It is time to get out the crystal ball again, see what comes into focus in its dynamic depths and consider data warehousing trends for the year ahead.

Data warehousing trends will track the architecture of business intelligence (BI) systems as a whole with innovations in the front end, middle and back end. Data warehousing will move beyond data integration - in some cases without having fully mastered it - to business and technology integration. The already substantial pressure on CIOs and information technology staffs to close the gap between the business and IT will increase to an even more extreme intensity. Today all business processes have software and IT procedures that are essential enablers, facilitators and implementers on the critical path to results. Among these enabling systems, data warehouses are the first among equals in that they enable advanced applications such as forecasting, performance management and working smarter in one hundred and one ways. In turn, these are on the critical path to business model innovation which itself is a priority for the CEO's agenda of increasing top-line revenue. According to the IBM Global CEO Survey: Expanding the Innovation Horizon, firms growing their operating margins faster than the competition were more than twice as likely to emphasize business model innovation as the underperformers (see Figure 1).1 To succeed at this, the business will need to continue to team up with business intelligence. No scare quotes - this will happen in the reality of enterprise operations.

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

Don't have an account? Register for Free Unlimited Access