Consumer Behaviour and Marketing
By enabling the clients to acquire new customers, identifying customers, designing Segment-Based Retention strategies with Acquisition and Churn Analytics.
AI solution is used to reduce the insurance claim cost and reduce the cycle of claims from days to hours. It enables the use of localisation and timestamp features to reduce the frauds in order to improve the accuracy and consistency of claim value. With the use of AI technology, it becomes possible to automate the claim process and introduce the tracking mechanism for claim process. This helps in improving the customer satisfaction and retention rate of them.
It provides strategic approach to Data Governance as Collecting, Safeguarding, and analysing Big Data. The most prominent governance goal is to provide the reliable and accurate data for risk aggregation and reporting including data accountability and traceability. Enables smarter decision making by spotting trends, patterns and hidden insights by visually exploring data sets of any size. Uncover unexpected insights, find answers to complex problems and quickly identify new and better courses of action by visually exploring your data.
Real-Time Data Analytics provides fast updates and course corrections for the most effective route forward.It monitors risk and customer behaviour, and takes actionable steps in Real-Time or near Real-Time, leading to improved underwriting and pricing of current products.
It enables Supply Chain Analytics, Claims Analytics, Call Center Analytics, Workforce Analytics, IT Operations Analytics, Spend & Usage and Behaviour Analytics to gain deep insight into the actions to improve operational efficiency. It reduces costs and optimize business and financial performance, payments processing, branch and channel performance and sales management, which in turn enable Insurance Companies to plan more strategically and effectively for the future.
It identifies patterns in the user data, business opportunities and fraud risks. It reduces data security breaches, payment and transaction fraud. It includes Finger Print Identification, interpret DNA sequences, Seismic Analysis, Image Processing, Segmentation and Analysis, Computer Vision.
Recommendations based on identified patterns, Asset Management, Liability Management, Automated Decision Modeling, specific analytics decisions, Decision Profiling.
Receives Real-Time and current information needed and used, Telematics and Sensors for collecting customer's information, personalised attention to customers, monitors customer's goal and behaviour through Robo-advisors and understands their emotions.
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