
Make informed and data-driven decisions and transform information into meaningful actions. Turbulent times of saturated markets and new regulations, highlight the importance of the availability of the right information at the right time for the (re)insurance industry.
Insurance DWH model helps you make the right decisions and take appropriate actions that will affect your decision-making process. It provides the basis for quality analysis of available data by deriving accurate information from data. Insurance Data Warehouse Data Model is a standard industry data warehouse model applicable for both life and non-life insurances. Based on data represented in the model, all standard insurance reporting and analysis Data Marts can be delivered.
Insurance DWH model is based on ACORD Framework, which streamlines standards creation and development, provides a base for model-driven development and maintenance of standards, and serves the entire insurance industry. The ACORD Framework consists of five interrelated models (facets) with different views to define the nature of the insurance industry:
The data warehouse resulting from our model enables insurances to exploit the potential of detailed information previously locked in legacy systems and inaccessible to the business user. PI Insurance DWH Model is a platform-independent solution that offers the scalability and flexibility needed to address existing and future data consolidation requirements.
Product framework
Petrol is a company that operates in several industries; Oil and Gas, Retail and Utility. Different business requirements are challenging to fit to same reporting structures. Retail DWH model is covering most of our important business areas. It is flexible, easy to use and modify so implementation of selected Subject area is quite fast. Subject areas designed in the model are also great reference for Business Analysts when elicitating and structuring business requirements.
Telco DWH model has been proven to be flexible and easy to use which enabled faster time to the market of CT products and significantly easier maintenance. It did not require any changes since the implementation few years ago, besides integration with new systems, which is the best indication of its quality.
We are producing and collecting anenormous amount of data. Implementation of Telco DWH model enabled us to achieve competitive advantage by allowing clean data consolidation across multiple systems, minimized our development cost and helped us transform our business requirements into solution that works best for us.
Make informed and data-driven decisions and transform information into meaningful actions. Insurance DWH model helps you make the right decisions and take appropriate actions that will affect your decision-making process. It provides the basis for quality analysis of available data by deriving accurate information from data… Download our document and learn how this solution helps your business!
Insurance DWH model® is an exclusive intellectual property of Poslovna Inteligencija. PI grants a nontransferable and nonexclusive right to use the Insurance DWH model®, with delivered customizations and extensions to its Customers who purchased the model.
Improve your decision-making process based on quality data using advanced analytics and be a part of digital transformation. Extract consumer insights to learn more about their preferences and reinvent the customer experience.
Gain insight into customer trends and historical data – optimize discounting, improve retention and segment your customer base to effectively acquire new customers. Data warehouse provides the basis for quality analysis of available data by deriving accurate information.
Make informed and data-driven decisions and transform information into meaningful actions. Turbulent times of saturated markets and new regulations, highlight the importance of the availability of the right information at the right time for the (re)insurance industry.
Retail DWH model ® is standard industry data warehouse model applicable for retailers and wholesalers, covering traditional Business Intelligence requirements, regulatory requirements and Big Data Analytics requirements.