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

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, . Oct 30, 2012 - Recently I read the book “Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing” by Ken Collier. 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. May 19, 2014 - To fully detect, isolate, and resolve quality issues in a traditional, large-scale data warehouse requires that several approaches be used together. Because restaurant chains are so operations-driven, and because BI is so central to helping them run their businesses, they are among the elite group of companies across all industries that are actually getting real value from these Business Intelligence Versus Business Analytics What s the Difference Amazon and Yahoo aren't just e-commerce sites; they are extremely analytical and follow a "test and learn" approach to business changes. Sep 21, 2013 - Hadoop has evolved as a heterogeneous enterprise data warehouse for optimized modeling, deployment, and management. A common architectural approach for transactions and analytics Cloud-Based, Real-Time Analytics. May 7, 2012 - Traditional approaches to BI cannot deliver solutions and reporting fast enough in this era of hyper-competitiveness. 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. 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. May 19, 2014 - Ben Harden, PMP, is a Managing Director in the Data Management and Business Intelligence practice of the Richmond, Virginia based consulting firm CapTech . Companies spend a lot of time modeling data, and that's precisely what IT team does very well. Oct 2, 2011 - Ebook download, Ebook Review, Book Description Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or. 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? 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. Jul 15, 2011 - Using Agile methods, you can bring far greater innovation, value, and quality to any data warehouse, business intelligence, or analytics project. 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. Jan 4, 2007 - How to turn data into information.