6. Data Communication
through Visualization
Data presentation plays the key role in interpretation of the
communicated information by the audience. A variety of methods can be
used to communicate information including textual forms, however, these
are often overwhelming to interpret due to complexity or/and amount of
data. As a result, the audience can misinterpret the information which is
why it is crucial to present data in a way which is easily understood.
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7. We should never make the
mistake of assuming that the
results will “Speak for
themselves.
Two Key Insights
Most audiences neither
understand nor appreciates
statistics, they care about
results and interpretations.
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9. What not to say
Since analytical people are comfortable with technical terms they
often assume that their audience will be too. But most of the
audience won’t understand the technical jargon. As one analyst
at a travel firm put it, “Nobody cares about your R2.”
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11. How can it help Managers
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✗ Empowers management to make better decisions.
✗ Helps identify trends to stay competitive.
✗ Increases the efficiency and commitment of staff in handling
core tasks and issue.
✗ Identifies and acts upon opportunities.
✗ Promotes low-risk data-driven action plans.
✗ Validates decisions.
✗ Helps in selecting target audience.
✗ Facilitates sensible recruitment of talent.
12. How to communicate the Data
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✗ Understanding of the business problem
✗ Measuring the business impact
✗ What data is available
✗ The initial solution hypothesis
✗ The solution
✗ The business impact of the solution
13. Preventing Data Overload
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✗ Assess the accuracy of your data.
✗ Analyze what the data says.
✗ Determine what is most important to your audience.
✗ Identify the most meaningful format for presenting your data.
