What best describes the relationship between data governance and data analytics in strategy execution for facilities?

What best describes the relationship between data governance and data analytics in strategy execution for facilities?

• A. Data governance defines ownership, quality, and security; analytics uses data to inform decisions; both integrated.
• B. Data governance is optional; analytics alone suffices.
• C. Analytics uses governance to enforce security.
• D. Governance handles security only; analytics handles reporting only.

Answer: (A)

In strategy execution for facilities, the relationship is that data governance and data analytics work together to turn data into trustworthy, action-ready insights. Data governance sets who owns data, what quality standards apply, how data is defined, stored, secured, and accessed. This creates data that is consistent, accurate, and protected, which analytics can reliably use. Data analytics then digs into that governed data to produce insights, dashboards, and forecasts that inform decisions on maintenance, energy use, space planning, and capital investments. When they’re integrated, you get decisions grounded in reliable data, with clear accountability and appropriate protections. Without governance, analytics may be fed poor or insecure data; without analytics, governance remains abstract and can’t drive strategy.