The Data Audit is the first and very important step to assess a company’s data quality and it’s fitness for a given purpose. We conduct the Data Audit as a multilayered discovery process, involving different stakeholders, to take a deep dive into the dataset.

The key steps of the process are:

• Identify business pain points
• Acquire and analyze material and vendor data
• Segregate the data based on quality and nature of issues
• Identify corrective and preventive steps needed
• Develop a report with findings and recommendations

The Audit will provide answers to questions such as:

• How bad is the data?
• What are the main problems?
• How is bad data affecting the business?
• How can the issues be resolved?
• How can you prevent bad data from entering the systems?