Best Predictive Analytics Tools and Software - Page 3

How Many Predictive Analytics Software Products Does G2 Track?

Total Products under this Category: 425

Category Stats (Oct 2026)

  • Average Rating: 4.44/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: IFS Copperleaf (+1.9%) - Among all products in this category, IFS Copperleaf recorded the largest rating increase compared to last month

Last updated: October 26, 2026

How Does G2 Rank Predictive Analytics Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 32,300+ Authentic Reviews
  • 425+ 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 Predictive Analytics Software

G2 Grid® for Predictive Analytics Software plotting products by satisfaction and market presence

Highlighted products: Tableau, 6sense Revenue Marketing, Salesloft, SAS Viya, IBM Cognos Analytics, Adobe Analytics, Google Cloud BigQuery, and Pure1 AIOps.

Underlying data: [Grid® JSON](https://www.g2.com/categories/predictive-analytics/grids.json?focus%5B%5D=tableau&focus%5B%5D=6sense-revenue-marketing&focus%5B%5D=salesloft&focus%5B%5D=sas-sas-viya&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=adobe-analytics&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=pure1-aiops)

Crystal Ball

Oracle Crystal Ball is the leading spreadsheet-based application for predictive modeling, forecasting, simulation, and optimization.

Average Rating: 4.3/5.0

Total Reviews: 17

How Do G2 Users Rate Crystal Ball?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • Algorithms: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Crystal Ball?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • Twitter: @Oracle
    827,997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    207,576 employees on LinkedIn®
  • Ownership: NYSE:ORCL

Who Uses This Product?

  • Company Size: 40% Large, 40% Medium

What Are Recent G2 Reviews of Crystal Ball?

Coveo

Coveo is the AI-Relevance platform behind intelligent search, recommendations, personalization, conversational experiences, and agentic AI. Coveo connects enterprise content across systems and uses AI to deliver the most relevant answers, information, and products for every user and context. Leading organizations use Coveo to improve self-service, drive revenue, boost productivity, and power trusted AI experiences across commerce, service, websites, and the workplace.

Average Rating: 4.3/5.0

Total Reviews: 141

How Do G2 Users Rate Coveo?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.3/10 (Category avg: 8.1/10)
  • Algorithms: 8.9/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.3/10 (Category avg: 8.1/10)

Who Is the Company Behind Coveo?

  • Seller: Coveo Solutions Inc
  • Company Website:
  • Year Founded: 2005
  • HQ Location: Quebec City, Canada
  • Twitter: @coveo
    4,300 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    828 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Retail, Computer Software
  • Company Size: 54% Large, 40% Medium

What Do G2 Reviewers Say About Coveo?

AI-generated summary from verified user reviews

Pros
  • Users value the search efficiency of Coveo, enjoying seamless access to diverse content across multiple sources.
  • Users appreciate the ease of use of Coveo, finding it straightforward and well-supported for complex search needs.
  • Users praise Coveo's robust search functionality, enhancing relevancy and ease of access across diverse content sources.
  • Users appreciate the extensive analytics capabilities of Coveo, enhancing insights and relevancy in search results.
  • Users appreciate the robust feature set of Coveo, enhancing content management and search relevancy across various platforms.
Cons
  • Users find the learning curve for Coveo steep, complicating the setup and customization process for newcomers.
  • Users often find the difficult learning curve in Coveo hinders effective use of its features and customization.
  • Users find the learning difficulty of Coveo challenging, particularly for first-time setup and customization efforts.
  • Users report a high learning curve with Coveo, making setup and customization challenging for newcomers.
  • Users express concerns about poor customer support, citing slow responses and a focus on billing over customer success.

What Are Recent G2 Reviews of Coveo?

What Are G2 Users Discussing About Coveo?

Analytica

Analytica® is ideal for decision-makers who need the power of statistical tools combined with digital whiteboards. This way, everyone can visualize and understand how all of the factors, decisions, constraints, risks and objectives influence one another. This results in superior scenario planning, portfolio management, risk and financial modeling - especially for complex and dynamic problems. More reasons why Analytica® is consistently the all-in-one tool of choice: - Intelligent Arrays™ to gracefully handle multiple dimensions of data - Multiple options for risk management including Monte Carlo simulations - Powerful built-in tools for system dynamics, including feedback loops - Analyzing data and recommending a built-in solver for optimization - 3rd-party optimization solvers and managing results in our visual interface - Bi-directional integrations with Excel, databases and Python libraries - Quickly find and predict model errors and unintended feedback loops - Publish to the cloud for collaborating and making available to customers. The new clarity our visual interface brings also helps makes predicting model errors and unintended feedback loops much easier to identify. Analytica® is designed and supported by a friendly and responsive staff at Lumina Decision Systems Inc.

Average Rating: 4.8/5.0

Total Reviews: 32

How Do G2 Users Rate Analytica?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.9/10)
  • Algorithms: 9.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Analytica?

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 67% Small, 18% Large

What Do G2 Reviewers Say About Analytica?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Analytica, highlighting its powerful integration and visual programming capabilities.
  • Users appreciate the powerful data manipulation and integration, making Analytica ideal for high-volume modeling.
  • Users praise Analytica's robust functionality, highlighting excellent real-time analytics and user-friendly reporting features.
  • Users value the accuracy of Analytica, consistently obtaining precise results that enhance their risk management efforts.
  • Users value the intuitive interface of Analytica, enhancing their experience with effortless navigation and usability.
Cons
  • Users find the dated interface of Analytica in need of modernization to enhance their overall experience.
  • Users find the interface outdated and believe it needs an upgrade to enhance overall usability and speed.
  • Users face connectivity issues with Analytica, hindering their ability to work effectively without stable Internet.
  • Users are frustrated by compatibility issues with other operating systems that limit the effectiveness of Analytica.
  • Users face internet dependency challenges with Analytica, making data work difficult during connectivity issues.

What Are Recent G2 Reviews of Analytica?

What Are G2 Users Discussing About Analytica?

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Plotly Dash Enterprise

Dash is the trusted solution for operationalizing Python models, allowing data science teams to focus on data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash. It enables data science teams to build, design, deploy, and securely manage data-driven applications that align with your business goals. Companies can deliver on their data, analytic, and AI initiatives quickly and effectively -- no JavaScript, CSS, CronJobs or DevOps required.

Average Rating: 4.8/5.0

Total Reviews: 36

How Do G2 Users Rate Plotly Dash Enterprise?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • Algorithms: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Plotly Dash Enterprise?

  • Seller: Plotly
  • Year Founded: 2013
  • HQ Location: Montréal, CA
  • Twitter: @plotlygraphs
    41,308 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    103 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 47% Small, 31% Large

What Do G2 Reviewers Say About Plotly Dash Enterprise?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the easy charting features of Plotly Dash Enterprise, enabling beautiful visualizations without coding.
  • Users appreciate the coding ease of Plotly Dash Enterprise, simplifying the creation of stunning visualizations effortlessly.
  • Users appreciate the excellent customer support of Plotly Dash Enterprise, enhancing their overall experience and productivity.
  • Users appreciate the ease of dashboard management in Plotly Dash Enterprise, creating efficient visualizations effortlessly.
  • Users love the user-friendly data visualization features of Plotly Dash Enterprise, enabling stunning dashboards effortlessly.

What Are Recent G2 Reviews of Plotly Dash Enterprise?

What Are G2 Users Discussing About Plotly Dash Enterprise?

Logility Solutions

Logility is a market-leading provider of AI-first supply chain management solutions engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. The company’s approach is designed to reimagine supply chain planning by shifting away from traditional “what happened” processes to an AI-driven strategy that combines the power of humans and machines to predict and be ready for what’s coming. Logility’s fully integrated, end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform the supply chain from a cost center to an engine for growth.

Average Rating: 4.2/5.0

Total Reviews: 123

How Do G2 Users Rate Logility Solutions?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • Algorithms: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Logility Solutions?

  • Seller: Aptean
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Alpharetta, Georgia
  • Twitter: @Aptean
    1,620 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,789 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Consumer Goods, Food & Beverages
  • Company Size: 54% Medium, 32% Large

What Are Recent G2 Reviews of Logility Solutions?

What Are G2 Users Discussing About Logility Solutions?

KNIME

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

Average Rating: 4.5/5.0

Total Reviews: 125

How Do G2 Users Rate KNIME?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.6/10 (Category avg: 8.1/10)
  • Algorithms: 8.2/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.6/10 (Category avg: 8.1/10)

Who Is the Company Behind KNIME?

  • Seller: KNIME
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Zurich, Switzerland
  • Twitter: @knime
    7,998 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    245 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Higher Education
  • Company Size: 43% Large, 31% Medium

What Do G2 Reviewers Say About KNIME?

AI-generated summary from verified user reviews

Pros
  • Users find KNIME's ease of use enhances productivity, enabling even non-technical individuals to build workflows effortlessly.
  • Users find KNIME's coding ease remarkable, enabling effortless workflows without requiring extensive technical skills.
  • Users find KNIME to be an easy-to-learn platform, enabling quick workflow creation without coding skills.
  • Users find KNIME easy to learn and start delivering results, thanks to its intuitive visual workflow interface.
  • Users love the easy and intuitive data visualization capabilities of KNIME, enhancing understanding and communication of data insights.
Cons
  • Users find the initial learning curve challenging, especially for those unfamiliar with data science concepts and visual programming.
  • Users face memory usage issues with KNIME, leading to slow performance, especially with larger files and operations.
  • Users report storage limitations with KNIME, leading to performance issues and difficulties with large datasets.
  • Users note that data management issues hinder their experience, especially with file handling and certain databases.
  • Users find the lack of learning resources for KNIME to be a significant barrier to effective usage.

What Are Recent G2 Reviews of KNIME?

What Are G2 Users Discussing About KNIME?

Plutoshift

Plutoshift is pioneering a new category of data platform, purpose built for enterprises that provide physical products and services. The Plutoshift Operational Data Platform (ODP) applies AI and automated machine learning to unify and align the myriad of data sources into a shared system of record, enabling a new caliber of “always-on” performance monitoring and predictive analysis. For the first time, front line and remote workers can utilize current and trusted data all the way out to the operational front lines of the business, dramatically improving the speed and reliability of critical decision making.

Average Rating: 4.8/5.0

Total Reviews: 19

How Do G2 Users Rate Plutoshift?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Algorithms: 9.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Plutoshift?

  • Seller: Plutoshift
  • Year Founded: 2024
  • HQ Location: Palo Alto, California
  • Twitter: @plutoshift
    229 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Computer Software
  • Company Size: 68% Medium, 21% Large

What Do G2 Reviewers Say About Plutoshift?

AI-generated summary from verified user reviews

Pros
  • Users value the automated data analysis of Plutoshift, streamlining complexity and enhancing decision-making efficiency.
  • Users value the real-time actionable insights of Plutoshift, enhancing decision-making through advanced data analytics.
  • Users value the responsive support team of Plutoshift, enhancing overall efficiency and decision-making capabilities.
  • Users value the real-time analysis capabilities of Plutoshift, which simplify data interpretation and enhance decision-making.
  • Users appreciate the real-time actionable insights provided by Plutoshift's innovative analytics, simplifying decision-making processes.
Cons
  • Users find Plutoshift's complex usability challenging, particularly during setup and integration for the less tech-savvy.
  • Users find Plutoshift's complexity challenging, often spending extra time to connect data sources and configure settings.
  • Users experience integration issues that can delay setup and complicate connecting data sources for Plutoshift.
  • Users find Plutoshift's learning curve challenging, especially for those not familiar with technology or integration processes.
  • Users find the difficult setup process time-consuming, especially if they lack technical expertise in integration.

What Are Recent G2 Reviews of Plutoshift?

Seeq

Seeq is a global leader in industrial AI that brings together operational data, human expertise, and AI to help industrial organizations accelerate better decisions and measurable outcomes. Seeq captures and connects the knowledge of subject matter experts, making proven approaches easier to access, apply, and scale across teams, assets, and sites. With transparent, traceable AI, Seeq helps organizations move from insight to action while keeping human judgment at the center. Trusted by leading industrial companies, Seeq supports improvements in reliability, efficiency, sustainability, workforce productivity, and profitability. Seeq helps every industrial decision benefit from collective knowledge, operational context, and intelligent action.

Average Rating: 4.6/5.0

Total Reviews: 145

How Do G2 Users Rate Seeq?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • AI Text Summarization: 6.9/10 (Category avg: 8.1/10)
  • Algorithms: 7.6/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.2/10 (Category avg: 8.1/10)

Who Is the Company Behind Seeq?

  • Seller: Seeq Corporation
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Seattle, Washington
  • Twitter: @SeeqCorporation
    959 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    334 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Process Engineer
  • Top Industries: Oil & Energy, Chemicals
  • Company Size: 58% Large, 32% Medium

What Do G2 Reviewers Say About Seeq?

AI-generated summary from verified user reviews

Pros
  • Users value the capability to analyze and visualize complex data sets effectively with Seeq's user-friendly design.
  • Users appreciate the ease of use of Seeq, as it simplifies data analysis for professionals across various fields.
  • Users value the transformative capabilities of Seeq in delivering actionable insights for enhanced decision-making and performance.
  • Users appreciate the intuitive analysis capabilities of Seeq, making it easy to explore and identify data trends.
  • Users value the automation capabilities of Seeq, significantly improving efficiency and decision-making in data analysis.
Cons
  • Users find the difficult learning curve of Seeq challenging, especially when trying to navigate the tool independently.
  • Users find the complex usability of Seeq challenging, especially when visualizing LIMS and time series data.
  • Users find the learning curve steep, especially when navigating the tool without guidance, requiring engineering knowledge for full usage.
  • Users find the learning difficulty of Seeq to be challenging, especially when trying to master its formula functions.
  • Users find the interface challenging for visualizing data and express a need for improved dashboard features.

What Are Recent G2 Reviews of Seeq?

What Are G2 Users Discussing About Seeq?

IBM Watson Studio

IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale trustworthy AI and optimize decisions. Build, run, and manage AI models on any cloud through an automated end-to-end AI lifecycle--simplifying experimentation and deployment, speeding up data exploration and preparation, and improving model development and training. Govern and monitor models to mitigate drift and bias, and manage model risk. Build a ModelOps practice that synchronizes application and model pipelines to operationalize responsible, explainable AI across your enterprise. As a key offering of IBM Cloud Pak for Data, a unified data and AI platform, Watson Studio integrates seamlessly with data management services, data privacy and security capabilities, AI application tooling, open source frameworks, and a robust technology ecosystem. It unites teams and empowers businesses to build the modern information architecture that AI requires and infuse it across the organization. IBM Watson Studio is code-optional, allowing both data scientists and business analysts to work on the same platform by providing the best of open source tools along with visual, drag-and-drop capabilities. It enables organizations to tap into data assets and inject predictions into business processes and modern applications—helping them maximize their business value. It's suited for hybrid multicloud environments that demand mission-critical performance, security, and governance. Features include: • AutoAI that eliminates time-consuming, repetitive tasks by automating data preparation, model development, feature engineering and hyperparameter optimization. • Text Analytics for uncovering insights from unstructured data • Drag-and-drop visual model-building with SPSS Modeler • Broad data access – flat files, spreadsheets, major relational databases • Sophisticated graphics engine for building stunning visualizations • Support for Python 3 Notebooks Watson Studio is available via several deployment options: • IBM Cloud Pak for Data – An open, extensible data and AI platform that runs on any cloud • IBM Cloud Pak for Data System – A hybrid cloud, on-premises platform-in-a-box • IBM Cloud Pak for Data as a Service – A set of IBM Cloud Pak for Data platform services fully managed on the IBM Cloud

Average Rating: 4.2/5.0

Total Reviews: 164

How Do G2 Users Rate IBM Watson Studio?

  • Has the product been a good partner in doing business?: 8.0/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.3/10 (Category avg: 8.1/10)
  • Algorithms: 8.1/10 (Category avg: 8.6/10)
  • AI Text Generation: 9.3/10 (Category avg: 8.1/10)

Who Is the Company Behind IBM Watson Studio?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Software Engineer, CEO
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 49% Large, 31% Small

What Do G2 Reviewers Say About IBM Watson Studio?

AI-generated summary from verified user reviews

Pros
  • Users admire the Auto AI capability of IBM Watson Studio, significantly reducing manual work and streamlining data projects.
  • Users appreciate the Auto AI capability of IBM Watson Studio, significantly reducing time spent on manual data tasks.
  • Users appreciate the user-friendly interface of IBM Watson Studio, facilitating seamless integration and efficient project collaboration.
  • Users appreciate the Auto AI capability of IBM Watson Studio, significantly reducing manual work in data preprocessing.
  • Users appreciate the easy AI integration in IBM Watson Studio, significantly enhancing their data science and ML workflows.
Cons
  • Users find the high cost of IBM Watson Studio challenging, especially for individuals and small startups.
  • Users find the steep learning curve of IBM Watson Studio challenging, making it difficult for beginners to navigate.
  • Users experience a steep learning curve with IBM Watson Studio, making it challenging for beginners to navigate its features.
  • Users find the complex interface of IBM Watson Studio challenging, particularly for those just starting out.
  • Users find the steep learning curve of IBM Watson Studio challenging, particularly for beginners navigating its complex features.

What Are Recent G2 Reviews of IBM Watson Studio?

What Are G2 Users Discussing About IBM Watson Studio?

Zepl

Zepl let you use data science to analyze your cloud data warehouse in minutes. Customers use Zepl for all kinds of use cases, including predictive analytics, marketing analytics, preventive maintenance, security, anomaly detection, sales forecasting, product recommendations and more. Zepl is an extensible, cloud-based data science and analytics platform for enterprise teams. With Zepl, teams of data analysts and data scientists can use Python, R, Spark, Scala, and SQL to find insights and make predictions about their most important business challenges, as well as package and present their findings using built-in advanced visualizations.

Average Rating: 4.3/5.0

Total Reviews: 26

How Do G2 Users Rate Zepl?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.9/10 (Category avg: 8.1/10)
  • Algorithms: 9.0/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.9/10 (Category avg: 8.1/10)

Who Is the Company Behind Zepl?

  • Seller: DataRobot
  • Year Founded: 2012
  • HQ Location: Boston, Massachusetts
  • Twitter: @DataRobot
    19,225 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    886 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student
  • Top Industries: Computer Software, Accounting
  • Company Size: 69% Small, 42% Medium

What Are Recent G2 Reviews of Zepl?

ManageEngine Analytics Plus

https://www.manageengine.com/analytics ManageEngine Analytics Plus is an AI-powered IT analytics and decision intelligence platform that transforms complex IT data into actionable strategies. It delivers unified visibility, predictive intelligence, and strategic decision-making across every layer of IT. By combining decision intelligence, GenAI, and no-code ML, IT teams can find hidden dependencies and inefficiencies, implement corrective strategies, and optimize performance across the entire IT stack. With contextual intelligence embedded across IT applications, the platform delivers actionable insights, expedites root cause analysis, and predicts outcomes through intuitive, no-code interactions. With Zia, Analytics Plus’ AI-powered assistant, gain instant insights, surface key drivers behind trends, and receive contextual recommendations to guide faster decision-making. With agentic AI-driven analytics and cross-domain insights, real-time IT intelligence is seamlessly woven into workflow orchestrations—no specialized expertise required. Create powerful, interactive dashboards and reports using Zia, and with intuitive drag-and-drop tools. Access a rich library of prebuilt dashboards and reports tailored for varied IT use cases such as monitoring network performance, detecting security anomalies, and optimizing technician efficiency, helping teams get started quickly and make faster data-driven decisions. With support for both cloud and on-premises deployments and 250+ integrations, including with the ManageEngine suite, Analytics Plus adapts to diverse organizational needs. Its enterprise-grade scalability, security, and governance framework ensure reliable performance and scalability across complex IT environments.

Average Rating: 4.4/5.0

Total Reviews: 13

How Do G2 Users Rate ManageEngine Analytics Plus?

  • Has the product been a good partner in doing business?: 9.6/10 (Category avg: 8.9/10)

Who Is the Company Behind ManageEngine Analytics Plus?

  • Seller: Zoho
  • Year Founded: 1996
  • HQ Location: Austin, TX
  • Twitter: @Zoho
    137,880 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    30,913 employees on LinkedIn®
  • Phone: +1 (888) 900-9646

Who Uses This Product?

  • Company Size: 54% Large, 38% Medium

What Do G2 Reviewers Say About ManageEngine Analytics Plus?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the dynamic and modern dashboards of ManageEngine Analytics Plus, enhancing their data visualization experience.
  • Users appreciate the ease of use of ManageEngine Analytics Plus, finding its features intuitive and efficient for their needs.
  • Users appreciate the easy integrations of ManageEngine Analytics Plus, enhancing functionality and delivering valuable insights seamlessly.
  • Users value the seamless integrations of ManageEngine Analytics Plus, enhancing insights and overall functionality significantly.
  • Users appreciate the dynamic dashboards and effective governance of ManageEngine Analytics Plus, enhancing data management experiences.

What Are Recent G2 Reviews of ManageEngine Analytics Plus?

Black Crow AI

Black Crow AI is a Shopify app that predicts shopping behavior patterns to efficiently acquire and reach more customers across digital marketing channels. We empower e-commerce brand growth by unlocking the hidden value in the customer data you already own.

Average Rating: 4.8/5.0

Total Reviews: 12

How Do G2 Users Rate Black Crow AI?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Algorithms: 9.6/10 (Category avg: 8.6/10)

Who Is the Company Behind Black Crow AI?

  • Seller: Black Crow AI
  • HQ Location: New York, NY
  • Twitter: @BlackCrowAI
    288 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    73 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 58% Small, 33% Medium

What Are Recent G2 Reviews of Black Crow AI?

IBM Cloud Pak for Data

IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Running on Red Hat OpenShift and available on any cloud, this unified platform helps companies automate the end-to-end AI lifecycle. The intelligent data fabric in IBM Cloud Pak for Data enables automated distributed queries at scale without data movement; automated discovery and understanding of business-ready data; automated universal privacy and usage policies across the data ecosystem; and optimized model training, accuracy and explainability. View the demo: https://mediacenter.ibm.com/media/1_je41fqqz. The platform delivers on the below use cases: • Data access and availability – Eliminate data silos and simplify your data landscape to enable faster, cost-effective extraction of value from your data. • Data quality and governance - Apply governance solutions and methodologies to deliver trusted, business data. • Data privacy and security - Fully understand and manage sensitive data with a pervasive privacy framework. • ModelOps - Automate the AI lifecycle and synchronize application and model pipelines to scale AI deployments. • AI governance – Ensure your AI is transparent, compliant and trustworthy with greater visibility into model development, with capabilities such as explainable AI, model risk management and bias detection. • AI for Financial Operations - Automate and integrate planning across your organization, from financial planning & analysis to workforce planning, sales forecasting and supply chain planning. • AI for Customer care - Reduce time to resolution, decrease call volume and increase customer satisfaction. IBM Watson Assistant (WA) can provide AI-powered automated assistance and enable human agents to better handle inquiries. IBM Watson Discovery (WD) complements Watson Assistant and can help unlock insights from complex business content. Discover IBM Cloud Pak for Data Industry Accelerators: https://dataplatform.cloud.ibm.com/gallery?context=cpdaas See a case study: https://mediacenter.ibm.com/media/1_sr6lx8sz Try at no-cost: http://ibm.biz/dataplatformtrial

Average Rating: 4.3/5.0

Total Reviews: 71

How Do G2 Users Rate IBM Cloud Pak for Data?

  • Has the product been a good partner in doing business?: 8.1/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.3/10 (Category avg: 8.1/10)
  • Algorithms: 8.6/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.9/10 (Category avg: 8.1/10)

Who Is the Company Behind IBM Cloud Pak for Data?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 52% Large, 27% Small

What Are Recent G2 Reviews of IBM Cloud Pak for Data?

Forwrd

Struggling to keep your scoring models up to date every time marketing campaigns or product features are launched? Meet Forwrd, the easiest way to build accurate scoring models that literally become smarter every day, learning from new data in real time. Build a self-learning scoring model that automatically identifies new conversion-impacting factors in your data and updates itself, without any manual work. Scores can be pushed into the business apps employees use daily (e.g., SFDC, HubSpot, Slack) to enable frontline employees to focus on their best prospects and customers. ✅ No more manual updates to your scoring method as your marketing evolves. ✅ Your model gets smarter every day by learning from fresh data. ✅ Accurate scoring means focusing on your AAA leads. ✅ Connect your CRM, HubSpot, product analytics, ticketing system, and more! ✅ No need for analysts or data teams. There's a reason B2B SaaS leaders like Jasper.ai, AppsFlyer, and WalkMe use Forwrd to focus on their best leads, MQLs, PQLs, SQLs, and customers. – "4X more PQLs", PowToon – "48% more opportunities", AppsFlyer – "21% more qualified pipeline", Totango – "31% better retention", WalkMe

Average Rating: 4.8/5.0

Total Reviews: 32

How Do G2 Users Rate Forwrd?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 8.9/10)
  • AI Text Summarization: 5.0/10 (Category avg: 8.1/10)
  • Algorithms: 8.1/10 (Category avg: 8.6/10)
  • AI Text Generation: 5.0/10 (Category avg: 8.1/10)

Who Is the Company Behind Forwrd?

  • Seller: Forwrd
  • Year Founded: 2021
  • HQ Location: Tel Aviv-Yafo, IL
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 66% Medium, 16% Large

What Do G2 Reviewers Say About Forwrd?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Forwrd, praising its intuitive interface and streamlined onboarding process.
  • Users love the ease of building machine learning models with Forwrd, allowing for quick iterations and accurate results.
  • Users commend Forwrd for its seamless onboarding and integration, alongside exceptional support and intuitive data analysis tools.
  • Users find Forwrd's intuitive dashboard incredibly helpful for easy model iteration and effective data quality assessment.
  • Users rave about the automation capabilities of Forwrd, enabling swift and efficient machine learning model creation without coding.
Cons
  • Users often face learning difficulties with unclear definitions and require assistance to fully utilize Forwrd's features.

What Are Recent G2 Reviews of Forwrd?

Epsilon3

Epsilon3 is the first AI-powered procedure and resource management tool designed for teams that engineer, build, test, and operate advanced products and systems. ✔ Standardize & Optimize Processes Our interoperable procedure execution system replaces inefficient checklists managed with paper, spreadsheets, docs, and outdated planning tools. Automatically track every step to ensure quality, consistency, and traceability. ✔ Fuel Rapid Iteration & Innovation Built-in version control, conditional workflows, and real-time data synchronization keep stakeholders on the same page. Enable continuous improvement and quick, data-driven decisions to stay far ahead of the competition. ✔ Streamline & Scale Operations Securely integrate siloed systems and automate repetitive, error-prone tasks to boost productivity and prevent delays. Simplify training, reduce costs, and maintain efficiency as your operations expand to meet demand. Epsilon3 is trusted by industry leaders like NASA, Blue Origin, Firefly Aerospace, Sierra Space, Redwire, Shift4, AeroVironment, Commonwealth Fusion Systems, and other commercial and government organizations. The company and platform were built by engineering leaders from SpaceX, NASA, and Google. Learn how: https://www.epsilon3.io/

Average Rating: 4.2/5.0

Total Reviews: 260

How Do G2 Users Rate Epsilon3?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.9/10 (Category avg: 8.1/10)
  • Algorithms: 8.3/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.3/10 (Category avg: 8.1/10)

Who Is the Company Behind Epsilon3?

  • Seller: Epsilon3
  • Company Website:
  • Year Founded: 2021
  • HQ Location: Los Angeles, California
  • Twitter: @Epsilon3Inc
    1,068 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    37 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Customer Service Representative
  • Top Industries: Aviation & Aerospace, Financial Services
  • Company Size: 44% Medium, 40% Large

What Do G2 Reviewers Say About Epsilon3?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Epsilon3, noting clear guides and well-organized information for new employees.
  • Users highlight the efficiency and ease of managing procedures with Epsilon3, appreciating its digital organization and review capabilities.
  • Users appreciate the version control feature of Epsilon3, which simplifies article management and edit requests.
  • Users value the efficiency of Epsilon3, as it centralizes procedures and streamlines workflows, saving time and reducing errors.
  • Users value the efficiency improvement of Epsilon3, streamlining workflows and enhancing productivity significantly.
Cons
  • Users face a significant initial learning curve, which may temporarily hinder productivity before proficiency is achieved.
  • Users find the complexity of Epsilon3 frustrating, particularly with lengthy loading times and confusing navigation.
  • Users find the confusing procedures cumbersome, making it difficult to locate specific information efficiently.
  • Users find the complex procedures of Epsilon3 challenging, requiring substantial experience for effective usage.
  • Users find Epsilon3 has a confusing interface that complicates navigation, especially for new users.

What Are Recent G2 Reviews of Epsilon3?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated October 29, 2024