Now that you’ve established your data standards and processes, you need to focus on how to establish continuous improvement and oversight to keep the bad mountain of data from returning. As a reminder from our previous blog posts, ownership and design is the core component of Data Stewardship and involves assigning and communicating data ownership and accountability. Next comes quality standards and communicating the relative business value of data and establishing processes accordingly. The third cornerstone of data stewardship is quality standards.
Now, let’s dive into today’s topic. We’ll discuss the importance of actively engaging and measuring, ultimately making data stewardship part of the fabric of your organization.
A key to proactive management of your data includes building into your current operational processes a Plan, Do, Check, Adjust approach. The prime example is when a data owners finds a pattern of misaligned data, they might be tempted to just correct the data. Using a PDCA approach, however, would lead them to investigate the source of the error immediately instead of putting it off until later.
In an ideal world, you’d rarely have a data quality problem going forward if you make data stewardship a priority. But knowing the reality of today’s dynamic business environment, when quality issues arise, having a data improvement plan is important. If your dataset becomes bad, do you have a process, defined methodology, or improvement plan to get it caught up while you’re fixing the cause of the problem? In the event that the design isn’t executed, identify an improvement plan and incorporate it.
The keys to remember for data integrity are the importance of building data monitoring and improvement into your processes the first time and getting the responsibility for clean data tied to people’s operational roles and job performance (have it written into their job description or performance evaluation).
To wrap up the data stewardship series, there are four key areas of focus that when managed intentionally lead to a solid data stewardship environment. To help you get started we have created a “Data Stewardship Checklist.”