No more traffic-light colours or gut feeling. Successful risk management requires reliable numbers instead of rough estimates. With BIC GRC, risk managers simulate thousands of scenarios at the push of a button, quantify risks in euros and create robust decision-making foundations for executive boards and management.
Stop merely describing risks. Start calculating them precisely. With an integrated Monte Carlo simulation, full portfolio aggregation and automated mitigation optimisation, risk managers gain the clarity needed for strategic decision-making.
Statistically robust results instead of estimates
From single-risk simulation to risk-stressing – fully integrated
Audit-proof documentation and centralised GRC data at the push of a button
DATEV relies on BIC GRC for full quantification of risks and opportunities. The shift from qualitative to quantitative risk assessment has turned risk evaluation into a strategic management instrument.
“BIC GRC has proven to be an indispensable tool for us. The transition to an integrated GRC solution has not only increased our efficiency but also strengthened strategic and risk-orientated financial management at DATEV.” – Claudia Maron, Head of Strategic Controlling & Risk Management, DATEV
BIC GRC turns qualitative risk management into a precise, data-driven steering instrument. Simulate scenarios realistically, identify risks early and manage your organisation with greater confidence and foresight.
The integrated Monte Carlo simulation calculates through thousands of scenarios concurrently and delivers loss distributions and probabilities. Risk managers can now speak the language of the executives: concrete, transparent, decision-relevant. Risk appetite and risk-bearing capacities become precisely measurable.
BIC GRC aggregates risk portfolios, models correlations and reveals chains of risk that qualitative assessments systematically overlook. Multi-period simulations also make future risk dynamics visible early on – instead of when it’s already too late.
Through automated mitigation based on risk-bearing capacity and budget, BIC GRC answers which measures reduce risk exposure most effectively. Every euro invested becomes transparently effective – and decisions remain clearly explainable to management, auditors and regulators.
How do you explain the Monte Carlo simulation to management – and how do you truly convince them? Together with GBTEC, risk expert Frank Romeike shows how stochastic simulation makes risk management more communicable and robust. Practical, without requiring a statistics degree.
Powerful simulation capabilities, full GRC integration and high usability in one single platform.
The Monte Carlo simulation runs thousands of calculations with different random variables and generates a statistical distribution of possible loss values. Risks are no longer estimated but expressed as quantiles – robust, communicable and directly decision-relevant.
For risk managers who want to move beyond qualitative assessments, and for executives who need solid decision-making foundations. BIC GRC is designed so that simulations can be performed intuitively even without statistical expertise.
BIC GRC supports eight fully integrated use cases: single-risk simulation, portfolio simulation, risk correlation, mitigation optimisation based on risk-bearing capacity, mitigation optimisation based on budget, multi-period simulation, risk linking and risk stressing.
Simulations can be started ad hoc – without long training phases. Thanks to intuitive usability and full integration into existing GRC processes, teams achieve reliable insights immediately. The first simulation run is often possible on the same day.