Searce Modernizes Data Infrastructure for a Century-Old US-Based Community Bank
Challenges
A 100+ year old American community bank that offers commercial banking, savings, loans, investment services, and trust advising, sought Searce’s expertise to modernize their Data Warehouse.
- They aimed to transition from a Microsoft SQL Server environment hosted on an IBM Cloud VM to the cutting-edge capabilities of Google Cloud.
- Their vision was to establish a unified data platform —an Enterprise Data Warehouse on Google Cloud —seamlessly integrating data from diverse sources such as Microsoft SQL Server, IBM DB2, EBCDIC files, DBASE files, and numerous .csv files.
- Their existing data infrastructure was fragmented and lacked scalability due to the involvement of multiple third-party vendors, network latency issues, and limitations in implementing the schema evolution processes.
Searce Solution
To address the scalability, security, and accessibility challenges faced by the financial services enterprise, our team of solvers set out on a comprehensive modernization journey, leveraging the power of Google Cloud. The solution encompassed:
Building a Unified Data Platform on Google Cloud:
- Batch and Real-time Streaming Data Pipelines: Searce employed Cloud Composer, Dataflow, Dataproc, and Pub/Sub ensuring seamless data integration from disparate sources into a centralized data warehouse on BigQuery.
- Optimized Data Transformation: Searce implemented transformation logic in line with the client’s business rules and best practices for query performance optimization, ensuring efficient data processing and cost-effectiveness.
Data Security and Governance:
- Data Masking and Access Control: To safeguard sensitive information, Searce implemented industry-leading data security measures, including masking personally identifiable information (PII) and enforcing row and column-level access control.
Future-Proofing and Automation:
- Enterprise Data Warehouse: Searce built a data warehouse on Google Cloud to address scalability, security, and accessibility of data and insights for financial services enterprise.
- Change Data Capture and Schema Drift Handling: In anticipation of future data changes, Searce incorporated change data capture and schema drift handling mechanisms, ensuring the data warehouse remains adaptable to evolving business needs.
- Cloud Composer-Powered Data Pipeline Automation: Leveraging Cloud Composer (Apache Airflow), Searce automated the entire data pipeline, streamlining data management and reducing operational overhead.
Business Outcome
- Optimized dashboard refresh time from 20+ mins to less than 2 mins
- Addressed 75+ use cases from 11 Business Units across, infrastructure, security, networking, data, analytics and AI/ML solutions
- Demonstrated 75+ use cases over 6 workshops, 4 demo sessions to over 50+ client stakeholders
Searce’s Google Cloud-powered modernization transformed the century-old bank’s data infrastructure, improving access, scalability, and security. This modernized data platform empowers the bank with deeper insights for future growth.
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