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

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


Agile.Analytics.A.Value.Driven.Approach.to.Business.Intelligence.and.Data.Warehousing..pdf
ISBN: 032150481X,9780321504814 | 366 pages | 10 Mb


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




Collier Agile Analytics: A Value-Driven Approach to Business Intelligence download. Dec 18, 2013 - Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing by Ken W. Jan 19, 2013 - S6A Agile Analytics: Value-Driven Data Warehousing and Business Intelligence · Ken Collier, Ph.D. Still, it's worth noting the cloud BI option? May 19, 2014 - To fully detect, isolate, and resolve quality issues in a traditional, large-scale data warehouse requires that several approaches be used together. Cirro is a 'game-changing' approach to analytics allowing us to ask those questions quickly and gain initial insight and context across all our data silos without ETL build-out or the cost and complexity of a semantic layer. Jan 25, 2012 - Author Ken Collier explains how to harness Agile techniques in a business intelligence/data warehousing environment in his book Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing. See the book The Analytical Puzzle: Profitable Data Warehousing, Business Intelligence and Analytics (ISBN 978-1935504207) for details. Nov 4, 2013 - “We have built, and continue to build upon, an extremely robust and rapidly evolving BI data ecosystem that drives new initiatives in order to tune and manage the operational and strategic aspects of our online gaming and media business. Oct 7, 2011 - The Best People in Data Warehousing and Business Intelligence Agile Business Intelligence principles are based on its cornerstone of small, quick iterations focusing on value at each cycle and building quality solutions in a time-boxed way, seems to be the right fit to deliver information management Team problems adopting the approach where they think they are doing the right thing but for some reason they cannot tell why Agile is still not working for them. Jan 4, 2007 - How to turn data into information. Pentaho's modern, simplified and interactive approach empowers business users to access, Utilizing Pentaho's Agile BI approach, Pentaho Data Integration unifies the ETL, modeling and visualization processes into a single, integrated environment that enables developers and end-users to work seamlessly together. Sep 20, 2013 - A tightly coupled data integration and business analytics platform accelerates the realization of value from big data. The key is to take a risk-based approach. Oct 15, 2013 - A typical approach to address the lack of visualization capabilities within Google Analytics is to export data into Excel and then run some elementary charting. May 19, 2014 - But it's not a case of either/or: the majority of those who've either already adopted cloud BI or are intending to do so are using the SaaS system to complement their existing BI and analytics capabilities. Because restaurant chains are so operations-driven, and because BI is so central to helping them run their businesses, they are among the elite group of companies across all industries that are actually getting real value from these Business Intelligence Versus Business Analytics What s the Difference Amazon and Yahoo aren't just e-commerce sites; they are extremely analytical and follow a "test and learn" approach to business changes. From a data warehousing perspective, Amazon Redshift has really opened up the possibilities and a new breed of analytics providers is disrupting the old guard. Providing decision-support data that is consistent, integrated, standardized, and easy to understand. Or perhaps the lifetime value of customers across a given period?