Corporate data-driven decision making and the role of Artificial Intelligence in the decision making process.

This survey aims to investigate your sentiment towards corporate decision making. As it relates to you, as the individual decision maker, the available data and tooling used to support your corporate data-driven decision making process.

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* 1. What is your gender?

Female

Male

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* 2. What is your age?

17 or younger

18-20

21-29

30-39

40-49

50-59

60 or older

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* 3. What is the highest level of school that you have completed?

Primary school

Some high school, but no diploma

High school diploma (or GED)

Some college, but no degree

2-year college degree

4-year college degree

Graduate-level degree

None of the above

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* 4. Which of the following best describes your current job level?

Owner/Executive/C-Level

Senior Management

Middle Management

Intermediate

Entry Level

Other (please specify)

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* 5. What department do you work in?

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* 6. How data-driven is your company?

Less than 20% of corporate decisions are data-driven.

About 50% of our corporate decisions are data-driven.

More than 80% of our corporate decisions are data-driven.

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* 7. Who are the best decision makers in your company?

Women are the best corporate decision makers.

Gender does not play a role in corporate decision making.

Men are the best corporate decision makers.

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* 8. Do you enjoy making decisions relevant to your company?

I hate making decisions.

I do not enjoy making decisions.

I am okay with making decisions.

I enjoy making decisions.

I love making decisions.

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* 9. How would you characterize your decision making skills in comparison with your peers?

Worse.

About the same.

Better.

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* 10. Do you consult with others before making a decision?

I rarely consult others (e.g., 3 out of 10 times or lower).

Approximate half of my decisions have been in consultation with others.

I frequently consult others (e.g., 7 out of 10 times or higher).

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* 11. Do you rely on 'gut feelings' when making corporate decisions?

Never.

Infrequently.

Approximately half of my decisions.

Frequently.

Always.

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* 12. How would you characterize your 'gut feelings' compared to your peers?

Worse.

About the same.

Better.

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* 13. How often is available data considered in your corporate decisions?

Data is never considered.

Infrequently.

In approximately half of my decisions data are considered.

Frequently.

Data is always considered.

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* 14. How often is data available for your corporate decisions?

Never or very rarely.

Infrequently.

For approximately half of my decisions.

Frequently.

Very frequently or always.

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* 15. When data is available, how would you characterize the quality of that data?

Very poor (i.e., no basis for decisions).

Poor (i.e., uncertain, error prone, biased, very limited availability).

Good (i.e., uncertain, directionally ok, some bias expected, limited availability).

High (i.e., reliable, limited uncertainty, limited bias, sizable data available).

Very high (i.e., meets the stringiest test to data quality, large amounts of relevant data, largely unbiased).

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* 16. How would you characterize your most important corporate decisions in terms of the use of available & relevant data?

Never data-driven (i.e., no relevant data available).

Rare-data driven (i.e., based on tiny amount of relevant data).

Small-data driven (i.e., based on small amounts of relevant data).

Large-data driven (i.e., based on large amounts of relevant data).

Big-data driven (i.e., based on huge amounts of relevant data).

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* 17. How important is human opinion compared to data-driven insights in your corporate decision making?

It is irrelevant.

It is of some importance.

About half of my decisions are based on human insights.

It is very important.

It is exclusively used for my decisions.

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* 18. Are you doing any statistical checks on your available data, assumptions and decisions prior to executing your corporate decision?

Always.

Usually.

Sometimes.

Rarely.

Never.

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* 19. Have you heard of Artificial Intelligence (A.I.)?

No.

Yes.