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ONBASE DATA MINING
The OnBase Data Mining Interface allows business professionals to explore, consolidate, format, and aggregate detailed business transactions by extracting data from COLD/ERM information stored within the OnBase system for use within desktop applications such as Excel, 123, Access, dBase, and Paradox. This seamless interface to Datawatch (www.datawatch.com) allows information-rich reports processed and stored within the OnBase system to be analyzed to uncover patterns and relationships contained within a business's activity and transaction history. By taking legacy information to a new level, this interface provides improved business intelligence to any business analyst's desktop. Additionally, customized reports and summaries can be further enabled to create dynamic charts and graphs for professionals to visualize trends and relationships within their mission-critical data.
Application
In the manufacturing industry, variations in production can impose complete and utter destruction to a company if metrics are not properly maintained. To insure these crucial numbers are maintained, daily manufacturing and statistical reports need to be analyzed for the warning signs that can lead to destruction. After the reports have been processed into the OnBase system and made available to users throughout the company, data mining these reports can now lead to the identification of the unusual data densities and process variations within manufacturing and assembly operations.
Process analysts who have this intuitive interface loaded on their desktops can now help to automatically identify the combination of plant, build-date and product models that have a higher breakdown or malfunction rates, allowing quality engineers to quickly zoom into the source of problems. Warranty claims can also be reduced by identifying gaps in dealer training and education, and data mining could also be used to discover the problems that are more likely within specific dealers, reducing dealer over-charges, improper claims, and inappropriate activities.
Core Features
