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

May 19, 2014 - But it's not a case of either/or: the majority of those who've either already adopted cloud BI or are intending to do so are using the SaaS system to complement their existing BI and analytics capabilities. From a data warehousing perspective, Amazon Redshift has really opened up the possibilities and a new breed of analytics providers is disrupting the old guard. Oct 7, 2011 - The Best People in Data Warehousing and Business Intelligence Agile Business Intelligence principles are based on its cornerstone of small, quick iterations focusing on value at each cycle and building quality solutions in a time-boxed way, seems to be the right fit to deliver information management Team problems adopting the approach where they think they are doing the right thing but for some reason they cannot tell why Agile is still not working for them. Sep 20, 2013 - A tightly coupled data integration and business analytics platform accelerates the realization of value from big data. Jan 20, 2014 - Whilst on the panel at the Insurance Network's Big Data and Advanced Analytics event, I spoke about how businesses should use the right BI tools for their requirements, and that IT departments should consider it their responsibility in-memory or proprietary technology to deliver extremely optimised performance, even if the tool needs to extract data from the data warehouse to enable this, should be seen as an optimisation approach achieve the required capability. 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. Providing decision-support data that is consistent, integrated, standardized, and easy to understand. Apr 22, 2014 - For example, we'll see more BI solutions that automatically alert business leaders to real-time, dramatic shifts in data. 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. The key is to take a risk-based approach. 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 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. Dec 28, 2011 - Rittman Mead Consulting - “Delivering Oracle Business Intelligence” I discussed that the usual approach to Agile data warehousing is not Agile at all due to the violation of it's main principle: working software delivered iteratively. See the book The Analytical Puzzle: Profitable Data Warehousing, Business Intelligence and Analytics (ISBN 978-1935504207) for details. Still, it's worth noting the cloud BI option? Apr 7, 2008 - Agile gels well with the evolutionary approach required for a data warehousing / BI lifecycle. If you haven't already deduced from my first post . In the next post, I'll describe what I call the Model-Driven Iteration, where we use OBIEE against the foundation layer to expose new subject areas in a single iteration.