Analytics - Overview

Overview

A new data-driven architecture that puts AI to work

To thrive in this age of the unexpected, companies must leverage data, AI and maching learning (ML) 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 to become truly data-driven and put AI to work – a data fabric. 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.

Solutions

Provide access with data fabric

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

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Promote agility with data management

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

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Predict outcomes with business analytics

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

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Personalize experiences with customer care

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

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IBM Watson. AI built for business.

A leader in AI for business, the Watson portfolio includes business-ready tools and applications designed to reduce the costs and hurdles of AI adoption while optimizing outcomes.

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Client stories

ING carries out data fabric mission

ING’s Ferd Scheepers shares his vision of using data fabric in a hybrid cloud environment. Try it for yourself.

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Marriott uses data and AI to create unparalleled customer experiences

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

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The Shift: How Royal Bank of Scotland (now NatWest Group) and IBM made home buying easier

Royal Bank of Scotland (now NatWest Group) makes home buying easier

Royal Bank of Scotland (now NatWest Group) uses an AI platform to ensure the agent has the most accurate information in real time to help make the homebuying process easier and improve customer satisfaction.

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Worker with headset looking at four large monitors

Ancestry achieves faster planning, reporting and forecasting

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

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Data and AI-driven analytics