Leveraging your existing applications infrastructure
We assist our clients to identify the best fit solution to deliver to their management the financial information essential to their business decisions. Typically, this will initially involve determining if this can be accomplished through your company’s current information technology, or requires upgraded or additional capabilities. If upgrades or enhancements are indicated, we’ll bring the know-how to identify and deploy the best-value technology to capture, store, and deliver the financial information your decision makers need.
We work with clients to evaluate and, where possible, to leverage the power of Excel as a key financial information provider. As a widely supported and highly versatile financial information application, Excel can serve as a low cost financial information solution.
Excel provides key financial information through a wide range
of data query and analysis capability at relatively low cost. However, it can be highly subject to error risks due to unregulated, unrestricted user access and limited application error-checking ability. Also in many instances, Excel requires significant user involvement.
Enterprise Resource Planning solutions can meet your management’s key company-wide financial information needs from a single source. By drawing on a central database or warehouse, your company can eliminate data storage redundancy issues and reduce the risk of delivering inconsistent information to various departmental decision makers. While utilizing role-based access privileges to prevent unauthorized data access, implementation of a common data source can enable greater interdepartmental collaboration in deploying your corporate strategies.
Business Intelligence applications can offer your management easily accessible, clearly presented and up-to-date reporting of the financial information they need. Easier access to your company’s key financial information is provided through features such as a graphical user interface that simplifies the user’s information-retrieval experience by serving as a layer between the user and the application’s complex query and analysis functionality.