Embedded Files
M10-05 lecture
M10-05 lecture
Sometimes, an old-fashioned table works best
Sometimes, an old-fashioned table works best
When working with prescriptive analytics, sometimes a table works better than a visualization.
Example: Sensitivity analysis
Example: Sensitivity analysis
Sensitivity analysis often works better in a table format than in a visual format. For example, an analyst might be interested in presenting different scenarios of stock price as a function of a company's growth rate and weighted-average cost of capital (WACC). The table below provides much more useful information than any visualization could.
Example: Breakeven analysis
Example: Breakeven analysis
Breakeven analysis finds the level of sales needed to cover total costs and have exactly $0 profits. These analyses work very well with line graphs as illustrated below.
Communicating your data with words: Executive Summaries and Reports
Communicating your data with words: Executive Summaries and Reports
Once you complete your data analyses, you should summarize your findings in both visualizations and words. An executive summary is typically less than one page long and generally contains some key sections.
Statement of problem or opportunity that initiated the data analytics project.
A concise description of how the project impacts the audience. It is important to tailor any communication (written or otherwise) to the audience to whom you are delivering it. Be careful not to include jargon or acronyms that your audience may not understand.
Summary of the results that you found through the project.
Brief recommendation for the course of action based on the problem and the results found.
If you are providing a full report, the executive summary should serve as an introduction for what your audience will learn throughout the rest of the report.
If you are providing a full report, the executive summary should serve as an introduction for what your audience will learn throughout the rest of the report.
A full report should include the following.
A description of the method chosen for the analytics project.
Expanded summary of results from the executive summary. The report should go beyond the brief results provided in the executive summary.
Relevant data outputs such as correlations and results from regression analyses.
Data visualizations that help to communicate the findings.
Expanded recommendations from the executive summary that reiterate the significance of the project and how it will affect your audience.
Page updated
Google Sites
Report abuse