A Tale of Two Analysts – Data Catalogs Unlock the Power of Modern Analytics
Today’s business and data analysts often lack visibility into the datasets, the contents of those datasets, and the quality and usefulness of each. As a result, they spend too much time finding data, understanding data, and recreating datasets that already exist. In the worst-case scenario, they work with inadequate and poorly understood datasets and produce inadequate and incorrect analysis.
The value and benefits of data cataloging are often described as the ability for analysts to find data quickly and efficiently. Without cataloging, analysts can spend 80% of their time finding and preparing data and only 20% obtaining insights. The data catalog reverses this to 20% preparation and 80% analysis.
This Eckerson group paper illustrates the impact of data catalogs for self-service data analysis. It contrasts analysis processes with and without a data catalog, using a scenario-based framework to illustrate the processes, activities, and timelines of analysis with each approach.
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