Smarter insights with Risk analytics
Analytics perspectives and solutions
Organizations are seeking to increase “risk intelligence” by clearly defining, understanding, and managing their tolerance for and exposure to risk. Advanced analytics capabilities enable clearer visibility into the challenges associated with managing the many types of risk in such key areas as operations, regulatory compliance, supply chain, finance, ecommerce, and credit. By using analytics to measure, quantify, and predict risk, leaders can rely less on intuition and create a consistent methodology steeped in data-driven insights.
- Risk Insights
- Vitamin D: Deloitte’s Analytics Blog
- Case study
- Analytics solutions
- Regulatory Risk in Banking
|Managing algorithmic risks
See how our algorithmic risk management framework can help you manage risks associated with machine learning and algorithm-based decision-making systems.
|The future of risk
Explore the drivers, opportunities, threats, and real-world examples for each trend. And ask yourself: will your organization be able to harness these trends to be even stronger, more resilient?
|Global risk management survey, 10th edition
While many organizations continue to enhance their risk management practices worldwide, this year's survey revealed that leaders are focused on the regulatory impact of recent geopolitical shifts and questioning what's coming next.
|Implementing risk transformation in financial services
Risk transformation can enable a financial institution to elevate risk management from a functional capability to an enterprise responsibility that permeates the entire organization. When that happens, every business, function, and individual becomes responsible for, accountable for, and capable of recognizing and addressing risks within their purview. Data, analytics, and technology are foundational elements in risk transformation.
|Harness the power: How advanced analytics in valuation is driving value
The potential for material misstatement of a fair value estimate represents a significant financial reporting risk to companies. Learn how your business can use data analytics to strengthen its ability to meet financial reporting requirements, particularly around valuation processes, procedures, and analyses.
|A world beyond passwords: Improving security, efficiency, and user experience in digital transformation
There’s a reason why so many of us use the same simple password for every login: Who can remember dozens of different combinations of numbers and letters? The good news is that technology is on the verge of rendering passwords obsolete, bolstering security as well as making users and customers happier.
|From security monitoring to cyber risk monitoring: Enabling business-aligned cybersecurity
No IT system can catch every phishing email and data breach. But what happens when a virus infects your network? Executives from the C-suite down need to better understand today’s cyber risks, emphasizing careful monitoring and quick response plans—and, yes, prevention.
|Government’s cyber challenge: Protecting sensitive data for the public good
For government, cybersecurity isn’t only a challenge—it’s a big obstacle to long-awaited digital transformation. Plus, the stakes are sky-high: Hacking public-sector information might imperil national security as well as citizens’ trust. Is government up to the task?
|The new CISO: Leading the strategic security organization
As customer data and intellectual property evolve and invite new forms of information theft, the leadership role of the chief information security officer must become stronger and more strategic—moving beyond the role of compliance monitor to help create an organizational culture of shared cyber risk ownership.
|Quantifying risk: What can cyber risk management learn from the financial services industry?
Quantitative models to measure cyber risk—the same kinds of models widely used by financial services firms—are starting to gain broader acceptance. But risk managers may be led astray if they rely too much on models out of context. What lessons in effectively using models does the financial services industry hold for cyber risk management?
|Internal audit analytics: The journey to 2020
Capitalizing on the wealth of data now available—from your own business activities as well as external sources—can help internal audit (IA) generate valuable new insights, provide greater assurance, and rewrite the rulebook on traditional auditing techniques. By embedding analytics in every phase of the audit process, IA can assist the business in navigating a world that has become more volatile, uncertain, and complex.
|Risk sensing: The (evolving) state of the art
Risk sensing—using human insights and advanced analytics capabilities to identify, analyze, and monitor emerging risks—has become a key component of many organizations’ arsenals for managing risk. In fact, 81 percent of respondents to a recent survey say their companies leverage risk sensing tools, but do those capabilities go far enough to mitigate risks?
Read some of the latest analytics blogs. Vitamin D delivers bold, real-world strategies and inspiring success stories to help organizations gain the insight-driven advantage and achieve better outcomes.
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