Our Insurance Expertise

  • Even before the ongoing global pandemic, insurers were being impacted by digital changes. Insurers are shifting to a more proactive paradigm as a result of digital advances fueled by Big Data, Predictive Analytics, and Cognitive Computing. This has led in more precise risk assessment and improved real-time business insights, which aid in the prevention of losses rather than paying for them afterward. Data analytics technologies have gained tremendous traction in the insurance industry because they enable the adoption of a proactive business model in which critical business processes such as data entry, insurance claim processing, personalization, and fraud detection can be significantly improved in terms of speed, accuracy, and relevance.

    This trend toward developing a proactive business model based on sophisticated analytics means that insurance firms will have to cope with ever-growing data banks. As a result, it has become a commercial necessity for insurance businesses to get on the data analytics bandwagon as soon as possible in order to capitalise on new possibilities more safely, securely, sustainably, and economically while enhancing client experience.

  • In order to remain relevant, insurers must transform into hyperintelligent, AI-driven enterprises. They must deliver personalised, trustworthy client experiences as well as innovative risk solutions while controlling costs and adhering to regulatory constraints.

    We have a large presence in the insurance business, with insurers effectively implementing our sophisticated, cloud-native analytics in areas as diverse as customer marketing and servicing, pricing and underwriting, claims and fraud management, and compliance and financial management. Our technologies provide a variety of implementation choices, backed up by a comprehensive catalogue of services, to produce quick wins and a swift return on investment. We can also assist you in fulfilling your digital transformation goal while controlling risk, guaranteeing company continuity, and achieving a faster time to value.

 

  • We collaborated closely with Zurich Insurance's UK Personal Lines marketing division to cross-sell and up-sell to current clients, particularly through new channels such as email and SMS. This entailed cross-referencing and segmenting customer data in order to find clients with relevant contact information, as well as profiling the sorts of customers who are likely to respond to cross-selling initiatives. We were in charge of operating some of the monthly processes, such as the renewal retention model - a SAS predictive model designed to score home and auto insurance clients immediately before their renewal date, in order to prioritise which customers get a phone call with a reminder.

Here are some of the projects we have worked on.