The Definitive Guide to Self-Service Data

March 17, 2020

Traditional IT tools designed to support business unit data requests have not kept pace with the growth of new data sources, which arrive in ever-increasing volumes and formats. Self-service data with Boomi Data Catalog and Preparation can simplify data access and accelerate insights.

The age of self-service data is upon us. Business leaders will no longer accept weeks of delay from hypothesis to answers. It’s not sufficient to report on what happened; business leadership wants prompt answers as to why something happened. And they want to know what else could happen, and when.

Answering these questions requires fast access to high-quality data and the means to derive insights quickly and easily from that data.

Highly paid data scientists spend 80 percent of their time discovering and “prepping” data before they can run their models on the data. This is incredibly inefficient, and the inherent delay from hypothesis to insight costs businesses billions each year.

Traditional IT tools designed to support business unit data requests have not kept pace with the growth of new data sources, many of which are semi-structured in nature and produce data in far greater volumes than ever before. Plus, a decline in IT operational budgets has left many organizations unable to support the needs of the business from a data and analytics perspective.

Self-service data has evolved from dozens of software startups and a few large, forward-thinking incumbents. As a result, hundreds of tools now exist that address a specific pain point in the self-service data pipeline. The challenge has become managing this unwieldy “Frankenstein” data environment created, ironically, with the intent of simplifying the data access and insight needs of business users.

Read this eBook to find out how you can simplify data access and accelerate business insights across your enterprise. 

 

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