Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing Ken W. Collier
There is first the difference in Both propose Star Schema Datamarts, business driven incremental development involving prototyping iterations (Agile) and report/query delivery from relational databases directly or via OLAP data repositories such as n-dimensional cubes. Apr 22, 2014 - For example, we'll see more BI solutions that automatically alert business leaders to real-time, dramatic shifts in data. 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. 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. 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. 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. 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. Sep 20, 2013 - A tightly coupled data integration and business analytics platform accelerates the realization of value from big data. Ben Harden, PMP, is a Managing Director in the Data Management and Business Intelligence practice of the Richmond, Virginia based consulting firm CapTech . Jan 19, 2013 - S6A Agile Analytics: Value-Driven Data Warehousing and Business Intelligence · Ken Collier, Ph.D. 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. Mar 6, 2011 - Agile may deliver value to customers faster, and may be more cost effective, but can it work for Business Intelligence and Data Warehouse projects? Aug 17, 2013 - In your choice for a BI and Data warehouse applications and a comparison of vendors it is important to know what the goal is for your BI Data Warehouse. One potential downside to a subject area or source base approach is trying to implement without strong architectural and modeling guidelines in place.