for the budgeting process with what-if analysis scenario planning
“ What-if analysis lets my team
help our business partners
achieve their financial goals ”
Head of Retail Banking - Quote is paraphrased
Case Study
Industry
Banking
Company Size
10,000+ employees
Problem Space
Predictive Analytics
Insights
Automation
Data Science
Technology Used
Python
ScikitLearn
SAP
streamlit
Business Context
The budgeting process in the retail and business banking is time consuming, inaccurate. Different business
units have varying ways of calculating different financial metrics, which results in inconsistencies that
the
central team has to fix. The financial models are not set up optimally for testing hypothesis, resulting in
the
team having to manually create many versions of Excel files that are prone to error.
Challenge
Finance managers budget inaccurately
based on biased intuitions
The finance managers create inconsistent and
poorly performed forecasts and budgets based on
biased intuitions. The financial models are built
in Excel and difficult to update, version
experiments and collaborate.
Solution
Create rolling forecast and allow for
flexible what-if scenario planning
The solution pulls and update the latest income
statements and balance sheets, and calculate the
rolling forecast with predictive analytics models.
The what-if scenario planning tools allow the
finance managers to test assumptions iteratively.
Predictive analytics &
flexible scenario planning
The automated model allows finance managers
to experiment iteratively
💰
More accurate budgeting process,
improving business operations
🕑
Time saved for finance managers
to consolidate many spreadsheets
🚀
Centralised and consistent
financial modelling improved trust
& collaboration between the BUs