Depending on how you look at it, this is either our "Revenge of the Sith" installment or our "Return of the Jedi" installment. There's only one correct answer.
Last time, we discussed some of the many tools available for data management and processing. This time, we'll be discussing how to determine which types of customer data to collect that make the most sense for your organization.
The type of data you collect is just as important as how you use it. There are endless combinations of data types your organization could use in order to improve as a whole.
- If that sounds daunting, the best question to ask yourself is "what are my organization's goals, and what do we need to do to get there?"
Having these goals in mind puts you on the path to understanding the types of data your organization needs for continued success. To get you started though, here are some of the most common types of data organizations use:
- Customer satisfaction data
- Net Promoter Score (NPS)
- Customer transaction data
- Brand awareness and perception data
- Data on why your customers do business with you
This is by no means an exhaustive list, but it's a good starting point. With time, your organization will understand the right types of data to collect. Now that you have your data though, what the heck do you do with it?
Did someone say Part IV?