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
ISBN: 032150481X, 9780321504814
Sep 21, 2013 - Hadoop has evolved as a heterogeneous enterprise data warehouse for optimized modeling, deployment, and management. 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, . One potential downside to a subject area or source base approach is trying to implement without strong architectural and modeling guidelines in place. Nov 5, 2013 - How to size the Big Data opportunity within the context of their organization; How to get Big Data technologies to work with cumulative years of investments in traditional business intelligence / data-warehouse technologies; How to execute on the Big Data effort without falling into the trap of approaching it as . Cirro is a 'game-changing' approach to analytics allowing us to ask those questions quickly and gain initial insight and context across all our data silos without ETL build-out or the cost and complexity of a semantic layer. Oct 15, 2013 - A typical approach to address the lack of visualization capabilities within Google Analytics is to export data into Excel and then run some elementary charting. Nov 4, 2013 - “We have built, and continue to build upon, an extremely robust and rapidly evolving BI data ecosystem that drives new initiatives in order to tune and manage the operational and strategic aspects of our online gaming and media business. Or perhaps the lifetime value of customers across a given period? 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 . Ben Harden, PMP, is a Managing Director in the Data Management and Business Intelligence practice of the Richmond, Virginia based consulting firm CapTech . Mar 18, 2014 - For years, many organizations had development shops that leveraged agile methods and practices for development projects other than data projects like business intelligence. 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? Today, agile is For example, an insurance company moved to an agile development process for all business analytics projects, adopting techniques such as paired programming, story walls and test-driven development. This calls for an Agile-based execution approach as well as a cohesive project team that includes both business and IT members under a single team structure. A common architectural approach for transactions and analytics Cloud-Based, Real-Time Analytics. Oct 25, 2011 - What about when you're working in an Agile environment? Nov 1, 2013 - This data trail benefits the consumer of the data and can be harnessed to provide insight into products, trends and sentiments of participants in the social network to identify information with high social value. Emerging technologies such as Big Data, Data Science, and advanced visualization are allowing companies to ingest, process, and visualize information beyond the capabilities of conventional Business Intelligence and Data Warehouse environments. Check out the interview I had with Ken Collier about his book, Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing.