Use Your Subject Matter Experts as Part of Your Data Quality Initiatives

pankaj-patel-516482-unsplash  An article in the autumn issue of strategy+business  Digital Champions discussed the imperatives of linking all IT systems across the organization to be able to compete, excel and innovate. Certainly, as data is used for decision making, you need to link all pieces of your information architecture together in a way to create an intelligent organization. That means getting data quality right.

First, data quality requires essential tasks like making sure your inputs are accurate. And it goes even further than that. Getting data quality right means that your assessments of your data are also accurate. You’ve got to know what it means and how it is likely to impact you to truly experience the power of the information you are gathering.

For that, you need more than your IT team. Think strategic. Think long-term. And think about involving your experts from across the organization to make sure you are interpreting your information in a way that you truly have an intelligent system.

Here are a few ways to engage your experts in your cross-organization data efforts:

  1. Involve them in determining the parameters for quality inputs.

Your experts understand what defines accurate data in their own field. Involve physicians, chemists, engineers, human resource professionals and so on when you are creating parameters. The values you have been using may be outdated, or the ones set my standards organizations may not apply to your special case, for example.

  1. Ask them to help you rank projects and initiatives by importance

This is where your business teams are especially critical. Your executive team knows best the direction of your organization, so make sure to start there. Then drill down to find out the order in which things should roll out both from a practical perspective (you can’t implement B without making A operational) and which functions are most essential for running the business day-to-day so you don’t trip up your current operations.

  1. Make them part of your documentation teams

After you’ve built it, you need to capture what you’ve done so it can be maintained, built upon and improved over time. Documentation is essential to information management. People need to be able to use it, know where to find it and train others on it. For that, make sure your experts are involved in documenting your systems because they understand the logic behind them and can put the content in context. Sales managers need to be involved in documenting software used by their teams, and so on.

  1. Leverage their experience to help you integrate your initiatives across units, divisions, etc.

No man is an island, and no data capture effort can stand on its own, either. If it is important enough to capture and analyze, it has impact beyond your own part of the organization. Involve people who understand impact upstream, downstream and who know where the bridges are that cross the stream. Cross-check your data gathering efforts with the people who will use it or will be impacted by it in all pockets of the organization and outside the organization – like your customers, suppliers and wholesalers.

  1. Include them in your long-term strategic planning process

We usually think of strategic planning as the province of the executive team and the board of directors. When you dig down into an organization, you have experts in pockets everywhere who may hold vital pieces of information who may contribute to altering your plans or even redirecting them completely. Your experts in different areas will see things in the data and trends that impact your direction.

The quality of your data is only as good as the parameters you set when you determine what to collect, the integrity of the inputs, the way it is organized and interfaced, and the way it is interpreted. Each one of those phases requires experts across the organization who “get it” when it comes to their corner of the world. Find them and ask them.

Photo by Pankaj Patel on Unsplash

 

 

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