100%
Automate of financial management
80%
Automate of the treasury P&L calculation
100%
Catalog of the data lake and monitor it for data quality
“The ability of Informatica's team to prioritize the needs of Banco ABC Brasil and transform our relationship into a lifelong alliance is excellent. Together, the commitment to data innovation will support our journey on the road to upheaved financial services and a new era of data-driven decision-making."
Banco ABC Brasil
Banco ABC Brasil is a wholesale bank with more than 30 years in the market. Always expanding to offer complete solutions for companies and their stakeholders, serving the entire value chain finance of companies. Making informed decisions that balance opportunity and risk has always been at the heart of success in financial services.
Banco ABC Brasil has a wealth of financial and customer information that it can use to make strategic and data-driven decisions, but until recently most of that information was difficult for its analysts and scientists access.
Extracting data from source systems was a manual process, so it was often outdated when it was available to analysts.
With the mandate to provide its growing customer base with value-added financial products tailored to their needs, Banco ABC has completely reimagined its data strategy so that its analysts can make decisions based on accurate, reliable and timely data. Its transformation began in 2021, bringing new levels of data management to its IT analytics environment and driving a data-driven culture across the organization.
Rafael Kataoka, Chief Data & Analytics Officer and Data Privacy Officer, explains: "Our ambition was to transform Banco ABC Brasil into a digital powerhouse with big data analysis. In practice, this meant improving our data-driven decision-making to accelerate our digital credit processes while reducing risk."
Let's take the case for credit approvals. The bank needed to make data more accessible, actionable, and auditable so that its analysts had the right information available to assess applicants' credit ability. At the same time, it has proposed to improve governance and data quality to further streamline the credit application process while reducing its exposure to risk.
"We invested in a Data & Analytics department to foster, within the bank, a new era of data-based decisions. Thus, we were able to support new ideas based on solid evidence, aiming at greater satisfaction of our customers and leveraging our digital transformation and the creation of financial solutions to serve the entire finance value chain for our customers."
Improving analytics with a cloud data lake
To fulfill his data-driven ambitions, Kataoka created a data team that included analysts, engineers and data scientists, as well as a data security and privacy manager. The team started small, with a single project focused on how the bank evaluates credit applications. To succeed, the team needed to bring data from source systems to a Google Cloud data lake, where it could be analyzed. They also needed to allow data analysts to locate the most appropriate data assets to build analytical models for decision making.
Kataoka and his team evaluated several providers of data integration, quality, and governance solutions. They selected Informatica Intelligent Data Management Cloud for integration-as-a-service platform (iPaaS) and Cloud Data Governance and Catalog. These solutions position the bank to better understand data using a complete business glossary.
Kataoka chose Cloud Data Quality to perform automated data quality checks to validate that the data ingested in the lake is ready for analysis, while Cloud Application Integration automates Banco ABC Brasil's credit analysis process. With these solutions in place, the bank can build better credit risk models for real-time decision support using API integration.
"We selected Informatica because of market share, innovation, and ease of integration with the Google Cloud Platform," Kataoka says. “Informatica's cloud solutions enable us to integrate data volumes from different sources and ranges, and we can support a wide variety of data structures."
Kataoka uses the Informatica Intelligent Data Management Cloud to power data in Google Cloud Storage and Google BigQuery, where it runs powerful aggregation capabilities to determine customer credibility. Analysts and data scientists can quickly find the data they need to run their jobs using data cataloging, which provides metadata-driven data management and search capabilities.
A data-driven culture built on governance
With regard to governance, Banco ABC Brasil embarked on its transformation with three objectives. The first was to improve Business Intelligence by solving data integrity issues with the quality of the data that powers Salesforce. The bank then also set out to democratize access to its corporate data catalog and ensure governance over its critical data elements.
Finally, they needed a way to structure and govern business intelligence dashboards—expanding them with sources from across the corporate catalog, while monitoring data to maintain the highest quality standards.
"We needed to improve all of our processes using the best data, engineering, and architecture in the category, and we needed to rely on the best technologies and people to drive that change," says data governance expert, Julio Canado. "In addition to democratizing data, we also needed to drive better communication and governance among our internal teams."
With Cloud Data Governance and Catalog, Banco ABC Brasil has gained a scalable solution to sustain its needs for governance and strategic data management. In our journey we were able to ensure the completeness of critical data used by the planning and finance area. Combining Governance, Quality and Data Catalog in the Informatica Intelligent Data Management Cloud, the bank was able to catalog all the features associated with its BigQuery data lake and ensure the integrity of its intelligence platforms for business areas—through engineering, monitoring and improvement in ingestion processes.
The bank also strengthened its 360-degree customer management through Salesforce, using Informatica to monitor and improve the integrity of its CRM data. "By centralizing the governance of our data dashboards with Informatica Marketplace, we are able to provide a better experience and understanding of the information used to feed business area processes," says Canado.
Creating better predictive models 50% faster
By migrating to a cloud data lake, Banco ABC Brasil improved data self-service capabilities, scaled data analysis, reduced d costs, and monetized its data assets. Using Informatica's extract, load, transformation (ELT) capabilities, the data integration process takes place on an intermediate server before it is loaded into the destination. And because the data is already in Google Cloud, the team doesn't have to worry about moving data after it's ingested.
Analysts have a consistent experience across all types of data, allowing them to create better predictive models of customer credit value. This means that credit decisions are reversed up to 30% faster—and customer needs are met earlier.
Using a centralized data store, the team no longer handles duplicate or outdated information. "With Informatica powering our Google Cloud data lake, we can analyze rich data easily and intuitively," Kataoka says. We can ingest financial and customer data 50% faster and reduce our predictive model design and maintenance times by 60 to 70%. Outside of Informatica, our cloud data lake implementation would have taken six more months."
Cloud data integration enables data-driven insights for analysts
The results of Banco ABC Brasil’s transformation speak for themselves—a self-service BI platform with 50% of employees using data to build reports and accessing more than 500 dashboards, which were built in just a few months. Its enhanced data ecosystem, built around a data mesh architecture, allows it to ingest financial data in a variety of formats 110% faster.
This speed has in turn accelerated everything from customer credit applications to treasury P&L calculations, which are now 80% automated, as has all of the bank’s financial data management, data lake cataloging, and data quality monitoring.
"We invested in a Data & Analytics department to foster, within the bank, a new era of data-based decisions. Thus, we were able to support new ideas based on solid evidence, aiming at greater satisfaction of our customers and leveraging the digital transformation and the creation of financial solutions, in order to serve the entire value chain finance of our customers," says Marco Mastroeni, VP of Products and Innovation at Banco ABC Brasil.
By separating data ingestion from data operations, business teams not only have more flexibility to help accelerate the credit application process, but also to drive agile innovation and business transformation by offering new customer-centric digital services. With 70% of the credit application process being automated, the bank can offer a better customer experience.
Kataoka concludes: "The ability of Informatica's team to prioritize the needs of Banco ABC Brasil and transform our relationship into a lifelong alliance is excellent. Together, the commitment to data innovation will support our journey on the road to upheaved financial services and a new era of data-driven decision-making. Thus, we were able to support new ideas based on solid evidence—aiming for the greater satisfaction of our customers and leveraging our digital transformation—and the creation of financial solutions to serve the entire finance value chain for our customers."
Inside the solution
Intelligent Data Management Cloud
Cloud Data Integration
Cloud Data Quality
Cloud Application Integration
Cloud Data Governance and Catalog
Cloud Data Marketplace
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The Current State of Modern Data Management
