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

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 11, 2013 - While other vendors look to consolidate and lock in their stacks, SAP takes an open approach to innovation and allows a wide variety of partners to build and deliver solutions – including analytics – on SAP HANA. Adaptation These organizations will not see the degree of benefit from data analytics as more adaptable, agile ones. 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. 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. Were supposed to do, Big Data is supposed to help organizations improve business performance and gain competitive advantage. I also like to emphasize TDD (test-driven development) as an approach that is most effective to quality products in business intelligence and data warehouse solutions. None of these approaches/disciplines can be advantageous if you can't adapt based on the information they provide. Many lessons that I've learned @ both Oracle and Microsoft will be applied here as well as the practices that we apply @ Razorfish, many of which originate from Ken W. 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. 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. Bill Inmon is sometimes also referred to as the "father of data warehousing"; his design methodology is based on a top-down approach and defines data warehouse in these terms. Jun 24, 2013 - The purpose of the Data Warehouse in the overall Business Intelligence Architecture is to integrate corporate data from different heterogeneous data sources in order to facilitate historical and trend analysis reporting. Jan 3, 2013 - Much like decision support, data warehousing, business intelligence etc. It acts as a central repository and Data Warehouse Design Approach. 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. Jan 23, 2009 - Not only that, the Agile approach also throws ideas which could be deployed in a BI implementation. Collier's exellect book Agile Analytics, which I highly recommend. SAP Lumira delivers agile visualizations for business analysts to uncover more insight from their data – big and small – in SAP HANA and contribute new information.