This article will simplify the architectural building blocks that unite data for decision making.
Understanding the technological architecture necessary to enable analytics is a daunting process for mid-sized companies. The marketing noise around “Business Intelligence” and “Big Data” has created confusion for managers. Having attended several conferences in the past few weeks, I found myself drawing diagrams to explain the structured and unstructured data architecture to frustrated executives. A company’s data architecture describes how data is collected, stored, transformed, distributed, and consumed. The purpose of this article is to share a simplified version of this architecture and explain how the components work together to support managerial decisions.