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HR Metrics & Analytics:

Moving Beyond the Basics

Jeanne J Holmes, PhD

Data storytelling

You have data and a story to tell

vs.

Sentence

About 58 percent of the top brands in the world have over 100,000 Twitter followers.

Data points

58 %

of the top brands in the world have over 100,000 Twitter followers.

Visual

58 %

of the top brands in the world have over 100,000 Twitter followers.

Providing context and story to data makes it more interesting and easy to understand

Data storytelling isn’t limited to the written word

Stories are always more relatable

they make up 2/3 of our conversations

The story of John and Michael

Boss asks them to provide some stats about the different ethnicities living in New York.

Both went to Wikipedia.

John

The New York City metropolitan area is home to nearly a quarter of the nation's Indian Americans and 15% of all Korean Americans and the largest Asian Indian population in the Western Hemisphere; the largest African American community of any city in the country; and including 6 Chinatowns in the city proper, comprised as of 2008 a population of 659,596 overseas Chinese, the largest outside of Asia. New York City alone, according to the 2010 Census, has now become home to more than one million Asian Americans, greater than the combined totals of San Francisco and Los Angeles. New York contains the highest total Asian population of any U.S. city proper. 6.0% of New York City is of Chinese ethnicity, with about forty percent of them living in the borough of Queens alone. Koreans make up 1.2% of the city's population, and Japanese at 0.3%. Filipinos are the largest southeast Asian ethnic group at 0.8%, followed by Vietnamese who make up only 0.2% of New York City's population. Indians are the largest South Asian group, comprising 2.4% of the city's population, and Bangladeshis and Pakistanis at 0.7% and 0.5%, respectively.

Michael

Ethnic communities in the New York metropolitan area

It’s not just the data - it’s what the data means.

Contrast

Trends

Outliers

Reporting data

Presenting data

Presenting data

The speaker’s insight into the story of the data and why it matters

Presenting data

Know your audience

This will help determine how much data to share

EXAMPLE:

Is your audience prepared to dive straight into the data or do they need to understand what the data is?

Use data strategically

Visuals should make an impact

EXAMPLE:

“Sales by Region” vs. a story about the West Region growing substantially over the last period

Focusing on rapid growth in the West is more memorable than listing numbers

Your data is the hero

Share stats that are truly significant, impressive, clear

On a scale 1 to 10 how would you rate the content of our blog?

EXAMPLE:

Infogram conducted a blog reader survey to determine the success and validity of our content.

Use color and clear labels to highlight the impressive statistics.

Tips for presenting data

Presentations with compelling visuals are

43% more persuasive than those without.

Tips

1

1.

Don't use two figures to represent the same number

2

Avoid back-to-back charts

2.

Switch the format and content to keep your audience engaged

3

3.

Leave your visual up for a few minutes and tell a story

Explain what the chart says

4

Show the right amount of data

4.

Don’t include unnecessary data

vs.

5

Visuals must be very clear

5.

Never sacrifice clarity for more information

Separate related data instead of combining datasets onto one module

Include visuals along with the data points

Highlight 1-2 significant key features

vs.

6

6.

Additional design tips for data visuals

Don’t make your audience work harder than they need to to understand the data

Labels, titles, and legends need to be large format, easy to read, visible fonts

Colors should be clear, contrasting, pleasing, branded, consistent

Keep it simple - avoid unnecessary text, colors, grids, legends, etc.

Maintain consistency in design and branding

Explain where your data comes from

- attribute, source, credibility

No-No's

Things you should not do

Truncated y-axis

Use similar colors and categories

Poor use of dual axis

Improper sized visuals/illustrations

The story of David McCandless

Amazing popular TED talk about the beauty of data visualizations

Over 2.5 million views

He follows the tips we went over in this webinar

Conclusion

It only takes a little bit of time to look at the data you are presenting to plan what you’d like to say

Just make sure you aren’t overwhelming your audience and are presenting your data as simply as possible

You took time collecting and analyzing your data, now you can use it to make a great presentation

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