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




May 7, 2012 - Traditional approaches to BI cannot deliver solutions and reporting fast enough in this era of hyper-competitiveness. Nov 22, 2012 - Agile analytics : a value-driven approach to business intelligence and data warehousing Collier's techniques offer optimal value whether your projects involve “back-end” data management, “front-end” business analysis, or both. It also often requires setting realistic goals, rolling out functionality in a phased approach, and evangelizing and selling the organization on the value of BI, DW, DM, and analytics at every opportunity. Figure 1 Business Intelligence & Analytic Data Components. Feb 5, 2014 - Once a year, TDWI collects award applications, judges them, and gives awards in eleven categories in data warehousing, business intelligence, and data management. Companies spend a lot of time modeling data, and that's precisely what IT team does very well. Aug 27, 2012 - Advanced analytics, Agile BI, Big Data, Business intelligence, Conference, Data quality, Data warehousing Last week I presented a paper on the Impact of Big Data on Data Warehousing at the ARK Group's conference on Revolutionising the Data Warehouse and Business Analytics, which was held in Melbourne. In this This is such an important topic as the value of BI to the business is so often questioned – especially for older, more cumbersome and inefficient implementations. While writing SQL is one approach to getting answers, it does not suit all levels of skills and experience. It's that time of year again, so get your award . 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. May 7, 2014 - Supporting the analysts, my team has built a MySQL data warehouse that pulls all the data from our enterprise resource planning software (hereafter ERP; we use Netsuite) with 30-minute latency and exposes those data in a simpler, "People want to move from a culture of reporting to a culture of analytics" - Steffin Harris.