What two outcomes are cited as benefits of data analytics in sustainment decision-making?

• A. Efficiency and readiness
• B. Higher costs
• C. Reduced data visibility
• D. Excess inventory

Answer: (A)

Data analytics in sustainment decision-making turns data into actionable insights that optimize maintenance, supply, and asset management. By forecasting failures, prioritizing repairs, and coordinating parts procurement with mission timelines, analytics helps operations run more smoothly and keeps assets performing when needed.

Efficiency comes from streamlining processes, reducing downtime, and using resources more effectively—less wasted effort, shorter repair cycles, and smarter inventory use. Readiness follows because having timely, accurate insights lets you keep equipment available for missions, meet timelines, and minimize the risk of mission interruptions due to maintenance gaps. These two outcomes are the focus of data-driven sustainment decisions.

The other options describe outcomes that analytics seeks to avoid or do not improve, such as higher costs, reduced visibility, or excess inventory.