Best Predictive Analytics Software for Small Business - Page 2

How Many Predictive Analytics Software Products Does G2 Track?

Total Products under this Category: 422

Category Stats (Sep 2026)

  • Average Rating: 4.44/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Palantir Foundry (+1.94%) - Among all products in this category, Palantir Foundry recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Predictive Analytics Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 30,000+ Authentic Reviews
  • 422+ 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, SAS Viya, Amazon Quick, Adobe Analytics, IBM Cognos Analytics, Amazon Forecast, GoodData.AI, and Clari.

Underlying data: [Grid® JSON](https://www.g2.com/categories/predictive-analytics/grids.json?focus%5B%5D=tableau&focus%5B%5D=sas-sas-viya&focus%5B%5D=amazon-quick&focus%5B%5D=adobe-analytics&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=amazon-forecast&focus%5B%5D=gooddata-ai&focus%5B%5D=clari&segment=small-business)

IBM SPSS Modeler

The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scientists. Leading organizations worldwide rely on IBM for data discovery, predictive analytics, model management and deployment, and machine learning to monetize data assets. The IBM SPSS Modeler empowers organizations to tap data assets and modern applications with complete, out-of-box algorithms and models, suited for hybrid, multi-cloud environments with robust governance and security posture. • Take advantage of open source based innovation including R or Python • Empower data scientists of all skills – programmatic and visual • Exploit multi-cloud approach - on-prem, public or private clouds • Start small and scale to enterprise-wide, governed approach

Average Rating: 4.0/5.0

Total Reviews: 128

How Do G2 Users Rate IBM SPSS Modeler?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.3/10 (Category avg: 8.1/10)
  • Algorithms: 8.0/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.3/10 (Category avg: 8.1/10)

Who Is the Company Behind IBM SPSS Modeler?

  • 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: Higher Education, Education Management
  • Company Size: 53% Large, 24% Medium

What Do G2 Reviewers Say About IBM SPSS Modeler?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the robust analytical modeling capabilities of IBM SPSS Modeler, enhancing data manipulation and preparation efficiency.
  • Users value the seamless data manipulation and robust analytical modeling capabilities of IBM SPSS Modeler for BI applications.
  • Users value the seamless data access in IBM SPSS Modeler, enhancing their ability to work with various datasets effectively.
  • Users value the seamless data manipulation capabilities of IBM SPSS Modeler, enhancing efficiency in BI tools integration.
  • Users value the seamless data visualization capabilities of IBM SPSS Modeler, enhancing their analytical precision and efficiency.
Cons
  • Users find the expensive licensing costs of IBM SPSS Modeler to be a significant drawback for individual use.
  • Users find the licensing costs prohibitive, making IBM SPSS Modeler an expensive choice for many.

What Are Recent G2 Reviews of IBM SPSS Modeler?

What Are G2 Users Discussing About IBM SPSS Modeler?

Alteryx

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.

Average Rating: 4.6/5.0

Total Reviews: 863

How Do G2 Users Rate Alteryx?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.2/10 (Category avg: 8.1/10)
  • Algorithms: 8.3/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.0/10 (Category avg: 8.1/10)

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • Twitter: @alteryx
    26,149 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 63% Large, 21% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Alteryx, finding it simple to automate tasks with drag and drop functionality.
  • Users value the automation capabilities of Alteryx, streamlining data processes and enhancing analytical efficiency.
  • Users find Alteryx to be very intuitive, making it easy for non-technical users to learn and utilize.
  • Users find that Alteryx's interface makes learning technology easy for everyone, even those without a tech background.
  • Users value Alteryx for its efficiency in managing data, streamlining workflows, and enhancing overall productivity.
Cons
  • Users highlight the expensive pricing of Alteryx, making it difficult for small teams or startups to afford licenses.
  • Users face a steep learning curve with Alteryx, requiring time to master its complex features.
  • Users find that Alteryx suffers from missing features, such as lack of direct database access and limited reporting tools.
  • Users find the learning difficulty of Alteryx steep, especially for those unfamiliar with RegEx and SQL.
  • Users experience slow performance with Alteryx, particularly when handling large workflows and during data wrangling tasks.

What Are Recent G2 Reviews of Alteryx?

Salesloft

Salesloft is the revenue orchestration platform that closes the gap between what revenue teams know and what they do next. Powered by agentic AI, Salesloft's Predictive Revenue System connects live signals from buyer engagement, conversations, deals, and forecast data, turning intelligence into clear, prioritized action. Trusted by more than 4,000 organizations including Adobe, 3M, IBM, and Zoom, Salesloft helps revenue teams move from guesswork to confidence, quarter after quarter.

Average Rating: 4.5/5.0

Total Reviews: 4,163

How Do G2 Users Rate Salesloft?

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

Who Is the Company Behind Salesloft?

  • Seller: Salesloft
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Atlanta, GA
  • Twitter: @Salesloft
    18,437 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,098 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Account Executive, Sales Development Representative
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 56% Medium, 23% Small

What Do G2 Reviewers Say About Salesloft?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in Salesloft invaluable for efficient contact management and outreach.
  • Users appreciate the powerful automation features of Salesloft, greatly enhancing their sales engagement and productivity.
  • Users find Salesloft's helpful functionalities in call tracking and customizable cadences instrumental for efficient contact management.
  • Users value the seamless automation features in Salesloft, making call tracking and email campaigns effortless.
  • Users value the time-saving features of Salesloft, enhancing efficiency in managing outreach and prospecting activities.
Cons
  • Users find missing features like domain rotation and improved text formatting hinder their email effectiveness in Salesloft.
  • Users face call issues with Salesloft, experiencing difficulties with app alignment and support consistency during usage.
  • Users often face integration issues with Salesloft, particularly with platforms like HubSpot, affecting overall effectiveness.
  • Users note the limited features compared to competitors, impacting their overall experience and efficiency with Salesloft.
  • Users face a steep learning curve with Salesloft, making it challenging for newcomers to navigate effectively.

What Are Recent G2 Reviews of Salesloft?

What Are G2 Users Discussing About Salesloft?

DataRobot

DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting edge software and world-class AI implementation, training, and support services, empowers any organization – regardless of size, industry, or resources – to drive better business outcomes with AI.

Average Rating: 4.4/5.0

Total Reviews: 39

How Do G2 Users Rate DataRobot?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • Algorithms: 9.4/10 (Category avg: 8.6/10)

Who Is the Company Behind DataRobot?

  • 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?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 43% Small, 40% Medium

What Are Recent G2 Reviews of DataRobot?

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: 117

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
    244 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Higher Education
  • Company Size: 39% Large, 34% 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?

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?

JMP

JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect. To see a full list of data connectors please visit https://www.jmp.com/en/software/analytic-workflow/data-connectors

Average Rating: 4.5/5.0

Total Reviews: 206

How Do G2 Users Rate JMP?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.9/10)
  • AI Text Summarization: 10.0/10 (Category avg: 8.1/10)
  • Algorithms: 8.7/10 (Category avg: 8.6/10)
  • AI Text Generation: 10.0/10 (Category avg: 8.1/10)

Who Is the Company Behind JMP?

  • Seller: JMP Statistical Discovery
  • Company Website:
  • Year Founded: 1989
  • HQ Location: Cary, North Carolina
  • Twitter: @JMP_software
    2,760 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,063 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student
  • Top Industries: Higher Education, Information Technology and Services
  • Company Size: 42% Large, 33% Small

What Do G2 Reviewers Say About JMP?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in JMP, allowing simple data exploration and visualization without complicated coding.
  • Users appreciate the interactive data visualization in JMP, making it easy to explore and understand complex datasets.
  • Users value the ease of statistical analysis with JMP, enabling intuitive data exploration and visualization effortlessly.
  • Users appreciate the dynamic and intuitive visualization capabilities of JMP, making data exploration and analysis effortless.
  • Users appreciate the intuitive and interactive interface of JMP, enhancing their data analysis and visualization experience.
Cons
  • Users find JMP to be quite expensive, making it challenging for smaller businesses to adopt effectively.
  • Users find the learning curve steep, especially for those unfamiliar with statistical analysis, making mastery challenging.
  • Users find JMP offers limited flexibility in integration and model options, impacting their analysis capabilities.
  • Users note that JMP has a steep learning curve and can be overwhelming for new users and beginners.
  • Users find limitations in storage with JMP, especially lacking models for multivariate analysis and time series.

What Are Recent G2 Reviews of JMP?

What Are G2 Users Discussing About JMP?

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
    101 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?

Domo

Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI across their business. Built for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks to help teams turn governed data into AI-powered agents, apps, workflows, and analytics. Domo is built on three layers. The data foundation connects and governs data across cloud data platforms and business systems. The activation layer enables organizations to build AI agents, apps, workflows, automations, and dashboards on top of that foundation. The distribution layer delivers intelligence where work happens through embedded apps, mobile, dashboards, and AI assistants using Model Context Protocol (MCP). Governance underpins every layer, helping organizations scale AI and data products with security and trust. Key capabilities include: - Connecting and governing data across cloud data platforms and enterprise applications. - Building AI agents, apps, workflows, automations, dashboards, and analytics. - Delivering data and AI through dashboards, embedded apps, AI assistants, and AI agents. - Supporting both low-code and pro-code development for business and technical teams. - Applying governance, security, and access controls across data and AI. Organizations use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, and executive reporting. By combining governed data, AI activation, app development, and distribution in a single platform, Domo helps organizations build and scale trusted data products across the enterprise.

Average Rating: 4.3/5.0

Total Reviews: 1,069

How Do G2 Users Rate Domo?

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

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 find Domo's ease of use and intuitive design invaluable for managing data efficiently and effectively.
  • Users value the flexible and user-friendly data visualization capabilities of Domo, enhancing their data analysis experience significantly.
  • Users find Domo's intuitive design empowering, facilitating easy access and effective data visualization for all skill levels.
  • Users praise Domo for its easy integrations, streamlining data management and enhancing real-time collaboration across various platforms.
  • Users value Domo's seamless integration capabilities, enabling efficient data management and real-time insights from various sources.
Cons
  • Users find the learning curve steep, often needing dedicated resources to manage updates and functionalities effectively.
  • Users report missing features in Domo, including flexibility in pivot charts and dynamic column options.
  • Users face significant data management issues with Domo, including unreliable connectors and challenging reporting functionality.
  • Users find Domo expensive, especially with drastic price increases that strain budgets and erode client trust.
  • Users find Domo's complexity hinders flexibility and speed in dataset management, making changes challenging and time-consuming.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

SAS Enterprise Miner

SAS Enterprise Miner is a comprehensive data mining and predictive analytics software designed to streamline the process of developing descriptive and predictive models. It enables users to analyze vast amounts of data efficiently, uncovering patterns and relationships that inform better decision-making. With an intuitive graphical user interface, SAS Enterprise Miner facilitates the entire data mining process, from data preparation to model assessment, making advanced analytics accessible to both technical and non-technical users. Key Features and Functionality: - User-Friendly Interface: An interactive GUI allows users to build process flow diagrams, simplifying the modeling process. - Advanced Data Preparation: Tools for handling missing values, filtering outliers, and performing data transformations enhance data quality. - Diverse Modeling Techniques: Supports a wide range of algorithms, including decision trees, neural networks, and regression models, catering to various analytical needs. - Open Source Integration: Seamless integration with R enables users to perform data transformations and model training within the platform. - High-Performance Capabilities: Incorporates high-performance data mining nodes to boost processing efficiency. - Automated Scoring: Generates score code in multiple languages (SAS, C, Java, PMML) for deployment across various environments. - Model Comparison and Management: Features for comparing multiple models using lift curves and statistical diagnostics to identify the best-performing models. Primary Value and Solutions Provided: SAS Enterprise Miner empowers organizations to harness the full potential of their data by providing a robust platform for developing accurate predictive models. It addresses challenges such as fraud detection, risk minimization, resource demand forecasting, and customer attrition reduction. By automating and simplifying complex data mining tasks, it enables users to make informed, data-driven decisions, ultimately enhancing operational efficiency and competitive advantage.

Average Rating: 4.2/5.0

Total Reviews: 185

How Do G2 Users Rate SAS Enterprise Miner?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.4/10 (Category avg: 8.1/10)
  • Algorithms: 8.0/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.4/10 (Category avg: 8.1/10)

Who Is the Company Behind SAS Enterprise Miner?

  • Seller: SAS Institute Inc.
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Top Industries: Higher Education, Information Technology and Services
  • Company Size: 60% Large, 28% Medium

What Do G2 Reviewers Say About SAS Enterprise Miner?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of installation in SAS Enterprise Miner, allowing for quick node-based analysis setup.
  • Users appreciate the ease of node-based analysis in SAS Enterprise Miner, enhancing their analytical workflow.
  • Users value the ease of creating node-based analyses with SAS Enterprise Miner, enhancing their analytical capabilities.
Cons
  • Users find the learning curve steep, especially when generating output to other SAS products as beginners.
  • Users find SAS Enterprise Miner not user-friendly, especially when generating output without sufficient experience.
  • Users find the steep learning curve of SAS Enterprise Miner challenging, especially when generating output to other SAS products.

What Are Recent G2 Reviews of SAS Enterprise Miner?

What Are G2 Users Discussing About SAS Enterprise Miner?

Qlik Sense

Qlik Sense empowers people to make better data-driven decisions and take action. The solution provides augmented analytics for every business need from visualization and dashboards to natural language analytics, custom and embedded analytics, reporting and alerting. Our unique associative technology enhances human intuition with AI-powered insights, offering unmatched capabilities for combining data and exploring information. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools. And it performs calculations as fast as you can think. Qlik Sense helps users move from passive to active analytics for real-time collaboration and action. And you get robust data integration, application automation and the convenience of SaaS with hybrid multi-cloud capabilities. See why we’ve been named a Gartner Magic Quadrant Leader for Analytics and BI platforms for 11 years in a row. Visit us at https://www.qlik.com/us/

Average Rating: 4.4/5.0

Total Reviews: 762

How Do G2 Users Rate Qlik Sense?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.3/10 (Category avg: 8.1/10)
  • Algorithms: 8.3/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.5/10 (Category avg: 8.1/10)

Who Is the Company Behind Qlik Sense?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • Twitter: @qlik
    64,130 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,399 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Who Uses This: Consultant, Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 41% Large, 41% Medium

What Do G2 Reviewers Say About Qlik Sense?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use in Qlik Sense, enhancing their productivity with minimal IT support needed.
  • Users commend the robust data visualization capabilities of Qlik Sense, enhancing insights with its user-friendly interface.
  • Users appreciate the rapid development capabilities of Qlik Sense, enabling quick creation and deployment of analytics applications.
  • Users value the robust data visualization capabilities of Qlik Sense, enhancing their insights and business strategies.
  • Users value the versatile and user-friendly tools in Qlik Sense, enhancing data representation and insights across levels.
Cons
  • Users find the limited features of Qlik Sense restrict their ability to create custom visualizations effectively.
  • Users find the missing features in Qlik Sense restrictive, particularly lacking personal object additions and static report options.
  • Users find Qlik Sense expensive, which limits its accessibility despite its capabilities.
  • Users note the limited automation in data updates and desire better organization and visualization capabilities in Qlik Sense.
  • Users find the learning curve steep, especially with scripting functions and integration challenges for beginners.

What Are Recent G2 Reviews of Qlik Sense?

What Are G2 Users Discussing About Qlik Sense?

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?

Spotfire Analytics

Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Turn raw data into real-time decisions with powerful, interactive visual analytics with Spotfire® Analytics. Spotfire Analytics is designed for business agility, enabling every user to explore data visually, uncover patterns quickly, and make confident, data-driven decisions without writing a single line of code. As a self-service visual data science solution, it empowers teams across roles and departments to gain fast, actionable insights that drive impact. With its no-code interactive dashboards and rich visual exploration capabilities, Spotfire Analytics connects natively to hundreds of cloud, on-premises, and real-time data sources. Built-in geoanalytics extend the power of analysis with multi-layer mapping and seamless integration of spatial data, while data wrangling and transformation can be performed directly within the visual interface, making it easy to clean, shape, and blend data as you analyze. AI-assisted recommendations and anomaly detection help uncover hidden patterns, suggest the most meaningful visualizations, and accelerate the path to discovery. Customizable visualizations, workflows, and an intuitive interface ensure that insights are not only easier to create but also easier to share. With seamless collaboration features, Spotfire Analytics enables teams to work together, align on insights, and act decisively. Whether the goal is to analyze trends, detect anomalies, or unlock location-based intelligence, Spotfire Analytics delivers the speed, flexibility, and depth needed to make smarter decisions with confidence. Explore and understand your data visually, uncover hidden insights, and build powerful analytics applications - all without writing a single line of code. Spotfire Analytics combines advanced interactive visualizations and intuitive data wrangling in one environment. Connect to hundreds of data sources, from files to real-time streaming data, and transform messy data directly within your visuals. Built-in AI recommendations help you find patterns, anomalies, and trends faster. With flexible visualizations, spatial analytics, and custom applications, anyone can turn raw data into actionable insights in minutes. Designed for business agility, Spotfire Analytics empowers every user to explore, analyze, and share results confidently - turning questions into decisions. Best for: Analysts, data-savvy professionals, and teams looking to explore and share data visually with maximum flexibility.

Average Rating: 4.2/5.0

Total Reviews: 328

How Do G2 Users Rate Spotfire Analytics?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.3/10 (Category avg: 8.1/10)
  • Algorithms: 6.3/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.3/10 (Category avg: 8.1/10)

Who Is the Company Behind Spotfire Analytics?

Who Uses This Product?

  • Who Uses This: Student, Manager
  • Top Industries: Oil & Energy, Information Technology and Services
  • Company Size: 52% Large, 26% Medium

What Do G2 Reviewers Say About Spotfire Analytics?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the powerful and flexible data visualization capabilities of Spotfire Analytics, enhancing their data exploration experience.
  • Users appreciate the ease of use of Spotfire Analytics, enabling quick insights and effective decision-making with complex data.
  • Users appreciate the easy integrations of Spotfire Analytics, enhancing accuracy and enabling robust AI-powered analytics seamlessly.
  • Users rave about Spotfire's powerful analytics capabilities, enabling advanced data handling and insightful visualizations seamlessly.
  • Users love the transformative interactive visualizations of Spotfire, simplifying complex data for clear understanding across teams.
Cons
  • Users find Spotfire's steep learning curve challenging, particularly for those unfamiliar with data modeling and scripting.
  • Users find the learning difficulty significant, especially for beginners navigating advanced features and options in Spotfire.
  • Users find the licensing costs high, making Spotfire Analytics less accessible for smaller organizations.
  • Users often face a steep learning curve with Spotfire Analytics, making initial use challenging for newcomers.
  • Users note that there are limitations in data comparison and features, affecting usability and clarity of Spotfire Analytics.

What Are Recent G2 Reviews of Spotfire Analytics?

What Are G2 Users Discussing About Spotfire Analytics?

Board

Board is the most trusted Agentic Planning Platform, combining business context, Continuous Planning, and efficient enterprise AI to deliver confident, aligned, and faster decisions. Built to complement your data and AI strategy, Board brings together enterprise data and external signals with planning models, business logic, domain expertise, and decision context. Continuous Planning continuously senses change, models scenarios and trade-offs, and aligns financial and operational plans. Within a single, governed platform, agentic AI understands how your business makes decisions, reasons effectively, recommends changes, and supports action with human oversight, helping leaders make explainable, accountable decisions that improve business outcomes.

Average Rating: 4.4/5.0

Total Reviews: 304

How Do G2 Users Rate Board?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • AI Text Summarization: 6.3/10 (Category avg: 8.1/10)
  • Algorithms: 8.6/10 (Category avg: 8.6/10)
  • AI Text Generation: 6.7/10 (Category avg: 8.1/10)

Who Is the Company Behind Board?

  • Seller: Board International
  • Company Website:
  • Year Founded: 1994
  • HQ Location: Chiasso, Ticino
  • Twitter: @BoardSoftware
    27,073 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    948 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Group Controller
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Medium, 40% Large

What Do G2 Reviewers Say About Board?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Board, facilitating quick deployment and intuitive self-service interactions.
  • Users value the flexibility of Board, allowing customization to fit diverse business needs seamlessly.
  • Users value the centralized access to information, making board meetings efficient and focused on strategic discussions.
  • Users value the efficiency of Board, benefiting from faster deployment and streamlined meeting management.
  • Users appreciate the highly flexible customization of Board, allowing tailored solutions for diverse business needs.
Cons
  • Users experience slow performance with large datasets on Board, impacting efficiency and complicating the use of advanced features.
  • Users find that the learning curve for Board can be steep, particularly in configuration and advanced features.
  • Users find the missing features like layout exclusions limiting, impacting their overall experience with Board.
  • Users express frustration with poor visualization in Board, highlighting inefficiencies in dashboard design and data handling.
  • Users find the complexity of configuration in Board challenging, especially for new users and smaller teams.

What Are Recent G2 Reviews of Board?

What Are G2 Users Discussing About Board?

Wand.ai

Wand platform, enables business users and data analysts to solve real-world business problems easily and quickly – Collaborative, measurable and scalable.

Average Rating: 3.8/5.0

Total Reviews: 15

How Do G2 Users Rate Wand.ai?

  • AI Text Summarization: 8.7/10 (Category avg: 8.1/10)
  • Algorithms: 7.5/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.3/10 (Category avg: 8.1/10)

Who Is the Company Behind Wand.ai?

  • Seller: Wand.ai
  • Year Founded: 2022
  • HQ Location: San Francisco, Bay Area, US
  • LinkedIn® Page: www.linkedin.com
    190 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Do G2 Reviewers Say About Wand.ai?

AI-generated summary from verified user reviews

Pros
  • Users find Wand.ai's ease of learning remarkable, facilitating quick access to AI functionalities without a steep learning curve.
  • Users appreciate the ease of use of Wand.ai, enabling quick, flexible, and efficient interaction with AI tools.
  • Users appreciate the flexibility of Wand.ai, effortlessly adapting it to various use cases and workflows.
  • Users appreciate the intuitive interface of Wand.ai, making AI interaction seamless and enhancing productivity effortlessly.
  • Users enjoy the speed of task completion with Wand.ai, making content creation and idea generation effortless.
Cons
  • Users find the difficult customization of Wand.ai limits usability and makes the experience less reliable overall.
  • Users find that limited features on lower plans hinder functionality and require manual adjustments, affecting usability.
  • Users experience slow performance during heavy usage, affecting the reliability and responsiveness of Wand.ai.

What Are Recent G2 Reviews of Wand.ai?