How do you use ERP data quality metrics and dashboards?

1 What are ERP data quality metrics and dashboards?

ERP data quality metrics and dashboards are tools that help you measure and visualize the quality of your data in your ERP system. Data quality metrics are quantitative indicators that reflect the level of completeness, consistency, accuracy, timeliness, validity, and relevance of your data. Data quality dashboards are graphical interfaces that display the data quality metrics in a clear and interactive way, allowing you to compare, drill down, and analyze the data quality across different dimensions, sources, and time periods. ERP data quality metrics and dashboards can help you identify data quality issues, track data quality trends, and evaluate data quality improvement initiatives.

2 How to define ERP data quality metrics?

The first step to use ERP data quality metrics and dashboards is to define the data quality metrics that are relevant and meaningful for your ERP system. There is no one-size-fits-all approach, as the metrics depend on the context, purpose, and scope of your data. When defining your data quality metrics, make sure to align them with your business goals and requirements. Choose metrics that are measurable, actionable, and understandable. Balance the breadth and depth of your data quality metrics. Finally, review and update them regularly based on feedback from stakeholders, changes in your data environment, or results from improvement initiatives.

3 How to collect ERP data quality metrics?

The next step to use ERP data quality metrics and dashboards is to collect the data quality metrics from your ERP system. Depending on the type and source of your data, this can be done in various ways. Data quality tools or software, like Informatica Data Quality, IBM InfoSphere QualityStage, and SAP Data Services, can be used to scan, validate, and report on the data quality of your ERP system. Additionally, data quality queries or scripts, such as SQL, Python, and R, can be employed to extract, transform, and load (ETL) the data from your ERP system and calculate the data quality metrics based on predefined rules or criteria. Lastly, manual or semi-automated processes like questionnaires, interviews, and checklists can be used to collect feedback or opinions of the data users or owners on the data quality of your ERP system. Ultimately, these methods will help you inform and reassure stakeholders while providing valuable insights for improving your cloud security posture.

4 How to display ERP data quality dashboards?

The final step to use ERP data quality metrics and dashboards is to display the data quality dashboards that show the data quality metrics in a visual and interactive way. Depending on the audience and purpose of your data quality dashboards, you can use different methods to display them. For example, you can use data visualization tools or software such as Tableau, Power BI, and QlikView; data visualization queries or scripts such as HTML, CSS, and JavaScript; or data visualization templates or frameworks like Data Quality Scorecard, Data Quality Dashboard, and Data Quality Maturity Model. These methods provide features like charts, graphs, tables, maps, gauges, colors, fonts, icons, animations, best practices, guidelines, and benchmarks.

5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?