Bolstered by an increasingly competitive environment, particularly with the entry into force of generalised complementary health insurance in January 2016, Business Intelligence – real-time, forward-looking management of insurance companies – is becoming a crucial issue: it measures a company’s performance, produces indicators for refined management, and sets out the best strategy.
The five key stages when dynamically analysing data and producing indicators //
If they speed up access to information, our Business Intelligence market offers are still fed by internal information systems and sources outside the company. To successfully complete all the steps to perform a dynamic and forward-looking data analysis, and produce reports and indicators for management teams as frontline employees in the company, Optimind Winter offers a structured support process in five stages:
- Data collection: This is a key stage in which raw data for extraction from the information system to the Data Warehouse is specified. Our consultants are IT system experts who are experienced in this type of activity requiring a large number of exchanges between business teams and IT teams.
- Data reprocessing: This is a crucial step in data processing and describes the processing applied to raw data (controls, automatic correction for missing data, aggregation or even transcoding).
- Storage: This step has proven to be extremely technical because it describes the Data Warehouse needing to be implemented, as well as required perimeters and areas of analysis. Our support work here involves assisting with sizing (expense constraints, response times, hardware, etc.).
- Operation: In this stage the data is aggregated according to the areas of analysis particular to a given profession or use. It is stored in designated DataMarts, which are subsets of Data Warehouse.
- Reports: This is the last step in the chain where the user accesses his data in a dedicated user space. The use of data may be a fixed return, a return with a particular projection capacity and parameters for him to decide on himself, or even a set of data to be used by the user in ‘data repository’ mode, in other words in an exploratory manner.
Among the existing Business Intelligence tools, our consultants have feedback on the principal solutions choose by the insurance companies.
BI: Alignment required with different uses
Case study - Fields of application for Business Intelligence
Business intelligence for industrialised companies, industrialised reports //
- Upstream handling of mass data: centred on the acquisition and storage of detailed data
- Company credentials and cross-functional activity indicators
Specialised datamart, reporting and dashboards //
- Responses to specialised and recurrent questions
- Recurrent access to data by businesses
- Analyses managed by specialised business analysts
- Distribution to a set of predefined users
Self-service and exploratory business intelligence and ad-hoc analyses //
- Analyses conducted on request by business analysts
- Personal or individual targeted use, including external data for increased reporting (geolocalisation)
- Intuitive handling and exploration of data
- Response to ad-hoc, even atypical or exploratory, questions