KPI Services

Data Warehousing/Marts development

Businesses today have a growing number of systems to collect data. These include legacy systems, ERP and non-ERP transactional systems, databases and applications, as well as external systems from suppliers, customers, and partners. The data in these systems keeps growing. For companies to reap a return on their data investment, they must compare information from one system to another. The ability to bring together a company’s data assets provides the necessary integration for effective business intelligence. Linking BI to Operations Data collected from operational systems is the foundation for effective, fact-based business decisions. This business intelligence - the capabilities such as reporting and analysis, scorecarding, and budgeting, in many cases, must be placed in an organization’s particular operational context to be most effective. For example, knowing that product sales in one region were $2 million last year has limited value without the context provided by the integrated view of historical data, or comparisons with other geographies, other products or other competing product lines. If by using business intelligence capabilities you discover that sales of the product have doubled in the region while the national average has been declining, you gain an insight into the business. You can explore the situation further. Ultimately, you can use this information to improve sales in other regions, or cut under-performing products to concentrate on a winner.

In some cases, before users can tap the information assets contained in their operational systems, data managers must deal with a number of infrastructure-related issues. IT organizations today face a variety of challenges when it comes to delivering high-value information to users across the enterprise.

KPI consultants can help you in: 

• Eliminating overhead on operational systems caused by reporting and analysis needs
• Consolidating data from disparate data sources 
• Accessing consistent information across the enterprise 
• Preserving data history
• Presenting data in an understandable structure to business users. (metadata management)

Companies must address these issues to deliver meaningful information successfully. Specific requirements will vary from department to department; therefore, in many cases, an effective Informational Infrastructure needs to support standard operating system and database technologies.