Example of Data Process Part 2

Hello folks,

I hope you have gone through the “Example of Data Process Part 1” before coming here. It’s really advisable to completely read part 1, then only continue with part 2.
Link: Example of Data Process Part 1

We had completed Ask, Prepare, Process, and Analyze in Part 1. Now will look into the next steps.

As data analysts, we are storytellers, but we also have to keep in mind that it is not our story to tell. That story belongs to the data, and it is our job as analysts to amplify and tell that story in as unbiased and objective a way as possible. The next step is to share all of the data and insights that you’ve generated from your analyses. Now typically for employee engagement survey, we start by sharing the high-level findings with our executive team. We want them to have a landscape view of how the organization is feeling, and we want to make sure that there aren’t any surprises as they dig deeper and deeper into the data to understand how teams are feeling and how individual employees are feeling. All of this work from asking the right questions to collecting your data, to analyzing and sharing, doesn’t mean much of anything if we aren’t taking action on what we’ve just learned. This to me is the most critical part, especially of our employee engagement survey. I like to say that the survey is actually the easy part, and acting on the results is really where the real work begins. This is where we use all of those data-driven insights to decide what types of interventions we want to introduce, not only at the organizational level, but also at the team level as well. We might find, for example, that the organization is working on a series of interventions to help improve part of the employee experience, whereas individual teams have additional roles, responsibilities to play, to either bolster some of those efforts or to introduce new ones to better meet their team where their strengths and opportunity areas are. The data analysis process is rigorous, but it is lengthy. I can completely appreciate that we as data analysts, get so excited about just diving right into the data and doing what we do best. The challenge is that if we don’t work through the process in its entirety, if we try to skip steps, we’re not going to be able to elicit the insights that we’re looking for. I absolutely love my job. I have such a deep appreciation for data and what it can do and what type of insight we can derive from it.

Thankyou.