
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.
In recent years, banks have accumulated large amounts of data from business and now it is time to turn data into money. Such great amount of data provides a big opportunity for analysis. Simplify the way you gather data, have a single point of truth and ensure data quality, consistency, accuracy, complexity and the right timing.
Banking Data Warehouse model is business oriented, designed to support different business needs from regulatory and daily / weekly / decade / monthly operational and management reporting to very complex ad hoc analysis and simulations. Our Data Warehouse model is based on industry standards and implementation best practices.
The Financial Industry Business Ontology (FIBO) is a business conceptual model that describes how all financial instruments, business entities and processes work in the financial industry and Banking DWH model follows the logic of FIBO and shares the same ontologies as FIBO and use same business glossary (Customer, Party, Location, Account, Collateral etc.)
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.
The Financial Industry Business Ontology (FIBO) is a business conceptual model that describes how all financial instruments, business entities and processes work in the financial industry and Banking DWH model follows the logic of FIBO and shares the same ontologies as FIBO and use same business glossary (Customer, Party, Location, Account, Collateral etc.)
Banking DWH model® is an exclusive intellectual property of Poslovna Inteligencija. PI grants a nontransferable and nonexclusive right to use the Banking 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.