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
Page: 366
Publisher: Addison-Wesley
ISBN: 032150481X, 9780321504814
Language: English
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. 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. Because restaurant chains are so operations-driven, and because BI is so central to helping them run their businesses, they are among the elite group of companies across all industries that are actually getting real value from these Business Intelligence Versus Business Analytics What s the Difference Amazon and Yahoo aren't just e-commerce sites; they are extremely analytical and follow a "test and learn" approach to business changes. It acts as a central repository and Data Warehouse Design Approach. 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. Oct 30, 2012 - Recently I read the book “Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing” by Ken Collier. There is also a strong predisposition and Business users generally conceive of BI as computer-based techniques used in recognizing and analyzing business data for decision-making in the organization. We've seen Agile cut project costs in half Organisations will embrace the Agile approach, utilising new tools and technologies to decrease delivery times and demonstrate substantial business value. Figure 1 Business Intelligence & Analytic Data Components. Jan 4, 2007 - How to turn data into information. Jul 2, 2013 - Based upon my experience, I can name at least nine data components that need testing and validation in a business intelligence project. 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. Apr 17, 2012 - Agile provides a streamlined framework for building business intelligence/data warehousing (BIDW) applications that regularly delivers faster results using just a quarter of the developer hours of a traditional waterfall approach. 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. Sep 19, 2011 - For example, the huge amount of data available today – both structured and unstructured – requires a “divide and conquer” approach to data warehouse and BI projects as well as engaging across the functions and departments of organizations.