How can you communicate SQL DB2 data quality issues to non-technical stakeholders?

1 Explain the data quality dimensions

One way to communicate SQL DB2 data quality issues is to use the data quality dimensions framework, which defines six aspects of data quality: accuracy, completeness, consistency, timeliness, validity, and uniqueness. For each dimension, you can explain what it means, why it matters, and how it is measured. For example, you can say that accuracy refers to how well the data reflects the real-world entities and events, and that it is important for making correct decisions and avoiding errors. You can also show how you use SQL queries, functions, and procedures to check and improve the accuracy of your data.

2 Use visual aids and examples

Another way to communicate SQL DB2 data quality issues is to use visual aids and examples that illustrate the problems and solutions. You can use charts, graphs, tables, dashboards, or reports to show the current state of your data quality, the trends over time, the gaps and anomalies, and the impact on your key performance indicators. You can also use real or hypothetical scenarios to demonstrate how data quality issues affect your business processes, customers, or stakeholders. For example, you can show how a missing or invalid value in a customer record can lead to a failed delivery, a dissatisfied customer, or a lost opportunity.

3 Align with business goals and values

A third way to communicate SQL DB2 data quality issues is to align them with your business goals and values. You can show how improving data quality can help you achieve your strategic objectives, such as increasing revenue, reducing costs, enhancing customer loyalty, or complying with regulations. You can also show how data quality aligns with your organizational values, such as trust, transparency, innovation, or excellence. For example, you can say that by ensuring data quality, you can build trust with your customers and partners, provide transparent and accurate information, foster innovation and learning, and deliver excellence in your products and services.

4 Involve and empower your audience

A fourth way to communicate SQL DB2 data quality issues is to involve and empower your audience. You can ask for their feedback, input, or suggestions on how to address the data quality issues. You can also share your action plan, timeline, and milestones for improving data quality, and invite them to participate or support your efforts. You can also acknowledge their concerns, challenges, or expectations, and show how you can help them overcome or meet them. For example, you can ask them how data quality affects their work or decision making, and how you can provide them with better data quality tools or reports.

5 Use simple and clear language

A final way to communicate SQL DB2 data quality issues is to use simple and clear language that your audience can understand and relate to. You can avoid using jargon, acronyms, or technical terms that may confuse or alienate your audience. You can also use analogies, metaphors, or stories that can make your message more engaging and memorable. You can also use positive and constructive tone that can motivate and inspire your audience. For example, you can say that data quality is like the foundation of a building, and that by fixing the cracks and gaps, you can make your building stronger and more stable.

6 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?