Users confuse the mission of a data analysis report. It is not a summary of some data. A data analysis report uses the data to answer important questions and how it effects day to day operations. A summary is included in the report, but the conclusion should go beyond that. Users and readers also have a negative image of jargon. You should convey complex findings in a compact, understandable way. Data analysis reports require more specifics than academic articles. There are four sections of a data analysis report: introduction, body, conclusion and appendix. It seems simple enough, but this basic data analysis report template is blurred.
Here are a few tips to help you create a data analysis report template.
- Don’t forget the data is the main focus of the report.
- The data shouldn’t be too broad or too narrow in context to understand.
- It should be concisely written while still clearly presented. The audience wants to know how (procedure) you came to your findings (conclusion). Make it easy to read and comprehend.
- Try to avoid subject matter experts writing your data analysis reports
- They are useful. But they are not trained to compile technical documents like these. Subject matter experts tend to use jargon. Readers will lose interests with words or acronyms they don’t understand. I would not comprehend terms like the moment of inertia and modulus of elasticity. Remember, you can always interview individuals who have an area of expertise.
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Tips to help you make your Data Analysis Report:
- Stay organized.
- Define all jargon.
- Write in active voice, i.e. He spoke to me when I stopped vs. When I stopped, he spoke to me.
- Keep each sentence down to its core message.
- Answer this question: What can your results do to help future endeavors?