![]() ![]() Why Is Forecasting With Traditional “Solutions” So Difficult? ![]() Common Questions About Cash Flow Forecasting Software.Real-time connectivity becomes real-time forecasting, helping treasury teams anticipate events, analyze trends and improve investment decisions -without being handicapped by bank data timetables. Simply put, real-time connectivity to an ever-changing data stream enables more precise forecasting based on the most timely information available from the general ledger like receivables, payables, payroll, treasury, sales orders and purchase orders, providing detailed visibility down to invoice level and categorized into reliability by AI-driven payment behaviors.ĭeep ERP embedment of the FinLync cash flow forecasting tool enables deep drill-down capabilities and total data integration between your bank data and ERP data, allowing users to see, analyze and interpret the detailed information that leads to precision. Unlike inflexible spreadsheets that depend on manual data imports and exports, the FinLync app draws upon dynamic data appropriate for ever-updating forecasts and reports. With various bank files arriving at different times and with limited frequency, treasury teams are left to make crucial business decisions without certainty, compromising their role in the organization.įinLync’s cash flow forecasting software is embedded in your organization’s system of record-your ERP-giving it a foundation in your most up-to-date information across departments for ERP forecasting. Worse, treasury teams have been limited by cash management applications to receiving data at predetermined times in the day. Manual data collection requires reformatting data from multiple sources, absorbing precious time when the accumulated data remains static and within the spreadsheet, treasurers cannot pursue the drill-downs necessary for accurate analysis. Without real-time bank data through APIs and without having that data seamlessly connected to the ERP, treasury loses awareness and control of new and evolving information.ĭata access via thi rd- party cash flow forecast software or spreadsheets demands the maintenance of multiple connections among multiple parties, causing delays and opening unwanted opportunities for error and fraud. ![]() Treasury needs to assemble critical data from disparate departments like accounting and others -for payroll, revenue, collections, tax payments, M&A activity-that are all separated from treasury. Creating accurate cash flow forecasts for both the near and long term is nearly impossible when data is stored on multiple, disparate systems inside the company and in multiple banks. ![]()
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