Case Study:
Digital Banking Planning Tool
Client Challenge
The client's forecasting process was manual and relied heavily on MS Excel, causing maintenance and consolidation issues and making it difficult to identify calculation or input data discrepancies and drill down to the root cause of issues.
Running multiple ‘what-if’ scenarios and testing options was challenging with limited automation and integration from source systems.
Understanding the reasons for variances between actual and forecasted results or between different forecasts was difficult.
The Solution
BSC implemented a rolling forecast solution on the Qerent Platform that automated the forecasting and data ingestion process.
It also allowed for improved accuracy and reliability of the forecast.
- The solution integrated the company’s Income Statement, Balance Sheet and Cash Flow Statement into the automated model that made updating the model simpler and more efficient.
- The reporting process was simplified by having automatic, standardized data exports that fed into a BI tool allowing users to view results and make key decisions based on scenarios run in the model.
Solution Value
- Improve business performance and facilitate informed decision-making by leveraging accurate and reliable forecasting.
- Explore various real-world scenarios by manipulating critical variables in the model, which can help drive key decisions.
- With automatic model rolling, you can save time and reduce the risk of errors.
- Easily add or remove products, allowing for better-informed decisions regarding this critical business area.
Ready to Transform
Your Financial Services Operations
Transform your financial services operations today to unlock hidden customer value, optimise product portfolios, and create sustainable competitive advantages that will position you as an industry leader in the rapidly evolving financial landscape.