Noetix Blog
Noetix customers share how Noetix saves IT time and resources by enabling end users to get at Oracle E-Business Suite data themselves. This reduces development time and dependence on external contractors to get data out of the system and allows IT to focus on more strategic needs of the business. Featured Noetix customers include: Lance [...]
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Archive for September, 2011
What is the Recommended Method for Joining Noetix Views across Modules?
QUESTION: What is the recommended method for joining Noetix views across modules? ANSWER: First, some background: Each view in NoetixViews is designed to be used, by itself, as the basis for queries and reports that answer business questions. Most views have dozens of columns, taken from many tables in the Oracle E-Business Suite database. Users can create [...]
A Culture of Analysis: Promoting Fact-based Decision Making in the Organization – Research Study of 250 IT Professionals
By Elliot King, Ph.D. Professor of Communication, Loyola University Maryland & Founder of the Digital Media Laboratory As business intelligence platforms and tools have become more common, many enterprises have attempted to build a corporate culture based on analysis. The concept is simple. With an appropriate BI infrastructure in place, data analysis would no longer [...]
BI Application Buy vs. Build: Is Your Data Really That Unique?
By Elliot King, Ph.D. The buy-versus-build question has haunted the development of data warehouses and analytic applications since Bill Inmon started discussing the underlying concepts in the 1970s, and Barry Devlin and Paul Murphy published “An Architecture For A Business and Information System” in the IBM System Journal in 1988. Since then, many vendors have [...]
Determining Scope is a Top Challenge in Bringing BI Applications into Production – Research Study of 250 IT Professionals
By Elliot King, Ph.D. Professor of Communication, Loyola University Maryland & Founder of the Digital Media Laboratory Business intelligence infrastructures are dynamic. As companies generate new information, they need to apply that information productively to business processes. Sometimes that requires devising new kinds of analyses. Sometimes it means pushing information to new communities of users.
