The Evolution of Self-Service Analytics through Data Blending: Delivering Deeper Business Insight Faster 

The growth in volume and the types of data that organizations collect has driven the evolution of self-service analytics.  As a result, an analyst can no longer rely on just a single source of data to deliver the business insight they need.  To get the most comprehensive insight, an analyst must utilize all available data, and this is where the ability to integrate self-service data blending into an analytical environment can pay dividends across the board. Data analysts can develop their own specialized datasets for specific analytical tasks. Centralized IT resources can be freed from building non-directional transformations and, instead, focus on providing value-added services. Analytical processes can also be improved significantly.

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