Data Finops

Impact Generated: #DataFinOps #CostTransparency #ResourceOptimization #BigDataBudgeting #ROIculture #KPIalignment #FinancialGovernance #ValueOfData

This project was developed in collaboration between my team, Microsoft, and Databricks to accurately allocate data consumption and processing costs to internal business areas requesting analytical services. I established the project's strategic direction, defined the objectives, and oversaw implementation through agile management practices. I also engaged closely with the CFO, CTO and CCO to  ensure alignment on cost control objectives and establishing a sustainable culture of financial accountability.

The project introduced cost-allocation processes that linked cloud data processing expenditures to specific internal teams, including AI initiatives. This transparency enabled department heads to gain clear visibility into their resource consumption and associated costs, encouraging more deliberate prioritization of analytical requests and fostering accountability for return on investment.

This initiative required extensive coordination with key business departments, including Commercial and Customer Experience teams, to assess and prioritize KPIs, reports, and dashboards based on strategic value and impact to become more deliberate in prioritizing their analytical requirements, fostering a culture of accountability and cost-awareness.

Ultimately, the FinOps effort elevated company-wide understanding of data as an asset, emphasizing both the cost of information and the strategic value derived from data-driven decisions. This approach strengthened resource allocation and significantly improved financial efficiency within the company.