1/18/2023 0 Comments Sage intacct![]() ![]() Contracts and Subscription Billing: Save time running invoices and gain more insight into billing use cases So, if you have three bank transactions that were recorded as one transaction in Sage Intacct, you can group them together for better visibility and reduce manual effort. Group one-to-many, many-to-one, and many-to-many matching to cover all scenarios with complex banking transactions. Improved grouping options also allow you to group both Sage Intacct and bank transactions. For example, you can set filters to match the document number of incoming bank transactions to Sage Intacct transactions that contain the same document number in the description. Operator provide options to match bank and credit card data to corresponding transactions. Powerful new filtering options in matching rules allow you to automatically match more incoming bank transactions to Sage Intacct transactions than ever before. Spend less time on reconciliations by automating transaction matching This helps limit the number of outliers that require your attention.Įxisting Sage Intacct customers can self-subscribe to Outlier Detection for GL from within your Sage Intacct instance. Dimension priority can be set so the system aligns to your needs when it comes to evaluating accuracy. Customize thresholds per journal for outlier evaluation based on materiality and dimensions. You also gain more control over what gets flagged as an anomaly with configuration settings. You can also hover over line level outliers for more details. ![]() Icons tell you if an outlier is a coding anomaly (account/dimension), an unusual amount, or if multiple outlier conditions are present. New icons allow you to quickly understand why journal entry lines were flagged as outliers with icons that give at-a-glance visual insight, saving you the time of investigating anomalies yourself. With Release 3, we’ve introduced new options for configuration and at-a-glance insights. It reviews journal entries and flags anomalies to help you proactively catch errors and identify issues and risks prior to your approval. Outlier Detection for General Ledger is our machine learning solution that helps ensure the accuracy of your approval process. Save time reviewing journal entry anomalies with GL Outlier Detection Read on to find out more about how these new updates will affect your day-to-day operations within Sage Intacct. Gain efficiencies in construction change management.More accurately track inventory when in transit between warehouses.Save time on running invoices and gain more insight into billing use cases.Spend less time on reconciliations by automating transaction matching.Save time reviewing journal entry anomalies with GL Outlier Detection.We are now welcoming our third release of Sage Intacct in 2021! Our latest release reduces manual processes with automation and provides deeper support for our verticals. ![]()
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