AI & data governance

DBS aimed to improve the use of its data across various touch points. Significant pain points in governance hindered effective application. Consequently, structuring data knowledge to facilitate frictionless access, discovery, understanding, and trust in the bank’s data became a key goal.

PALO IT worked with DBS to develop a metadata and context modeling strategy guided by principles that balanced time-to-metadata with time-to-information delivery. This involved digitizing, automating, and crowdsourcing processes wherever possible.

Banco Santander sought to optimize the structure of their data to enhance results and improve decision-making. They approached PALO IT to coordinate activities related to big data, forming a committee to align their strategy with corporate objectives.

Our team aligned the company’s architecture, governance, and institutional data quality strategies. What’s more, we designed and formalized the institutional regulatory framework for big data, implementing dashboards for easy oversight.