Use cases for data science and analytics continue to grow, and more companies than ever are investing big bucks and a lot of energy into developing their quantitative teams.

We teamed up with DataScience to find out just how companies make use of this significant investment. You can check out some of their additional thoughts here. As we put it, we wanted to find out whether companies have a “the more the merrier” approach to sharing quantitative analysis, or if most of the company is still not invited to the data party.

We sent a quick “flash survey” to our network of analytics and data science professionals asking them:

Who are the ultimate recipients of all the models, recommendations, charts, etc. that you create? Who views and/or uses your work?

The analysis conducted by DataScience yielded a lot of interesting insights. Here are our top six:

1. Out of the five audiences we included, clients/customers are the most likely to “always” receive analysis from their data teams, while sales teams consume the least amount of analytics results.

2. Within quantitative teams, other data science, analytics, or business intelligence professionals are the most likely to always or sometimes use their teammate’s analysis, however only 56% of respondents say they always share their work with the rest of the team.


3. When looking at traditional predictive analytics professionals (who work with structured data) and data scientists (who work with unstructured data), the results were fairly similar. This could be because the two groups often work side by side on quantitative teams and share results similarly, rather than being at odds with each other.

4. Analytics professionals and data scientists working in Tech/Telecom/Gaming are the most likely to always reach the C-Suite.

5. The most significant sharing with others on the data team happens in Financial Services.

6. Not surprisingly, Marketing/Advertising and Consulting firms share their work with clients/customers most frequently.

Overall, the results show a glimpse into how data is being put to use across many facets of the business, but they also show clear room for improvement in the form of more consistent sharing. As these quantitative teams continue to grow and become a mainstay in the business, more companies will be looking hard at the return on their sizable investments. We’re predicting a greater scrutinizing of analytics ROI this year, and one of the ways that companies might evaluate this is to see how widespread their quantitative team’s work is throughout the business.

What do you think of the results – did anything surprise you? Based on these data, where do you think the greatest opportunities lie? Let us know in the comments, and if you have any suggestions for future flash surveys feel free to let us know!

2 Responses to “Survey Results: Who Ultimately Uses Data Science & Analytics Work?”

  1. Proquotient

    The survey results above are very interesting in which we come to know who actually consumes the data. I would say with the explosion of the internet and smart devices the data consumption is only going to increase.


      I am somewhat concerned with the lack of distinction in one of the statements herein above, “…Out of the five audiences we included, clients/customers are the most likely to ‘always’ receive analysis from their data teams, while sales teams consume the least amount of analytics results.” “Always receive” is not the same as consumption.

      Also, was the basis of this snapshot was to show consumption or simply which audience receives reports from these specific teams? Nonetheless, the report clearly supports an “always receive…” event tracking observations and not actually any analysis which–looking forward toward 2018 and beyond–would indeed begin to support ROI challenges to this still very nascent area of data analysis.

      Another interpretation of the result set here, tech–which began its second life in 2000 by implementing a re-invented use for the Internet ( based upon data analytics etc.–are still very much the only group set interested in structured and unstructured data. These other groups are not. There is significant opportunities here; however, they are likely not going to be found by clergy preaching from the pulpit to a closed off group of converts.


Leave a Reply

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.