xFinancials is a simple and powerful solution to help companies with financial planning, forecasting and performance analysis. While all companies have corporate accounting and reporting systems ranging from QuickBooks to SAP, these systems are not readily supportive of management level forecasting of corporate financial performance. xFinancials leverages the power of Microsoft Excel to deliver an intuitive and useable system for forecasting and performance analysis.
xFinancials makes it easy to view your current performance to plan. As actual results are entered into the system, current project or corporate performance to plan can be generated. Revised period end forecasts can be reviewed.
xFinancials can be configured to detail individual business unit or project performance tracking. Custom data collection processes can be created for staff entering separate project or business unit data.
Often required by banks and investors, balance sheet performance is often a second thought in operations. xFinancials tracks balance sheet changes and project balance sheet positions as part of the forecasting and planning process.
Business processes associated with financial management work best with strong and controlled collaboration environments. xFinancials promotes collaboration through data sharing and notification capabilities. Users have complete control of who has access to individual data elements.
xFinancials can tightly integrate with other corporate systems using a complete Application Programming Interface (API) made available by xOverTime.
xFinancials is designed for enterprise use with strong data governance principles. xOverTime’s information security policies follow ISO 27000 standards.
xFinancials leverages Microsoft Excel, making it easy to use and customize. Users know Excel and as shown below it is easy to build pivots tables, charts, etc.
xFinancials works with all Excel functions for data validation, analysis, reporting, etc. Master data and results can be secured and shared with others in the xOverTime cloud. Below is an example of a forecast variance analysis report based on a pull-down of list data that was secured in the cloud for accurate results.