Lean IT’s Data Archival Pro offers scalable, compliant storage with discovery, purging, archival, and fast retrieval for efficient, cost-effective data management.
Cloud Computing
The Salesforce-Databricks Adapter enables seamless integration between Salesforce and Databricks, empowering businesses with real-time analytics. This solution transforms Salesforce data into actionable insights quickly, improving decision-making and ensuring organizations can act on customer data instantly.
The Gen AI Use Case helps businesses automate content, improve decisions, and enhance predictions, driving efficiency and innovation.
In addition to products, Lean IT’s service offerings cover data archival, digital transformation, and enterprise data lakes. From modernizing legacy systems to managing smooth cloud migrations, these services help enterprises achieve scalability, agility, and long-term compliance with data regulations.
Our Solution Offerings
Data Archival Pro Solution
Fraud Detection Framework
Gen AI Use Case
SF Databricks Adapter
Advanced Analytics and Insights
Driving Innovation Across Industries
Case Study
Data Archival Implementation for Large Financial Institution
Data Archival Solution for a Large Financial Institution
Client: Confidential BFSI
Challenge: Rising storage costs, slow archival access
Solution: Deployed Data Archival Pro with compliance-focused framework
Results: 40% lower storage costs, 30% faster data access
Digital Transformation for Global Manufacturing Company
Digital Transformation and Modernization Solution for a global Manufacturing Company
Digital Transformation and Modernization Solution for a global Manufacturing Company
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Client: Global manufacturing company
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Problem: Legacy systems hindered scalability, integration, and efficiency
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Solution: Migrated to AWS & Azure cloud-based agile solutions
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Outcome: 70% higher efficiency, 50% less downtime, improved scalability
Enterprise Data Lake for Global Retail Chain
Enterprise Data Lake on AWS for a global Retail Chain
Client: Global retail chain
Problem: Struggled with managing multi-source structured & unstructured data
Solution: Built Enterprise Data Lake on AWS for centralized, real-time analytics
Outcome: 50% faster data retrieval, 35% better decision-making, improved operations & targeting
Data Migration for Leading Insurance Provider
Data Migration for a leading Insurance Provider
Client: Leading insurance provider
Problem: Legacy on-prem systems caused high costs, slow processing, limited scalability
Solution: Migrated to Azure cloud for scalable, secure, high-performance infrastructure
Outcome: 40% cost reduction, 60% faster processing, improved security compliance
