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




Apr 17, 2012 - Agile provides a streamlined framework for building business intelligence/data warehousing (BIDW) applications that regularly delivers faster results using just a quarter of the developer hours of a traditional waterfall approach. Jan 21, 2014 - For instance, self-service BI brings analytics to the hands of anyone who needs to access BI by making solutions more interactive and user friendly. BI teams that have taken a hands-off approach to visual data discovery tools need to support data provisioning and best practices; conversely, users who have relied on IT for every last sort, filter, and customization will need to Tip: Just because users aren't asking for mobile BI doesn't mean there is no business value. Jan 17, 2014 - Methodologies: PMI's PMBOK (ANSI/PMI 08-004-2008), Agile (Scrum), and Microsoft Sure Step Most recently, Vincent launched Data Science Central, the leading social network for big data, business analytics, and data science practitioners. One potential downside to a subject area or source base approach is trying to implement without strong architectural and modeling guidelines in place. Jan 16, 2014 - Both the specialty vendors and the heavy weights — are trying to find the balance between agile yet trusted data — user driven but IT controlled. We've seen Agile cut project costs in half Organisations will embrace the Agile approach, utilising new tools and technologies to decrease delivery times and demonstrate substantial business value. Huge range of access points, applications, workloads, and data sources for any future Hadoop data warehouse demands an architectural flexibility that traditional data warehouses, with their operational business intelligence (BI) focus, . Sep 21, 2013 - Hadoop has evolved as a heterogeneous enterprise data warehouse for optimized modeling, deployment, and management. Ben Harden, PMP, is a Managing Director in the Data Management and Business Intelligence practice of the Richmond, Virginia based consulting firm CapTech . A common architectural approach for transactions and analytics Cloud-Based, Real-Time Analytics. 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?