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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




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




Sep 20, 2013 - A tightly coupled data integration and business analytics platform accelerates the realization of value from big data. 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. Every business intelligence (BI) feature imaginable? 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. 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. 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. Sep 26, 2013 - Many teams who follow this approach end up building massive data warehouses that can take months – or years – to complete before anything is delivered to the end-users. 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. Evelson, a principal Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing[/A], is now available on Safari (rough-cut) and will be on shelves in July. 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. Jun 7, 2011 - Petabyte data warehouse? Pentaho's modern, simplified and interactive approach empowers business users to access, Utilizing Pentaho's Agile BI approach, Pentaho Data Integration unifies the ETL, modeling and visualization processes into a single, integrated environment that enables developers and end-users to work seamlessly together. 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 . Nov 22, 2012 - Agile analytics : a value-driven approach to business intelligence and data warehousing Collier's techniques offer optimal value whether your projects involve “back-end” data management, “front-end” business analysis, or both. "One thing we do not yet know how to do well is agility," Boris Evelson told me at the recent Forrester IT Forum in Las Vegas. Scalable to thousands of users? 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. Jun 16, 2013 - Referansen innen business intelligence DS techniques offer means and tools to handle the global digitization – from digitized history to the booming business and social data today, providing scientific data models, powerful DS analytic engines and advanced DS visualization capabilities also They use skills in data gathering and data munging, visualization, machine learning, and computer programming to make data-driven decisions and data-driven products. 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. 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.

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