The formula to calculate data reliability is:
\[ \text{R} = \left( \frac{\text{E}}{\text{T}} \right) \times 100 \]
Where:
Data reliability refers to the consistency and accuracy of data over time. It indicates the extent to which data is free from errors and can be trusted for decision-making and analysis. High data reliability means that the data is accurate, complete, and consistent, making it a valuable asset for any organization. Ensuring data reliability involves regular data validation, cleaning, and maintenance processes to minimize errors and discrepancies.
Let's assume the following values:
Using the formula:
\[ \text{R} = \left( \frac{950}{1000} \right) \times 100 = 95 \]
The Data Reliability is 95%.
Let's assume the following values:
Using the formula:
\[ \text{R} = \left( \frac{800}{850} \right) \times 100 \approx 94.12 \]
The Data Reliability is approximately 94.12%.
