The data-driven era has ushered in extraordinary opportunity—and extraordinary complexity. As organizations invest heavily in AI and analytics, many face a paradox: while AI promises innovation, the very elasticity of cloud infrastructure often leads to runaway costs and uncertain ROI.

In Chaos to Clarity: The FinOps Imperative for Data, Analytics, and AI, Futurum Research, in partnership with Databricks, explores how enterprises can navigate this financial and operational turbulence to achieve sustained value creation.

The market brief reveals that while 75% of data professionals express confidence in delivering high-quality AI outcomes, more than half (52%) fail to measure ROI rigorously—creating an iceberg of hidden costs beneath the surface. With data intelligence platforms projected to exceed $222 billion by 2029, the ability to control costs through FinOps is emerging as a critical success factor.

FinOps brings together finance, engineering, and operations to establish visibility, optimization, and automation across data estates. Through real-time cost attribution, automated governance, and proactive optimization, organizations can transform data management from a reactive process into a disciplined, value-oriented strategy.

In this market brief, you will learn:

• Why uncontrolled data and AI costs represent the hidden “ROI gap” undermining innovation
• How FinOps disciplines help teams track, govern, and optimize data workloads across cloud environments
• The three pillars of FinOps—visibility, optimization, and automation—and how to operationalize them using Databricks’ unified data and AI platform
• How 73% of data professionals are shifting toward strategic, business-facing roles, redefining the data function as a value portfolio
• Why FinOps is becoming a leadership imperative for aligning financial discipline with data-driven innovation

Download your copy of Chaos to Clarity: The FinOps Imperative for Data, Analytics, and AI to discover how a FinOps-driven approach empowers enterprises to balance innovation with financial accountability—turning the promise of AI into measurable business value.

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