Analytics in Action: Risk
In any organization, the issue of risk can be maddeningly hard to pin down, much less manage. What’s our threshold for risk? Are we tracking and forecasting our performance in a way that offers visibility into which risks we’re taking? What are the risks to achieving our strategic objectives? Which metrics should we apply to risk? If you’ve ever grappled with tough questions like these, you already know the challenges inherent in risk management.
Risk Analytics is an effective tool for organizations looking to more clearly define, understand and manage their risk profile – to increase what we call their “Risk Intelligence.” Risk analytics can give organizations visibility into many kinds of systemic risks, from credit risk and market risk to operational, reputational and cyber risk. It can help leaders deploy capital and manage their supply chain at a level that matches their risk tolerance. For organizations exposed to significant regulatory risk, it can be an important tool for helping to achieve compliance. And that’s just the start.
Some organizations are great at risk management. Others are great at business analytics. At Deloitte, we’re recognized as world leaders in both areas – and we’ve brought them together in our Risk Analytics practice to help organizations plan, monitor and model their enterprise risk. We bring an industry-focused approach to our clients’ needs, and are able to tap the full experience of our organization to deliver the value from risk analytics that our clients expect.
Meet our leaders
Managing Principal, Deloitte & Touche LLP and US Deloitte Analytics AERS IMO Leader
Principal, Deloitte Consulting LLP and Banking & Securities Business Analytics & Information Management Leader
|Corner office analytics
Business analytics used to be the domain of a few select teams buried deep in the business. Today, it lands on the agendas of most CXOs. In our Corner Office Analytics series, we’re focusing on the analytics needs of these senior leaders—and how they intersect with one another.
|From risk to resilience: Using analytics and visualization to reduce supply chain vulnerability
Complex supply chains require sophisticated, connected tools to monitor risks, predict disruptions, and support rapid recovery as part of an overall resilience strategy. For leading companies, this line of thinking has led an increase in the adoption of advanced tools grounded in analytics and visualization.
|Predictive project analytics
Predictive Project Analytics can significantly enhance the effectiveness of traditional project management tools by using advanced analytics to evaluate the likelihood that a project will be successful—followed with practical and actionable advice that helps leaders achieve the organization's goals.
|Risk Angles: Five questions on the evolution of cyber security
This issue of Risk Angles discusses how an evolutionary approach to cyber security is key to staying ahead of cyber criminals — and the competition.
|Regulatory Risk in Banking
Developing analytic capabilities is smart business – and for many banks, it’s increasingly required to address regulatory issues. A basic analytic foundation positions bank leaders to make better business decisions that may increase profitability and reduce risk. Watch our take.
|Banking Executive Data Quality Dashboard
Our Data Quality Dashboard for banks can provide a host of advantages to executives looking to make smarter decisions using data driven insights.
|Continuous auditing and continuous monitoring: Have they reached a dead end?
This Web-format series addresses the benefits organizations can realize by moving beyond continuous monitoring and continuous auditing—and toward the use of data analytics.
|The three minute-guide to risk analytics
Many organizations want to take advantage of the benefits of risk analytics to proactively identify and understand sources of risk to limit risk exposure, or to take certain risks to generate returns. Risk analytics can help establish a baseline for measuring risk across the organization and offer executives clarity in identifying, viewing, understanding, and managing risk.
|Reining in project risk: Predictive project analytics
Companies are taking advantage of predictive project analytics (PPA) to mitigate delivery risks and improve overall project performance.PPA is a project risk assessment methodology that provides foresight on potential risks and where immediate fixes for in-flight projects and programs should be implemented to mitigate risk.
|Risk Information Service
Companies are seeking reliable predictors to manage risk, meet regulatory requirements and gain a competitive edge. Risk and regulatory analytics provides information to navigate challenging economic conditions and complex regulatory environments.
|Spend@Risk: An analytical approach to manage commodity spend risk
Procurement decisions for a commodity exposed entity, in most cases, are not trivial. This article discusses a commodity procurement strategy and framework that uses analytics to help organizations protect margin, given their financial constraints and competitive landscape.
|Adding insight to audit
Analytics holds extraordinary promise for moving the internal audit process from hindsight to insight and foresight.
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