• Does it typically take days or sometimes weeks to get a report that answers important business questions?
• Is data directly and immediately accessible to the people who need it?
• Do staffers need to submit a request that includes business justification, detailed requirements, cost center/project code, etc?

In these situations, frustrated end users will either give up, or worse, develop “stealth” projects to bypass the corporate bureaucracy. This can lead to multiple, expensive, non-compatible systems, long-term headaches and multiple versions of “the truth.”

iOLAP has the answers.
With a comprehensive business intelligence strategy, your company can deploy consistent, cost-effective solutions across the enterprise. You’ll have immediate access to comprehensive information that can help your company:

• Reduce costs
• Increase profits
• Motivate employees
• Improve performance
• Enhance the value of your business

Your BI strategy begins with the development of a custom-tailored enterprise data model. iOLAP uses this model to build an Enterprise Data Warehouse (EDW). Your EDW can be implemented all at once or over time utilizing conformed data marts. In either case, iOLAP assures your EDW will be comprehensive and flexible enough to grow with your business.Return on investment for business intelligence is typically easy to define and track.

With a BI system you can:

• Establish your value to customers based on hard facts
• Demand the best vendor relationships based on historical transactions
• Define the strategic direction of your enterprise based on thorough analytic evaluation of past performance and future projections

The advantages of managing and directing business with readily accessible data quickly spreads to all areas of the organization, often in unique and surprising ways. Groups in departments throughout the enterprise will discover hidden value, initiate system enhancements and fine-tune performance. You may also find your business sharing data outside the company—with customers and other business partners—in ways that had never previously been considered, simply because the data had not been available