Data case studies
Data case studies: database migration and data protection
Data case studies HabileLabs has published, grouped by what the data work did: migrating and consolidating databases, masking personal data for banks and lenders, running databases and analytics, and preparing data for AI. Helvetia is a data project from end to end. In the others, data was one part of a cloud, Salesforce or AI project, and each card says which.
- Helvetia: 52 Access databases consolidated into one SQL Server database
- Utkarsh Small Finance Bank: 2.8 lakh Aadhaar documents masked in one week
- Aavas Financiers: 35+ TB of legacy document data moved to AWS
Helvetia: 52 Access databases into one SQL Server database
Helvetia is a Swiss insurance group with a strong presence across Europe. Its sales and claims data sat in 52 separate Microsoft Access databases, holding around 30 million records between them, which made it hard to analyze data and produce timely reports.
HabileLabs migrated all data from the 52 AccessDB files into a single SQL Server database, then optimized data structures and query processes. Schemas can now be modified easily, and complex business rules and data transformations can be added as needed.
- 52 → 1 Access databases consolidated into a single SQL Server database
- ~30M records migrated onto one platform
- <10 s query times, down from several minutes
- 25–30 h estimated time saved per month
Migration & modernization
Data moved or brought together as one part of a larger project
Cloud migration · AWS35+ TBof legacy document data moved to AWS in a phased lift-and-shift migrationAavas Financiers →
Platform build · MongoDB2,000/secupdate requests after launch, up from about 5; the platform moved to MongoDB to keep upConsent management platform →
CRM data migration · SalesforceOrgs → 1Six orgs' worth of technical debt resolved, with every object, relationship and field mapped before a record movedUnaric →
Hospital migration · AWSAWS DMSAWS Database Migration Service moved the databases, with rollback paths, onto managed Multi-AZ databasesEHCC →
CRM integration · Salesforce1 viewof every client across sales, support and project delivery, from data that sat in unconnected systemsGreenfinch Global Consulting →
Data partner credentials
Microsoft, AWS and Databricks credentials behind our data work.
- 200+clients in 15+ countries
- 100+engineers
- 38+Azure specialists
Data protection in BFSI
Aadhaar data masked for banks and lenders
Aadhaar masking · Fully offline2.8 lakhAadhaar documents masked in one week at 99% accuracy; no data left the bankUtkarsh Small Finance Bank →Aadhaar masking · Amazon S31.5 milliondocuments on Amazon S3 masked at 95% accuracy, with no manual reviewChoice Finserv →
Aadhaar masking · Offline0.3 secprocessing time per file at 99% accuracy, live within one month, connected to the existing document management systemArt Housing Finance →
Aadhaar masking · Air-gapped2 TBof loan applications, CIBIL reports and bank statements masked, in under 300 ms per fileWonder Home Finance →
Aadhaar masking · DocuSwift25 TB+of financial data secured in one repository, with Aadhaar masking at 95% accuracyAavas Financiers →
Free assessment for BFSI
Check your document governance before 13 May 2027
That is when DPDP Rule 6 safeguards come into force. BFSI teams can start with a free document governance assessment.
A 30–45 min working session
A written gap list
No cost and no commitment attached to the session itself
The assessment is not a compliance certification, legal advice, or a guarantee of DPDP or RBI compliance.
Data platforms & analytics
Databases, pipelines, backups and reporting
Database · Amazon RDS for PostgreSQL15 minrecovery time objective, with a 30-minute recovery point and 7-day backup retentioniSEEit →
Healthcare platform · AWSAmazon RDSfor PostgreSQL stores patient data securely, supporting high transaction volumes at peak usageDr. B. Lal Clinical Laboratory →
Retail migration · Reporting and BIClickHouseon Amazon EC2 for fast, scalable reporting and business intelligence, after a move from on-premises data centers to AWSRCM World →
Backup · Azure Blob Storage50%lower cold storage backup costs than physical disks, with 90% less manual effort in backup managementMarsons Energy →
Managed services · AWS GlueAWS Gluedata pipelines and ETL workflows, with application data and analytics datasets stored on Amazon S3Elixir InfoTech →
Data quality · SalesforceSecondsto capture candidate data, not minutes, with duplicate management and data enrichment workflowsRecruiterBolt, for a recruitment agency →
Data behind AI
The data layer under iSEEit's agentic AI
In iSEEit's agentic AI build on Amazon Bedrock, the data layer was part of the design, and two of the published results are data results.
42% → 85% complete MEDDPICC data
Opportunities with complete MEDDPICC data increased from 42% to 85% within 6 months.
About 3 hours a week back for each seller
Automated signal extraction and CRM updates removed approximately 3 hours per seller per week of manual data entry.
Retrieval over each tenant's own data
Amazon Bedrock Knowledge Bases provide retrieval-augmented generation over each tenant's deal history and playbooks, with Amazon OpenSearch Serverless as the vector store.
Tenant-scoped, encrypted storage
Amazon S3 stores transcripts, documents and notes under tenant-scoped prefixes with server-side encryption, and Amazon Bedrock Guardrails handle PII detection and redaction.
Services
The data services behind these results
Each service has its own page, with the process and tools behind it.
Data engineering
Data architecture, integration and ETL pipelines, big data processing and real-time streaming on AWS, Azure and Google Cloud.
Data engineeringDatabase migration and modernization
Data moved to Azure or AWS with its integrity intact, on infrastructure modernized for scale.
Database migrationData protection and governance
Data operations and governance practices that keep data reliable, secure and accessible across its lifecycle, with Aadhaar masking for banks and lenders.
Data protectionData analytics and BI
Dashboards and analytics that make scattered data readable and forecast what comes next.
Analytics and BIAmazon RDS
Managed relational databases with automated maintenance, encryption and failover, architected for SaaS and healthcare loads.
Amazon RDSPower BI and Microsoft Fabric
Data brought into one place on Microsoft Fabric, modeled once, and published as dashboards that refresh on their own.
Power BI and Fabric
Talk to us about your data
Tell us where your data sits today and what you need from it. We start with workshops on your business goals and your data, then tailor the approach to your needs instead of applying a template.
- Microsoft Solutions Partner, Data & AI (Azure)
- Amazon RDS Service Delivery validation
- Databricks partner
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