Data Analysis & Decision Making Flashcards

A records manager is compiling an annual program report. Which combination of data best demonstrates program value to leadership?

Answer: Cost savings, compliance rates, retrieval efficiency, and risk reduction metrics

A balanced set of metrics spanning financial impact, compliance, operational efficiency, and risk reduction gives leadership a multidimensional view of program value.

Which concept describes the risk that a data analyst draws incorrect conclusions because aggregated group-level data does not accurately reflect individual-level patterns?

Answer: Ecological fallacy

The ecological fallacy occurs when group-level statistical trends are incorrectly applied to individuals within that group, leading to faulty conclusions.

A CRM discovers that a records audit found significantly fewer compliance issues in departments that recently received training. The most defensible conclusion is that:

Answer: There is an association between recent training and fewer compliance issues, but causation requires controlled study

Observational data shows association, not causation; other variables (e.g., department size, record types) may explain the difference, so causal claims require a controlled design.

A records manager must choose between two vendors based on performance scores. Vendor A scores higher on retrieval speed but lower on security. Which decision tool helps assign relative importance to each criterion before selecting?

Answer: Weighted scoring model

A weighted scoring model assigns priority weights to each criterion, multiplies them by vendor scores, and sums the results to produce a defensible, balanced selection.

When conducting a records inventory analysis, which measure helps identify how evenly records volume is distributed across departments?

Answer: Standard deviation of records volume across departments

Standard deviation measures how spread out values are around the mean; a high standard deviation reveals that records volume is unevenly distributed across departments.

A records manager is asked to justify the staffing level for a records center. Which type of data provides the strongest quantitative justification?

Answer: Workload analysis data linking transaction volume to processing time per FTE

Workload analysis data that ties measured transaction volumes to documented processing times per FTE produces a defensible, quantitative basis for staffing decisions.

A CRM reviews annual active records growth data and projects that current storage will reach capacity in 18 months. This projection is an example of:

Answer: Predictive analytics forecasting a future state based on historical trends

Forecasting when a resource will be exhausted by extrapolating historical growth trends is a predictive analytics application that anticipates a future state.