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




Dec 29, 2013 - In my opinion, it points back to visual analytics, dedicated teams of business analysts with clear missions and good data management and warehouse practices with an agile approach, so that major misses can be caught, reviewed and corrected mid-course. 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. Ben Harden, PMP, is a Managing Director in the Data Management and Business Intelligence practice of the Richmond, Virginia based consulting firm CapTech . The key is to take a risk-based approach. 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. Still, it's worth noting the cloud BI option? 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. One potential downside to a subject area or source base approach is trying to implement without strong architectural and modeling guidelines in place. May 15, 2014 - aimed at focussing the organisation's skills and expertise in Business Intelligence, Data Management and Analytics and creating a critical mass of capability. Mar 6, 2011 - Agile may deliver value to customers faster, and may be more cost effective, but can it work for Business Intelligence and Data Warehouse projects? While I found it interesting, there's a lack of rigor in the analysis that is a common problem when using surveys at many companies- misinterpreting trends from surveys based on small sample sizes. 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.