Logic pursuits
Logic pursuits
Data Strategy
& Architecture
Most data problems are architecture problems. We fix the foundation first.
Getting your data strategy right changes everything that comes after.
For most organizations, disconnected systems, fragmented architectures, and inconsistent governance make it difficult to turn data into trusted decisions. That’s why we always begin with a structured assessment of your data landscape, before tapping into our expertise across Snowflake, Databricks, dbt, Matillion, and hyper scale platforms like AWS, Azure, and GCP, to co-design a future-state architecture aligned to your business priorities.
The result is a robust, analytics-ready foundation that reduces technical debt, accelerates execution, and gives your teams the confidence to support and scale AI and digital initiatives.
How we
make it possible
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.
- 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
- SQL analyst to analytics engineer training
- Governance standards and style guides
- Internal COE setup and operating model
- Ongoing retainer support
- SQL analyst to analytics engineer training
- Governance standards and style guides
- Internal COE setup and operating model
- Ongoing retainer support
- SQL analyst to analytics engineer training
- Governance standards and style guides
- Internal COE setup and operating model
- Ongoing retainer support
Multiplying outcomes for your business
Enterprise Data
Strategy
Define a transformation roadmap aligned to business goals, covering cloud platform selection, governance models, and a phased plan your leadership can commit to.
Data Platform
Architecture
Design cloud-native architectures on Snowflake, Databricks, AWS, Azure or GCP. Create a scalable and secure foundation built for analytics and AI workloads from day one.
Pipeline Modernization & Integration
Modernize legacy ETL pipelines and integrate siloed systems. Lower operational costs, improve processing speed, and eliminate fragile manual workflows.
Data Governance
& Compliance
Establish lineage, audit controls, metadata management, and governance frameworks that improve compliance readiness and build trust in enterprise data.
Analytics-Ready Data Foundations
Ensure faster insights and better accuracy. Transform fragmented datasets into structured, business-ready data products for reporting, AI, and advanced analytics.
Helping your leaders accelerate decisions
Legacy, siloed systems block every new initiative and accumulate technical debt faster than it can be managed. We modernize your data architecture into a scalable, cloud-native foundation so every downstream analytics and AI initiative starts on solid ground.
Manual reconciliation and inconsistent financial reporting consume close-cycle capacity and create compliance risk. We centralize and automate financial data workflows to deliver accurate, audit-ready insights, without the spreadsheet overhead.
Without unified, real-time customer data across channels, personalization at scale is impossible. We build the data foundation that gives marketing a single view of the customer and measurable ROI across every campaign.
Fragile legacy ETL pipelines block adoption of modern tooling and are increasingly difficult to hire for. We execute cloud-native migrations using proven playbooks and leave reusable frameworks behind.
Manual workflows and disconnected systems reduce agility and slow operational decisions. We automate data pipelines and build scalable architectures that improve speed, reliability, and visibility across the enterprise.
Impact tailored for your industry
Build audit-ready data foundations supporting credit risk, regulatory compliance, and real-time reporting, reducing manual reconciliation and improving data trust at scale.
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Use centralized, audit-ready governance and reporting frameworks to reduce reconciliation effort and improve compliance across investment management operations.
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Leverage unified operational and customer data platforms that enable dynamic pricing, personalized experiences, and real-time decisions across fleets, properties, or cruise lines.
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Shift to modern architectures that streamline rights, royalty, and revenue reporting across fragmented content systems with SOX compliance and faster financial close cycles.
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Unify supply chain and operational data platforms, improving production visibility, demand forecasting, and cross-functional reporting accuracy.
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Establish governed, scalable data foundations supporting clinical cost tracking, regulatory reporting, and operational visibility with a clear path toward AI-driven analytics.
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Results you can count on
Faster query performance
Reduction in manual reporting effort
Annual cost eliminated
