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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 an exposure to risk. Advanced analytics capabilities and cognitive technologies 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

Predictive risk intelligence
Predictive risk intelligence (PRi) provides you with advance notice of the threats to your company or industry that could affect the decisions you make for your organization.
Cognitive computing applications for risk management
Cognitive computing is increasingly being used in the domain of risk management, mining often ambiguous and uncertain data to find indicators of known and unknown risks. Read on to learn more about the applications of cognitive computing for risk management.
Five ways to harness the power of product-safety and recall analytics
How can you more effectively manage data and stay out in front of safety recalls? By taking these five tips to heart.
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.
us-future-of-risk.jpg (100×100) 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?
us-global-risk-management-survey.jpeg (100×100) 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.
us-bulb-pink-blue-lamp.jpeg (100×100) 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.
us-white-connecting-dots.jpeg (100×100) 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?
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Evaluating a digital transformation strategy
How can organizations evolve to meet marketplace demands? Read on for different approaches to digital transformation and critical questions board members can ask to guide the conversation.
 

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Analytics Solutions

2017 cognitive technologies survey

Early adopters speak out on cognitive and AI
What do the most aggressive adopters of AI and cognitive technologies report based on their efforts to date? On everything from the impact on jobs to their specific goals and exactly which technologies they're using and much more, 250 leaders shared their views on this important business development just as it takes hold in the broader business world.

Read the survey report

Meet our leader

Vivek Katyal

Vivek Katyal

Principal | Deloitte & Touche LLP

Vivek (Vic) leads the Advisory Analytics Service Area for Deloitte US. In his role, he primarily serves finance and risk domains at his clients and manages analytics practitioners who support those ar... More

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