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Building an Operational Resilience Strategy DORA compliance requires more than policy documents - it needs measurable resilience. Our methodology integrates ICT risk management, incident response, and resilience testing within a unified framework. By embedding ISO 27001:2022 and SOC 2 Type II certified controls, we ensure compliance maps directly to operational performance. Get the technical overview in our free datasheet: https://lnkd.in/gQkwgR4P

Preparing for DORA: A Financial Firm’s Reality Check A mid-sized investment firm thought it was ready for DORA. Their risk management processes were strong, but vendor oversight and incident reporting fell short. Through our DORA Gap Assessment and ongoing compliance support, they built a governance framework that aligned with EU regulatory expectations - before the January 2025 deadline. See what a complete DORA readiness plan includes: https://lnkd.in/gXMGTfgX

DORA Compliance Goes Beyond the EU Many firms assume the Digital Operational Resilience Act applies only to EU financial institutions. In reality, any organization providing ICT services to EU financial entities must comply - even if based in the UK, Channel Islands, or North America. Operational resilience is no longer regional - it’s global. Access our free datasheet for a compliance overview: https://lnkd.in/gHKiQSkH

Myth: Model Accuracy Equals Business Success Myth: The more accurate the model, the higher the business ROI. Fact: A perfectly accurate model can still fail if it optimizes the wrong goal. ROI-first data science replaces “accuracy-first” thinking with a measurable objective - maximizing profit. It’s not about error rates; it’s about returns. See the facts in our latest fact sheet: https://lnkd.in/gdCmh2YB

Far More Powerful Models Begin with ROI “Far more powerful models can be built by considering business optimization during model training - so that business optimization drives model optimization.” That single shift redefines how we design, test, and deploy models. When ROI is embedded into the objective function itself, performance aligns with measurable impact. Explore the ROI-first approach in our free fact sheet: https://lnkd.in/gcYD7HBT

Inside the ROI-First Objective Function Traditional machine learning optimizes statistical accuracy, often through likelihood functions or gradient ascent on error minimization. ROI-Science applies the same mathematical rigor to business data, using convex, profit-driven objective functions that guarantee global optima tied to ROI. By addressing challenges like multicollinearity, scale invariance, and non-convexity, our models ensure stability and interpretability - while delivering measurable business outcomes. Read the technical foundations in our free fact sheet: https://lnkd.in/gFsu-Gqp