What's included

• Error Correction:

  Identification and correction of inaccuracies and anomalies in the data.

• Data Enrichment:

  Enhancing datasets with additional relevant information for greater value.

• Data Normalization:

  Adjusting and transforming data to a common scale without distorting differences.

• Outlier Detection and Management:

  Identification and appropriate treatment of outliers to maintain data quality.

• Data Formatting

  Conversion of data into the required formats for seamless integration and analysis

• Comprehensive Reports

  Detailed reports on data quality, issues addressed, and improvements made.

• Quality Assurance

  Rigorous quality checks to ensure the highest level of data accuracy and reliability.

• Ongoing Support:

  Continuous support and maintenance to address any future data cleaning needs.