Notwithstanding the requirement of using data to drive the applications, data governance is absolutely required. In a broad sense, data governance controls data entry by a person or another system (e.g., sensor, video surveillance) such that the data conforms to precise standards such as a business rule, data definitions, dimensions and integrity. The benefit of governance in today’s environment is that it enables broader access and easy to use applications that support different levels of use in an intuitive way.
One of the historical problems of Business Intelligence solutions was the inability to access data easily. Inhibiting the delivery of information to a decision maker in an appropriate format were accessing data in different silos and having to use application and tools designed for data analysts. As a result, a demand for trusted, easy to use, and interactive applications caused a shift in the market.
Today, governed self-service access to analytical applications exists, giving organizations the power of information insight through broader access to self-service applications. The more people who can access the data they need in a way they can interact with, the higher the overall value proposition. Having trusted, reliable data that is easy to interact with will facilitate access to data for everyone. In the right context, that data provides powerful insight into what is happening right now, potential gaps that exist in performance or customer engagement, as well as other ways to make things better.
The reality is that self-service access that is trusted can no longer be overlooked. Businesses need analytical insight to remain competitive and the only way to do so effectively is through governed self-service access.