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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
Publisher: Addison-Wesley
Page: 366
Format: pdf
ISBN: 032150481X, 9780321504814

Collier is a senior consultant in business But Agile is about delivering high-value data. Jan 19, 2013 - S6A Agile Analytics: Value-Driven Data Warehousing and Business Intelligence · Ken Collier, Ph.D. Some OLTP Blog do Lito – Data Warehouse / Business Intelligence · Perguntas e In this article, I'll provide some basic information for developers on the basics of data warehousing and dimensional modeling – information that might help you if you want to provide even more value for your company. Oct 30, 2009 - Agile development is being merged with Business Intelligence to create smaller-scale, rapid-results with analytics applied to corporate data. And that's the correct way to approach the situation! Jun 7, 2010 - Given the growth of data in enterprises, 'Divide & Conquer' is a good data management strategy, where data assets in an organization are managed based on how information is to be extracted & used. May 9, 2014 - The business users want to perform all sorts of analysis, monitoring and analytics on the data. 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. Sep 11, 2013 - In Forrester's Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012 survey of 634 BI users and planners, we found that social and mobile data is actually a pretty low priority: We wrote about big data hubs in our report, Deliver On Big Data Potential With A Hub-And-Spoke Architecture, and indeed we think most firms will shift from a data-warehouse-centric approach to one that favors low-cost data hubs. Apr 30, 2014 - As a result, there is confusion around their use in business intelligence and analytics communities with assumptions that NOSQL (Not Only SQL), NewSQL databases are a replacement for the relational databases in BI and analytics. May 18, 2011 - As a CxO you know that your Business Intelligence costs are mainly driven by these 4 areas: License acquisition costs While Agile BI can immediately imply faster deployment of the BI solution (#3 above), in Pentaho we add value in all the 4 areas. Here is how: Consolidation of licenses: Any BI implementation requires some form of Data Integration, Data Warehousing/Data Mart development, and Data Visualization (Reports, Analysis, and Dashboards). To me, embedded BI is one way of managing data I foresee the usage of embedded BI primarily for operational analytics while data warehousing and other forms of data management will continue to play its role for strategic BI. May 19, 2014 - To fully detect, isolate, and resolve quality issues in a traditional, large-scale data warehouse requires that several approaches be used together. VG- brief comment- agile vs adaptive. Jan 23, 2009 - Not only that, the Agile approach also throws ideas which could be deployed in a BI implementation. Teradata has long provided an agile analytics data warehouse with an integrated data lab that provides a self-provisioning, self-service environment for swift prototyping and analysis on new, external and uncleansed data.