Training & Technology for Enterprise Consulting Teams

The Challenge You Face

Your offshore centres have good engineers. But data taxonomy work doesn't fit the offshore model. Here's why:

• There's no training for it. Universities teach data science and machine learning. Nobody teaches semantic mapping or taxonomy standardization.
• Manual work doesn't scale. Your teams spend 70-80% of project time doing repetitive classification by hand. There's limited learning or methodology transfer.
• Quality varies. Without proper tooling, outcomes depend on individual judgment rather than formal specifications.
• Only senior people can do it. Complex schema work needs your expensive consultants. Most of your offshore capacity isn't productive on these projects.
• Knowledge stays trapped. One person learns how to do something. They leave or rotate. Knowledge doesn't transfer effectively.

Our Partnership Model

We turn taxonomy work from specialist craft into repeatable process:

• Proper training programmes. We built the only structured curriculum for this work because nobody else was doing it. Not universities, not training providers.
• Tools that eliminate grunt work. Our platforms cut manual classification by 70-80%. Junior engineers become productive on work that used to need senior consultants.
• Quality you can depend on. Validation protocols mean consistent deliverables regardless of who's doing the work or when they joined.
• Use more of your capacity. Stop burning senior consultants on repetitive data work. Get your broader offshore teams actually productive on this.
• Knowledge that transfers. Formal specs and audit trails replace people carrying expertise in their heads. Team rotation stops being a disaster.

What Currently Exists

• AI and MLOps bootcamps with certifications
• University degrees in data science, computer science, engineering
• Cloud platform training from AWS, Azure, Google
• General data engineering courses on pipelines and ETL
• Business analysis and requirements gathering

None of this teaches semantic mapping, taxonomy design, or classification standardization.

What You Actually Need

• Formal semantic mapping techniques that work across systems
• Industry classification standards expertise
• Schema resolution for federated architectures
• Compliance taxonomy mapping for regulatory requirements
• URI governance and version control for taxonomies

This is what makes systems reliable.

For Your Firm

• Better offshore utilization. Junior and mid-level people handle work that currently needs senior consultants.
• Cut manual work by 70-80%. Proper tooling eliminates the repetitive classification that eats project time.
• Predictable quality. Formal specs and validation mean consistent results regardless of who's on the team or when they rotated in.
• Train people in 8 weeks. Structured programme rather than years of apprenticeship.
• Technology-enabled delivery. Move beyond pure labour arbitrage as your competitive model.

For Your Clients

• They get specialized capabilities through their existing relationship with you. No need to find and manage another vendor.
• Global delivery with proper quality assurance built in from the start.
• Faster delivery. 8-12 weeks versus the 6-12 months it typically takes when organizations try to do integration internally.
• Audit-ready documentation falls out of the process automatically.
• The same methodology works across their portfolio companies or business units.