Adoption of Analytics for Industrial, Infrastructure, and Smart Cities Use

From creating new business models to achieving margin-boosting operational optimization, end users of technology are looking to analytics to power digital transformation. However, adoption rates of analytics, particularly techniques such as machine learning, vary widely across different industrial, infrastructure, and smart city sectors and organizations. Many are still trying to understand how to best employ these analytics.

ARC Advisory Group is researching differences in these adoption rates by end users of these technologies. This short survey should take 5 minutes or less to complete. Your participation will provide insight into the rate of adoption of analytics, where their use is most prevalent, and who is involved organizationally. We will share the results with all participants so you can better understand if your efforts are on par, leading, or lagging in comparison with peer end-user organizations. 

Privacy and Confidentiality: Individual responses will be considered confidential and only aggregate information will be used in any reports.

If you have questions about the survey, please contact Michael Guilfoyle at mguilfoyle@arcweb.com.

Thank you.

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* 1. Do you consider analytics a core competency of your company?

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* 2. Has your organization developed an enterprise strategy or business case for using analytics?

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* 3. Does your organization have a C-level sponsor for implementing advanced analytics such as predictive analytics and machine learning?

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* 4. Does your organization dedicate budget for analytics?

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* 5. Does your organization have a dedicated team responsible for analytics?

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* 6. Pleases describe the types of analytics you currently use (select all that apply):

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* 7. Do you use any unstructured or semi-structured data (paper-based documents, pdfs, manuals, photos, video, email, audio, logs, etc.) in your analytics?

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* 8. Do you use machine learning?

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* 9. Does your organization use any of the following for analytics (select all that apply)?

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* 10. If you use analytics, where are they being applied (check all that apply)?

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* 11. Has your organization scaled advanced analytics, such as predictive analytics and machine learning, beyond pilots and initial use cases?

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* 12. If you are using advanced analytics, such as predictive analytics and machine learning, have you been able to demonstrate measurable improvement or ROI?

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* 13. If you have used advanced analytics, such as predictive analytics and machine learning, to demonstrate measurable improvement or ROI, what have you been able to achieve (check all that apply):

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* 14. If you are employing advanced analytics, such as predictive analytics and machine learning, who is using them within your organization (select all that apply)?

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* 15. What type of company do you work for?

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* 16. What is your organization's main focus (check all that apply)

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* 17. Where are you located?

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* 18. To receive a free copy of the survey results, please provide contact information below:

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