An innovative company specialized in poultry and other fowl, Amadori is a leader in Italy’s food and agriculture industry, having posted over €1.2 billion in revenues for 2015. Founded over four decades ago in San Vittore di Cesena, the company now has production facilities, sales and other branches throughout Italy and employs some 7,400 people. Today, Amadori‘s strong roots and focus on the future, together with the quality, security, and transparency that are the company’s hallmarks, have made the organization one of Italy’s leading players in the food industry.
Having developed the company’s information systems over the years, the unit responsible for data warehousing and business intelligence systems is now committed to further facilitating and accelerating decision-making processes and contributing to make the business even more competitive.
To do this, the unit chose to take advantage of the company’s vast wealth of technology to provide the internal business community with a tool that can help them to understand, explore, and collaborate on the company’s data model. As such, it was necessary to fully describe this data model and to establish a cross-functional glossary (for both business and IT areas) in order to enable business users to take full advantage of the data available and to allow for the dissemination of self-service business intelligence within the organization.
The project in 3 steps:
- Automated reverse engineering from the data warehouse
- Revision of the model and creation of the business glossary with the business users
- Distribution of the model and the glossary alongside business reporting
In order to achieve these goals, Amadori has turned to Indyco to survey and model the existing data, with an initial focus on one single area of the company, and then to fully extend this information to the entire organization.
This step has made it possible to design a conceptual model of company data, and each component of this model has been used as the basis for creating the business glossary and establishing the business rules. As the model was being designed, the business users were asked to validate it by way of a process of shared understanding, during which the users were able to contribute their own knowledge to the business glossary.
In this way, it was possible to provide the business users with a “map” of the business data integrated with all of the definitions from the business glossary.
This process helped to enhance the data culture within the organization and paved the way for the self-service reporting.
The greatest benefit to come out of the use of Indyco is that the tool allows for greater collaboration and makes it possible to take an approach to data that unites the realms of business and IT, which may not always speak the same language.
Being able to interpret and understand the wealth of data available, business users can play an active role in change and work alongside the IT team in their efforts to bring process innovation to the company. With the dissemination of Indyco within the various areas of the organization, anyone will be able to access the knowledge inherent in their company data, regardless of the front-end technology being used.