Overview

There’s a better way to solve your data problems.
A data fabric.

The growing data landscape combined with the distribution of data across hybrid & multi cloud demands a new approach to how we manage and access data.

Ultimately the goal is to connect the right data, at the right time, to the right people, from anywhere rather than to collect all data in one place or to connect each data source or application to one another.

This doesn’t mean a pendulum swing to everything de-centralized - it is a balance between what needs to be logically or physically de-centralized and what needs to be centralized (e.g., you can have multiple catalogs but there can only be one source of truth for the global catalog).

This solution is a data fabric.

A data fabric is not a single product nor a single technology. Data Fabric is foremost an emerging data management concept and architecture, which through utilization of advanced technology accelerates data delivery & access to data.

There are certain characteristics that a data fabric architecture needs to exhibit in order achieve this:

Value delivered by connecting the right people with the right data at the right time with a data fabric

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Why Data Fabric

Sales

Rapidly respond to changing client needs to win 6.6X opportunities.

Marketing

Discover fast changing customer behavior for 17% increase in purchase consideration.

Finance

Set reliable forecasts in volatile conditions for 90%+ improvement in time to decision.

HR

Attract and retain top talent by engaging 600+ applicants a month.

IT

Innovate and modernize apps and infrastructure for 25% more time to focus on strategic projects.

Operations

Continuously improve automated processes for 8x faster speed-to-insight.

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IBM's Data Fabric Approach

IBM’s approach to a data fabric addresses business and technical user data pain points for technical teams

Decreased effort to maintain data qualitystandards due to fewer data version and the ability to detect and remediate data quality issues.

Reduced infrastructure and storage cost(consolidated data management tools and reduction in data copies).

Faster and simplified data delivery processesdue to flexibility and advance optimization of data flows

Reduction in efforts for data access managementwith automated global policy enforcement.

IBM’s approach to a data fabric addresses business and technical user data pain points for business users

Gaining faster and more accurate insightsdue to easy access to high quality data.

Ability to focus time on analyzingrather than finding, preparing data.

Avoidance of biased analysisdue to data restrictions.

Increased compliance and securitydespite full analytics utilization.

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Data Fabric Use Cases

Learn about our use cases

Customer
360

Provide comprehensive view of customer by integrating data across domains.

Data governance and privacy

Automate data governance and privacy to enable data trust, protection, security and compliance.

Multi-cloud data integration

Integrate data across hybrid cloud to accelerate time to value by democratizing data for AI, business intelligence, and applications.