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


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



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




Ben Harden, PMP, is a Managing Director in the Data Management and Business Intelligence practice of the Richmond, Virginia based consulting firm CapTech . 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? It all depends This allows the business to be more agile, adaptable and efficient. Apr 22, 2014 - For example, we'll see more BI solutions that automatically alert business leaders to real-time, dramatic shifts in data. Jun 10, 2011 - His latest book, Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing, was named one of the “11 Books to Recharge Your Leadership Skills” by CIO-Insight. 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. Dec 12, 2012 - Meanwhile a wide range of UK institutions and shared services have identified business benefits in analytics and activity data through project work in the Jisc Activity Data, Business Intelligence and Customer Relationship Management programmes. Is this just another Or is there something here that uniquely addresses real operational and strategic issues in the increasingly performance-driven and customer-focused business of higher education? Jul 22, 2013 - For years, the general approach to Business Intelligence has been to create a 'new data structure' that pre-processes data views so that users could instantly access their favored reports and data views without having to wait for computers to are introducing database engines designed to both support operational transactional systems AND provide effective tooling to master analytics WITHOUT needing to create a separate Business Intelligence data warehouse. Mar 7, 2011 - Big, old, traditional BI companies are good at producing technologies that enhance the infrastructure of business intelligence—more and faster—but not the actual use of data in ways that lead to greater intelligence. 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. The end goal is to Getting a self-service business intelligence environment may be as easy as linking to a single database or as complex as building data warehouses and data marts. Nov 5, 2013 - The need for detailed requirements gathering, data quality and cleansing work is paramount in launching any business intelligence project. One potential downside to a subject area or source base approach is trying to implement without strong architectural and modeling guidelines in place. Dec 2, 2013 - Self-service business intelligence (SSBI) is an approach to data analytics that enables business users to access and work with corporate information without the IT department's involvement. Jul 15, 2011 - Using Agile methods, you can bring far greater innovation, value, and quality to any data warehouse, business intelligence, or analytics project. Feb 28, 2012 - Agile methods, the use of a data warehouse (DW), Business Intelligence (BI), or analysis for the project much more innovation, value and quality can bring.