When assessing how often data needs to be collected, what factors influence the determination of frequency? (Select all that apply)

Question

Options

• ASystem downtime
• BData source availability
• CBusiness cycle timing
• DRate of data change

• A
  4% (2)
• B
  5% (3)
• C
  91% (51)

Explanation

Frequency of data collection is driven by two core analytical factors: how fast data changes and when the business needs it.

Rate of data change (D) is fundamental - volatile data (e.g., stock prices, IoT sensor readings) requires frequent collection to remain accurate and useful, while slowly changing data (e.g., annual demographics) does not. Business cycle timing (C) is equally critical because collection frequency must align with operational rhythms - if financial reports close monthly, data must be collected often enough to support that cadence.

System downtime (A) is a constraint on when collection can occur, not a driver of how often it's needed - it may interrupt collection but doesn't define the requirement. Data source availability (B) similarly affects access, not the underlying business need for frequency; if a source is unavailable, you work around it, but that doesn't change how often the data is needed.

Memory tip: Think "BC/DC" - Business Cycles and Data Change are the two factors that determine frequency. The other options (downtime, availability) describe operational obstacles, not analytical requirements.

No community discussion yet for this question.