In an advancing age of improved data analysis, more and more enterprises are adopting business intelligence and analytics tools to benefit the company. Despite the variety of the sectors involved, all of these companies have a single common goal to use business intelligence software to transform data into actionable insights and competitive initiatives.

As the primary competitive advantage, data analysis should deliver an increased understanding of the factors that shape markets, influence businesses, and help companies to act on that knowledge. Ultimately, the hope is to be able to outmaneuver and outsell competitors, while proactively addressing customer needs.

With business intelligence and data analytics becoming the go-to approaches for enterprises, many companies are choosing to invest in developing their own data warehouse, commonly talked about as a data lake. In order to generate valuable insights from deep data analysis, enterprises need to have a reliable data warehouse as the foundation.

Today, a data warehouse is used to do more than just integrating data from multiple sources for better, more accurate analysis. A data warehouse must also be reliable, traceable, secure, and efficient at the same time. It needs to offer these advantages to differentiate itself from a simple database, especially in business intelligence.

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Best Practices for Enterprise Data Warehouse Governance
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