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

Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing by Ken W. Apr 7, 2008 - Agile gels well with the evolutionary approach required for a data warehousing / BI lifecycle. Jul 27, 2010 - There is no standard definition of BI, though IDC New Zealand senior market analyst Louise Francis groups BI into two categories — performance management tools and applications; and the data warehouse platform. It acts as a central repository and Data Warehouse Design Approach. VG- brief comment- agile vs adaptive. Sep 11, 2013 - In Forrester's Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012 survey of 634 BI users and planners, we found that social and mobile data is actually a pretty low priority: We wrote about big data hubs in our report, Deliver On Big Data Potential With A Hub-And-Spoke Architecture, and indeed we think most firms will shift from a data-warehouse-centric approach to one that favors low-cost data hubs. Jan 26, 2011 - Business Intelligence; // Data Warehousing; // Business Analytics Essentially, Agile BI is not intended as a large-scale, program approach to business intelligence and analytics. 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. Nov 5, 2013 - The need for detailed requirements gathering, data quality and cleansing work is paramount in launching any business intelligence 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. €�End-user BI tools are split into two categories: Query, Reporting, Analysis Tools [QRA] being dashboards, production monitoring, ad hoc queries and so on; and Advanced Analytics, predictive analytics such as data mining and statistics,” she says. Jun 14, 2012 - They make enterprise-class analytics making accessible to organizations of almost any size with a multi-tenant Cloud-based approach that offers more scalability and faster time-to-value than traditional solutions like SAP Business Objects. Collier Agile Analytics: A Value-Driven Approach to Business Intelligence download. Jan 8, 2012 - With "Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing: Delivering the Promise of Business Intelligence" Ken Collier introduces agile methodology to BI projects. Bill Inmon is sometimes also referred to as the "father of data warehousing"; his design methodology is based on a top-down approach and defines data warehouse in these terms. 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. Jun 24, 2013 - The purpose of the Data Warehouse in the overall Business Intelligence Architecture is to integrate corporate data from different heterogeneous data sources in order to facilitate historical and trend analysis reporting.