People Analytics Learning Hub
How to Approach Data Quality
Learn why data quality is the key to unlocking a path to people analytics and how you can create a sustainable strategy to keep it consistently high.
The is a hands-on course about the importance and impact of Data Quality on your people analytics journey.
You will have a chance to learn how and when to measure data quality on a concrete practical example. By the end of this session, you will know where to start and how to ensure that the insights derived from your analytics efforts rely on quality data that you can trust and present to your stakeholders.
Who is this course for?
This course is for:
- People Analysts
- Data Analysts looking to tackle people data
- HRs starting their people analytics journey
What you’ll learn
This course also includes a multiple-choice quiz and additional resources that lead you to a certificate.
Start the course by learning why data quality matters, where to start, and what your end-goal is, and — why even do it. Go through the journey from raw data to clean data.
As you go through the process of managing data quality, learn what falls into each of the four categories — Quality, Trust, Adoption, and Investment. Go through the steps that get you closer to knowing how to highlight the impact data quality has on organizational decision-making capabilities.
You can take three different strategies to measure data quality: proactive, reactive, and automation. Learn what each of these strategies means and how you are actually going to implement them.
Get a walk through hands-on examples and learn to address data quality in practice.
Start now — there is no time to waste. Learn about data ownership, partnering with others, and key steps to ensuring data quality in practice.