Cybersecurity: Seeing the organization through the enemy’s eyes
Short takes...on Analytics
Putting business analytics to work
Analytics in Action: Risk
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.
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?
As the issue of risk increasingly becomes a core strategic concern for many businesses, CROs are facing mounting pressure to identify a wider range of risks and better understand the impacts of differing economic environments on business risk and performance.
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.
Global risk management survey
In an age of heightened and evolving regulatory expectations, financial institutions must not only comply with regulations, but also find the flexibility to respond quickly and effectively to future regulatory developments.
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?
Flashpoint: Cyber risk in an Internet of Things world
The IoT offers new ways for businesses to create value, however the constant connectivity and data sharing also creates new opportunities for information to be compromised.
Data quality driven, customer insights enabled
A holistic view of customer data reduces risk exposure
A leading financial institution faced a daunting challenge: How to reduce risk exposure and better serve and market, to its customers. Using analytics, the bank achieved an holistic view of its customers, which improved its ability to respond to regulatory and audit requirements. The new framework also enabled the bank to better serve customers with appropriate service offerings.
Deloitte Analytics Solutions
We provide our clients with business-ready innovations in analytics that are difficult to match. We are at the forefront continuously developing new science-led, issue-driven analytics solutions to meet our client’s challenges. Our suite of analytics solutions can help deliver an insight-driven advantage today.
Regulatory Risk in Banking
Predictive Project Analytics Solution