Based on a survey of 250 banking executives and in-depth expert interviews conducted by Longitude Research, this report looks at cybersecurity challenges and opportunities specifically as they relate to banks. It provides an overview of the scope of the cyberrisks faced today, then delves into particular challenges, responses and ways forward. The report includes a case study of a recent global ATM heist that illustrates the range and complexity of coordination capabilities that hackers are capable of deploying.
Insights From a Military Operations Research Society Industry Showcase
This paper, based on a presentation at a Military Operations Research Society Industry Showcase by Bryan Harris, Director of Research and Development for Cyberanalytics at SAS, explains how the use of OODA (observe, orient, decide, act) loops puts big data and analytics into a framework that can help organizations make critical decisions to improve competitive advantage or outsmart an opponent. The OODA loop, originally a military concept, has been adopted by the commercial business community because it enables organizations to overcome competitors using decision strategies, rather than brute force.
Safety in the Digital Era: Approaching Fraud and Security With Big Data Analytics
This issue of Intelligence Quarterly, published by SAS, examines the different ways big data analytics is used to improve safety and security. They include preventing cyberattacks by identifying bad players and malicious behaviors; combating financial crime by examining past patterns of fraud, predicting fraudulent activity and linking conspirators; thwarting terror threats by tracking the data footprints of suspicious individuals and networks; and enhancing protective services by identifying children at greatest risk of abuse and intervening proactively to prevent or mitigate tragic outcomes.
This solution brief describes how SAS® Cybersecurity helps organizations detect threats and preserve their bottom line and reputation. The solution uses high-performance analytics to swiftly detect network and system anomalies and prioritize investigations so the most critical events can be acted upon first. Built on an integrated platform, the solution uses and complements existing infrastructure. With nearly 40 years of using behavioral analytics to solve complex business problems, SAS is an industry leader and a pioneer in the field.
In this white paper, IDC discusses the shifts happening in cybersecurity through the introduction of big data and analytics. IDC interviewed information security executives, practitioners and industry experts across three industries - the US federal government, financial services and energy - to better understand the evolving cybersecurity threat landscape and the mitigating role that these emerging technologies play. IDC's research uncovered that cybersecurity threats are evolving rapidly and that firms and government agencies must shift from a reactive approach to a proactive approach - understanding and responding to the threat before an attacker can cause damage.
Insurance is a highly competitive industry with immense advertising and marketing spend. But that doesn't mean that all marketing dollars are spent equally. In a world where channel proliferation means that consumers are bombarded by messages of all kinds, channeling that budget into the most effective messaging and reaching the customers with highest propensity to buy is of paramount importance. Big data and analytics offer an opportunity for insurers to react in real time to highly demanding customers and prospects. But investments and initiatives must be strategic and savvy with regard to the omnichannel reality.
In this webcast featuring SMA founder Deb Smallwood and SAS' Stuart Rose, you will learn:
The new requirements for effective insurance marketing around precision, personalization, and tailored messaging
Where insurers need to begin laying the groundwork for personalized marketing campaigns on the back end and front end
How other industries have adopted real-time analytics in their marketing campaigns
Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.
For all its agility in handling big data, Hadoop by itself is not a big data strategy. In this paper, you'll read about how SAS brings high-performance analytics to the Hadoop framework - making it easier to gain insights, discover trends and solve the most complicated business problems.