Agile Analytics: A Value-Driven Approach to

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
Publisher: Addison-Wesley
Page: 366
Format: pdf

Jun 10, 2011 - His latest book, Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing, was named one of the “11 Books to Recharge Your Leadership Skills” by CIO-Insight. Jul 2, 2013 - Based upon my experience, I can name at least nine data components that need testing and validation in a business intelligence project. Oct 23, 2012 - WhereScape, a Teradata partner since 2006 and provider of agile development software for building and extending data warehouses, announced today that Delta Community Credit Union has purchased WhereScape RED empowering our resource-constrained development team to tackle a large implementation that will enable us to quickly deliver value to our institution and members,” said Delta Community Director of Business Intelligence Services Su Rayburn. See the book The Analytical Puzzle: Profitable Data Warehousing, Business Intelligence and Analytics (ISBN 978-1935504207) for details. Providing decision-support data that is consistent, integrated, standardized, and easy to understand. 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, . 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. Figure 1 Business Intelligence & Analytic Data Components. Jan 4, 2007 - How to turn data into information. This new survey-based research Professionals must shift development and deployment approaches so that systems are responsive to agile business needs and oriented toward providing self-service functionality to free users from dependence on IT. Jan 4, 2013 - The information that flows from BI, analytics, and data warehousing systems can help organizations find the right decision-making balance that avoids the extremes of snap decisions and rigid processes. 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. Apr 7, 2008 - Agile gels well with the evolutionary approach required for a data warehousing / BI lifecycle. 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. 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. On the other hand, when the business users control their own data and BI, they can be much more agile and thus able to glean more value from their data, faster.