A high-tech American multinational technology company with an annual revenue of $ 200 Billion and having a humongous employee size of more than 1.5 lakh employees with 8.5 Billion searches per day has its presence in 50 countries focusing on online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence and consumer electronics. With its headquarters located in Silicon Valley, this influential company continues to shape the digital landscape and impact various industries worldwide

  • ~$200B Revenues
  • ~1.5 lakhs+ Employees
  • ~8.5B Searches/Day
  • 50 Countries
  • Payroll OPEX and Headcount planning with multiple spreadsheets
  • Multiple manual steps for planning
  • Historical & planning data access was cumbersome with limited access to centrally stored data
  • Granularity mismatch between unit data & financial data in existing system reduced planning accuracy
  • Talent Strategy

    Forecasting to predict future trends and changes in KPIs, and budgeting to get a roadmap for allocating resources to achieve financial goals.

  • Workforce Planning

    Internal reports used to run the organization, make business decisions, and monitor progress to make more accurate, data-driven decisions.

  • Compensation Modelling

    Proactive planning for uncertainties, enhance resilience, and adapt swiftly to changing circumstances.

  • Reporting

    Internal reports used to run the organization, make business decisions, and monitor progress to make more accurate, data-driven decisions.

  • Unified Finance forecast that includes Payroll OPEX, and headcount forecast for different google product areas (e.g., YouTube, Google cloud, platform & ecosystem, etc.) to forecast cost at a detailed granularity of Location, Job roles, Job Level, Company, Channel, cost center, profit center
  • Enable product area’s specific granularity and dimensionality.
  • Headcount submission and approval process and calculate payroll OPEX on review and headcount rollups by different attributes reporting.
  • In-built scenario modeling.
  • Streamlined data integration & mapping to match detailed hierarchies to ensure accurate forecasting at detailed levels
  • Connected data and systems to reduce manual and repetitive work and misalignment of data
  • Collaborate to gather inputs from different product areas, validate and consolidate data
  • Simple and rapid scenario modeling for evaluation and various What-ifs
  • Visibility between product areas and Corp FP&A to improve accuracy and accountability.
  • Increased Headcount plan accuracy with detailed hierarchy levels

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