MDCO core principles emphasize targets as essential.

MDCO core principles emphasize targets as essential.

• A. Automated measurement is optional.
• B. Achievable goals require no data understanding.
• C. Targets: metrics without targets are just pretty graphs.
• D. Data-driven: actions drive the data.

Answer: (C)

Targets turn measurements into action. When you have a target, you’re not just collecting numbers—you’re setting a clear goal and a benchmark to aim for. That context lets you assess whether performance is on track, identify gaps, and trigger decisions or adjustments. Without targets, metrics are just numbers or visuals with no direction, so they don’t drive accountability or optimization. The statement about targets grouping with metrics highlights this: metrics without targets are just pretty graphs because the value of data comes from comparing it to a goal. Set targets, and you can measure variance, prioritize work, and close the loop from data to action. Other options imply that measurement can be optional, or that targets aren’t needed for realism or understanding, or that actions create data in a way that sidesteps the need for targets. Those ideas miss the essential role of targets in giving data a purpose and guiding what you do next.

Targets turn measurements into action. When you have a target, you’re not just collecting numbers—you’re setting a clear goal and a benchmark to aim for. That context lets you assess whether performance is on track, identify gaps, and trigger decisions or adjustments. Without targets, metrics are just numbers or visuals with no direction, so they don’t drive accountability or optimization.

The statement about targets grouping with metrics highlights this: metrics without targets are just pretty graphs because the value of data comes from comparing it to a goal. Set targets, and you can measure variance, prioritize work, and close the loop from data to action.

Other options imply that measurement can be optional, or that targets aren’t needed for realism or understanding, or that actions create data in a way that sidesteps the need for targets. Those ideas miss the essential role of targets in giving data a purpose and guiding what you do next.