Last month, the Forum introduced the concept of internal validity for evaluating the success of strategy, concluding with three simple and generally inferior designs for BI: one-shot measurement, pre-test/post-test and nonrandomized group comparison (cross- section). The problem with each of these designs is that we are unable to conclude decisively that the program or intervention indeed made a difference - i.e., that the design has internal validity. Alas, weak designs are all too common in business intelligence, even though they needn't be. What follows is a group of more sophisticated designs for BI that can help eliminate confounding explanations to the impact of strategic interventions. We believe the designs outlined can raise the validity of BI findings while at the same time being practical for businesses to deploy.
Building on last month's article, Figure 1 identifies a number of more advanced designs for BI.
Register or login for access to this item and much more
All Information Management content is archived after seven days.
Community members receive:
- All recent and archived articles
- Conference offers and updates
- A full menu of enewsletter options
- Web seminars, white papers, ebooks
Already have an account? Log In
Don't have an account? Register for Free Unlimited Access