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Agile Analytics: A Value-Driven Approach to
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



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




Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing Ken W. Collier ebook
Format: pdf
ISBN: 032150481X, 9780321504814
Page: 366
Publisher: Addison-Wesley


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. 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. 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. 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. Nov 4, 2013 - “We have built, and continue to build upon, an extremely robust and rapidly evolving BI data ecosystem that drives new initiatives in order to tune and manage the operational and strategic aspects of our online gaming and media business. While writing SQL is one approach to getting answers, it does not suit all levels of skills and experience. 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. Collier is a senior consultant in business But Agile is about delivering high-value data. 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. Cirro is a 'game-changing' approach to analytics allowing us to ask those questions quickly and gain initial insight and context across all our data silos without ETL build-out or the cost and complexity of a semantic layer. Dec 29, 2013 - In my opinion, it points back to visual analytics, dedicated teams of business analysts with clear missions and good data management and warehouse practices with an agile approach, so that major misses can be caught, reviewed and corrected mid-course. While I found it interesting, there's a lack of rigor in the analysis that is a common problem when using surveys at many companies- misinterpreting trends from surveys based on small sample sizes. Nov 26, 2013 - Their pitch centered on three areas – data warehousing, big data analytics and integrated marketing – that to some degree reflect Teradata's core market and acquisitions in the last few years of companies like Aprimo who provides integrated I want to note that the premise behind UDA is that the complexities of the different big data approaches is abstracted from the user which may access the data through tools such as Aster or other BI or visualization tool. Oct 30, 2012 - Recently I read the book “Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing” by Ken Collier. Oct 30, 2009 - Agile development is being merged with Business Intelligence to create smaller-scale, rapid-results with analytics applied to corporate data.