Draft Summary of Findings: Draft a paragraph or two of discussion for each finding in your study. Assert the finding. Tell the reader how the finding is important or relevant to your studies aim and focus. Compare your finding to the literature.

In addition to the measurements taken during the experiment, the results section should include any observations that were made during the experiment. Unexpected phenomena may affect the results in ways that are not known by the author of the lab report but may be of significance to the reader.

Experimental studies

1. Present results in tables and figures.
2. Use text to introduce tables and figures and guide the reader through key results.
3. Point out differences and relationships, and provide information about them.
4. Include negative results (then try to explain them in the Discussion section/chapter)

Due to clarity demand, summary of findings must contain each specific question under the statement of the problem and must be written first to be followed by the findings that would answer it. The findings should be textual generalizations, that is, a summary of the important data consisting of text and numbers.

Q: What is the difference between findings and results? Answer: Generally speaking, there is no real difference between the two. Technically or academically speaking, ‘findings’ seems to be used more for qualitative studies whereas ‘results’ seems to be used more for quantitative studies.

Discussing your findings

1. DO: Provide context and explain why people should care. DON’T: Simply rehash your results.
2. DO: Emphasize the positive. DON’T: Exaggerate.
3. DO: Look toward the future. DON’T: End with it.

Conclusions interpret the findings or results of an investigation. Recommendations follow conclusions and are opinions supported by the report’s findings.

In the analysis section, you describe what you did with your data. In the findings or results section, you report what the analysis revealed but only the factual matter of the results, not their implication or meaning. The findings are the research questions that you found answers for during your research.

Methods analysis is the study of how a job is done. Whereas job design shows the structure of the job and names the tasks within the structure, methods analysis details the tasks and how to do them. Methods analysis. Process concerned with the detailed process for doing a particular job.

Some advanced analytics methods include:

• Data mining. Data mining is the process of identifying sequences, relationships, or anomalies in large amounts of raw data.
• Machine learning.
• Cohort analysis.
• Cluster analysis.
• Retention analysis.
• Complex event analysis.
• Predictive analysis.
• More time to focus on strategy.

There are three basic types of analytical techniques: Regression Analysis. Grouping Methods. Multiple Equation Models.

The three dominant types of analytics –Descriptive, Predictive and Prescriptive analytics, are interrelated solutions helping companies make the most out of the big data that they have. Each of these analytic types offers a different insight.