313951)

#### What Are G2 Users Discussing About IBM Watson Studio?

- [A cosa serve IBM Watson Studio?](https://www.g2.com/it/discussions/what-is-ibm-watson-studio-used-for) - 1 upvote
- [What are the main benefits of using AutoAI in IBM Watson Studio?](https://www.g2.com/it/discussions/what-are-the-main-benefits-of-using-autoai-in-ibm-watson-studio)
- [Is IBM Watson Studio free?](https://www.g2.com/it/discussions/is-ibm-watson-studio-free)
- [How do I use IBM Watson Studio?](https://www.g2.com/it/discussions/how-do-i-use-ibm-watson-studio)
- [What does IBM Watson Studio do?](https://www.g2.com/it/discussions/what-does-ibm-watson-studio-do)

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[Browse Text Analysis Themes](/categories/text-analysis/themes)

 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated October 3, 2024

Text analysis software, also called text analytics or text mining software, helps users gain insights from both structured and unstructured text data using natural language processing (NLP). Such insights include sentiment analysis, key phrases, language, themes and patterns, and entities, among others. These solutions leverage [NLP](https://www.g2.com/categories/natural-language-processing-nlp) and [machine learning](https://www.g2.com/categories/machine-learning) to pull out different insights and provide visual representations of the data for easier interpretation.

Text analysis tools can consume text data from a variety of sources, including emails, phone transcripts, surveys, customer reviews, and other documents. By importing text data from these different sources, businesses are better equipped to understand and analyze customer or employee sentiment, intelligently classify documents, and improve written content. Text analysis software may be used in conjunction with other analytics tools, including [big data analytics](https://www.g2.com/categories/big-data-analytics) and [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms).

To qualify for the Text Analysis category, a product must:

- Import text data from a variety of different data sources
- Use natural language processing to extract insights from the text, including key phrases, language, sentiment, and other patterns
- Provide visualizations for text data

Show More

* * *

## How Do You Choose the Right Text Analysis Software?

### What You Should Know About Text Analysis Software

### What is Text Analysis Software?

Text analysis software helps businesses analyze their text data using natural language understanding, which is a subset of natural language processing. Because of the unstructured nature of text data, these analytics solutions take text as an input and provide some form of labels, tags, or insights as an input. In the age of digital transformation, businesses are embracing the need to understand company data like never before. 

Text analysis software, also known as text mining software or text analytics software, has become an important tool for nearly every business over the past decade. A more recent aspect of analytics and business intelligence is the need to understand not just structured data, but unstructured data as well. Unstructured data, such as text data, can be mined for meaning to inform business decisions. 

Text mining initiatives can help businesses ultimately better understand textual data sets. Being able to pull out actionable insights from numerical data housed in [ERP](https://www.g2.com/categories/erp) systems, [CRM software](https://www.g2.com/categories/crm), or [accounting software](https://www.g2.com/categories/accounting) is one thing, but being able to gain insights from unstructured data sources is invaluable. Without dedicated software for this task, businesses must either spend significant time and resources on building natural language understanding models or haphazardly investigating the data.

#### What Types of Text Analysis Software Exist?

Many types of text analysis solutions share overlapping functionality, while simultaneously catering to different user personas like data analysts and financial analysts, or providing unique services.

Some solutions may offer self-service features so that the average employee can assemble their charts and graphs from big data sets. Others, however, require more significant support from IT or data analysts.

**Self-service text analysis tools**

Self-service text analysis tools do not require coding knowledge, so end users with limited to no coding knowledge can take advantage of them for data needs. This enables business users like sales representatives, human resource managers, marketers, and other non-data team members to make decisions based on relevant business data. Self-service solutions often provide drag-and-drop functionality for tagging text, prebuilt templates for querying data, and other tools for data discovery. Similar to [analytics platforms](https://www.g2.com/categories/analytics-platforms), organizations use these tools to build interactive dashboards for discovering actionable insights.

For example, a customer service business leader might use this type of software to analyze thousands of customer emails to discover trends, such as sentiment and the choice of words they used. This analysis can inform how customer service agents respond to customers to achieve desired outcomes.

**Traditional text analysis tools**

As opposed to self-service options, some text analysis solutions are geared towards data professionals, such as data analysts and data scientists. They can use this software to train and deploy algorithms, as it assists them in tagging their data. Data scientists can use these tools to ingest text data, such as social media, call center transcriptions, news sources, and reviews, and to build and improve applications, achieving goals such as improving fraud detection and conducting sentiment analysis.

### What are the Common Features of Text Analysis Software?

Many capabilities of text analysis software can help users pull business-critical insights from text data.

**Language identification:** Text analytics solutions provide users with the ability to understand which language the text was written in. This can be beneficial when determining where a social media post came from or when a business has offices in multiple countries.

**Part of speech tagging:** Once the language is identified, text analysis software can tag each word with a part of speech, signifying if the word is a noun, verb, adjective, and so on.

**Syntax parsing:** Syntax parsing is very similar to part of speech tagging, but instead of understanding each word, it helps break down how a sentence was constructed and why.

**Entity recognition:** Text analytics solutions can help determine not just parts of speech but actual entities. For example, the part of speech may be a noun, but text analytics will break down whether that noun is a person or a place.

**Keyphrase extraction:** Another major feature of text mining and text analytics is keyphrase extraction, which allows users to determine patterns and themes within the text. These tools can pull out those common themes for the user.

**Sentiment analysis:** All of the above features can be relevant for sentiment analysis. Text analysis tools can offer up sentiment analysis scores, determining if the text is positive, negative, happy, sad, or neutral, among many other classifications. With the sentiment determined, businesses can decide how they want to act or interact with this data. For example, if a software company sees that all of their negative reviews are mentioning one particular feature, it might be a good idea to examine the state or viability of that feature.

### What are the Benefits of Text Analysis Software?

The reason to use text analysis software is rather straightforward—users need to analyze text—but there are many reasons behind why a business may want to perform text mining and analysis. It all boils down to better understanding and utilizing company data to impact business processes and the bottom line. It should be used to increase efficiency and productivity and to optimize processes that could be working better.

**Sentiment understanding:** Businesses are always trying to gauge customer satisfaction, and text analytics is an easy way to do so. Many different text data sources can provide customer sentiments, such as social media, emails from customers, phone transcripts, customer reviews, and others. If a company can understand their shortcomings or where they are excelling with customers, they can better support and manage those customers. Ultimately this can lead to increased revenue.

**Employee satisfaction:** Similarly to better understanding customers, businesses can improve employee engagement and satisfaction by using text analysis. While businesses shouldn’t necessarily spy on their employees, they can figure out employee sentiment and satisfaction based on surveys, emails, or phone transcripts. This can help businesses ensure that they are promoting the right company culture and providing a healthy and happy place to work.

**Survey analysis:** Text analysis is very often used when companies are running surveys. These surveys may be intended for customers or employees but can also relate to market research. Being able to quickly pull insights verbatim from survey responses can provide a unique perspective and insight that businesses may not be able to obtain through multiple-choice questions.

**Document classification:** An easy use case for text analysis software is document classification. Businesses often need to organize existing documents; by pulling out sentiment and themes, it can be much easier to bucket documents, such as invoices and contracts.

### Who Uses Text Analysis Software?

The typical user of text analytics is the same person who is tasked with using analytics and business intelligence solutions—a data analyst or data scientist. These users are trained in developing analytical and machine learning models used to pull out actionable insights from data. Data scientists are also tasked with deriving a business narrative from data, and text data is no different. If the text analytics product is of the self-service variety, less technical business users, such as operations, customer service, and finance teams can benefit from the technology to dig into their text data and derive insights. 

**Data analysts:** Depending on the complexity of the software, analysts may be required. They can help set up the requisite tagging of the text data and dashboards for other employees and teams. They can create complex queries inside the platforms to gather a deeper understanding of business-critical data. 

**Operations and supply chain teams:** A company’s supply chain frequently has many touchpoints, and as a result, many data points. Everything from invoices to shipping information can be analyzed with this software. Therefore, employees working in operations and supply chain teams can use text analysis software to gain a better understanding of their departments and the text data that is generated, such as from [ERP systems](https://www.g2.com/categories/erp). These applications track everything from accounting to supply chain and distribution. By inputting supply chain data into this software, supply chain managers can optimize several processes to save time and resources.

**Finance teams:** Finance teams leverage text analysis software to gain insight and understanding into the factors that impact an organization's bottom line. Through integrations with financial systems such as [accounting software](https://www.g2.com/categories/accounting), employees such as chief financial officers (CFOs) can see how well the business is performing. For example, they can analyze free-text data in expense reports to discover trends in the data. With this knowledge, they can determine the biggest spenders and spending categories and put a plan in place to curb spending, if desired.

**Sales and marketing teams:** Sales teams also seek to improve financial metrics and can benefit tremendously from being more data driven. They can obtain insights into prospective accounts, sales performance, and pipeline forecasting, among many other use cases. Using analytics tools in a sales team can help businesses optimize their sales processes and influence revenue. Through the analysis of survey data, business leaders can find out the most effective way to sell products.

For marketing teams, tracking the performance of campaigns is key. Since they run different types of campaigns, including email marketing, digital advertising, or even traditional advertising campaigns, these tools allow marketing teams to track the performance of those campaigns in one central location. Marketers can learn about how their audience is responding to their messages using sentiment analysis. In addition, they can evaluate their ad copy by tagging and classifying it to better understand what drives conversions.

**Consultants:** Businesses do not always have the luxury to build, develop, and optimize their analytics solutions. Some businesses opt to employ external consultants, such as [business intelligence (BI) consulting providers](https://www.g2.com/categories/business-intelligence-bi-consulting). These providers seek to understand a business and its goals, interpret data, and offer advice to ensure goals are met. BI consultants frequently have industry-specific knowledge alongside their technical backgrounds, with experience in healthcare, business, and other fields. 

**Customer service teams:** Customer service teams are faced with a challenge. They are frequently inundated with a flurry of customer concerns, whether that be via text, voice, or mail. Although agents can respond to each comment and concern individually, it is beneficial to have a proper understanding of trends, including the sentiment of messages, the types of complaints, and more. Using text analysis software, businesses can equip their agents with tools to help them respond to messages in a targeted manner, depending on factors such as sentiment and key phrases.

### What are the Alternatives to Text Analysis Software?

Alternatives to text analysis software can replace this type of software, either partially or completely:

[Feedback analytics software](https://www.g2.com/categories/feedback-analytics) **:** Text analysis software is an all-purpose solution built to analyze any text data. Businesses looking to focus on feedback text, such as from surveys, review sites, social media, and customer service tools, can leverage feedback analytics software to achieve this goal. This software enables businesses to consolidate and analyze their customer feedback within a single platform.

#### Software Related to Text Analysis Software

Related solutions that can be used together with text analysis software include:

[Data warehouse software](https://www.g2.com/categories/data-warehouse) **:** Most companies have a large number of disparate data sources, so to best integrate all their data, they implement a data warehouse. Data warehouses can house data from multiple databases and business applications, which allows BI and analytics tools to pull all company data from a single repository. This organization is critical to the quality of the data that is ingested by analytics software.

[Data preparation software](https://www.g2.com/categories/data-preparation) **:** A key software necessary for easy data analysis is a data preparation tool and other related data management tools. These solutions allow users to discover, combine, clean and enrich data for simple analysis. Data preparation tools are often used by IT teams or data analysts tasked with using text analysis tools. Some text analysis platforms offer data preparation features, but businesses with a wide range of data sources often opt for a dedicated preparation tool.

[Analytics platforms](https://www.g2.com/categories/analytics-platforms) **:** Analytics platforms might include some limited text analysis features, but are broader-focused tools that facilitate the following five elements: data preparation, data modeling, data blending, data visualization, and insights delivery.

[Stream analytics software](https://www.g2.com/categories/stream-analytics) **:** When one is looking for tools specifically geared toward analyzing data in real time, stream analytics software is a go-to solution. These tools help users analyze data in transfer through APIs, between applications, and more. This software can be helpful with the internet of things (IoT) data, which people usually want to analyze in real time.

[Predictive analytics software](https://www.g2.com/categories/predictive-analytics): Broad-purpose text analysis software allows businesses to conduct various forms of analysis, such as prescriptive, descriptive, and predictive. Businesses that are focused on looking at their past and present data to predict future outcomes can use predictive analytics software for a more fine-tuned solution. 

### Challenges with Text Analysis Software

Software solutions can come with their own set of challenges. 

**Need for skilled employees:** The main issue with text analysis software is that, despite the tool pulling information surrounding text data, it still requires a human to go that extra mile and determine what the data means. Without context, sentiment analysis, phrase tagging, and pulling themes or patterns from a text can only inform a user so much. An analyst will need to interpret that data and decipher the business implications of it. 

This is much more easily tackled with text analysis software because of the ability to visualize the data in an organized manner, but it still requires interpretation nonetheless. Some text analytics tools may offer a certain level of predictive analytics and provide users with suggestions or recommendations based on the data, but more often than not, human intervention is necessary.

**Data preparation:** Another potential concern is preparing the data to be ingested by the text analysis tool. The data needs to be stored properly, whether that is in a database or data warehouse and may require IT or a dedicated admin to ensure the text analytics tool can consume the data. The beauty of text analysis software is that it doesn’t always require the neatness of structured data. Unstructured data does not need to follow a columnar approach that structured data often requires.

**User adoption:** It is not always easy to transform a business into a data-driven company. Particularly at more established companies that have done things the same way for years, it is not simple to force analytics tools upon employees, especially if there are ways for them to avoid it. If there are other options, such as spreadsheets or existing tools that employees can use instead of analytics software, they will most likely go that route. However, if managers and leaders ensure that analytics tools are a necessity in an employee’s day to day, then adoption rates will increase.

### Which Companies Should Buy Text Analysis Software?

As it has often been said, data is the fuel that drives modern businesses. Although it is cliche, it no doubt has truth to it. Therefore, businesses across the globe and industries should consider some sort of analytics solution, such as text analysis to make sense of that data and begin to make data-driven decisions. Here are some illustrative examples of how textual analysis can be used in several industries:

**Financial services:** Within financial institutions, such as insurance brokerages, banks, and credit unions, it is common for a host of different systems to be used. These companies have data ranging from customer records, to transactions, to market data, and more. With the proliferation of systems comes more data. With a robust analytics solution in place, they can get a better understanding of the data that is being produced from the various systems across the business. As an industry that is heavily regulated, users can benefit from governed access capabilities which can be particularly beneficial, since it can assist in auditing company processes.

**Healthcare:** Within the space of healthcare, bad data practices might have dire or even deadly consequences. Text analysis software can help these organizations with having an overarching view of their data, such as patient records, insurance claims, finances, and more. Through the implementation of analytics, healthcare companies can lower risk and costs, and make their billing and collections smarter.

**Retail** : Retail organizations, whether they’re B2C, B2B, D2C, or others, rely on data to make informed decisions. For example, a seller of printers, to run a successful business, must keep track of many things such as their inventory, sales, their sales team, and returns. If all of this data is kept siloed within different systems, there is no single source of truth and departments cannot have a conversation around the actual state of the business’ data. With Text analysis software set up and connected to all of the relevant data sources, any retail business can see benefits and make meaningful data-driven decisions.

### How to Buy Text Analysis Software

#### Requirements Gathering (RFI/RFP) for Text Analysis Software

If a company is just starting out on its analytics journey, G2.com can help in selecting the best software for the particular company and use case. Since the particular solution might vary based on company size and industry, G2.com is a great place to sort and filter reviews based on these criteria, along with many more. The variety, volume, and velocity of data are vast. Therefore, users should think about how the particular solution fits their particular needs and their future needs as they accumulate more data. 

To find the right solution, buyers should determine pain points and jot them down. These should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees who will need to use this software, as this drives the number of licenses they are likely to buy. Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features including budget features, number of users, integrations, security requirements, cloud or on-premises solutions, and more.

Depending on the scope of the deployment, it might be helpful to produce a request for information (RFI), a one-page list with a few bullet points describing what is needed from a text analysis software.

#### Compare Text Analysis Software Products

**Create a long list**

From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor.

**Create a short list**

From the long list of vendors, it is helpful to narrow down the list and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions.

**Conduct demos**

To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and data sets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition. 

#### Selection of Text Analysis Software

**Choose a selection team**

As text analysis software is all about the data, the user must make sure that the selection process is data driven as well. The selection team should compare notes, facts, and figures which they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities.

**Negotiation**

Just because something is written on a company’s pricing page, does not mean it is not negotiable (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others.

**Final decision**

After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board.

### What Does Text Analysis Software Cost?

Businesses decide to deploy text analysis software to derive some degree of a return on investment (ROI).

#### Return on Investment (ROI)

As businesses look to recoup the funds they spent on the software, it is critical to understand the costs associated with it. As mentioned above, this software is typically billed per user, which is sometimes tiered depending on the company size. More users will typically translate into more licenses, which means more money.

Users must consider how much is spent and compare that to what is gained, both in terms of efficiency as well as revenue. Therefore, businesses can compare processes between pre and post-deployment of the software to better understand how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate their gains from their use of the text analysis software.

### Implementation of Text Analysis Software

**How is Text Analysis Software Implemented?**

Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether it’s an implementation specialist from the vendor or a third-party consultancy. With vast experience, they can help businesses understand how to connect and consolidate their data sources and how to use the software efficiently and effectively.

**Who is Responsible for Text Analysis Software Implementation?**

It may require a lot of people, or even teams, to properly deploy an analytics platform. This is because data can cut across teams and functions. As a result, one person or even one team rarely has a full understanding of all of a company’s data assets. With a cross-functional team in place, a business can piece together its data and begin the journey of analytics, starting with proper data preparation and management.

### Text Analysis Software Trends

**Data literacy**

Business data is no longer locked up in silos. With text analysis solutions, more users across a business can find, access, and analyze this data. In addition, [artificial intelligence (AI) software](https://www.g2.com/categories/artificial-intelligence) such as [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) help make searching through and for data easier and more powerful, providing more accurate results. Implementing analytics software has been a major initiative for companies undergoing digital transformation as these tools offer deeper visibility into an organization's data. Companies adopt these solutions to make sense of large data sets collected from all their various sources.

**Shift to the cloud**

The move from on-premises data analytics to the cloud has been underway for several years, with more and more businesses moving their data and data insights into the cloud. This is taking place for various reasons like time to insights. The move away from on-premises infrastructure has helped many companies enable data to work anywhere one has access to the cloud—anywhere with internet access. 

**Deep learning**

The main trend related to text analysis software is deep learning, but more specifically, natural language processing. As AI technology continues to advance, deep learning and NLP become more precise and effective when performing actions such as text analysis. This means that users need to do less digging through text, and instead, the insights are given to them. This is extremely beneficial, because, despite the comprehensive features that text analysis software provides, analysts are still required to dig through the data and determine the insights themselves. The next step, which NLP is contributing to, is to have the software provide actionable insights without the need to dig through the text data.