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ACCA Strategic Professional · Strategic Business Leader · Big data and data analytics

Halden Logistics uses sensor data from vehicles to predict maintenance needs. A review finds that 15% of sensor readings are faulty because of calibration errors and duplicated feeds, so predictions are sometimes misleading. Which V of big data is most directly compromised, and what does it imply for the board?

Veracity is compromised, because calibration errors and duplicated feeds make the data unreliable. The board should invest in data quality controls and cleansing before relying on the predictive analytics. Speeding up processing or standardising formats would not correct inaccurate source readings.

  1. AVolume; the company should collect less data to reduce storage cost
  2. BVeracity; the company should invest in data quality controls before relying on the analyticsCorrect
  3. CVelocity; the company should process the data more quickly in real time
  4. DVariety; the company should convert all data into one format

Explanation

Faulty and duplicated readings concern the trustworthiness and accuracy of data, which is veracity. The implication is to introduce data cleansing and quality governance before decisions depend on the output. Faster processing or format conversion would not fix inaccurate readings.

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