Companies are constantly searching for ways to get into control. Detailed knowledge about the company’s business objectives and how to realise them is usually scattered over the place and (un)safely stored in the heads of a minority of people within the organisation. Whether this relates to data management or business rules or system development it all comes down to a lack of structured knowledge.
We developed a method to concentrate and automate all available knowledge in one single application: “the product configurator”. Base of this method is an ontology which covers a complete domain like pensions, banking, health care and retail combined with an automated way of work. This knowledge can be configured by the business transforming single bits of knowledge into information, enabling our customers to get grip of their own products, processes and data. We call it Model Based Engineering and it is the linking pin between business and IT. Product development, system engineering, data classification/migration and (model based) testing are a fraction of the ways we can put our configurator into use. Next to that it plays an important role in our pension solution where we combine the development speed of the OutSystems platform, with the flexibility and robustness of our pension administration solution, empowered by the configurator with all of the underlying business requirements.
The method is effectively put into place during several projects within the pension domain resulting in a customer base of over 80% of the domain including all large players. Example of this is the automated implementation of a data quality framework at one of the largest pension providers. Since the end of 2019 we also extended the method to other domains like banking and we are working together with different system suppliers to extend our base.