You have data you use and data you keep. Just like things you have to tidy up all the time in your home, and the stuff you have in storage. They have different features, and we'll show you how to combine them for the best quality.
There are differences in data qualities, making some data more valuable than other. Let's look into the difference between A and B data.
|A Data||B Data|
|Is generated in the workflow||Is created from reporting|
|Has a QA/QC process||Only transparent to creator|
|Is updated on change||Is outdated on change|
|Can be forwarded in the workflow||Requires extra efforts to transfer|
|Has a proud owner||Is not maintained|
As the table above shows, A data has a lot of features which adds obvious value for decisions and planning, while the B data reduces the value, and the quality of the decisions made.
Features of A and B data are a function of local and corporate storage but not completely, you can see how features are distributed in the figure below. It's clear that to get to A data, you need to combine features from the corporate and local storage, and add some new opportunities.
Getting to A data
How to get your team and organization working on A Data? There are two essential steps to success:
- give more value in return of good data, and
- have the owners of the data maintain the data
Trading quality data
Is the following also your experience?
Why do you keep data in a spreadsheet and document when you have a corporate storage? Because you trust your own data more than the corporate system.
What would make you invest in improving the corporate database? That you get more value back.
If they are, we can apply these principles to the data infrastructure, saying that the data platform must present the same level trust as your own work, and you must get more value back for the extra effort it is to report data. Our platform is strong on trust, and removes the reporting.
When engineers have an inspiring platform where the data adds value to their colleagues work, they open up for sharing more. We in Pro Well Plan emphasize collaboration and team work in every step, and strive to remove tedious work and replace it with value adding processes. Our users tell us it feels like an Apple product to navigate the workflows which previously were a nightmare of spreadsheets and reports.
Inspiring the users is the key to get data, but also to maintain the data. The more people who joins the team, the more people can give you feedback, and you learn more while you are improving the data.
This is a win-win, the users get a better workflow, and the company get's A data.
Personal Data Responsibility
You need to be able to report and trust the system which maintains the data. If you upload some data dump into a platform without clear responsibility of maintaining the data, you are cutting the branch you are sitting on.
Most companies have experts whose role is to maintain the corporate datasets, and they have very high quality standards for their work. And they are frustrated over the fact that the data isn't used merely as much as would be fit, because of all the local spreadsheets floating in operations. That's what we have changed.
By bridging the data management experts with domain experts and including a smooth two-way reporting line on data improvements, we make users confident in reporting data errors.
In fact, our biggest worry is that no-one comments on data errors, because then they are not trusting that the data will be improved, and we are grateful for any complaints of data errors we receive.
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