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

Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing Ken W. Collier ebook
Publisher: Addison-Wesley
Format: pdf
Page: 366
ISBN: 032150481X, 9780321504814

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. Feb 10, 2012 - Talend is an open source software vendor that offers open source data warehouse tools and ETL tools that support modeling, design, development, ETL testing, and deployment, all through an intuitive Eclipse-based development environment. Aug 17, 2013 - In your choice for a BI and Data warehouse applications and a comparison of vendors it is important to know what the goal is for your BI Data Warehouse. 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. 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. May 18, 2011 - As a CxO you know that your Business Intelligence costs are mainly driven by these 4 areas: License acquisition costs While Agile BI can immediately imply faster deployment of the BI solution (#3 above), in Pentaho we add value in all the 4 areas. Talend's data Our agile approach provides organizations with breakthrough insights and powerful data visualizations to rapidly analyse multiple aspects of their business in perspectives that matter most. 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. Here is how: Consolidation of licenses: Any BI implementation requires some form of Data Integration, Data Warehousing/Data Mart development, and Data Visualization (Reports, Analysis, and Dashboards). There is first the difference in Both propose Star Schema Datamarts, business driven incremental development involving prototyping iterations (Agile) and report/query delivery from relational databases directly or via OLAP data repositories such as n-dimensional cubes.