Logic pursuits
Logic pursuits
Managed Data Services
Building the platform is the beginning. We keep it performing to create long-term value.
Your data platform should scale outcomes, not maintenance effort.
Organizations often invest heavily in modern data platforms, only to find that sustaining performance becomes increasingly difficult once implementation is complete. Pipelines require ongoing attention, cloud costs rise, technical debt accumulates, and lean internal teams spend more time resolving issues than delivering new capabilities.
We solve this by providing managed data services through our flexible COE POD model. Combining data engineering, analytics, platform, and governance expertise in a scalable operating structure, we help you create a reliable, continuously optimized data ecosystem that controls costs, adapts to changing business needs, and allows your team to focus on innovation rather than maintenance.
How we
make it possible
How we make it possible
We organize managed service delivery through a COE POD model, with dedicated, self-sufficient teams built around your specific data domains and business needs. Each POD is anchored by a US-based lead who manages client relationships and quality, supported by nearshore and offshore practitioners with deep platform specialization.
- Data Solution Architect (US-based)
- Senior Data Engineers
- Data Engineers
- QA Engineers
- ETL Developers
- Cloud Engineers
- Data Science Lead / SME (US-based)
- Data Scientists
- Data Analysts
- Machine Learning Engineers
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- One rate across all POD resources
- No per-role negotiation
- No billing complexity
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- PODs and roles added based on evolving needs
- No fixed CAPEX commitments
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- Centralized program management
- Consistent quality, testing, and delivery governance across every engagement
Multiplying outcomes for your business
Managed Data Engineering
Ensure continuous improvement through ongoing data pipeline development, maintenance, and optimization, anchored in SLA-based delivery with proactive monitoring and incident management.
BI and Analytics as Managed Services
Keep your analytics environment up-to-date through ongoing BI estate management, including report maintenance, performance tuning, platform upgrades, user support, and usage analytics.
Cloud Platform Operations and Optimization
Monitor platform health, manage cloud costs, right-size compute, and implement FinOps controls across Snowflake and Databricks. Keep infrastructure costs predictable and performance consistent.
DataOps and Automation
Implement CI/CD pipelines, automated data quality checks, observability frameworks, and DataOps workflows. Reduce manual intervention, improve release reliability, and accelerate delivery cycles.
Analytics COE and Team Enablement
Set up and operationalize an internal Analytics Centre of Excellence with governance models, tool standards, data product ownership, and analyst upskilling programs. Build the capability to reduce future dependency on external support.
Helping your leaders accelerate decisions
Once the platform is live, maintaining specialized expertise across modern data technologies can become costly and difficult to scale. Our COE POD model provides flexible access to certified Snowflake, Databricks, and dbt expertise without increasing permanent headcount.
Engineering teams can end up spending too much time managing incidents and maintaining platforms instead of building new capabilities. We provide embedded support that preserves institutional knowledge and keeps innovation moving forward.
Cloud and platform costs often grow without clear visibility or accountability. We apply FinOps-informed platform management with cost visibility dashboards, right-sizing recommendations, and active resource governance to improve transparency and keep spending predictable.
As analytics environments grow, report maintenance, performance issues, and support requests can overwhelm internal teams. We keep BI platforms optimized, current, and reliable without adding staffing overhead.
Many data programs lose momentum after implementation as ownership shifts and operational support falls short. We provide a structured transition to steady-state operations that sustains performance and long-term value.
Impact tailored for your industry
Provide managed platform operations and compliance monitoring support across risk, reporting, and finance data environments. Maintain audit readiness and SLA adherence on an ongoing basis.
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Provide ongoing data engineering, reporting, and analytics support across investment management operations. Scale up during peak reporting periods without permanent headcount commitments.
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Sustain complex, multi-system data platforms across reservations, guest, marketing, and operational domains. Maintain SLA performance across high-volume transactional environments.
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Maintain and evolve financial data warehouse and content analytics platforms post-implementation. Manage platform health, data quality, and reporting cadences across close cycles.
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Manage procurement, supply chain, and operational analytics platforms by ensuring pipeline reliability and reporting accuracy as source systems and business requirements evolve.
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Sustain finance, clinical, and regulatory reporting platforms with ongoing data engineering and quality monitoring. Support periodic regulatory submissions and audit cycles.
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Results you can count on
Client retention rate
Projects delivered
Data professionals
Delivery regions (US, India, and Latin America)
