#DataProPoll: The State of Data Analytics

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I am preparing to launch a data science survey in the next couple of weeks. This study will be help verify the findings from a similar study I conducted two years ago (see Investigating Data Scientists, Their Skills and Team Makeup) as well as help me explore additional topics of interest (e.g., satisfaction with data science bootcamps, platforms and deployment models). If you are a data professional and would like to complete the study, please sign up for my newsletter or follow me on social media (twitter, LinkedIn, Google+) as I will announce the launch of the study via those vehicles.

In preparation for that study, I am conducting polls for data professionals using Twitter (#DataProPoll) on some of the topics (people, processes and technologies) I will be studying in my larger study.

If you are on Twitter (and a data professional), you can take this week’s #DataProPoll below.

#DataProPoll > Indicate the type of data you work with in your data #analytics projects. #datascience #machinelearning

— Bob E. Hayes (@bobehayes) August 1, 2017

Below are the results of the recent polls I conducted.

Satisfaction with Project Outcome

63% of data professionals are satisfied with the outcome of the analytics projects on which they work. 37% of them are dissatisfied.

#DataProPoll > How satisfied are you with the outcome of analytics projects on which you work? #DataScience #analytics

— Bob E. Hayes (@bobehayes) July 24, 2017

Analytics for Machines or Humans

Most of the data professionals (63%) said the data work they do is for human consumption while only 15% of data professionals said the data work they do is for machine consumption.

#DataProPoll > Indicate the degree to which the data work you do is for either machine or human consumption. #datascience #machinelearning

— Bob E. Hayes (@bobehayes) July 17, 2017

Job Roles of Data Professionals

Most of the data professionals said that the role they play on data projects are as Data Scientists (47%), followed by Data Engineers (27%) and Subject Matter Experts (16%).

Data pro poll: What option best describes the role you play on data projects? #bigdata #datascience #machinelearning

— Bob E. Hayes (@bobehayes) June 6, 2017

The Data Science Survey

Be sure to sign up for my newsletter or follow me on social media (twitter, LinkedIn, Google+) if you want to hear about the upcoming data science survey. Each respondent to the data science survey will receive a free self-assessment of their proficiency across five data science skills and an executive summary of the report.