Enhance operational efficiency with transaction-level reconciliation
Attention to detail. For companies like yours, increasing the accuracy of detailed business data is a key way to reduce costs, retain customers, and increase revenues. The ability to provide timely and accurate information to your customers and financial analysts is also a must for continued corporate success.
Because accurate information is a vital business requirement, Precisely created ACR/Detail. This innovative rules-driven, transaction-level reconciliation solution:
- Performs reconciliations that compare field values across files, databases, and reports to help you verify the accuracy of record-level business data.
- Automates error detection and reporting to help you validate, reconcile, and post transactions.
- Extracts, evaluates, and reconciles high volumes of financial data files.
- Integrates with Insight to provide access to control results, and allow you to browse history, view reports, trend data, and monitor results via your intranet.
Assure the accuracy of your detailed financial information
ACR/Detail is a powerful tool that can help you assure the accuracy, consistency, and reliability of your detailed business data. All of which can help you reduce costs, streamline processes, and enhance productivity by:
- Detecting errors or suspense items at multiple levels of comparison.
- Pinpointing items that cause totals and transactions to be out of balance.
- Analyzing differences, fluctuations, and trends using your current and historical data.
- Using your own rules to:
- Extract, reformat, and compare data from multiple sources, including values from previous reconciliation steps.
- Sort, accumulate, and compare data at any level of detail.
- Report results via the Web, online, or paper.
- Store your data for future comparisons and audits.
Better technology, greater benefits
ACR/Detail easily integrates with all of our products. It is also a customized solution. You define the rules to gather and compare data from input sources such as history data from previous cycles or other applications.
ACR/Detail can easily reconcile thousands of items with a few simple rules, eliminate manual balancing, and help you analyze your data. It also provides a number of features to help assure the integrity of your critical business information.
Automated reconciliation
Eliminate the time and cost of searching through reports:
- Automate the reconciliation of transactions in files that drive your batch processes.
- Detect errors and inconsistencies in your data content and processes.
- Satisfy audit requirements with documented procedures, standardized controls, and complete audit trails of results.
Multi-level reconciliation
Early error detection can help you avoid added processing, research, and reporting. That’s why ACR/Detail lets you compare transaction data based on results from previous reconciliation steps, and review multiple levels – company, region, or division – to detect the point of error.
Customized system alerts
ACR/Detail sends system alerts in the form of user-defined return codes and messages. These alerts enable employees to respond appropriately to each error and speed error resolution.
Suspense processing
ACR/Detail compares incoming data to suspense items to help you complete reconciliations faster – and to prevent posting delays and write-offs.
Web-based information access
Insight provides online access to ACR/Detail data – including centralized business data, reports, and graphical displays of trends – to help you drill down into the details.
Enhanced online, web, or paper-based reporting features
- Choose from several reports that provide details of your reconciliation jobs to allow you to easily locate errors.
- Review detailed, recap, or user-defined reports that provide error detection status to help assess associated risks
Flexible history analysis
Extract, analyze, and report on your critical business data:
- Store values from previous daily, weekly, monthly, or annual production cycles – or any other predefined period.
- Retrieve history data for audits or comparisons to new data to identify trends and fluctuations.
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