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To help the reader understand the ongoing evolution of data management—in response to new requirements around big data and analytics—this report provides a checklist of data management practice areas that are most affected. In addition, the report relates new practices to existing ones, indicating when to use which one.
This Checklist Report discusses what your enterprise should consider before diving into a data lake project, no matter if it’s your first or second or even third major data lake project. Presumably, adherence to these principles will become second nature to the data lake team and they will even improve upon them at some point.
This Checklist offers seven best practices for formulating a strategy to derive and deliver actionable customer intelligence. The practices are aimed at helping organizations turn their increasingly voluminous data riches into competitive business advantage.
Download this report to learn about the emerging technologies and methods (ETMs) that apply to business intelligence, analytics, and data warehousing. Discover how ETMs can support innovation in business processes, customer management, competitiveness, IT best practices, and the business leverage of data.
To help readers succeed in their cloud data warehousing projects, this checklist identifies the benefits the cloud offers, offers potential use cases, and presents key criteria for using and choosing a cloud solution for data warehousing.
Download this report to examine how visual analytics fits with this and other important goals and trends that are enabling organizations to realize higher value from their data.
Our objective in this Checklist Report is to share best practices that will position the reader to take advantage of a cloud-based data warehousing solution.
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