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Three of the top five Fortune 500 insurance companies use Cloudera Enterprise

Insurers have long struggled with data silos. Getting the right information at the right time is a challenge. Cloudera provides a new paradigm for breaking data silos. For the first time, insurers can blend and analyze data from any source, in any amount and for all types of workloads. The Insurance industry is undergoing a digital transformation, in which big data, machine learning and IoT are playing a central role.

Industry Brief: Digital Transformation in Insurance

Industry Brief: Transforming Life Insurance with Big Data and Machine Learning

Fight against claims fraud intensifies

Fraud is costing the industry $40 billion annually. The sheer complexity of fraud schemes has made existing methods of detection based on subsets of data obsolete. With Cloudera Enterprise, you can consolidate massive amounts of historical claims data and correlate it with other data sources such as adjusters’ claims notes, images, social media content, clickstreams, and web log data for real-time detection of fraud and identification of fraudulent patterns.

Major insurer reduces claims fraud and time to access data

Optimize claims subrogation for higher financial returns

Markerstudy Group Drives Growth and Innovation


Reduce exposure to risk

Profitable risk management is core to an insurer's business. Yet many are evaluating risk based on sample datasets and limited sources resulting in inaccuracies and losses. Accurate assessment of risk and risk-based pricing requires massive amounts of data from multiple sources for analysis. With Cloudera Enterprise, you can tap into more data sources such as geospatial, geo-location, web logs, weather and traffic data. Reliable risk categorization will enable you to enter growth markets, create better catastrophe (CAT) risk models, and offer new insurance products such as cybersecurity.

Driving Growth in Insurance with a Big Data Architecture - the SAS and Cloudera Advantage


Drive profitable growth with deeper customer insights

With a siloed view of customers and largely commoditized products, insurers are struggling to deliver targeted experiences and offers that increase loyalty, retention, and acquisition rates.  An enterprise data hub enables you to correlate data across multiple data sources including: geo-location, mobile apps, sensor, clickstreams, social media, sentiment, historical and behavioral data to obtain a 360-degree view of the customer. With deep insights, you can deliver contextually relevant experiences and targeted offers that increase conversion rates and help build customer loyalty.

Markerstudy Achieved 120% Increase in Policy Count in 18 Months

Transamerica: Using Deeper Customer Insight to Personalize Customer Solutions

Allstate Uses Cloudera Platform to Complement Existing System and Add Predictive and Prescriptive Analytics

Differentiate with usage-based insurance (UBI)

Programs such as Pay-As-You-Drive (PAYD) and Pay-How-You-Drive (PHYD) enable insurers to gain accurate and deep insights into individual policyholder’s driving patterns. Yet UBI coverage for many has been cost-prohibitive and difficult to support due to operational and IT infrastructure constraints. With Cloudera Enterprise, you can cost-effectively store and analyze sensor data to incentivize and retain customers. You can correlate sensor-based information with other sources of data such as traffic and weather patterns, historical claims and policy data to create granular risk and pricing models, beyond standard market segmentation.

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