Insurers are the original masters of predictive analytics. Beyond actuarial tables and databases of historical weather patterns, predictive analytics focus on the kernels of wisdom that can be gleaned from patterns in customer, agent, product and financial data. For example, robust analytics can help you determine a customer’s propensity to buy additional products at any given time, converting every customer touch point into a potential real-time opportunity. Statistical models mature into predictive models, teasing out the reasons behind high-performing products or customer segments and proactively detecting fraud. Across the enterprise, sophisticated analytics are key to charting a successful path forward.
We offer services in analytics and big data, predictive analytics, data mining, risk and regulatory and more. Likewise, our enterprise performance management services help to establish a data-driven enterprise. We begin with integrated, transparent data around key performance indicators. This gives leadership the ability to make intelligence-based business decisions. Proactive enterprise performance management provides senior leadership and business managers the deep customer, product and risk insights to visualize scenarios, harness new opportunities and quickly reshape growth strategies. However, behaving as a data-driven enterprise also requires your culture, people and processes to embrace data as a key input to decisions big and small.
Our INSight Segmentation and Analytics for Insurance helps you capitalize on opportunity by increasing revenue via cross-sell and up-sell opportunities, reducing costs and improving customer satisfaction. You can also benefit from seamless data management, as your business-driven master data management foundation enables integrated business processes across your application ecosystem. With effective data management, organizations can mine customer data to identify the most profitable policyholders, increase product penetration per household and offer a targeted appeal to new customers. Over time, a strong data management foundation enables you to selectively incorporate new external sources of structured and unstructured data — such as social media, wearables and telematics — and draw insights through big data analytics.
Everest recognized us as an Aspirant for Big Data & Analytics Services in Global Insurance. — January 2017
Chart a successful path forward by leveraging advanced analytics and data to make intelligence-based decisions using customer, product and risk insights.
- Segment and analyze data to capitalize on cross-selling and up-selling opportunities
- Establish seamless, integrated data management processes across applications
- Mine customer data to identify the most profitable policyholders and target new markets
- Seamlessly manage data and build a business-driven master data management foundation