Make data simple and accessible: Increase the value of your data with a Data Fabric Solution

In today’s challenging and competitive environment, having a modern data architecture solution is essential for meeting the specialized needs of you business. A Data Fabric Solution delivers instant benefits to your organization!

Did you know that 68% of enterprise data is not being used for decision making?¹


What is a Data Fabric?

Data Fabric is an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments by using intelligent and automated data management capabilities. It is a powerful architecture that standardizes data management practices across the organization. It allows users to monitor and manage their data and applications 24x7x365, regardless of where they reside.

A Data Fabric allows organizations to make use of their data in the most effective way  in order to make decisions based on facts and up-to-date information. It definitely represents a competitive advantage for the organization!

This solution facilitates the automation of data discovery, governance and consumption.

See the video to learn more about a Data Fabric

Capabilities of a Data Fabric

It is a marketplace to find, collaborate, get access to data (this could also include a feature store, or popular queries, etc.) and ability to query data anywhere. Business users need to have self-service access to quality data so that they can make the most out of it, having the minimum support from IT.

The intelligent catalog is infused with machine learning and AI to get a good data quality, metadata across your organization, an also to be able to search for relevant assets required for your analysis.

To avoid moving data unnecessarily you need to have an effective pipeline to access your data. With a range of integration styles to extract, ingest, stream, virtualize, and transform data, driven by data policies to maximize performance while minimizing storage and egress costs, and ability to train models without copying data (e.g., vertical federated learning).

It is important to have an unified definition and enforcement of data policies tied to the other layers (i.e., associate policies with data, control access, etc.), data governance, data quality and data stewardship.

It is necessary to define an end-to-end lifecycle to compose, build, test, deploy, and manage the various aspects of the data fabric (e.g., compose, deploy, and manage a data pipeline).

Business Benefits

A Data Fabric allows to automate data engineering tasks and augment data integration across hybrid cloud resources. It aims to address the data challenges arising out of a hybrid data landscape.

As part of a modern data management approach, a robust governance and privacy capability helps organizations thrive in the midst of growing data volume. With an integrated data governance layer in the Data Fabric architecture you will be able to shape behavior around data quality, privacy, security and management.

This solution automatically enriches discovered data assets with knowledge and semantics, allowing consumers to find
and understand the data.

A Data Fabric allows to identify challenges and opportunities to speed up and improve decision making, base on accurate data  applications

The self-service capability of the Data Fabric architecture enables the reduction of data bottlenecks resulting in greater productivity, enabling business users to make faster business decisions.


To deploy a Data Fabric solution, IBM offers an insight platform that simplifies and automates data collection, organization and analysis of data and accelerates the infusion of AI throughout your business. The IBM Cloud Pak for Data platform includes capabilities to connect data everywhere; run workloads anywhere; and to build, deploy and manage AI at scale in hybrid cloud environments.

IBM Cloud Pak for Data helps companies modernize how they collect, organize and analyze data to infuse AI. This technology serves as a unified, hybrid-cloud data and AI platform which helps improve productivity and reduce complexity.

Ultimately a Data Fabric helps to transform and modernize the organization by maximizing the use of one of its most valuable assets: data. 

Uses of Data Fabrics:

By integrating across various data sources, companies and their data scientists can create a holistic view of their customers. It can be used to:

  • Simplify data governance processes
  • Get to know your customers better
  • Implement a better customer experience
  • Increase product innovation
  • Detect frauds
  • Analyze preventative maintenance
  • Deploy predictive maintenance
  • Improve production quality
  • Implement return-to-work risk models
  • Etc.



¹ Rethink Data: Put More of Your Business Data to Work – From Edge to Cloud (PDF, 8.3 MB, link resides outside, Seagate Technology, July 2020.







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