Logic pursuits
Most organizations have more dashboards than they have answers. Over time, BI environments become crowded with redundant reports, inconsistent KPI definitions, and unclear ownership, making it harder to trust insights and act with confidence.
At Logic Pursuits, we approach analytics transformation as more than a platform migration. This means rationalizing existing portfolios, standardizing metrics, modernizing semantic layers, and establishing governance models that scale. The result is a streamlined analytics environment that reduces complexity, accelerates insight delivery, and gives your teams a consistent foundation for decision-making.
Most BI migrations fail not because of the technology but because they start without a clear picture of the estate. Our approach combines proprietary automation accelerators with the human decisions that only experienced analytics engineers can make.
Analyze usage, dependencies, and redundancies to eliminate dashboard sprawl before migration begins.
Create a complete inventory of reports, calculations, metadata, and dependencies across the analytics estate.
Assess complexity, classify risk, and build a phased migration roadmap with realistic timelines.
Standardize metric definitions, resolve inconsistencies, and establish governed KPIs across the organization.
Rebuild connections, translate SQL logic, and optimize data models for performance and maintainability.
Convert calculations, map business logic, and create reusable semantic assets for future scalability.
Rebuild reports and dashboards using standardized templates, consistent layouts, and improved user experiences.
Validate data, reconcile KPIs, and confirm analytical accuracy before go-live.
Establish governance controls, security policies, CI/CD workflows, and operating practices that keep the analytics environment scalable, sustainable, and free from dashboard sprawl.
Migrate Tableau, Business Objects, Qlik, or other legacy BI platforms to Power BI. Reduce scope, compress timelines, and deliver governed outcomes.
Establish a scalable Power BI foundation with governed workspaces, standardized KPIs, secure access controls, semantic models, and CI/CD deployment pipelines.
Design and build scalable semantic layers on Power BI, Snowflake, and dbt. Standardize business metrics across teams so every report references the same trusted definitions.
Enable business users to explore data independently through governed self-service frameworks, training programs, and role-based access. Reduce analyst dependency on engineering for routine requests.
Ensure sustained post-migration value with ongoing BI estate management, including report maintenance, performance tuning, platform upgrades, usage monitoring, and user support.
Modernize regulatory, risk, and financial reporting dashboards with consistent metric definitions, role-level security, and audit-ready documentation.
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Deliver investment, fund, and operational dashboards with standardized financial metrics, automated refresh, and role-based access across portfolio management and operations teams.
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Consolidate fragmented BI estates across operational, marketing, and finance functions into a unified Power BI platform with standardized KPIs and governed reporting.
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Replace legacy reporting tools with scalable BI platforms that support content, rights, and revenue analytics with real-time refresh and SOX-compliant access controls.
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Consolidate supply chain, procurement, and production reporting into a governed BI platform with self-service capability for operational and commercial teams.
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Build compliant, governed reporting environments for finance, clinical, and regulatory functions. Standardize KPI definitions and reduce manual report production effort.
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Reduction in migration scope
Migration timeline compression
Post-migration performance improvement
KPI parity at go-live