Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and
analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.
CA Technologies (NASDAQ: CA) creates software that fuels transformation for companies and enables them to seize the opportunities of the application economy.
Software is at the heart of every business, in every industry. From planning to development to management and security, CA is working with companies worldwide to change the way we live, transact and communicate—across mobile, private and public cloud, distributed and mainframe environments.
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice.
In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics.
Read this paper to learn how your organization can more effectively:
Compete – Secure the most powerful and unique competitive stronghold
Grow – Increase sales and retain customers competitively
Enforce – Maintain business integrity by managing fraud
Improve – Advance your core business capacity competitively
Satisfy – Meet today's escalating consumer expectations
Learn – Employ today's most advanced analytics
....and finally, render your business intelligence and analytics actionable.
Published By: MarkLogic
Published Date: Jun 21, 2017
Remember Y2K – the IT “problem” that should have brought businesses to a screeching half? Despite the hype, the preparation led to widely documented business benefits and uncovered new opportunities that transformed organizations worldwide.
Similarly in today’s highly regulated Financial Services industry, enabling GRC by integrating data from silos can be the driver for future business use cases like machine learning and anti-fraud detection services. GRC can be your catalyst for new opportunities.
Listen in as our panel of financial services experts discuss the keys to reinventing your data strategy.
How to align your GRC strategy with a business transformation agenda
How to ensure your organization’s approach to data management isn’t just a one-off solution, but a comprehensive one adaptable to changing regulations
How to navigate the increasing regulatory demands for granular data security
How to turn your compliance spend into new opportunities to earn revenue
People on the frontlines of public-sector fraud management have considerable need to detect, monitor and prevent fraud in real time. They recognize that speed in analysis, detection, investigations and simulations is the key to minimizing taxpayer dollars lost to fraud. Read the report to learn more.
The IBM Counter-Fraud Management for Insurance solution is designed to help insurers prevent and intercept attempted fraud while detecting, identifying, and building the case against past fraudulent activity and improper payments.
Published By: Attachmate
Published Date: Mar 20, 2013
Traditional fraud detection methods, such as application logging, can’t address the scale and sophistication of today’s threats. Find out how to get the visibility you need to better and manage enterprise risk with Luminet.
Published By: Attachmate
Published Date: Mar 20, 2013
Insider threats continue to challenge organizations, particularly as BYOD brings complexity to enterprise risk management. The latest Ponemon research highlights recent trends, risk factors and what organizations need to do now to reduce risk.
Learn why an Enterprise Fraud Management Platform allows for data to be shared more efficiently while simultaneously applying analytics to prioritize workflows, which will increase productivity per employee and assist insurers in detecting emergent fraud patterns in order to reduce loses.
The Payment Card Industry Data Security Standard (PCI DSS) is a global security program created to increase confidence in the payment card industry and reduce risks to PCI members, merchants, service providers and consumers. It was developed by the major credit card companies as a guideline to help organizations that process card payments prevent credit card fraud.
Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts and deploy results to the people who can use the information to eradicate fraud and recoup money.
Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.
Health insurers have long been plagued by issues of fraud, waste, abuse, error and corruption. Taking an enterprise approach to payment integrity – one that combines advanced data management and sophisticated analytics – can help payers detect and prevent fraud; effect positive change in how providers, employees and patients behave; and substantially reduce health care costs. Payers can achieve better outcomes when software support for the core disciplines of payment integrity run on a single platform.
How much are fraud, error, waste and abuse costing your organization? Costs to insurers are huge – as much as 25 percent of payments made. But data management and analytics can save the day. This paper discusses how data can be used to predict and detect loss in all its forms.
Controlling distribution of passwords to highly sensitive environments in no longer enough; learn more about Privileged identity management (PIM) and what you can do to monitor and control your business to finest level of detail possible.
Financial institutions need to consider a broad array of key business case components, beyond fraud loss reduction and fraud-management operating costs, when examining the business ramifications of various fraud-prevention technology approaches.
Cybercrime prevention needs to reach beyond fraud prevention. Organizations also need to consider deployment costs, management complexity, impact to customers and regulatory compliance. This document examines seven best practices for achieving effective, sustainable cybercrime prevention.
The IBM Security Trusteer Fraud Protection Suite offers a simplified approach to fraud management to help financial organizations more accurately identify and prevent fraud—all while helping to lower costs and improve the customer experience.