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.
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.
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.
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.
Ernest Feirer, VP of Insurance Claims Solutions writes about using predictive modeling and data to identify claims that may become highly complex
Jeffrey Glazer, SVP and GM, LexisNexis Insurance Solutions makes a case for Analytics Across The Enterprise
Sandia sees data management challenges spiral
LexisNexis Brings Its Data Management Magic To Bear on Scientific Data
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