REPORT

CDO's Guide:Measuring AI's Business Value

Learn best practices for proving the promise of AI’s ROI

Every aspect of a data strategy is about driving business success with any enterprise’s most powerful asset — its data. This report picks the brains of more than a dozen current chief data officers to find out:
  • How they are measuring the effectiveness of their AI strategies

  • How they communicate value to drive further investment

  • How metrics fit into each step of the adoption cycle

  • Why tech–business partnerships are more important than ever

HOW AI LEADERS BRINGEVERYONE TO THE TABLE

Today’s technical teams partner with, rather than serve, business organizations. That’s not new — but with AI, the stakes are higher, so we asked data executives how they uplevel their execution through cross-training and collaboration.

kaoutar sgihouer

“The business is not the ‘customer.’ Business and data or digital leaders are peers.”

Kaoutar Sghiouer
CDAIO, Sanofi

DRIVING BUSINESSFOR MEASURABLE ROI

Nothing drives technology adoption like need. Successful CDOs tell us they look for problems to solve, rather than simply roll out unsought AI initiatives.

herblon barbosa

“Find someone with their head burning. They will be your pilot project and your future evangelists.”

Heblon Barbosa
Head of Data and Growth, Petz

MEASURING THE FULL AI JOURNEY: KEY METRICS FOR EACH ADOPTION STAGE

Data executives detail the process of adopting new technologies like gen AI, and underscore the importance of measuring success across the four key stages: experimentation, operationalization, expansion and transformation.

mercedes pantoja

“The importance of value measurement increases across the phases of technology adoption.”

Mercedes Pantoja
Siemens Healthineers

WINNING CDOS KEEP THEIR EYESON THE ULTIMATE BUSINESS PRIZE

Business value is not derived from a single metric. CDOs describe how they combine measurements of cost and gain to create a holistic picture of AI’s bottom-line contribution.

anahita tafvizi

“The role of the CDO today is to build systems that consistently translate data into results and guide the organization in measuring, learning and adapting along the way.”

Anahita Tafvizi
Chief Data and Analytics Officer, Snowflake

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