👉 Note: Use Savant Copilot to assist in quickly writing complex functions in the expression editor.
🌟 Introduction
Asset and Liability Reconciliation is a crucial task for every business to ensure accurate financial reporting. However, traditional methods of reconciling assets and liabilities can be time-consuming and prone to errors. This is where the Savant Asset and Liability Reconciliation template comes in to streamline the process.
💼 Business Impact
Savant’s solution for Asset and Liability reconciliation is ideal for businesses that need to reconcile large volumes of data from various sources. It is particularly useful for companies with complex accounting procedures and those that operate in multiple locations. Savant can help identify discrepancies and potential risks in financial statements, automate identification and resolution of exceptions, and improve accuracy and efficiency in financial reporting.
📥 Data In
To use Savant’s Asset and Liability Reconciliation template, you need access to the following inputs:
Asset and Liability data files
Audited financials or other cross-check data sources
📤 Data Out
The key metrics and results obtained from using the Savant template for Asset and Liability Reconciliation include:
Detailed reports of reconciled accounts
Identification of discrepancies and potential risks
Automated identification and resolution of exceptions
Improved accuracy and efficiency in financial reporting
📊 Metrics
Account reconciliation reports
Discrepancy identification
Exception resolution automation
📝 Template Setup
Next, you'll need to make several key selections:
Step 1: Data Input
📥 Assets with an asset identification and monetary value.
📥 Liabilities with a liability identification and monetary value.
📥 Report with audited assets and liabilities.
Step 2: Configuration
There are no specific configurations the user is required to make in this template. However, the user may calculate additional statistics using the existing Transform tool.
Step 3: Destination
Finally, we recommend configuring your output to a Google Sheets file or a database. This will make it easier to analyze your data and gain insight into metrics.