As I write this blog post, the entire Anaconda team (myself included) are recovering from an eye-opening, inspiring and downright incredible experience at our very first AnacondaCON event this past week. The JW Marriott Austin was brimming with hundreds of people looking to immerse and learn more about Open Data Science in the enterprise. Being at the conference and chatting with customers, prospects, community members, others with inquiring minds with an interest in the Open Data Science movement further validated that data science has emerged more prominently in the enterprise—but not as quickly as we’d like. And not as quickly as enterprise leaders should like - and now is an ideal time to look carefully at priorities.
As we’re catching our breath from the whirlwind that was AnacondaCON, we’re excited to reveal the findings of a study we have been working on for many months, providing answers to some of the questions we saw surface at the event: How are enterprises responding to the undiscovered value and advances in data science? How can they use data science to its full advantage? We asked company decision leaders (200, to be exact) and data scientists (500+) to help us understand the current beliefs and attitudes on data science.
Some highlights include:
While 96 percent of company execs say data science is critical to the success of their business and 73 percent rank it as a top three most valuable technologies, 22 percent aren’t making full use of the data available to them
A whooping 94% of enterprises are using open source for Data Science but only 50% are using the results in the frontlines of their business.
Only 31 percent of execs are using data science daily, and less than half have implemented data science teams
These hesitations to adopt are ultimately due to companies being satisfied with the status quo (38 percent), struggling to calculate ROI (27 percent) and budgetary restrictions (24 percent)
So, what’s missing?
Collaboration. Our survey revealed that 69 percent of respondents associate “Open Data Science” with collaboration. No longer just a one-person job, teams are clearly what’s needed in order to capitalize on the volume of data—data science is a team sport. As we saw at both AnacondaCON and within our survey results, collaboration helps enterprises harness their data faster and extract more value to ultimately give people superpowers to change the world.
Download our full eBook Winning at Data Science: How Teamwork Leads to Victory and read our press release to learn more.
*This study was conducted by research firm Vanson Bourne, surveying 200 company executives and 500 data scientists at U.S. organizations.