Organizations of every type are racing to use their data better. We all know the importance of analytics and business intelligence (BI) when it comes to successfully operating a company. However, in an age when the number of data sources and data volumes is exploding, it’s essential to make certain that your data is analytics-ready at the beginning of the data pipeline, as opposed to random points where business users may need to use it.
Failing to take a holistic approach to your data pipeline can yield dark, unused data, or worse, it may compel organizations to make critical business decisions based on inaccurate data. This guide provides checklists in eight essential categories to consider as you evaluate your vendor options, and flags potential pitfalls to guard against as you plan your pipeline.
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