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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
ISBN: 032150481X, 9780321504814
Page: 366
Format: pdf

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. 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. Mar 18, 2014 - For years, many organizations had development shops that leveraged agile methods and practices for development projects other than data projects like business intelligence. Still, it's worth noting the cloud BI option? Jan 16, 2014 - Both the specialty vendors and the heavy weights — are trying to find the balance between agile yet trusted data — user driven but IT controlled. Sep 20, 2013 - A tightly coupled data integration and business analytics platform accelerates the realization of value from big data. 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. Teradata has long provided an agile analytics data warehouse with an integrated data lab that provides a self-provisioning, self-service environment for swift prototyping and analysis on new, external and uncleansed data. It all depends This allows the business to be more agile, adaptable and efficient. May 19, 2014 - But it's not a case of either/or: the majority of those who've either already adopted cloud BI or are intending to do so are using the SaaS system to complement their existing BI and analytics capabilities. From a data warehousing perspective, Amazon Redshift has really opened up the possibilities and a new breed of analytics providers is disrupting the old guard. The key is to take a risk-based approach. BI teams that have taken a hands-off approach to visual data discovery tools need to support data provisioning and best practices; conversely, users who have relied on IT for every last sort, filter, and customization will need to Tip: Just because users aren't asking for mobile BI doesn't mean there is no business value. Apr 30, 2014 - As a result, there is confusion around their use in business intelligence and analytics communities with assumptions that NOSQL (Not Only SQL), NewSQL databases are a replacement for the relational databases in BI and analytics. Today, agile is For example, an insurance company moved to an agile development process for all business analytics projects, adopting techniques such as paired programming, story walls and test-driven development.