Construção de uma taxonomia corporativa de dados bancários gerados em canais de atendimento eletrônico

Abstract

In the information era, management and efficient use of company's information assets are essential to keep its competitiveness. In a banking institution, for example, a large volume of data is produced daily related to transactions performed on electronic channels by customers. These data are generated, stored and accessed by different information systems, in the form of unstructured transaction logs. Such systems work with these data for operational purpose only. In today's Big Data era, banks realized that these logs, produced, stored and accessed by information systems, are excellent sources of internal information and, thus, should be used strategically, going beyond the primary purpose for what they were generated. The right organization of these data, to be used by different business areas with different needs, becomes relevant for knowledge acquisition and decision-making. The need to create a properly organized corporate data repository, which will support company´s managers and decision makers, is justified in this scenario. Store these data in a semi-structured data repository seems to be an adequate alternative, considering the diversity of transactions, the large volume of unstructured data current stored by banking cannels information systems, the irregular transaction structures and the continuous evolution of products and services offered by banks to their customers. In this scenario, the need to define a controlled vocabulary, which terms will be appended as labels to the existing banking transaction log´s data, arises. The construction of a corporate taxonomy for banking products and services is desirable as a solution to standardize terms and concepts to store the banking transaction logs data. The present study aims to evaluate the applicability of a corporate taxonomy to organize bank data. For this purpose, the operational procedure for construction of corporate taxonomy proposed by Aganette and Teixeira (2017) was used. This procedure was evaluated and applied in a banking institution. The procedure application resulted in the construction of corporate taxonomy for data and in some recommendations for the operational procedure improvement to create corporate taxonomy in data organization perspective and data structuring point of view.