Prevent financial crime, improve operational efficiencies and enhance profitability.
Reduce expenses, combat fraud and achieve greater operational efficiency across multiple lines of business.
Protect your revenue, maximize operational efficiencies and enhance your ability to predict and prevent fraud.
Ensure appropriate access to health care, carry out health and disease management programs, and proactively reduce health care fraud.
Enhance investigations, derive insight from complex data sets, and combat fraud, waste and abuse.
Confidently grow your customer base and expand your services by efficiently managing risk in the customer life-cycle.
Confidently manage your customer base and control your revenue losses by efficiently handling risk in the customer lifecycle.
Do business securely and profitably by better understanding your customers, employees and vendors.
Increase your ability to detect and prevent fraud, contain costs and protect revenue with relevant information about people, businesses and assets.
Reduce financial and reputational risk by complying with evolving regulations and streamlining due diligence.
Make informed decisions by identifying, authenticating, investigating and monitoring individuals.
Increase workflow efficiencies, gain greater insight into debt portfolios, collect more in less time and achieve greater profitability.
Data Science That Makes a Difference
10 Reports Your Car Insurer Pulls About You
DataSift Recognized for Innovation in Social Data
Global Big Data Services Market
Big Data's Big Promise in a "Small World"
LexisNexis Risk Solutions Makes Elite100 by InformationWeek for Innovative Business Technology
Some Free Ways To Spot Identity Fraud
Big Data Aiding to Reduce Fraud
What's the future of the data center?
What Do Data Brokers Know About Me?
Tailored analytics bring power to population health management
New generation SciVal - Serving the world of research even better
See how different companies use big data to gather business insights
Collect More Cash with Predictive Analytics
Vijay Raghavan, Chief Technology Officer discusses the use of big data and the important balance between safeguarding customer privacy and data gathering.
How LexisNexis Competes In Hadoop Age
Reed Elsevier Q1 underlying revenue grows. LexisNexis Risk Solutions' strong growth in the quarter reflected sales of data and analytics in the insurance business.
New software makes obtaining and organizing mission critical information easier than ever.
Jeffrey Glazer, SVP and GM, LexisNexis Insurance Solutions makes a case for Analytics Across The Enterprise
Sandia sees data management challenges spiral
For media inquiries please call 800.227.9597 ext. 56044
or send a message using our LexisNexis online inquiries form