Many organizations can achieve data quality by applying the most effective methodology for accelerating the data cleansing and control processes.
The ten major steps that must be taken to achieve Data Quality are:
- Acknowledge the problem
- Identify the root causes
- Determine the scope of the problem by prioritizing data importance and performing the necessary data assessments
- Estimate the anticipated ROI, focusing on the difference between the cost of improving Data Quality vs. the cost of doing nothing
- Establish a single owner of Data Quality with accountability (e.g., make it a senior management role, such as a Data Officer/DQ COE)
- Create a Data Quality vision and strategy
- Identify the key change drivers
- Develop a formal Data Quality improvement program based on specific tools wherever possible
- Use a value-driven approach for large projects
- Make it a priority to move your organization up through the levels of the Data Maturity model
Need help with achieving data quality. Bardess Group provides Data Quality solutions for Fortune 500 and middle-market corporations that are targeted at:
- Increasing Customer Satisfaction
- Increasing Revenue and Margins
- Increasing Collaboration between Functional Departments
- Improving Operational Efficiency
Contact us today for more information.