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

Jan 17, 2014 - Methodologies: PMI's PMBOK (ANSI/PMI 08-004-2008), Agile (Scrum), and Microsoft Sure Step Most recently, Vincent launched Data Science Central, the leading social network for big data, business analytics, and data science practitioners. On the other hand, when the business users control their own data and BI, they can be much more agile and thus able to glean more value from their data, faster. 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). With over twenty-five years of experience delivering value through data warehousing and business intelligence programs, John O'Brien's unique perspective comes from the combination of his roles as a practitioner, consultant, and vendor CTO in the BI industry. Nov 5, 2013 - The need for detailed requirements gathering, data quality and cleansing work is paramount in launching any business intelligence project. 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. The sessions delivered in this event introduce the framework and methodologies for modernizing data warehouses into data platforms that combine the latest data integration and analytic databases. Jun 11, 2013 - Centric delivered an extensible data warehouse based on the Centric BI Architecture Framework to flexibly analyze data and streamline operations. Jan 19, 2012 - As Hadoop steamrolls through the industry, solutions from the business intelligence and data warehousing fields are also attracting the big data label. 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. €�End-user BI tools are split into two categories: Query, Reporting, Analysis Tools [QRA] being dashboards, production monitoring, ad hoc queries and so on; and Advanced Analytics, predictive analytics such as data mining and statistics,” she says. Jul 27, 2010 - There is no standard definition of BI, though IDC New Zealand senior market analyst Louise Francis groups BI into two categories — performance management tools and applications; and the data warehouse platform. 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.