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



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


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. Kopp, whose background is in business intelligence, said she realized that all her presentations to customers were more about workload management instead of getting value from their data. Or perhaps the lifetime value of customers across a given period? My clients routinely tell me stories about building dozens of BI reports based on customer spreadsheets or requests, only to discover that most of these are rarely or never used. Check out the interview I had with Ken Collier about his book, Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing. Oct 25, 2011 - What about when you're working in an Agile environment? You won't regret the time or the money. €�We moved so far away from agile, it wasn't even funny,” she said. Nov 12, 2013 - As a proponent of agile data warehousing and business intelligence, I am constantly looking for new techniques for delivering value to customers faster, adapting to their feedback, and evolving toward the right business solutions It isn't about data warehousing, BI, or analytics … or is it? Oct 15, 2013 - A typical approach to address the lack of visualization capabilities within Google Analytics is to export data into Excel and then run some elementary charting. 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. As a notable insurance carrier specializing in P&C commercial and personal lines, Centric's client always had analytics and reporting While this approach had served the company well over the years, executives recognized the need to move toward verifiable information-backed management of the company. Jan 11, 2012 - If you are a data management professional, you should get and read this book ASAP. Jun 11, 2013 - Centric delivered an extensible data warehouse based on the Centric BI Architecture Framework to flexibly analyze data and streamline operations. 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. 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. 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. 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. Jul 24, 2013 - Oracle and IBM also have a similar market approach; they both have downloadable software to connect their other database and analytics products to data stored in Hadoop. Oracle and IBM all at the same time.