Analytics tools and solutions
Optimize your data strategy with an architectural approach that supports data-driven decisions for your business
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A new data-driven architecture

To thrive in this age of the unexpected, companies must leverage data to create customer loyalty, automate business processes, and innovate future ideas. But, the demand for data has outpaced our ability to solve our existing data problems, the copy and paste method has only made things worse.

Companies need a new architecture—a data fabric—to become truly data-driven and put AI to work. With a data fabric approach, companies can connect the right people, to the right data, at the right time to promote agility, predict outcomes, and personalize experiences.

  • Business analytics: Business analytics helps you make confident data-driven decisions informed by real-time insights, forecasts, data analytics, and BI to drive business outcomes.
  • Data science and analytics: AI is quickly becoming a critical strategic component for organizations across industries to hasten the delivery of innovative products and services, meet customers expectations, reduce risk and fraud, and to drive revenue growth. Automated, supported analytic tools streamline processes, eliminates costly errors and saves time for data scientists, analysts and line of business owners.
  • Text analytics:  By investing in text analytics businesses can empower their experts to dedicate more time on creating value for their stakeholders and less time on cumbersome business processes.


Meet watsonx

Multiply the power of AI for your enterprise with IBM’s next-generation AI and data platform

IBM named a Leader in The Forrester Wave™: Data Management for Analytics, Q1 2023


Provide access with data fabric

Understand how this emerging data strategy and architecture simplifies data access for self-service while ensuring governance and privacy.

Promote agility with data management

Improve cost performance and productivity with unparalleled scale and resiliency through end-to-end data management.

Predict outcomes with business analytics

Empower business users with AI-driven self-service analytics to predict and shape future outcomes.

Customize experience with customer care

Strengthen customer relationships through any channel with more accurate and concise answers to inquiries in any language.

IBM recognized as a leader for enterprise data fabric solutions. See why in The Forrester Wave™ : Enterprise Data Fabric, Q2 2022


IBM® Business Analytics Enterprise Single point of entry for business planning and analysis for faster data driven decisions. Learn more IBM Planning Analytics with Watson

Discover how you can streamline and integrate financial and operational planning across the enterprise.

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IBM Cognos® Analytics with Watson

Know your trusted Watson co-pilot for smarter analytics and confident decisions.

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Better predictions and analytic outcomes Drive more accurate and explainable AI. Reduce costly errors and time spent by using automated tools and processes to access data, build, deploy and monitor models.   IBM Watson® Studio

Build and scale trusted AI on any cloud. Automate the AI lifecycle for ModelOps.

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IBM SPSS® Statistics

Uncover data insights that can help solve business and research problems.

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IBM InfoSphere® Optim™

Manage data from requirements through retirement to improve business agility while reducing costs.

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IBM ILOG® CPLEX® Optimizer

Optimize a high-performance solver for linear, mixed-integer, and quadratic programming.

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Let’s dig less, yet discover more Reduce the time experts spend on searching for answers from a vast volume and variety of natural language information sources to make decisions. IBM Watson Discovery

Accelerate business decisions and processes by applying natural-language, AI-powered content analysis to discover answers and insights faster.

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Connect the data to the right people Predict outcomes faster using a platform built with data fabric architecture. IBM Cloud Pak® for Data

Collect, organize and analyze data, no matter where it resides.

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IBM InfoSphere® Information Server

Meet your unique requirements, from data integration to data quality and governance.

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IBM Netezza® Performance Server

Achieve simplicity, scalability, speed, and sophistication, all deployable as a service, on cloud and on premises.

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Case studies

ING’s Ferd Scheepers shares his vision of using data fabric in a hybrid cloud environment. Try it for yourself. Watch the video (1:45)

Marriott aggregates and analyzes data and uses real-time insights to deliver more personalized customer experiences that enhance their value to the customer. Find out how

Royal Bank of Scotland uses an AI platform to ensure the agent has the most accurate information in real time to help make the home buying process easier and improve customer satisfaction. Watch the video (2:34)

Ancestry turns to IBM Planning Analytics with Watson, IBM Cognos Analytics and IBM Watson to unlock real-time financial insights. Read the blog


Data-driven and AI analytics resources What is business intelligence?

Analyze business data to gain actionable insights and inform decision making.

What is data science?

Learn how data science can unlock business insights, accelerate digital transformation and enable data-driven decision making.

What is a data architecture?

Discover what a data architecture is and the components available to implement one.

What is a data fabric?

Learn how data fabrics orchestrate data intelligently across a distributed landscape, surfacing it for data consumers

Next steps
Explore IBM Cloud Pak for Data

Collect, organize and analyze data no matter where it resides with IBM Cloud Pak for Data

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IBM Data Science and AI Elite

Kick-start your project with the IBM Data and AI Elite team

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