Technology Reply Financial Services offers its customers solutions aimed at achieving the most challenging objectives with respect to Data Analysis, supporting the Business Intelligence processes of the Credit Supply Chain.
Our specialisation in Data Analysis and Reporting enables us to design and develop complex Data Warehouse systems to support Data Mining, Analysis and Reporting activities that are at the basis of managerial and regulatory processes.
Thanks to the experience and skills acquired, Technology Reply Financial Services is able to support the customer in the end-to-end data management process, from the initial phase of ingestion of the data, to its manipulation and transformation using the latest ETL systems.
Moreover, through the implementation of advanced monitoring reporting solutions, the use of Business Intelligence tools and the design and development of custom management applications, our consulting teams are able to support advanced historical and prospective data analysis activities.
Thanks to the experience gained over the years, Technology Reply Financial Services can offer itself as a key partner, capable of assisting the customer in managing all aspects of the DataGovernance paradigm, aimed at ensuring the correct approach to the evaluation, creation, saving, use, storage and deletion of information. This is achieved through:
With respect to the entities and the key systems and information falling within the project perimeter, we apply Data Quality methodologies such as the definition of a control framework based on key indicators in order to define a baseline for the evaluation of results (Quality Measurement), the creation of ad-hoc support for Business and IT structures (Data Compliance) and the identification of target/strategic tools designed to support Data Quality processes (Toolkit Definition).
To meet the growing needs of its clients in the Business and Compliance area, Technology Reply Financial Services has developed strong skills based on Data Management paradigms. Specifically, these pertain to the creation, enrichment and enforcing of a common and documented terminology (Data Dictionary), the identification of data required by the individual functional areas and the assignment of ownership and accountability roles (Data Ownership), and finally, the documentation of data flows, with a focus on facilitating root-cause and impact analysis (Data Lineage).