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Tekla: Scales with Pyne as Data Team as a Service

Tekla: Scales with Pyne as Data Team as a Service
Built a strong data foundation, sparking a company-wide shift to data-driven decisions.
Kristoffer Windall Juhl

Kristoffer Windall Juhl

CEO, Tekla

Client Background

Tekla is a fast-growing luxury bedding and sleepwear brand operating across e-commerce, retail, and B2B. With expanding data needs across teams, they wanted an embedded partner to continually evolve their data stack, analytics, and automations.

Aspiration

Continuously improve and extend the data setup with new impulses, deep analysis, and automation - so leadership can steer the business with confidence while staying lean.

How We Did It

  • Platform evolution and migration - Led migration from SQL into dbt, refactoring models, tests, and CI/CD to reduce complexity and improve reliability.
  • Deep marketing analytics - Built channel and cohort views, creative and campaign performance tracking, and funnel diagnostics to guide budget and growth bets.
  • Finance analytics for the CFO - Standardized revenue and margin models, AR/AP, Balance, PnL, and aligned weekly executive reporting.
  • Automation and AI - Replaced manual processes with event-driven jobs, proactive alerts, and lightweight AI-assisted workflows to speed up decisions and reduce repetitive work.
  • Ongoing roadmap - Operated as Tekla’s data team, prioritizing quick wins and foundational upgrades in monthly sprints with clear SLAs.

Key Outcomes

  • Less manual work - Repetitive reporting and reconciliations are automated across teams.
  • Data-driven decision making - Leadership relies on consistent, timely views for marketing, sales, and finance.
  • Lean growth - A scalable analytics and automation backbone that supports expansion without adding overhead.
  • Clear performance visibility - Cohorts, campaign ROI, and inventory insights highlight what is working and what is not, promoting a more data-driven culture across the company.
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