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With digitization of information The volume of data has grown exponentially since the 1960s. Data has also accelerated change, which in turn has created data sources and demanded speed in decision-making. In this environment, speed in decision-making has become a competitive differentiator. With the growing volume of data and demand for speed, algorithms (Analytics) have confirmed their importance in the new socio-economic arena. The credit bureaus, whose value proposition is to provide tools for evaluating credit, have adopted Analytics, broadened their scope of services and started offering solutions that also have an impact on companies' bottom lines.

Analytics has been one of the biggest investments of the bureaus in innovation. It brings together computing, technology, data science, mathematics, statistics and business. inputs knowledge of the business and the market; technical modeling; and knowledge of technology. The fusion of these major areas in this structure called Analytics allows the bureau to find a continuous channel for innovation. And the translation of this is the new answers, new products and solutions that have been developed and put on the market. market.

Objectively, analytics are sets of mathematical models translated into software and computer programs in the form of algorithms. The analytical permeate the bureau's activity from start to finish, from the acquisition, storage and processing of dataand the modeling process and the actual return of the credit ratings to the market. And there are millions of pieces of data or millions of variables evaluated.

This new way of doing analytics enables scores such as the renegotiation of debtand anti-churn, among others, permeating the activities of the ecosystems of customers' businesses, which are based on the data that people leave on their cell phones, on the Internet, on any digital resource, and which the bureaus are able to translate into score.

With the introduction of Positive data and new data sources, the use of analytics has made it possible to provide a huge range of new scores, in addition to the traditional credit rating for individuals and companies. This evolution in the world of analytics allows our clients and the national credit market to reach new heights, reducing defaults and fraud, increasing transactions and the volume of their portfolios.

Decision-making aimed at obtaining financial results is also fertile ground for bureaus in the current scenario. When we talk about developing intelligence to, for example, help customers identify who is most likely to make a particular investment, this is an expansion of the bureau's activity, which starts to provide scores for investments. But it's also possible to create scores for insurance or for the propensity to consume certain products. This translates into the bureau's business, its contribution to the national economic scenario, its ability to impact the economy of various segments, retail, industry, services, companies of all sizes, including those of all sizes. fintechs that emerge as possibilities for consumption and use.

An important characteristic of the Analytics world is that it is Darwinian, as it evolves naturally and adapts to new realities and market demands. So we find new applications, new ways of providing intelligence to our clients for their decision-making process, considering the volume of data and the need for rapid decision-making. Today, in addition to the microservicesWe have new reports, all available in the cloud for clients, which allows us to aggregate a whole new family of scores, a whole new family of analyses in a single report. In this way, the business model evolves, with Analytics bringing a new socio-economic dynamic.

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By: Elias Sfeir President of ANBC & Member of the Climate Council of the City of São Paulo & Certified Advisor