WHAT IS THE INSURHUB ANALYTICS VALUE?
Built exclusively on the Microsoft Azure platform, Insurhub Analytics is a cloud-based solution that allows insurers to leverage their core customer, finance, actuarial, policy, claims, and relevant external datasets to capitalize on the potential of data and shift the lens from hindsight to foresight leveraging pre-built predictive analytics models. InsurHub Analytics helps insurers accelerate common pressing business priorities such as market growth, customer engagement, product innovation, business optimization, and predictive risk management.
HOW DOES IT WORK?
Our experienced data advisory team will assess your environment, establish areas of focus and design a roadmap based on your pressing priorities that include a secure data foundation, data management best practices, an industry specific reference data model, pre-built analytical models, and a library of data visualizations providing insights to the business. In just 4 weeks, you will understand your current state and establish a plan to accelerate your adoption of Insurhub Analytics such that you are able to realize the most from your data.
DELIVERABLES
- Accelerated Technical Analysis & Advisory
- InsurHub Analytics azure services deployed in Modern, Cloud-Based Architecture
- Industry Specific Reference Data Model and Data Connectors into Common Source Systems
- Industry Specific Predictive Analytics Models
- Industry Specific Power BI Data Visualization Dashboard
- Presentation for Phase 2 Roadmap
WEEKS ONE AND TWO // ANALYSE AND ADVISE
Accelerated Technical Advisory, Assessment of existing data estate, Assessment of analytics readiness, Establish areas of focus for PoC
WEEKS THREE AND FOUR - DEPLOY AND PRESENT ROAD MAP FOR PHASE 2
Deploy InsurHub Analytics within the established areas of focus as decided upon in weeks one and two, Present Proof of Value/MVP for InsurHub Analytics on established priorities, Present phase 2 road map, Knowledge transfer.
Pricing is variable based on the requirements, scope and complexity of the project.