Build a data foundation you can trust, before you build AI on it
AI and analytics are only as good as the data underneath them. SANMIT assesses the health of your data, designs pipelines and governance, and cleans master data, so every later initiative starts on solid ground.
What does SANMIT deliver in data engineering and governance?
Data health assessment
Profile your key data sources for completeness, accuracy and ownership, with a prioritised roadmap.
Pipelines & modern data platforms
Warehouse and lakehouse builds on Azure, AWS or GCP, using Databricks or Snowflake where they fit.
Master data management
Clean, de-duplicated customer, vendor, employee and product masters with clear stewardship.
Data migration
Extraction, cleansing, transformation and reconciliation for ERP and HR system changes.
Governance frameworks
Ownership models, data policies, quality rules and access controls that people actually follow.
Privacy & compliance readiness
Personal-data mapping and controls aligned with India's DPDP Act and client requirements.
How do we fix a data foundation without a multi-year programme?
Assess
Profile critical data and score its health.
Prioritise
Focus on data that feeds your priority reports and AI use cases.
Build
Pipelines, models and quality rules, in sprints.
Govern
Owners, policies and monitoring that keep data clean.
Frequently asked questions
Why do data migration projects fail?
Mostly because of poor source-data quality and unclear data ownership. Our approach profiles and cleanses data and agrees owners before migration begins.
Do we need data governance before starting AI?
You need enough of it: trusted, well-owned data for the specific use case. We scope governance to what your priority use cases need rather than launching a multi-year programme.
Which cloud platforms do you work with?
Microsoft Azure, AWS and Google Cloud, along with Databricks and Snowflake.
Can you help with data privacy compliance?
Yes. We help map personal data, define retention and access controls, and align data practices with India's Digital Personal Data Protection (DPDP) Act.
Is your data ready for AI?
Start with a data health check on the sources that matter most.