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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
Page: 366
ISBN: 032150481X, 9780321504814
Format: pdf

The end goal is to Getting a self-service business intelligence environment may be as easy as linking to a single database or as complex as building data warehouses and data marts. Apr 3, 2014 - PROCESS • ANALYTICS • TECHNOLOGY. €� Common systems infrastructure. Oct 30, 2009 - Agile development is being merged with Business Intelligence to create smaller-scale, rapid-results with analytics applied to corporate data. May 7, 2014 - Supporting the analysts, my team has built a MySQL data warehouse that pulls all the data from our enterprise resource planning software (hereafter ERP; we use Netsuite) with 30-minute latency and exposes those data in a simpler, "People want to move from a culture of reporting to a culture of analytics" - Steffin Harris. Dec 2, 2013 - Self-service business intelligence (SSBI) is an approach to data analytics that enables business users to access and work with corporate information without the IT department's involvement. Jan 25, 2012 - Author Ken Collier explains how to harness Agile techniques in a business intelligence/data warehousing environment in his book Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing. €� Rules-based processes common across business units. 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. You won't regret the time or the money. Business intelligence/data warehousing. According to Ken Collier, “Agile BI” blends the iterative, quick progress of Agile Software Development and a short-run project approach to Business Intelligence using the same steps and measurable results. Taking a business process view for analytics to deliver real business impact .. 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, . While writing SQL is one approach to getting answers, it does not suit all levels of skills and experience. €� More limited interaction required with rest of business. Collier is a senior consultant in business But Agile is about delivering high-value data. A common architectural approach for transactions and analytics Cloud-Based, Real-Time Analytics. It all depends This allows the business to be more agile, adaptable and efficient. Jan 11, 2012 - If you are a data management professional, you should get and read this book ASAP. Sep 21, 2013 - Hadoop has evolved as a heterogeneous enterprise data warehouse for optimized modeling, deployment, and management. €� Significant process transaction volumes. Jul 15, 2011 - Using Agile methods, you can bring far greater innovation, value, and quality to any data warehouse, business intelligence, or analytics project.