Top 10 Requirements for Modern Data Integration
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By Tim King , Executive Editor at Solutions Review
- Best Practices, Presentations,

Check out this presentation, courtesy of Viakom Krishna, VP of Engineering at SnapLogic. Data Integration is changing, and enterprises are collecting data from more sources than legacy solutions can deal with. As a result, the market has evolved, and software tools are having to change with the times.
Prior to this evolution, integration tools remained in the hands of IT departments. However, this can no longer be the case. End-users need to tools they can utilize on-demand, helping them migrate data from disparate sources to gain a single unified view. In this way, Data Integration tools should be flexible, enabling business analysts self-service functionality.
In this slideshow, the Data Integration experts themselves explain ten requirements that modern tools must posses. As you might guess, many of these requirements involve providing users the autonomy they need to answer questions when they see fit, not just when the IT department needs a question answered.
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This article was written by Tim King on July 13, 2016
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Tim King
Executive Editor
Tim is Solutions Review's Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.
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