Case Study: Scott Logic achieves faster, more accurate revenue forecasting with Kantata

A Kantata Case Study

Preview of the Scott Logic Case Study

Scott Logic closes month-end in 2 days with Kantata

Scott Logic, a bespoke software consultancy, faced challenges with revenue forecasting due to the complexities of managing multiple currencies and rate changes across its global projects. Their manual, spreadsheet-driven processes were labor-intensive, vulnerable to discrepancies, and made it difficult to gain accurate, trusted financial forecasts. To address this, they turned to Kantata and its SX platform, specifically leveraging its 'What-If' Modeling feature.

The Kantata solution allowed Scott Logic to efficiently model and apply rate changes in bulk, accounting for fluctuations in exchange rates, promotions, and annual rate uplifts. This automation drastically streamlined their month-end process, reducing the time to close financial periods from multiple weeks to just two days. The result was vastly improved forecast accuracy, trusted data for executives and sellers, and the elimination of manual corrections.


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