Companies use analytics, or data, for a long time. However, companies seem to have a hard time prioritizing the data received and using it to achieve success. Employers try to micromanage their employees which results in data not being properly analyzed. To fix this problem, companies need to fix their hiring process so employees can do what needs to be done. Step two is asking questions, learning departments and their processes. Next is collecting data and breaking down what needs to be done. The last steps are simply presenting the data and offering change, which if allowed then make proper changes to make more money.
Key Takeaways:
- Although many companies are getting efficient in the collection of data they do not have a clue what to do with it.
- Analytics is usually perceived by companies as a technical challenge but that is not the case.
- Researchers at Northwestern University think that the data challenge is a cultural thing. Employees need to ask questions the data can answer.
“In short: data means nothing unless it can be explained to the people who matter.”