Logic pursuits
Logic pursuits
Data Team
Enablement
A data platform is only the beginning. We ensure your team can own it.
Transformation should increase capability,
not dependency.
Many data transformation initiatives deliver modern platforms but leave organizations dependent on external expertise to maintain, extend, and evolve them. Knowledge remains concentrated with the people who built the solution, documentation is incomplete, and internal capability struggles to keep pace with growing platform complexity.
At Logic Pursuits, we take a different approach through a co-build delivery model that embeds knowledge transfer into every stage of execution. By working alongside your engineers and analysts, establishing governance standards, and creating reusable documentation and operating frameworks, we help your team develop the skills and confidence to own what has been built. The result is a more capable, self-sufficient organization that can continue innovating long after the implementation is complete.
How we
make it possible
We structure data team enablement around two complementary models sharing the same principle: your teams should have greater capability at the end of every sprint than they did at the beginning. The goal is to embed knowledge transfer into the delivery process and help you advance to operational independence.
dbt enablement
- Current stack and pipeline inventory
- dbt maturity scorecard
- Prioritized modernization roadmap
- Architecture blueprint and POC scoping
- SAP DS, SSIS, and Informatica inventory
- Dependency mapping and migration grouping
- Parallel-run validation and cutover
- Proven playbook: 400+ jobs migrated
- dbt Cloud environment setup
- Governance framework and data standards
- Testing framework and CI/CD design
- Staging to mart modelling and build
- Query profiling and bottleneck audit
- FinOps dashboards and cost monitors
- Semantic layer and MetricFlow design
- Data contracts and observability hardening
- SQL analyst to analytics engineer training
- Governance standards and style guides
- Internal COE setup and operating model
- Ongoing retainer support
The co-build model for broader delivery engagements
- LP engineers work directly alongside your team, not in parallel to them
- Every sprint produces code your engineers understand, can explain, and can modify
- Client team members shadow LP engineers on early sprints, then lead with LP support in later sprints
- By go-live, ownership has already transferred in practice
- Every engagement produces living documentation
- Deliverables include data dictionaries, transformation runbooks, governance style guides, and COE operating procedures
Multiplying outcomes for your business
Co-Build Delivery Model
Embed our practitioners alongside your engineers and analysts during delivery. Combine pair programming, code reviews, and shadow-to-lead transitions to ensure your team builds real capability through the engagement.
Analytics Engineering Enablement
Train SQL analysts to become analytics engineers through hands-on dbt workflows, data modeling, testing practices, and semantic layer design. Build internal dbt and analytics engineering competence from the ground up.
Knowledge Transfer
and Documentation
Leverage materials your team can use independently, including comprehensive documentation, runbooks, style guides, and governance playbooks that are produced as standard delivery outputs.
Internal Analytics
COE Setup
Design and operationalize an internal Analytics Centre of Excellence, encompassing the governance model, tool standards, data product ownership, operating procedures, and analyst upskilling. Build the internal capability that sustains your data platform long-term.
Platform Training
and Upskilling
Deliver structured training programs for Snowflake, Databricks, dbt, Matillion, and Power BI tailored to your team’s current skill level and your platform configuration. Build capability through practical, applied training rather than generic vendor certification content.
Helping your leaders accelerate decisions
Impact tailored for your industry
Upskill finance and data teams on SAP, Power BI, and audit analytics tooling. Build internal capability for GL analytics, T&E monitoring, and compliance reporting without ongoing
vendor dependency.
Enable investment management and reporting teams to own and extend analytics platforms. Transfer knowledge on dbt, Power BI, and Azure Databricks through structured co-build delivery and training programs.
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Embed analytics engineering practices into internal teams managing reservation, marketing, and operational data. Transfer platform knowledge to keep large, complex data estates
self-sufficient.
Upskill finance, accounting, and content teams on financial data warehouse tooling and Databricks-based analytics. Build the internal knowledge base to extend and maintain SOX-compliant reporting architectures.
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Train procurement, supply chain, and finance analytics teams on modern data platforms. Build internal capability for P2P analytics, demand forecasting, and operational reporting without ongoing external support.
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Train finance and analytics teams on data modeling, reporting tools, and audit analytics frameworks. Build internal COE capability that supports ongoing compliance and
regulatory reporting.
Results you can count on
Client retention rate
Delivery regions (US, India, and Latin America)
Projects delivered
ETL jobs migrated with co-build
Reduction in close cycle time
