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Create a Successful Data Fabric for Your Enterprise

If 2020, the year of the pandemic, taught us anything, it was that change happens, and it happens suddenly and with significant impact to every aspect of our world. 2020 also taught us that, to counter these seismic changes, our enterprises must be agile. They must be able to change their entire set of objectives and goals, along with supporting operating processes and decision-making capabilities almost overnight.

For decision-making, agility comes from the ability for business users to find and use analytical data and analytical assets for the many decisions, strategic and tactical, that must be made every day. Unfettered access to analytical data comes in the shape of a data fabric. Data fabric is a new term for an old idea, an all-encompassing analytic architecture that is understood and accessed, implemented and maintained, and ensures that all analytic data can flow throughout the entire enterprise.

A tall order but, thankfully, with the advances in data management, storage, analysis, and access technologies, creating a data fabric is not only possible, but it has become mandatory for enterprises in today’s post-pandemic marketplaces.

This document begins by defining what a data fabric is, along with its benefits. The extended analytics architecture (XAA) is used to illustrate the analytical components within the fabric. That is followed by a diagram of how data must flow (either physical or virtual) from one component to another, thus supporting access to and creating the ultimate analytical assets.

The next section presents the set of processes or capabilities needed to give the user a rational way to access the environment, understand and create needed analytical assets, and the ability to decide with confidence. Within each process, the technological functionality needed to create and maintain a functioning data fabric environment is discussed.

The last section of the paper discusses things to think about when implementing a data fabric for all analytical needs. Using the proper set of technology can mitigate, if not eliminate, many of these challenges.

Data industry thought leader, visionary, and practitioner, Claudia Imhoff, Ph.D., has authored this insightful paper that presents her views on creating a successful Data Fabric.

This document begins by defining what a data fabric is, along with its benefits. The next section walks the reader through the set of processes or capabilities needed to give the user a sane and rational way to access the environment, understand and create needed analytical assets, and the ability to quickly make decisions with confidence. Within each process, the technological functionality needed to create and maintain a fully functioning data fabric environment is discussed.

The last section of the paper discusses things to think about when implementing a data fabric for all analytical needs. Using the proper set of technology can mitigate, if not eliminate, many of these challenges.

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