Best Data Visualization Tools

How Many Data Visualization Tools Products Does G2 Track?

Total Products under this Category: 478

Category Stats (Aug 2026)

  • Average Rating: 4.43/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Supersimple (+0.89%) - Among all products in this category, Supersimple recorded the largest rating increase compared to last month

Last updated: August 04, 2026

How Does G2 Rank Data Visualization Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 26,100+ Authentic Reviews
  • 478+ 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 Data Visualization Tools

G2 Grid® for Data Visualization Tools plotting products by satisfaction and market presence

Highlighted products: Canva, Databricks, Domo, Looker, Data Studio, Elastic Stack, SAP HANA Cloud, and AgencyAnalytics.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-visualization-tools/grids.json?focus%5B%5D=canva&focus%5B%5D=databricks&focus%5B%5D=domo&focus%5B%5D=looker&focus%5B%5D=data-studio&focus%5B%5D=elastic-stack&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=agencyanalytics)

Sponsored

Aptean Routing & Scheduling Paragon Edition

Aptean Routing & Scheduling Paragon Edition, powered by Microsoft Azure, is a robust routing and scheduling solution designed to help businesses optimize transportation operations, reduce costs, and enhance delivery efficiency. Trusted by leading organizations such as DHL, Warburtons, Greggs, and the NHS, Paragon helps businesses stay ahead in competitive, logistics-intensive industries. Paragon simplifies the entire delivery process, whether you're managing a private or dedicated fleet. It's a perfect solution for industries like third-party logistics (3PL), food and beverage, grocery retail, and healthcare logistics. Some of the key features at a glance: -Route optimization & scheduling: Leverage advanced algorithms to plan efficient, compliant routes and minimize transportation costs. -Home delivery notifications: Keep customers informed with regular updates on delivery status to enhance satisfaction. -Real-time dashboards: Offer visibility into transportation operations for internal and external stakeholders, ensuring transparency across the organization. -Planned vs. actual analytics: Analyze route performance to identify inefficiencies and support data-driven strategic planning. -Regulatory compliance: Get peace of mind knowing you're automatically compliant with industry regulations and changing legislation, including Hours of Service (HoS) requirements. What makes Paragon stand out? Paragon is expertly tailored for logistics-intensive industries, such as food distribution, retail, healthcare, and 3PL, where reliable last-mile delivery and compliance are critical. You get the full benefits of a cloud-based solution, such as: -System accessibility anytime, from anywhere -Scalable infrastructure with extremely reliable uptime -Effortless software maintenance via automated upgrades and updates -Built-in disaster recovery powered by the cloud -Enhanced security with real-time automated updates Want to see Paragon in action? Contact us today for a free consultation or a no-obligation demo.

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Canva

Canva is a visual communication platform that gives everyone a creative voice, no matter your design experience, team size, or budget. Whether you're a student making your first presentation, a marketer producing social graphics in minutes, or a global team creating on-brand content without touching a designer's inbox, Canva is where ideas become something you can actually show. Start with one of over a million professionally designed templates, or build from scratch with an AI-powered drag-and-drop editor. A library of stock images, videos, soundtracks, and fonts means you are easily equipped to create visual content at scale. Looking to work in Canva across your team? Real-time collaboration lets multiple people design simultaneously. Brand kits keep assets, colors, and fonts consistent across a one-person business or a Fortune 500 company. Canva AI helps you generate, resize, write, and edit visuals in a fraction of the time. Canva is used by more than 265 million people across 190 countries and trusted by 95% of Fortune 500 companies. Canva is available on the web, iOS and Android.

Average Rating: 4.7/5.0

Total Reviews: 6,476

How Do G2 Users Rate Canva?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.0/10)
  • Dashboards: 9.1/10 (Category avg: 9.0/10)
  • Steps to Answer: 8.7/10 (Category avg: 8.6/10)
  • Formats: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Canva?

  • Seller: Canva
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Sydney
  • Twitter: @canva
    339,250 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    16,408 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Owner, Marketing Manager
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 66% Small, 23% Medium

What Do G2 Reviewers Say About Canva?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use of Canva, making design simple and quick with intuitive features and templates.
  • Users love the extensive templates offered by Canva, making design quick, easy, and accessible for everyone.
  • Users appreciate the extensive design options in Canva, making it easy to create polished designs quickly and intuitively.
  • Users love Canva for its easy creation process, enabling quick and intuitive design with a wide range of templates.
  • Users value the extensive template availability in Canva, which simplifies the design process for everyone.
Cons
  • Users find Canva has limited features, especially on the free plan, making it costly for beginners to access more tools.
  • Users find limited options in Canva frustrating, especially for vector editing and bulk creation of designs.
  • Users express their frustration with missing features in Canva, such as vector editing and offline functionality, impacting design efficiency.
  • Users feel that the premium plan is too expensive, particularly for beginners needing essential features.
  • Users find limited customization options in Canva, wishing for more flexibility and manual editing tools for designs.

What Are Recent G2 Reviews of Canva?

What Are G2 Users Discussing About Canva?

Databricks

A Databricks é a empresa de Dados e IA. Mais de 20.000 organizações em todo o mundo — incluindo adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever e 70% das empresas da Fortune 500 — confiam na Plataforma de Dados + IA da Databricks para construir e escalar aplicativos de dados e IA, análises e agentes. Com sede em São Francisco e mais de 30 escritórios ao redor do mundo, a Databricks oferece uma plataforma unificada que inclui Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse e Unity Catalog. Fundada em 2013 pelos criadores originais do Apache Spark™, Delta Lake, MLflow e Unity Catalog, a Databricks é construída sobre uma arquitetura de lakehouse aberta que reúne dados, análises e IA. A plataforma é utilizada por engenheiros de dados, cientistas de dados, analistas, desenvolvedores, equipes de aprendizado de máquina, equipes de IA e usuários de negócios para colaborar em todo o ciclo de vida de dados e IA. As principais capacidades da Databricks incluem: - Engenharia de dados: Construa, automatize e gerencie pipelines de dados em lote, streaming e em tempo real de forma confiável. - Análise e inteligência de negócios: Execute análises SQL, crie painéis e permita que as equipes de negócios explorem dados. - Governança de dados: Descubra, proteja e gerencie dados e ativos de IA entre equipes, nuvens e cargas de trabalho. - Aprendizado de máquina e IA: Desenvolva modelos, construa aplicativos de IA generativa e crie agentes de IA em nível de produção. - Aplicações de dados: Construa e implante aplicativos orientados por dados usando dados empresariais governados. Disponível em AWS, Azure e Google Cloud, a Databricks ajuda as organizações a trabalhar entre nuvens, reduzir silos de dados e simplificar a colaboração entre equipes e ferramentas. Os clientes usam a Databricks para casos de uso como personalização de clientes, detecção de fraudes, manutenção preditiva, análises em tempo real, cibersegurança, pesquisa em saúde, gestão de risco financeiro, otimização da cadeia de suprimentos e tomada de decisões impulsionada por IA. A Databricks é utilizada em setores como serviços financeiros, saúde e ciências da vida, varejo, manufatura, energia e setor público. As organizações usam a plataforma para modernizar a infraestrutura de dados, acelerar a adoção de IA e transformar dados empresariais em valor de negócios.

Average Rating: 4.6/5.0

Total Reviews: 1,335

How Do G2 Users Rate Databricks?

  • the product tem sido um bom parceiro comercial?: 8.9/10 (Category avg: 9.0/10)

Who Is the Company Behind Databricks?

  • Vendedor: Databricks Inc.
  • Website da Empresa:
  • Ano de Fundação: 2013
  • Localização da Sede: San Francisco, CA
  • Twitter: @databricks
    92,269 seguidores no Twitter
  • Página do LinkedIn®: www.linkedin.com
    15,627 funcionários no LinkedIn®

Who Uses This Product?

  • Who Uses This: Engenheiro de Dados, Analista de Dados
  • Top Industries: Tecnologia da Informação e Serviços, Serviços Financeiros
  • Company Size: 47% Large, 38% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Os usuários elogiam a facilidade de uso e os recursos abrangentes do Databricks para armazenamento de dados e aplicações de ML.
  • Os usuários elogiam a facilidade de uso do Databricks, melhorando sua experiência com interfaces intuitivas e serviços confiáveis.
  • Os usuários apreciam as integrações perfeitas do Databricks com a AWS e outras ferramentas, melhorando as operações diárias e a eficiência.
  • Os usuários valorizam a colaboração perfeita oferecida pelo Databricks, aprimorando o trabalho em equipe em projetos de dados com insights em tempo real.
  • Os usuários elogiam os recursos analíticos integrados do Databricks, que melhoram o processamento colaborativo de dados e a visualização de insights.
Cons
  • Os usuários observam uma curva de aprendizado acentuada inicialmente, com permissões confusas e modos de computação afetando a usabilidade.
  • Os usuários observam que os custos podem ser bastante altos para utilizar o Databricks de forma eficaz, especialmente para grandes projetos de dados.
  • Os usuários encontram uma curva de aprendizado íngreme com o Databricks, especialmente desafiadora para os novatos em ferramentas de big data.
  • Os usuários acham a complexidade do Databricks desafiadora, especialmente para equipes menores e processos de configuração inicial.
  • Os usuários enfrentam desafios de configuração complexa inicialmente, embora o suporte ajude a simplificar a experiência ao longo do tempo.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

Domo

Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions.

Average Rating: 4.3/5.0

Total Reviews: 1,055

How Do G2 Users Rate Domo?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.0/10)
  • Dashboards: 8.3/10 (Category avg: 9.0/10)
  • Steps to Answer: 8.1/10 (Category avg: 8.6/10)
  • Formats: 8.6/10 (Category avg: 8.6/10)

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • Twitter: @Domotalk
    63,513 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users value Domo's ease of use, making it accessible for all, even those who aren't tech-savvy.
  • Users value the flexible dashboards in Domo, allowing seamless data visualization from various sources.
  • Users find Domo's intuitive design enhances data handling and decision-making, making it accessible for all skill levels.
  • Users praise Domo for its easy integrations, enabling seamless data connections and enhancing data management efficiency.
  • Users value the seamless integration capabilities of Domo, enhancing data management across various platforms and sources.
Cons
  • Users find the learning curve challenging with Domo, often requiring dedicated resources to manage updates and functionalities.
  • Users struggle with missing features in Domo, including outdated systems and limited capabilities in visualizations and connectors.
  • Users are frustrated by data management issues, including upload adjustments and poor organization of datasets in Domo.
  • Users find Domo to be expensive due to high costs associated with features and external consulting needs.
  • Users find Domo's complexity overwhelming, requiring technical expertise and extensive setup that complicate the user experience.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

Looker

Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation.

Average Rating: 4.4/5.0

Total Reviews: 1,592

How Do G2 Users Rate Looker?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.0/10)
  • Dashboards: 8.7/10 (Category avg: 9.0/10)
  • Steps to Answer: 8.1/10 (Category avg: 8.6/10)
  • Formats: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Looker?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    341,888 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 60% Medium, 20% Large

What Do G2 Reviewers Say About Looker?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in Looker, enabling anyone to create reports without technical expertise.
  • Users value Looker's dynamics of real-time reporting and seamless integration, enhancing decision-making and data visualization.
  • Users appreciate the easy integrations of Looker, allowing seamless connectivity with multiple data sources for insightful analytics.
  • Users value the seamless integrations within Looker, enhancing functionality and providing quality insights across platforms.
  • Users appreciate Looker's dynamic and live reporting, which enhances real-time analytics and decision-making across multiple platforms.
Cons
  • Users find the steep learning curve of Looker challenging, particularly for those without technical expertise.
  • Users find Looker's interface challenging due to its steep learning curve and the complexity of LookML for beginners.
  • Users experience slow loading times with Looker, particularly when dealing with large datasets, complicating dashboard creation.
  • Users often experience slow performance with Looker, especially when dealing with complex data transformations and dashboard loading times.
  • Users find Looker’s complexity challenging, with a steep learning curve and integration issues hindering efficiency.

What Are Recent G2 Reviews of Looker?

What Are G2 Users Discussing About Looker?

Data Studio

Data Studio offers self-service business intelligence with unmatched flexibility for smarter business decisions. Featuring connections to more than 1,000+ data sources, you can create highly visual, intuitive reports and share them with your team with consistent metrics. Data Studio helps you tell impactful stories by creating and sharing engaging reports and data visualization, showcasing your business metrics and dimensions with intuitive smart reports, with automatic sharing for informed collaboation. Create meaningful, shareable, customizable, charts and graphs with just a few clicks, and now, with Gemini in Looker, automatically generate reports, visualizations and slides and save countless hours."

Average Rating: 4.4/5.0

Total Reviews: 456

How Do G2 Users Rate Data Studio?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.0/10)
  • Dashboards: 9.1/10 (Category avg: 9.0/10)
  • Steps to Answer: 8.1/10 (Category avg: 8.6/10)
  • Formats: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Data Studio?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    341,888 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Who Uses This: Digital Marketing Specialist, Digital Marketing Manager
  • Top Industries: Marketing and Advertising, Computer Software
  • Company Size: 46% Small, 37% Medium

What Do G2 Reviewers Say About Data Studio?

AI-generated summary from verified user reviews

Pros
  • Users find Looker Studio's ease of use remarkable, enabling effortless dashboard creation and data visualization.
  • Users appreciate the flexibility in data visualization with Looker Studio, enabling insightful and interactive reporting effortlessly.
  • Users appreciate the easy integrations in Looker Studio, allowing seamless connections to various data sources for efficient reporting.
  • Users love the collaborative sharing features of Looker Studio, enabling seamless teamwork and real-time data access.
  • Users love how Data Studio simplifies complex data visualization with interactive, customizable dashboards and effortless integration.
Cons
  • Users find limited customization in Looker Studio, impacting the flexibility and effectiveness of their data visualizations.
  • Users often find slow performance in Looker Studio, especially with heavy data sources or numerous charts.
  • Users find slow loading times in Looker Studio frustrating, especially with large datasets and multiple charts.
  • Users experience frequent connectivity issues with Looker Studio, often requiring multiple attempts to establish data connections.
  • Users find the limited design options in Data Studio frustrating, affecting customization and overall user experience.

What Are Recent G2 Reviews of Data Studio?

What Are G2 Users Discussing About Data Studio?

Elastic Stack

O Elastic Stack, comumente conhecido como ELK Stack, é um conjunto abrangente de ferramentas de código aberto projetado para ingestão, armazenamento, análise e visualização de dados em tempo real. Ele é composto por Elasticsearch, Kibana, Beats e Logstash, permitindo que os usuários lidem com dados de qualquer fonte e em qualquer formato de maneira eficiente. Características e Funcionalidades Principais: - Elasticsearch: Um mecanismo de busca e análise distribuído, baseado em JSON, que permite o armazenamento, busca e análise rápidos de grandes volumes de dados. - Kibana: Uma interface de usuário extensível que fornece visualizações poderosas, dashboards e ferramentas de gerenciamento para interpretar e apresentar dados de forma eficaz. - Beats e Logstash: Ferramentas de ingestão de dados que coletam e processam dados de várias fontes, transformando-os e encaminhando-os para o Elasticsearch para indexação. - Integrações: Uma infinidade de integrações pré-construídas que facilitam a coleta de dados e a conexão perfeita com o Elastic Stack, permitindo insights rápidos. Valor Principal e Soluções para Usuários: O Elastic Stack capacita as organizações a aproveitar todo o potencial de seus dados, fornecendo uma plataforma escalável e resiliente para busca e análise em tempo real. Ele aborda desafios como o gerenciamento de grandes conjuntos de dados, garantindo alta disponibilidade e entregando resultados de busca relevantes rapidamente. Ao oferecer uma solução unificada para ingestão, armazenamento, análise e visualização de dados, o Elastic Stack permite que os usuários obtenham insights acionáveis, melhorem a eficiência operacional e tomem decisões informadas com base em seus dados.

Average Rating: 4.5/5.0

Total Reviews: 106

How Do G2 Users Rate Elastic Stack?

  • the product tem sido um bom parceiro comercial?: 8.3/10 (Category avg: 9.0/10)
  • Painéis: 9.0/10 (Category avg: 9.0/10)
  • Passos para responder: 8.3/10 (Category avg: 8.6/10)
  • Formatos: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Elastic Stack?

  • Vendedor: Elastic
  • Ano de Fundação: 2012
  • Localização da Sede: San Francisco, CA
  • Twitter: @elastic
    65,200 seguidores no Twitter
  • Página do LinkedIn®: www.linkedin.com
    5,079 funcionários no LinkedIn®
  • Propriedade: NYSE: ESTC

Who Uses This Product?

  • Who Uses This: Engenheiro de Software, Engenheiro de Software Sênior
  • Top Industries: Software de Computador, Tecnologia da Informação e Serviços
  • Company Size: 47% Medium, 34% Large

What Do G2 Reviewers Say About Elastic Stack?

AI-generated summary from verified user reviews

Pros
  • Os usuários valorizam a facilidade de uso do Elastic Stack, que simplifica a análise de logs e métricas com uma interface unificada.
  • Os usuários valorizam a flexibilidade do Elastic Stack, permitindo integração e personalização sem problemas para diversas necessidades de análise.
  • Os usuários valorizam o gerenciamento unificado de logs do Elastic Stack, melhorando a correlação de problemas e a compreensão do sistema de forma contínua.
  • Os usuários valorizam a eficiência de busca do Elastic Stack, permitindo uma rápida correlação de problemas e insights abrangentes do sistema.
  • Os usuários valorizam a versatilidade do Elastic Stack, apreciando sua integração perfeita e flexibilidade em vários modelos de implantação.
Cons
  • Os usuários acham a gestão de recursos desafiadora no Elastic Stack devido às altas demandas e curvas de aprendizado íngremes.
  • Os usuários relatam problemas de complexidade com o Elastic Stack, citando desafios na gestão, ajuste de desempenho e curvas de aprendizado íngremes.
  • Os usuários acham o Elastic Stack caro em escala devido aos altos requisitos de recursos e custos adicionais de licenciamento.
  • Os usuários descobrem que o alto uso de memória do Elastic Stack pode levar a custos e complexidade aumentados em escala.
  • Os usuários acham a curva de aprendizado íngreme para o Elastic Stack, necessitando de expertise para o gerenciamento e desempenho ótimos do cluster.

What Are Recent G2 Reviews of Elastic Stack?

What Are G2 Users Discussing About Elastic Stack?

SAP HANA Cloud

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps.

Average Rating: 4.3/5.0

Total Reviews: 521

How Do G2 Users Rate SAP HANA Cloud?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.0/10)
  • Dashboards: 8.9/10 (Category avg: 9.0/10)
  • Steps to Answer: 8.0/10 (Category avg: 8.6/10)
  • Formats: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind SAP HANA Cloud?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    141,955 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Who Uses This: Consultant, SAP Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 61% Large, 26% Medium

What Do G2 Reviewers Say About SAP HANA Cloud?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use with SAP HANA Cloud, enjoying seamless integration and smooth real-time analytics.
  • Users appreciate the easy integrations of SAP HANA Cloud, enhancing their workflow and data management seamlessly.
  • Users value the smooth integration capabilities of SAP HANA Cloud, enhancing efficiency and simplifying data management.
  • Users value the speed and responsiveness of SAP HANA Cloud, making data handling efficient and streamlined.
  • Users value the flexible and elastic scalability of SAP HANA Cloud, enhancing performance for data-intensive applications.
Cons
  • Users find the complexity of the setup challenging, particularly for new users and integrations with other systems.
  • Users find SAP HANA Cloud to be expensive, particularly for large data demands and advanced configurations requiring expertise.
  • Users find the learning curve challenging, especially for teams new to HANA's concepts and SQL extensions.
  • Users find the difficult learning curve of SAP HANA Cloud challenging, especially for new users and feature navigation.
  • Users find the complex setup of SAP HANA Cloud challenging, particularly for newcomers and during initial provisioning.

What Are Recent G2 Reviews of SAP HANA Cloud?

AgencyAnalytics

AgencyAnalytics é a única plataforma de relatórios e insights construída para agências de marketing. Prove seu valor para os clientes, recupere as horas que você perde com relatórios manuais e mantenha mais dos clientes que você trabalhou arduamente para conquistar. Conecte os canais de marketing de cada cliente em painéis ao vivo e personalizáveis e faça relatórios sobre SEO, PPC, mídias sociais, e-mail, rastreamento de chamadas, comércio eletrônico, local e muito mais, com mais de 85 integrações em um só lugar. Automatize a criação e o agendamento de relatórios para que atualizações precisas e bem elaboradas sejam enviadas no prazo, sem o trabalho manual. Avalie o desempenho, identifique tendências cedo e use insights impulsionados por IA para entrar em chamadas com clientes já sabendo o que está funcionando e o que precisa ser corrigido. Tudo é totalmente personalizável com a marca da sua agência, para que os clientes tenham seu próprio login personalizado no aplicativo web ou móvel. Seja você uma agência estabelecida ou esteja apenas começando, a AgencyAnalytics oferece preços flexíveis que escalam à medida que você cresce. Experimente sem riscos por 14 dias, sem necessidade de cartão de crédito.

Average Rating: 4.7/5.0

Total Reviews: 450

How Do G2 Users Rate AgencyAnalytics?

  • the product tem sido um bom parceiro comercial?: 9.5/10 (Category avg: 9.0/10)
  • Painéis: 9.3/10 (Category avg: 9.0/10)
  • Passos para responder: 8.8/10 (Category avg: 8.6/10)
  • Formatos: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind AgencyAnalytics?

  • Vendedor: AgencyAnalytics
  • Website da Empresa:
  • Ano de Fundação: 2010
  • Localização da Sede: Toronto
  • Twitter: @agencyanalytics
    4,047 seguidores no Twitter
  • Página do LinkedIn®: www.linkedin.com
    125 funcionários no LinkedIn®

Who Uses This Product?

  • Who Uses This: Fundador, CEO
  • Top Industries: Marketing e Publicidade, Tecnologia da Informação e Serviços
  • Company Size: 88% Small, 8% Medium

What Do G2 Reviewers Say About AgencyAnalytics?

AI-generated summary from verified user reviews

Pros
  • Os usuários acham o AgencyAnalytics fácil de usar, com recursos intuitivos que simplificam o gerenciamento de projetos de SEO e a geração de relatórios.
  • Os usuários adoram como o AgencyAnalytics oferece uma solução que economiza tempo ao simplificar os processos de organização e relatório de dados.
  • Os usuários elogiam o suporte ao cliente responsivo da AgencyAnalytics, melhorando sua experiência com assistência e orientação oportunas.
  • Os usuários apreciam a configuração amigável do AgencyAnalytics, simplificando relatórios e melhorando a comunicação com os clientes com facilidade.
  • Os usuários valorizam as capacidades robustas de integração do AgencyAnalytics, aprimorando a geração de relatórios e o monitoramento de desempenho sem esforço.
Cons
  • Os usuários enfrentam problemas significativos de integração com o AgencyAnalytics, levando a atrasos e experiências frustrantes durante as reuniões com clientes.
  • Os usuários acham a plataforma limitada em personalização e recursos, afetando sua capacidade de personalizar relatórios e painéis.
  • Os usuários acham a curva de aprendizado desafiadora devido à personalização e à complexidade da estrutura do painel no AgencyAnalytics.
  • Os usuários experimentam problemas de relatório à medida que as mudanças no painel complicam a construção de relatórios e as integrações ocasionalmente falham, impactando a precisão dos dados.
  • Os usuários frequentemente enfrentam problemas de conexão com o AgencyAnalytics, causando atrasos e frustração durante as reuniões com clientes.

What Are Recent G2 Reviews of AgencyAnalytics?

What Are G2 Users Discussing About AgencyAnalytics?

SAP Analytics Cloud

With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help you make decisions without doubt.

Average Rating: 4.2/5.0

Total Reviews: 750

How Do G2 Users Rate SAP Analytics Cloud?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.0/10)
  • Dashboards: 8.8/10 (Category avg: 9.0/10)
  • Steps to Answer: 8.0/10 (Category avg: 8.6/10)
  • Formats: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind SAP Analytics Cloud?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    141,955 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Who Uses This: Senior Consultant, Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 49% Large, 28% Medium

What Do G2 Reviewers Say About SAP Analytics Cloud?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in SAP Analytics Cloud, facilitating effortless data understanding and streamlined reporting.
  • Users appreciate the wide range of data connectivity options in SAP Analytics Cloud, enhancing integration and analytics capabilities.
  • Users value the interactive dashboards of SAP Analytics Cloud, which enhance data clarity and user customization.
  • Users value the easy integrations of SAP Analytics Cloud, enjoying seamless connectivity and efficient data analysis across projects.
  • Users appreciate the wide range of data connectivity and predictive analytics in SAP Analytics Cloud for effective decision-making.
Cons
  • Users experience slow performance with SAP Analytics Cloud, particularly when working with complex datasets and large models.
  • Users face a steep learning curve with SAP Analytics Cloud, requiring training to navigate its complex features effectively.
  • Users find the steep learning curve challenging, especially without guidance for navigating SAP Analytics Cloud's features.
  • Users experience significant performance issues with SAP Analytics Cloud, particularly with large datasets and complex calculations.
  • Users experience slow performance with large datasets, making complex analyses cumbersome and time-consuming.

What Are Recent G2 Reviews of SAP Analytics Cloud?

What Are G2 Users Discussing About SAP Analytics Cloud?

Hurree

Hurree is an AI-powered platform that consolidates all your reporting data into a single, easy-to-use command centre. It connects with over 70 popular tools, giving you a single, reliable view of performance across your business. With fully customizable dashboards, Hurree makes it simple for any team to track KPIs, monitor trends, and measure success with no technical skills required. At the heart of the platform is Riva, Hurree's built-in AI assistant. Riva doesn't just show you the numbers; it explains them. From instant summaries to predictive insights and actionable recommendations, Riva helps you understand what’s happening and what to do next. Hurree is built for teams who want better visibility, clearer reporting, and data they can actually use, without the complexity.

Average Rating: 4.8/5.0

Total Reviews: 74

How Do G2 Users Rate Hurree?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.0/10)
  • Dashboards: 9.7/10 (Category avg: 9.0/10)
  • Steps to Answer: 9.1/10 (Category avg: 8.6/10)
  • Formats: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Hurree?

  • Seller: Hurree
  • Year Founded: 2018
  • HQ Location: Belfast, Antrim
  • Twitter: @Hurree_me
    896 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Marketing and Advertising
  • Company Size: 58% Small, 42% Medium

What Do G2 Reviewers Say About Hurree?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Hurree, facilitating effective setup and clear data presentation for clients.
  • Users value the intuitive interface and customizable dashboards of Hurree for effective data visualization and tracking.
  • Users praise Hurree for its intuitive data visualization that simplifies understanding and enhances team productivity.
  • Users appreciate Hurree's efficiency in showcasing lead sources and competition, enhancing client interactions and trust-building.
  • Users value Hurree for its ability to transform raw data into meaningful insights, enhancing decision-making with reliable information.
Cons
  • The initial learning curve can be overwhelming, but support helps users adapt to Hurree's features over time.
  • Some users note the limited customization options in Hurree, wishing for more flexibility in tailoring features.
  • Users find the reporting features limited, hindering deeper analysis and flexibility in integrations.
  • Users are disappointed by the lack of AI integration in Hurree, despite ongoing development efforts for future features.
  • Users find learning difficulties with data ranges and integration, impacting their overall experience with Hurree.

What Are Recent G2 Reviews of Hurree?

MongoDB Atlas

MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.

Average Rating: 4.5/5.0

Total Reviews: 849

How Do G2 Users Rate MongoDB Atlas?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.0/10)
  • Dashboards: 9.2/10 (Category avg: 9.0/10)
  • Steps to Answer: 7.9/10 (Category avg: 8.6/10)
  • Formats: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind MongoDB Atlas?

  • Seller: MongoDB
  • Year Founded: 2007
  • HQ Location: New York
  • Twitter: @MongoDB
    503,172 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    7,887 employees on LinkedIn®
  • Ownership: NASDAQ: MDB

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 45% Small, 29% Large

What Do G2 Reviewers Say About MongoDB Atlas?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the intuitive UI of MongoDB Atlas, making database management user-friendly and efficient.
  • Users appreciate the intuitive user interface of MongoDB Atlas, simplifying database management and enhancing productivity.
  • Users appreciate the intuitive UI and ease of use in MongoDB Atlas, enhancing their database management experience.
  • Users appreciate the scalability of MongoDB Atlas, enabling efficient data management and rapid performance without extra infrastructure effort.
  • Users appreciate the reliability of MongoDB Atlas, noting its consistent uptime and seamless database management experience.
Cons
  • Users criticize the expensive pricing of MongoDB Atlas, feeling forced to pay for unnecessary resources and inadequate support.
  • Users express frustration with MongoDB Atlas's unclear pricing, leading to unexpected costs and complicated billing structures.
  • Users find MongoDB Atlas expensive, facing high costs for subpar performance and frustrating support challenges.
  • Users express frustration over high memory usage, leading to performance issues and costly unexpected charges.
  • Users experience significant latency issues when deleting data, negatively impacting performance and overall satisfaction with MongoDB Atlas.

What Are Recent G2 Reviews of MongoDB Atlas?

What Are G2 Users Discussing About MongoDB Atlas?

Visme

Visme é o sistema operacional para conteúdo empresarial, a plataforma que as equipes usam para criar, gerenciar e expandir tudo o que sua empresa comunica, desde apresentações e relatórios até infográficos, documentos e gráficos sociais. Onde a maioria das IAs cria a partir de um prompt em branco, o Visme trabalha com o que sua empresa já conhece. Conecte seu Drive, OneDrive, SharePoint e apresentações existentes, e o Visme os lê, estrutura e aprende sua marca, voz e fatos-chave. Cada nova peça é automaticamente mantida nesse padrão de marca, com as fontes, cores, logotipos e tom corretos aplicados sem que ninguém precise aplicá-los manualmente. A IA do Visme está fundamentada na sua marca, seu conteúdo e seus dados, em vez de um prompt genérico, então o que ela produz soa como sua empresa em vez de uma saída genérica. A partir dessa base, o Visme pode construir Apresentações de Vendas, QBRs e Propostas alinhadas à marca a partir do seu próprio conteúdo, extrair dados ao vivo do Salesforce, Google Sheets e Excel, e atualizar um fato uma vez para que ele se reflita em cada peça construída a partir dele. O Visme é feito para as equipes que produzem conteúdo recorrente voltado para o cliente: vendas, sucesso do cliente, marketing e operações de receita. A colaboração em tempo real mantém as equipes distribuídas trabalhando em um só lugar, e o compartilhamento de Smart Link mostra como o conteúdo se desempenha após ser enviado. O resultado é um sistema único do qual toda a empresa cria, consistente, atual e baseado no que sua equipe já possui, para que as pessoas responsáveis pela marca possam manter o padrão sem revisar cada peça.

Average Rating: 4.5/5.0

Total Reviews: 500

How Do G2 Users Rate Visme?

  • the product tem sido um bom parceiro comercial?: 9.2/10 (Category avg: 9.0/10)
  • Painéis: 8.6/10 (Category avg: 9.0/10)
  • Passos para responder: 7.9/10 (Category avg: 8.6/10)
  • Formatos: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Visme?

  • Vendedor: Visme
  • Website da Empresa:
  • Ano de Fundação: 2014
  • Localização da Sede: Rockville, Maryland
  • Twitter: @VismeApp
    63,790 seguidores no Twitter
  • Página do LinkedIn®: www.linkedin.com
    86 funcionários no LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Fundador
  • Top Industries: Marketing e Publicidade, Gestão Educacional
  • Company Size: 69% Small, 24% Medium

What Do G2 Reviewers Say About Visme?

AI-generated summary from verified user reviews

Pros
  • Os usuários acham o Visme intuitivo e fácil de usar, permitindo a criação sem esforço de conteúdo visual profissional.
  • Os usuários adoram o design intuitivo e os recursos robustos do Visme, tornando a criação de conteúdo profissional fácil e eficaz.
  • Os usuários adoram os modelos bonitos e fáceis de usar no Visme, melhorando o acabamento e a interatividade de seu trabalho.
  • Os usuários elogiam o design intuitivo do Visme, tornando fácil para qualquer pessoa criar conteúdo visual de qualidade profissional.
  • Os usuários apreciam a interface intuitiva e fácil de usar do Visme, melhorando efetivamente seu fluxo de trabalho criativo.
Cons
  • Os usuários observam recursos limitados no Visme, como opções insuficientes de gráficos e capacidades de formatação para entrada de dados.
  • Os usuários observam várias funcionalidades ausentes, incluindo uploads limitados de PowerPoint e controles de animação, impactando a usabilidade.
  • Os usuários enfrentam capacidades limitadas de edição, tornando desafiador manipular texto e utilizar grandes apresentações em PowerPoint.
  • Os usuários acham que as opções limitadas no Visme restringem sua capacidade de utilizar totalmente o potencial da ferramenta.
  • Os usuários acham o Visme muito caro em comparação com alternativas como o Canva, levando à insatisfação em relação ao custo-benefício.

What Are Recent G2 Reviews of Visme?

What Are G2 Users Discussing About Visme?

Pigment

Pigment is an AI business planning and performance management platform. Built for the complexity of modern enterprises, Pigment combines dynamic modeling with autonomous AI agents and an intuitive UX, to help teams make intelligent decisions with speed and clarity. Across finance, sales, supply chain, and other business functions, teams at companies like Unilever, Snowflake, Siemens, and Anthropic use Pigment every day to anticipate change, plan ahead, and act with confidence.

Average Rating: 4.6/5.0

Total Reviews: 110

How Do G2 Users Rate Pigment?

  • Has the product been a good partner in doing business?: 9.6/10 (Category avg: 9.0/10)
  • Dashboards: 8.8/10 (Category avg: 9.0/10)
  • Steps to Answer: 8.6/10 (Category avg: 8.6/10)
  • Formats: 7.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Pigment?

  • Seller: Pigment
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Paris, FR
  • LinkedIn® Page: www.linkedin.com
    711 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: FP&A Manager
  • Top Industries: Computer Software, Financial Services
  • Company Size: 73% Medium, 20% Large

What Do G2 Reviewers Say About Pigment?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the flexibility of Pigment, enabling tailored models that adapt as business needs evolve.
  • Users appreciate the flexibility and multidimensionality of Pigment, enabling effective modeling and real-time reporting.
  • Users value the quick and efficient customer support of Pigment, which aids in resolving issues swiftly.
  • Users appreciate the ease of use of Pigment, finding its interface intuitive and support readily available.
  • Users value the seamless automation of Pigment, enabling efficient data handling and swift integration across various entities.
Cons
  • Users face challenges with data inaccuracy due to incomplete datasets and manual availability hindering reporting efficiency.
  • Users find the formulas complex, leading to challenges with calculations and API management in Pigment.
  • Users find the complex setup of Pigment to be rigid and wish for simpler API management options.
  • Users often face connectivity issues with Pigment, especially when working with large volumes of data.
  • Users find the formula limitations challenging, leading to complexity in calculations and slower forecasts.

What Are Recent G2 Reviews of Pigment?

Coefficient

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

Average Rating: 4.7/5.0

Total Reviews: 195

How Do G2 Users Rate Coefficient?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.0/10)

Who Is the Company Behind Coefficient?

  • Seller: Coefficient
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, CA
  • Twitter: @coefficient_io
    346 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    71 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 34% Small

What Do G2 Reviewers Say About Coefficient?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use with Coefficient, enjoying seamless data extraction and hassle-free connectivity.
  • Users love the automation capabilities of Coefficient, which simplify data integration and save significant time.
  • Users appreciate the seamless integrations of Coefficient, effortlessly syncing data between Salesforce, QuickBooks, and Google Sheets.
  • Users love the easy integrations of Coefficient, drastically improving workflow and enabling hassle-free data syncing.
  • Users enjoy the time-saving automation of Coefficient, regaining hours each week with effortless data management.
Cons
  • Users find the feature limitations of Coefficient frustrating, especially with filtering and data formatting issues.
  • Users face limited features with Coefficient, particularly regarding filter and import restrictions compared to Google Sheets.
  • Users are dissatisfied with the missing features in Coefficient, such as limited filter options and inadequate chart integration.
  • Users face filter limitations in Coefficient, impacting their ability to manage data efficiently across imports.
  • Users face integration issues with Coefficient, particularly lacking essential features and facing frustrating import formats.

What Are Recent G2 Reviews of Coefficient?

Infogram

Infogram is a data visualization company that helps people create infographics, reports, dashboards, maps, charts and social media assets. We show people how to communicate with data in a clear and engaging way. Launched in 2012, Infogram rapidly became the web’s favorite data visualization tool thanks to its simplicity, functionality and strong design aesthetic. We serve a wide range of customers including marketers, educators, journalists, consultants, and business professionals. We support people who see data as a powerful communication tool when visualized effectively. Infogram is used and loved by millions of people around the globe

Average Rating: 4.7/5.0

Total Reviews: 178

How Do G2 Users Rate Infogram?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.0/10)
  • Dashboards: 9.2/10 (Category avg: 9.0/10)
  • Steps to Answer: 8.4/10 (Category avg: 8.6/10)
  • Formats: 9.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Infogram?

  • Seller: Prezi
  • Year Founded: 2009
  • HQ Location: Oakland, California
  • Twitter: @prezi
    173,976 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    235 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Education Management, Marketing and Advertising
  • Company Size: 51% Small, 31% Medium

What Do G2 Reviewers Say About Infogram?

AI-generated summary from verified user reviews

Pros
  • Users find Infogram to be extremely user-friendly, allowing for quick and easy data visualization tasks.
  • Users find the AI tool in Infogram incredibly useful for generating suggested charts, enhancing data management efficiency.
  • Users commend the automation features of Infogram, significantly enhancing efficiency and simplifying data visualization tasks.
  • Users value the easy visualization features of Infogram, benefiting from its diverse and user-friendly graph options.
  • Users praise the customer satisfaction with Infogram, highlighting efficient support and smooth subscription processes.
Cons
  • Users experience occasional visualization glitches with Infogram, impacting the reliability of its graph features.
  • Users wish for more free templates in Infogram, as current options may feel limited for their needs.

What Are Recent G2 Reviews of Infogram?

What Are G2 Users Discussing About Infogram?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated June 24, 2026

Data Visualization Topics

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Learn More About Data Visualization Tools

What are Data Visualization Tools?

Data visualization tools are basic analytics platforms for business users to easily consume and interpret data, KPIs, and other critical metrics using dashboards. These dashboards can pull data from a number of sources, including databases and spreadsheets and other applications, such as CRM systems and digital analytics tools. Users can build a variety of visuals based on the data sets to easily track and measure important metrics. Such chart types include column charts, bar charts, pie charts, line graphs, tables, general tracking meters, maps for geographical data, and even just raw numbers.

Data visualization software is the most simplistic in the business intelligence category of software. They are built to display data in one central location instead of forcing employees to dig through different solutions to find important metrics. Business intelligence platforms, self-service business intelligence software, and embedded business intelligence software all contain more in-depth analytics features, such as drill-downs, and are most often used by analysts or data scientists. But for companies interested in displaying visual analytics dashboards, data visualization tools are the proper applications.

Setting up and implementing data visualization tools are relatively straightforward compared to implementing other business intelligence tools. It may require a bit of development knowledge to connect the product to a database or third-party application. However, if a non-developer is interested in building a visualization using a spreadsheet, implementation is basic.

Key Benefits of Data Visualization Tools

  • Turn complex data into easily understandable graphics
  • Track and visualize live and static metrics
  • Monitor Key Performance Indicators (KPIs)
  • Visualize and compare related metrics
  • Provide various options to communicate complex information

Why Use Data Visualization Tools?

The main reason for using data visualization is to track real-time data, metrics, goals, and KPIs. Businesses frequently set high goals, so tracking each metric as teams and companies progress is essential. By displaying data visualizations of each KPI, businesses can reinforce the importance of these goals and even help prioritize work based on which metrics need the most attention. General business metrics may include web traffic, revenue, and customer acquisition, among others. With data visualization products, it is easy to pull those business metrics from data sources such as digital analytics and CRMs, so that employees do not need to find them on their own.

Outside of this initial benefit of using data visualization software, another advantage is that data visualization tools help users easily understand critical business data. By using data visualization solutions, employees and businesses can easily interpret data. It makes the purpose of the information very evident to all users. If employees understand the business data, they can align around long-term goals and improve overall company growth.

Critical business data differs among every company and industry, so allowing for extensive customization is beneficial. There is no one-size-fits-all business dashboard; therefore, pulling data from a variety of sources is useful and necessary. When new employees start, it is helpful to understand said critical business data, and with the help of data visualization tools, that understanding is simplified.

Data visualization software also allows users to quickly and easily identify trends in business metrics. If certain metrics are not on pace to hit month-end, quarter-end, or year-end goals, companies can see that up front with data visualization tools. Businesses can adjust their strategies and methods for attaining goals based on how KPIs are tracked. Being able to react to data is an important overall strategy for greater business modernization and digital transformation.

Who Uses Data Visualization Tools?

All employees have an opportunity to utilize data visualization tools; however, there are a number of roles that can use the solutions in different ways. For example:

C-level executives – C-suite employees utilize data visualization software such as KPI dashboards to keep a holistic view of all company goals and how they are progressing. Instead of checking in with every team or digging into disparate software for each KPI, a CEO can track all company metrics in one location. If a CFO wants to observe all financial metrics, data visualization is an option instead of going through accounting and CRM products to find necessary information. Additionally, C-level executives may take dashboards into board meetings to help illustrate how the company is performing as a whole.

Sales teams – There are many use cases for sales teams when it comes to data visualization solutions, and not just to track revenue numbers or how many deals they have closed. Business development teams often connect sales acceleration tools as a data source to track how many calls each rep is making or how many meetings they are setting up. Sales managers can track individual account representatives’ performances to see how much revenue and deals each of their employees are closing, and how much they have in the pipeline. They may also set goals and determine how they are tracking on a quarterly or yearly progression. Displaying personal metrics with data visualization tools is one method to help motivate sales employees to hit their quotas.

Marketing teams – For marketers, data visualization solutions are ideal for recording real-time data regarding customer and prospect interactions. Users can pull specific digital analytics metrics, such as web traffic, and easily visualize progress. Additionally, marketers can see how email campaigns or advertising campaigns are progressing, whether that be open rates or how many impressions Facebook, Twitter, and other social advertisement campaigns are receiving. Businesses benefit by quickly visualizing conversion rates and cost-per-customer acquisition, among many other key marketing metrics.

Customer service teams – There are a variety of different instances where data visualization software is helpful for customer support teams, whether they be in a contact center or receiving customer inquiries via a help desk, among other scenarios. Representatives at call centers can visualize the number of calls they have taken that day, how many calls are waiting to be answered, and how long the average call has been, among many other business-critical data points. For support teams that use a help desk, users benefit from data visualization by tracking how many tickets they have resolved and how many are still in their queues. Customer success teams may choose to measure KPIs such as customer retention or churn rates to ensure they are maintaining the appropriate number of customers.

Human resources teams – Data is aplenty for recruiters and human resources professionals, so having a single dashboard to display the information is advantageous. Recruiting coordinators can track how many applications have been submitted for specific roles or monitor how often the career page has been viewed. Other general human resources professionals use it to display employee engagement, whether that is an overall satisfaction of work life within a company or a gamification of certain tasks. Even third-party services such as Glassdoor may be a data source for businesses interested in tracking their rating at all times.

Development teams – If a business is responsible for running multiple applications and needs to track performance in real time, data visualization tools are an excellent way to keep tabs on all of them simultaneously. This allows development teams to react quickly to potential bugs or issues and ensure that performance is trending in the correct direction. Some data sources valuable to development teams include databases, public cloud infrastructure as a service offering, and application performance monitoring software.

Data Visualization Tools Features

While data visualization software might seem fairly straightforward, there are some features that impact the user experience with these tools. The main feature, and often most critical component buyers should look for when purchasing data visualization software, is which data sources the tool can integrate with and pull from. Most solutions can pull from SaaS applications, cloud and on-premise databases, and even solutions built in-house. But, if one of the main reasons for a company purchasing a data visualization software is to track marketing campaigns, but the tool cannot integrate with the marketing automation tool the business is already using, then it defeats the purpose.

Tracking real-time data is another important feature of data visualization software. Observing progress and trends in a business’ KPIs in real time ensures that employees can react and improve on strategies and methods.

Data visualization vendors often offer mobile functionality, so users can observe and track business metrics regardless of their physical location. In today’s business world, employees are often on the go, so the ability to see dashboards from mobile phones or tablets is convenient. This is important for C-level employees who might not always be in the office.

The ability to share dashboards is another important feature of data visualization software. If a sales leader needs to send numbers to a company’s board of directors, easily emailing an entire dashboard is quick and easy. It is also beneficial to be able to share metrics internally with teams via email, if employees are unaware of how metrics are progressing.

Other features of data visualization software: Charts and Graphs, Contact Center, Education, Finance, IT & Development, and Reports.

Kinds of Data Visualization Tools

Some data visualization solutions target specific industries or teams within a company, making them more unique than general data visualization software. A marketing team may opt to use a marketing analytics solution since they only want to visualize and track progress for specific marketing metrics. There are also sales analytics tools that only track sales metrics.

Additionally, many software products have some data visualization within them. For example, a CRM or help desk tool might have data visualization features, but they differ in the sense that these are simply features, not the product's main function.