Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing by Ken W. Collier

Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing



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Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing Ken W. Collier ebook
ISBN: 032150481X, 9780321504814
Page: 366
Format: pdf
Publisher: Addison-Wesley


Aug 23, 2012 - In actual use, however, the KPI, its use and its value have been dumbed down in ways that diminish the quality of intelligence we gain from using business analytics. SAP Lumira delivers agile visualizations for business analysts to uncover more insight from their data – big and small – in SAP HANA and contribute new information. Every business intelligence (BI) feature imaginable? Oct 17, 2013 - The other day the TDWI (the Data Warehouse Institute) sent me a brochure highlighting Agile BI workshops and seminars. "One thing we do not yet know how to do well is agility," Boris Evelson told me at the recent Forrester IT Forum in Las Vegas. Jul 2, 2013 - Based upon my experience, I can name at least nine data components that need testing and validation in a business intelligence project. Jun 7, 2011 - Petabyte data warehouse? Jul 15, 2011 - Using Agile methods, you can bring far greater innovation, value, and quality to any data warehouse, business intelligence, or analytics project. Figure 1 Business Intelligence & Analytic Data Components. Nov 11, 2013 - While other vendors look to consolidate and lock in their stacks, SAP takes an open approach to innovation and allows a wide variety of partners to build and deliver solutions – including analytics – on SAP HANA. " A good example of this is Tableau (which markets itself as "visual analytics for everyone"). Evelson, a principal Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing[/A], is now available on Safari (rough-cut) and will be on shelves in July. Scalable to thousands of users? Here's how they Ongoing scoping, rapid iterations that deliver working components, evolving requirements, scrum sessions, frequent and thorough testing, and business/development communication are important facets of a formal agile approach.