Accurate Referral Forecasting at DBS
Public Sector | Business Insight and Analytics
A significant proportion of these are sent to the police forces as referrals. To ensure adequate staffing levels, DBS wanted to enhance its predictions of referral applications. The BJSS Data Science team and DBS developed a time-series forecasting model for more accurate predictions of referral volumes.
The PoC enabled the production of an 18-month referral forecasts and demonstrated a 50% lower error rate than the legacy forecasting model, ensuring that staffing levels correlate more closely with demand.