Python and SPSS: Extending the Analytic Landscape
Jan 24, 2015 by Michael Gonzales, Ph.D in Data Science
ABSTRACT:
In a recent client engagement, our team was asked to establish a method to identify and report on deviations of normal file activity. This blog will examine the use of Python as a middleware application that deconstructs SPSS Statistics output into data components that are loaded into an MS SQL...
Why BI Projects Fail: The Allure of the Silver Bullet
Jan 24, 2015 by Steve Dine in Enterprise Data Warehousing
ABSTRACT:
The high failure rate of BI projects and programs has been well documented throughout the years. The reasons why they fail has also been well documented, which leads to the obvious question of "why do they continue to fail at such a high rate?" This article discusses the many combination of...
Business Driven vs Data-Driven Data Model Design
Jan 24, 2015 by Steve Dine in Enterprise Data Warehousing
ABSTRACT:
Many people look to agile development methodologies as a structural way to involve the business in the design and development of business intelligence (BI) solutions. However, many times the design practices employed within the iterations aren’t actually business driven at all. We see this most...
Performance Analytics Solutions Profiles
Jan 24, 2015 by Art McDonald in Banking Analytics
ABSTRACT:
Client relationships are designed to promote the growth of information empowered performace cultures that generate above industry average business outcomes. This article provides examples of how BI provided guidance, solutions and services to help clients transform information into actions that...
Risk Series: IT Factors of Competitive Advantage in Uncertainty Part 1
Jan 24, 2015 by Michael Gonzales, Ph.D and And Maria Barulina, Ph.D in Data Science
ABSTRACT:
Part 1 in the series "IT Factors of Competitive Advantage in Uncertainty". The three IT factors often studied with varying results include: Leadership, Skill, and Infrastructure. While these constructs are critical to establishing and measuring competitive advantage, by themselves, they fall...