Banco Hipotecario's Data-Driven with Databricks
Banco Hipotecario has leveraged Databricks to transform its strategies for acquiring customers, cross-selling services, and enhancing overall profitability. With an emphasis on tailored banking experiences, the bank set out to modernize its operations due to the constraints posed by its outdated SAS system. The old SAS system was cumbersome, inflexible, and difficult to scale, leading to disorganized and unreliable data. Inefficient workflows further obstructed the bank's ability to perform timely analytics and work collaboratively on data science projects. Databricks, however, emerged as a pivotal force for change. Utilizing Delta Lake technology, it improved the reliability and performance of Banco Hipotecario's data lake, enabling the bank to collaboratively explore, generate, and integrate datasets at scale through SQL analytics, significantly shortening the time needed for insights. The introduction of interactive notebooks and MLflow also enhanced data science productivity throughout the machine learning lifecycle. The results of this transformation have been substantial. The improved reliability of the data lake expedited ETL processes for analytics and machine learning, leading to enhanced customer engagement and lifetime value. Banco Hipotecario experienced an impressive 90% increase in cross-sells of new products, greatly boosting customer retention and lifetime value. Moreover, the bank achieved a notable 35% decrease in the cost of acquiring new customers. This case study is presented by Databricks Solution Accelerators, and Orbitware, as the exclusive nearshore partner for Databricks in Mexico, is sharing this success story as evidence of the capabilities and innovations made possible through their partnership.