Overly Complicated Data Analysis
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Overly Complicated Data Analysis

It’s so easy to overly-complicate the purpose of what we’re analyzing. Sometimes it’s just as simple as stating:

1. The fact

2. The issue

3. The evaluation

These measurement objectives can be described as the building segments of a finding. The basics of a conclusion.

THE FACT: The introducing description to the issue. The fact lays out the data findings in their rawest form, unfiltered in their meaning, unwavering from their truth. The positives or negatives found in the data of THE FACT are necessary in their method of being pulled and brought to attention.

THE ISSUE: Is the first step in identifying gaps within the data related to solving the business, data or previously proposed hypothesis at hand. The issue provides the direction of analyzing the data brought about from THE FACT.

(Often times the issue must be identified first prior to gathering data related to the facts, but this conversation is guided with the assumption that the issue was previously understood before being delivered to the client)

THE EVALUATION: How did you do? Did the presentation have meaning? Did you carry out the purpose of your research? Did THE FACT and THE ISSUE engage your target audience, your time frame, your team? Etc.

Stay true to the data’s original meaning.

The Data Minimalist.

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