For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations
In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes:
•Global payment initiatives
•Open Banking standards
•Artificial intelligence and machine learning
•Consumer demand for real-time fraud prevention and detection
This white paper provides a top-level overview explaining what business analytics can do for your company - and the 8 key steps to accelerating product innovation, optimizing pricing and discovering drivers of financial performance.
This paper provides an intro to managers and marketing professionals applying analytics to marketing to significantly improve outcomes. It explains not only why you need to make this shift, but also how you get started and what tools you'll need.
The traditional managed reporting approach to BI is challenged to keep up with changing demand for business information. This research finds that providing business users with highly visual/interactive tools can help ensure they get what they need.
This collection is part of the ANA Magazine Thought Leadership Series sponsored by SAS. The articles explore the variety of ways to use analytics to create marketing functions that are more accountable and profitable.
The banking sector routinely manages massive amounts of data, ranging from financial transactions to customer, operational and regulatory data. All this data means big challenges - but also big opportunities - for the industry. Find out more now!
Learn what criteria distinguished certain companies as top performers within the SMB sector, the factors to consider when assessing your organization's BI competency and the required actions to achieve best-in-class performance.
This white paper provides a blueprint for action for senior marketers and decision makers across the enterprise. It provides straightforward advice on how to build a more durable and profitable customer base.
This paper defines predictive analytics, then details ways this type of analytics can be applied to marketing, risk, operations and more. It also includes information relevant to a wide variety of industries - from manufacturing to hospitals.
The Internet has proven to be a vital communications medium for worldwide commerce, but as an open and unprotected global network it can also present a wide range of threats that can cripple any business organization. Several years ago, most Internet threats were relatively benign examples of a young adolescent’s technical expertise but over time they have evolved into increasingly sophisticated domestic and foreign attacks that are designed to capture financial, personal, or strategic business information. Threats now come in the form of deliberately malicious acts, and exploitative opportunities for hackers and/or organized crime. The impact is serious, and the landscape of victims is getting broader every day. In response, no organization can afford to have its networks remain unprotected.
Published By: Actimize
Published Date: Oct 10, 2007
According to the results of Actimize's 2007 Employee Fraud survey, which was managed by Infosurv, an independent research company, financial services institutions know that they have a significant and growing problem with employee fraud and are not fully prepared to handle the threat as attacks from organized crime, dissatisfied staff and financially distressed employees become more sophisticated.
How does an organization make the best use of data, and what is the proper role of IT? This paper describes how organizations can foster a culture of data analytics that promotes cooperation and collaboration between IT and business.
Fraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? Technology is redefining what’s possible in fighting fraud and financial crimes, and SAS is at the forefront, offering solutions to:
• Protect from reputational, regulatory and financial risks.
• Reduce the cost of fraud and financial crimes prevention.
• Gain a holistic view of risk across functions.
• Include cyber events in regulatory report filings.
In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security. SAS fraud solutions use advanced analytics and artificial intelligence to help your organization better detect and prevent fraud. By applying analytics and powerful machine learning on a unifying platform, SAS helps organizations around the globe detect more financial offenses, reduce false positives and run more efficient investigations.
In a webcast co-hosted by the AMA and SAS, presenters described three areas of focus for using social media, and the five best practices for being effective in social media. This paper provides a summary of that webcast.
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively.
So how can financial institutions respond to this growing threat?
Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs.
Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
This paper presents the 5 most common practices that result in losing a customer and how to avoid those pitfalls. You'll also learn how more customer-centric measures can help you deepen and grow relationships with your most valuable customers.
There are three things that senior executives in the financial services industry want from their investments in computing systems. They are the same three things these institutions require for their very survival. First is unwavering security. The integrity of customer accounts and records is paramount to maintain trust across the financial ecosystem. Cybercrime is anathema to the core function of banking and cannot be tolerated. Next is captivating, personalized experiences based on real-time data analytics leading to instantaneous customer fulfillment. And finally, there is the essential delivery of these secure experiences while providing a cost and efficiency advantage over competing solutions
This white paper provides insights into the current threat landscape for the financial services industry. Information is based on cyber security event data collected by IBM, as well as data derived from responding to, and performing forensics on, cyber security incidents.
Financial organizations are deploying artificial intelligence and machine learning in the fight against financial crimes. David Stewart, Director of Pre-Sales for the Global Security Intelligence Practice at SAS, offers tips to help separate fact from market hype when reviewing new data analytics tools. You’ll learn about:
• The new industry intrigue with artificial intelligence and machine learning.
• How these emerging solutions can benefit financial institutions.
• The SAS approach of “crawl, walk, run” when it comes to adopting new analytics tools.
These emerging technologies and solutions certainly are not unique to financial services. But Stewart, a business director of security intelligence solutions within the SAS Security Intelligence
Practice, sees particular interest and application in AML circles.
"There remain a good number of manual processes within financial crimes departments in financial institutions, and AI can help automate some of those rote tasks such as document review or alert triage," he says. "Due to investments in technology, there is a lower barrier of entry for midsized institutions. "And finally, there's this anxiety over the unknown - those risks they are not able to detect, that may be hidden using traditional techniques - so they're hoping that more advanced, unsupervised learning techniques can be used to identify those edge cases or behaviors that are out of norm." In an interview about analytics and the AML paradigm shift, Stewart discusses:
• The new industry intrigue with artificial intelligence a
Featuring Andy Schmidt, Principal Executive Advisor
Knowing your customer is key to driving a successful strategy for client security and retention. Watch this video to get a picture of how KYC can be deployed for risk minimization, work with compliance, and make security measures more frictionless using cutting edge technology.