Credit risk
Track the loan portfolio, default rate by segment and the trend in cost of risk.
4 ready-to-use SAC and SAC Planning templates for Banking — each with the KPIs, dimensions and realistic data your function actually tracks. Import in minutes, or generate a tailored one. No sign-up.
Each opens with a live preview and a one-click download (.xlsx, .csv, .package).
Track the loan portfolio, default rate by segment and the trend in cost of risk.
Measure your branch network performance: net banking income, new clients, cross-sell and deposits by segment.
Monitor your prudential ratios (CET1, LCR, NSFR, leverage) and their trajectory vs Basel III thresholds.
Manage your anti-money-laundering framework: alerts, up-to-date KYC, investigation times and fraud cases.
A solid Banking model starts with the right grain. Build your dimensions first (Customer segment, Region, Branch), then add the measures that matter (Loans outstanding, Net banking income (NBI), Default rate). The trap is aggregation: amounts and volumes sum, but rates and percentages must use AVERAGE, and stocks or balances must use a LAST exception on the time dimension — otherwise your yearly totals come out wrong.
Set those aggregations once in the Modeler, import your data, and build a Story from the KPIs above. For the full method, see our guides on importing a CSV into SAC and choosing the right aggregation.
Working on Basel III, IFRS 9 and Pillar 3? The free templates get you started; the verified & maintained kits keep the regulatory bounds correct at every revision.