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

€�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. May 19, 2014 - To fully detect, isolate, and resolve quality issues in a traditional, large-scale data warehouse requires that several approaches be used together. Nov 5, 2013 - How to size the Big Data opportunity within the context of their organization; How to get Big Data technologies to work with cumulative years of investments in traditional business intelligence / data-warehouse technologies; How to execute on the Big Data effort without falling into the trap of approaching it as . 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. Some OLTP Blog do Lito – Data Warehouse / Business Intelligence · Perguntas e In this article, I'll provide some basic information for developers on the basics of data warehousing and dimensional modeling – information that might help you if you want to provide even more value for your company. And that's the correct way to approach the situation! Jan 4, 2007 - How to turn data into information. 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. 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). This calls for an Agile-based execution approach as well as a cohesive project team that includes both business and IT members under a single team structure. 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. 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 all depends This allows the business to be more agile, adaptable and efficient. 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. 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. May 9, 2014 - The business users want to perform all sorts of analysis, monitoring and analytics on the data. 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. Oct 30, 2012 - Recently I read the book “Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing” by Ken Collier.