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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.

How to Approach Data Quality - Henrik Håkansson - People Analytics Courses - People Analytics Learning Hub - Orgnostic


At yout own pace

70 minutes

on-demand video

6 modules

+ additional resources


member access


Save 65% with Full Access

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

Key takeaways

What you’ll learn

Why data quality matters and what impact it has on the organizational ability to do any people analytics

When to measure data quality, as well as principles to ensure the measures are impactful

How to measure data quality efficiently, while reducing complexity for your stakeholders

Where to start and how to ensure the continuous tracking of data quality


Topics covered

This course also includes a multiple-choice quiz and additional resources that lead you to a certificate.

Value & Growth of People Analytics

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.

The Importance of Data Quality

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.

When and How to Measure Data Quality

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.

Practical Examples

Get a walk through hands-on examples and learn to address data quality in practice.

Where to Start

Start now — there is no time to waste. Learn about data ownership, partnering with others, and key steps to ensuring data quality in practice.


Meet your instructor

How to Approach Data Quality - Henrik Håkansson - People Analytics Courses - People Analytics Learning Hub - Orgnostic

Henrik Håkansson

Senior Director, People Systems

Henrik’s journey into People Analytics began in 2014, when he got his first role in HRIS at Sony. Since then, he’s developed global strategies for reporting, data governance, and later on, People Analytics, at both Sony and Delivery Hero. Currently, he is a Senior Director, People Systems @Delivery Hero.

Henrik’s truly passionate about People Analytics and sharing with others how it can help elevate the performance of businesses everywhere.

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