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

Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing


Agile.Analytics.A.Value.Driven.Approach.to.Business.Intelligence.and.Data.Warehousing..pdf
ISBN: 032150481X,9780321504814 | 366 pages | 10 Mb


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




Ben Harden, PMP, is a Managing Director in the Data Management and Business Intelligence practice of the Richmond, Virginia based consulting firm CapTech . Dec 18, 2013 - Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. 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. Recent 2013 predictions report entitled Predicts 2013: Business Intelligence and Analytics Need to Scale Up to Support Explosive Growth in Data Sources, predicted that by 2015, more than 30% of analytics projects will deliver insights based on structured and unstructured data. 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? 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 - The need for detailed requirements gathering, data quality and cleansing work is paramount in launching any business intelligence project. Feb 14, 2013 - In reading through the Gartner report, 2013 Magic Quadrant for Business Intelligence, there is no question that unstructured data is becoming a hot button for business and IT leaders alike. 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. 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? 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. Feb 28, 2013 - Unique to Birst is its powerful, integrated approach to business analytics, which automates many of the traditional steps common to business intelligence solutions. 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.