minimizingclaims leakageusing machinelearning...
TRANSCRIPT
© 2015Hortonworks, Inc. All rights reserved. Hadoop and the Hadoop elephant logo are trademarks of the Apache Software Foundation.
Claims leakage is a common challenge for the insurance industry. Today’s organizations use claims audit tools to optimize training, business rules and processes in an attempt to reduce leakage. But these are retroactive processes—they only catch leakage after the payment has been made. Moreover, it is not commercially viable to review every claim for leakage.
Insurance companies seek competitive advantage by building capabilities to: 1) identify points in its process flow that are at greatest risk for claims leakage to occur, 2) streamline and systematize procedures and 3) to harness big data analytics for new applications. Today, claims leakage forensics occurs after the fact. By capturing big data and processing it with machine learning techniques, carriers can automate leakage analysis and apply it in-‐line with claims processing to evaluate and optimize payouts. This helps minimize leakage by detecting it and correcting it promptly.
Skytree Infinity™ is an enterprise-‐ready Machine Learning (ML) platform designed from the ground up to efficiently work on massive and fast changing datasets. Skytree Infinity’s scalable architecture performs state-‐of-‐the-‐art ML methods that were previously not possible on large data sets. The fundamental design of Skytree Infinity incorporates advanced algorithms from ML research to achieve speeds that are orders of magnitude faster than existing approaches. As a result, Skytree Infinity is ideal for complex analytics on big data such as claims leakage.
Skytree Infinity is fully certified and runs natively on the latest version of Hortonworks Data Platform (HDP). It provides integrated Machine Learning capabilities via YARN and Spark—enabling customers to implement powerful end-‐to-‐end analytic workflows from a single common platform.
Minimizing Claims Leakage Using Machine Learning on Hadoop
Use Case
THE PROBLEM THE SOLUTION THE BENEFIT Insurance firms often overpay for claims. This is called claims leakage. Currently, determination of claims leakage is an expensive forensic process and leakage represents the largest expense item for insurance companies—often up to 70 or 80% of the operating cost.
A combination of Apache Hadoop and machine learning is required to store and analyze patterns in existing claims and available forensic data. The resulting models can then incorporate the learning in-‐line with new claims processing and optimize payouts.
With machine learning on big data, insurance firms pull forensic insights upstream and insert them in-‐line with claims investigation, evaluation and settlement. In this way, they achieve big savings by reducing operating costs and claims overpayments.
Partner Brief
www.hortonworks.com
“With the exponential growth of Big Data, Machine Learning is a necessary tool to manage advanced analytics. We believe that the combination of Skytree Infinity with Hortonworks Data Platform will allow customers to get more business value from their existing infrastructures with predictive analytics over large-‐scale data sets.”
Dylan Steeg Vice President, Business Development Skytree, Inc.
© 2015Hortonworks, Inc. All rights reserved. Hadoop and the Hadoop elephant logo are trademarks of the Apache Software Foundation.
Skytree in the Modern Data Architecture
Evaluate
Litigation
Value/Negotiate
Straight3through4processingExample:)Glass,)towing
xxxx
Contact4carrier
Carrier
Carrier4 claim4operations
SIU
Obtain4information
Verify4coverageP
P P P
Initiate4services
Settle4claim
Salvage/Subro
Close4claim
Claims4Audit Leakage4Determination
Machine4Learning4for4Claims4Payment4Optimization
Machine4Learning4for4Fraud4Detection4&4Leakage4Risk4Determination
Predictive4Model4Update
For additional questions, contact: • Skytree, Inc.
www.skytree.net (408) 392-‐9300
• Hortonworks www.hortonworks.com (855) 8-‐HORTON
Hortonworks is a leading commercial vendor of Apache Hadoop, the open source platform for storing, managing and analyzing Big Data. Hortonworks Data Platform, our distribution of Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy Big Data solutions.
Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop an enterprise data platform. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators and technology vendors.
Hortonworks. We do Hadoop.
FEATURES & BENEFITS OF COMBINED SOLUTION
• High-‐speed analysis of information collected in Hortonworks Data Platform (HDP) at scale
• Support for a wide variety of data formats and sources • Integrated and tested support for HDP as part of the
Hortonworks Technology Certified partner program • A comprehensive solution that supports a variety of
analytic methods and algorithms to provide predictive analysis with Skytree Infinity
• Close integration of Skytree Infinity with HDP for seamless deployment in existing Hadoop clusters, without the need to move data
Skytree®—The leader in enterprise machine learning on big data, is disrupting the advanced analytics market with a machine learning platform that gives organizations the power to discover deep analytic insights, predict future trends, make recommendations and reveal untapped markets and customers. Skytree’s flagship product—Skytree Infinity™—is the only general-‐purpose platform on the market, built for the highest accuracy, speed and scalability.
Skytree is a Certified Hortonworks Technology Partner The Hortonworks Certified Technology Program reviews and certifies technologies for architectural best practices, validated against a comprehensive suite of integration test cases, benchmarked for scale under varied workloads and comprehensively documented.