Governance and Data Quality

In today’s complex banking landscape, data governance is paramount.

Our client, a Tier 1 Investment Bank, grappled with challenges stemming from an adverse and fragmented data landscape, hindering regulatory compliance and decision-making.

Traditional solutions proved expensive, slow, and prone to errors, necessitating a transformative approach.

Ongoing data quality issues

Ongoing data quality issues impacted stakeholder confidence and referential integrity problems affected regulatory compliance.

Fragmented business logic

The fragmentation of business logic and the inability to quantify the cost of data quality issues further compounded the challenge.

TeraHelix’s innovative solution leveraged low-code/no-code capabilities for seamless data management.

TeraHelix introduced an innovative solution centered on automated discovery and inference, leveraging low-code/no-code capabilities to enable seamless management of data attributes, tags, annotations, and quality rules.

Preventative controls were implemented for early testing of model changes, ensuring issues were caught in the development cycle.

IMPACT

Consistent Understanding and Up-to-Date Documentation

A broad understanding of data properties led to fewer defects in production. Constantly updated documentation facilitated leveraging data across the bank within governance.

IMPACT

Analyst and Data Scientist Empowerment

Analysts are empowered to own data and define data rules. TeraHelix's revolutionary approach not only addressed the client's immediate challenges but also laid the foundation for sustained data governance excellence.

IMPACT

Improved Data Quality

Upstream source improvements resulted in fewer defects, accurate reports, and enhanced quality of metrics for strategic decision-making. By streamlining processes, empowering stakeholders, and enhancing data quality, TeraHelix enabled the client to navigate regulatory requirements confidently and make informed strategic decisions.