Having a standard to which all your data must conform allows for reliable, replicable results and easy reporting. In this unit: Why data standards are important, what challenges you will face, and how to overcome them.
Why they matter
Data collection is, in theory, a linear process. Send survey > get response > analyse response > take action. Unfortunately, getting people involved mucks all this up. Data standards are the only way to avoid it all getting too messy to use effectively.
The goals and the challenges
Data standardisation can be a complex objective to tackle, and there are many pitfalls along the way. That said, the potential benefits to your organisation and your residents are vast. Here's why.
Data standards top tips
When dealing with this complex topic, it can get overwhelming fast. Here are some tips gleaned from a pro in this field on how to create standards that have real impact.
Bonus resource!
Navigating GDPR is no one's first choice of activity. But there's no need to stress. We've assembled a guide on navigating the murky waters of data protection. Get it for free below:
Congratulations on finishing the Data & Strategy module.
What did you think?
We'd love to get your advice on how to improve this module. How useful did you find it?
Next module:
Insight
The next step in the Wordnerds Feedback Framework is extracting Insight from your data.
