AbCellera

AbCellera is a leading international biotechnology firm with over $375MM in annual revenue and partnerships including Pfizer, Merck, Novartis and GlaxoSmithKline.

Business Challenges

  • Disconnected Planning Environment: Legacy forecasting processes for P&L, Balance Sheet, and Cash Flow were highly manual and timeconsuming, increasing risk and reducing agility.
  • Separated Data: Financial and operational data resided across multiple platforms and offline sources, making it difficult to automate and
    scale business processes.
  • Clinical Trial Planning and Patient Forecasting: Existing tools lacked the capability to cross-reference financials with clinical planning,
    limiting visibility across functions and impacting strategic planning.

Solution

  • Integrated Data Hub Modeling: Built a centralized Data Hub in Anaplan to consolidate data from Sage Intacct, ADP Workforce Now, and
    offline sources, providing a unified foundation for planning.
  • Holistic Forecasting Models: Implemented Anaplan models for P&L, Balance Sheet, and Cash Flow forecasting, supporting both operational
    planning and financial alignment.
  • Clinical and Patient Planning Enablement: Enabled patient forecasting and clinical trial planning to be modeled alongside financial data for
    end-to-end planning visibility.
  • Platform Scalability: Established a flexible architecture designed to grow with AbCelleraโ€™s evolving needs, from clinical operations to
    corporate finance.

Impact

  • Streamlined Forecasting Process: Reduced manual data handling and improved forecast accuracy through integrated data flows and
    automated model logic.
  • Cross-Functional Visibility: Enabled finance and clinical operations to collaborate using a single planning environment, improving alignment
    and decision-making.
  • Improved Scalability & Readiness: Positioned AbCellera for future growth by implementing a scalable, automated platform that supports
    both current needs and long-term expansion.

Complimentary Discovery Briefing

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