Logic pursuits
Logic pursuits
Analytics Centre
of Excellence (CoE)
Build the analytics capability your organization needs to sustain growth.
A data platform without internal ownership is infrastructure without a team to run it.
Modern data platforms, governed analytics, and automated pipelines create value only when the organization has the capability to own, manage, and continuously improve them. Yet many businesses remain dependent on implementation partners or a handful of individuals, with inconsistent standards, unclear ownership, and limited governance slowing decisions and making it difficult to scale. The technology may be in place, but the operating model needed to sustain it is often missing.
At Logic Pursuits, we help you close that gap by building an Analytics Center of Excellence designed around your business, teams, and technology landscape. Rather than applying a generic framework, we create an operating model that establishes clear ownership, consistent standards, and internal capability. The result is an organization that makes better decisions, adapts more quickly to change, and has the foundation to scale analytics, AI, and future innovation with confidence.
How we
make it possible
We design each Analytics COE around your organization’s functional priorities, including the platforms, teams, and the domains that matter most to the business. Drawing on expertise across cloud data platforms, BI and reporting, data governance, and data engineering, we build an operating model and capability framework that is practical from day one.
- Define the COE structure around your organization’s size, priorities, and analytics maturity
- Establish data product ownership, tool governance standards, and operating procedures
- Align the operating model with your existing platforms, teams, and business priorities
- Develop internal capability through structured learning embedded within live delivery
- Strengthen your team with pair programming, hands-on collaboration, and practical coaching
- Embed knowledge transfer throughout the engagement instead of at project completion
- Transition ownership of the COE operating model and governance framework to your internal leadership team
- Enable your teams to independently govern and evolve the analytics function
- Access ongoing advisory support for governance reviews, expansion planning, and capability development
Multiplying outcomes for your business
Analytics Operating Model Design
Design an Analytics COE operating model aligned with your organization’s size, structure, and functional priorities. Define clear roles, responsibilities, and governance instead of relying on a generic framework.
Data Product Ownership and Governance
Define what a data product means for your organization and establish clear ownership across its lifecycle. Govern how data products are built, maintained, accessed, and measured for quality.
Analytics Team Capability Development
Develop the skills your analytics team needs to operate independently through structured capability assessments, development pathways, and embedded learning on live projects.
Platform and Tool Governance Standards
Establish consistent tool governance through agreed technology standards, naming conventions, coding practices, and data quality frameworks. Maintain consistency as your analytics team grows and new use cases emerge.
COE Advisory and Ongoing Support
Access ongoing advisory support to help your Analytics COE evolve with confidence. Conduct quarterly governance reviews, refine standards, strengthen internal capability, and leverage a structured retainer model for continued LP involvement.
Helping your leaders accelerate decisions
Impact tailored for your industry
Establish a COE that governs operational analytics, revenue reporting, guest data, and commercial insights across hospitality functions. Build it around the platforms and reporting cadence your business already operates on.
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Strengthen analytics governance with a COE designed for banking, insurance, and lending organizations. Establish clear data product ownership, consistent metric definitions, and audit-ready governance that meets both regulatory and operational requirements.
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Create an analytics operating model that governs content performance, rights, royalty, and subscriber analytics across finance and operations teams. Enable consistent standards as your analytics function grows.
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Standardize investment analytics, fund reporting, and operations data through a COE designed for complex multi-entity organizations. Establish consistent standards and clear data product ownership across geographies and business lines.
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Implement a COE for clinical, regulatory, and financial analytics with the access controls, audit traceability, and governance standards pharmaceutical environments require.
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Coordinate supply chain, procurement, production, and commercial analytics through a COE designed for complex multi-site manufacturing operations. Establish consistent governance as your analytics landscape continues to expand.
Results you can count on
Data and analytics engagements delivered
Certified data practitioners across US, India, and Latin America
Years of co-build delivery experience
Consulting heritage across the founding and leadership teams
Purpose-built for mid-market organizations
