Incorrect or inconsistent data can lead to false conclusions and misdirected investments.
The key to any business being able to rely on the data and reporting it produces is to have clean reliable data.
Whether it is a new system implementation or reporting of existing data, it is key that the data your business relys on to make the correct decisions is accurate.
The key to using data is Quality, we use these criteria to ensure data quality:
- Validity. The degree to which your data conforms to defined business rules or constraints.
- Accuracy. Ensure your data is close to the true values.
- Completeness. The degree to which all required data is known.
- Consistency. Ensure your data is consistent within the same dataset and/or across multiple data sets.
- Uniformity. The degree to which the data is specified using the same unit of measure.
Services that we provide:
- Quality Check
- Data Validation
- Data Deduplication
- Data Standardisation
- Data Normalisation
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