Struggling to craft a clear roadmap for your data warehouse development? This article guides you through the process of managing the DWH development.
"Developing a data warehouse for the first time is not easy for any business. This initiative's complexity makes it quite challenging, especially for an in-house team that has never handled such a project before.
In this article, we take a look at the steps involved in managing data warehouse development and implementation..."
For the next 3 installments in his complete series on delivering value through data, Rich Peters walks you step-wise through creation of a comprehensive data strategy
"This is the third in a series of what will be at least eight articles on how to deliver business value through data. In the previous article in this series, I showed you how to create your Data Vision Statement, which communicates why you care about your data, and your Data Mission Statement, which lays out what you are going to accomplish, at a high level. Now it is time to turn to creating your Data Strategy.
This article explains how to define your data strategy's key objectives and capabilities. This will be followed by the Data Strategy Assessment, and after that, how to create a Data Strategy Roadmap, which is all about how to execute your data strategy, including prioritization, dependencies, and costs..."
Big data and machine learning are a powerful analytics pairing. Here's an explanation of the difference between them and how they can be used together
"Data is at the heart of the modern enterprise, helping organizations to better understand their customers, make better business decisions, improve business processes, track inventory, monitor competitors and take other steps to successfully run their operations. But over the past two decades, many organizations have had to get a better grasp on how to handle the increasing amounts and different forms of data -- i.e., big data -- that they're now creating and collecting..."
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