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

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. 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. May 7, 2012 - Traditional approaches to BI cannot deliver solutions and reporting fast enough in this era of hyper-competitiveness. Dec 2, 2013 - Self-service business intelligence (SSBI) is an approach to data analytics that enables business users to access and work with corporate information without the IT department's involvement. It all depends This allows the business to be more agile, adaptable and efficient. The end goal is to Getting a self-service business intelligence environment may be as easy as linking to a single database or as complex as building data warehouses and data marts. VG- brief comment- agile vs adaptive. Jun 11, 2013 - Centric delivered an extensible data warehouse based on the Centric BI Architecture Framework to flexibly analyze data and streamline operations. 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. Sep 20, 2013 - A tightly coupled data integration and business analytics platform accelerates the realization of value from big data. Companies spend a lot of time modeling data, and that's precisely what IT team does very well.