From legacy BI logic to AI-ready data products
Many companies have years of business-critical logic embedded in BI tools, spreadsheets and reporting layers. We help extract, structure and modernize that logic into governed data products — across platforms such as Snowflake, Microsoft Fabric, Databricks and modern cloud data stacks.
BI-to-Data Product Modernization
We help enterprise teams audit existing BI logic, identify reusable data models and rebuild critical analytical layers into governed, scalable data products across platforms such as Snowflake, Microsoft Fabric, Databricks and modern cloud data stacks. Built on Intelactsoft's long-standing experience with complex enterprise BI and analytics modernization programs, including Qlik and Snowflake.
- BI logic extraction
- Reusable data model identification
- Data product engineering
- Snowflake / Fabric / Databricks enablement
- AI-ready semantic layer
Where we help
Qlik modernization
Refactor and extend Qlik Sense estates, improve performance, reduce operational risk.
Qlik → Snowflake
Move transformation logic from Qlik into Snowflake to create governed, reusable data products.
Tool integration
Power BI, Qlik and Snowflake aligned around a single semantic layer and shared definitions.
Dashboard rationalization
Reduce dashboard sprawl by consolidating around the reports that actually drive decisions.
Data governance
Ownership, lineage, quality and access controls across the analytics estate.
Adoption
Improve trust, training and self-service so analytics is genuinely used by the business.
Platforms and integration stack
Selected analytics work
Real-time analytics across Supply Chain, Manufacturing, Critical Care and Clinical Studies.
Real-time fleet analytics managing 300,000+ vehicles. 25 dashboards, 100+ KPIs.
Integrated dashboards covering production efficiency, supply chain and global reporting.