The Client
A large banking and financial services institution operating across retail, risk, collections, and marketing functions, this organization manages one of the most complex data environments in its market — spanning 120+ source systems, 3,100+ datasets, and approximately 1.5 petabytes of data. With over 2,200 high-risk PII elements in motion, at rest, and in consumption, the bank required a data platform capable of delivering enterprise-grade security, governance, and performance at scale.
The Challenge
-
Data Spread Across Siloed Systems:
Data across core banking, CRM, risk, collections, and marketing caused slow reporting and stale insights, undermining timely decision-making across the business.
-
High-Risk PII Exposure:
2,200+ PII elements required protection in motion, at rest, and in consumption — across 120+ systems and approximately 1.5 PB of data.
-
Weak Governance and Compliance Risk:
Manual controls and inadequate governance processes increased regulatory risk under PII and DPDP frameworks while slowing the production of regulatory reports.
-
Data Trust Deficit:
Quality issues and inconsistent definitions across source systems eroded organizational confidence in data, limiting the effectiveness of analytical and reporting initiatives.
The Impact
- 98% Faster data insight delivery
- 1,200+ Dashboards and reports built and supported
- 15 months Full implementation completed 9 months ahead of schedule
The Solution
Hoonartek built an enterprise Databricks Lakehouse capable of supporting batch, CDC, API, file, and streaming ingestion patterns — providing the flexibility to connect all 120+ source systems under a single, governed data platform. Data layers were standardized using a Bronze → Silver → Gold architecture, creating clear distinctions between raw, cleansed, and business-ready datasets. MDM and golden records were implemented to establish consistent, authoritative customer and reference data across the enterprise.
Secure delivery was enabled via data marts and secure SQL endpoints for both business analytics and regulatory reporting. A comprehensive governance framework was established covering lineage, audit logs, monitoring, DevOps pipelines, data quality controls, and PII protection aligned to DPDP requirements — covering all 2,200+ high-risk data elements in every state of transit and consumption. The full platform was delivered in 15 months, 9 months ahead of the original budget timeline.
Key Benefits
-
Insight Speed:
98% faster data insight delivery — from 30 hours down to 45 minutes or less — across 1,200+ dashboards and reports.
-
Data Trust:
Governed data quality and consistent definitions restored organizational confidence in data assets across the enterprise.
-
Regulatory Compliance:
Stronger governance, audit trails, and comprehensive PII safeguards significantly improved the bank’s compliance posture under DPDP.
-
Operational Efficiency:
Standardized pipelines and reusable data products reduced operational effort and cost across the data engineering function.
-
Delivery Excellence:
Full enterprise platform implementation completed in 15 months — 9 months ahead of the budgeted timeline.