IBEXI Solutions caters to the information management needs of insurance companies through an integrated solution Biz-I. Biz-I provides a futuristic, scalable data model to caters to operational, tactical and management reporting and analysis needs for departmental and cross-functional use. It has multiple accelerators that crash time to solution and maximize value through focused information gathering templates, data quality programs, pre-built transformation routines and a robust implementation methodology. Insurers in both life and non-life operate in a highly competitive and regulator controlled business environment. The demands with regard to service quality and agility require solutions that are comprehensive yet flexibly designed. The Biz-I design offers just this, by embedding best in class industry practices from leading insurance business operating models. Concomitantly, it allows for local variations to be configured during design cycles. This results in quicker time to initial deployment as well as rapid adaptability to future changes in the business landscape. Biz-I is positioned to help insurers both maximize premium incomes and minimize insurance costs by making timely information available to the appropriate persons. The solution aids strategic decision making through use of a methodology that focuses on key performance indicators (KPIs) through the implementation cycle. It has extensions for external competitor data for benchmarking and goal setting.

Goals:

- To deliver insurance focused data warehousing Solution

- To empower business users by reducing dependency on IT

- To improve productivity of IT in creating the end-user artifacts Deliverable 's

- Decision support at enterprise and department level(ad-hoc reports, standard reports dashboards etc).

- Company performance on the basis of key ratios and concepts like Persistent ratio, Claims ratio, underwriting earning, conversion ratio(NB) etc

- Single, consistent and time dependent source of information at each level of organizational hierarchy