State of Data Insights 2017 - Surveyed 170 analytics end-users on being data-informed

"In March of this year, we put together a survey to understand how people in different roles and at different companies are using data to find insights that are important to them. We collected 170 responses from respondents of various roles and companies — ranging from C-level executives and VPs to individual contributors, early-stage startups to Fortune 500 companies — to understand how they access, use, and analyze data. What really surprised us was that despite having the data, nearly 70% of organizations said they encountered behavioral questions on a weekly to monthly basis that they couldn’t answer using their current tools. And each of those behavioral questions left unanswered could result in a lost opportunity or an unresolved issue. Despite being unable to answer many behavioral questions, the respondents did, however, recognize the value that data has in their organization: 88% of the companies represented indicated they understand the importance of being data-informed, and 91% acknowledge the criticality of having an analytics solution in place. The State of Data Insights Report uncovers many challenges and opportunities that data and analytics play in today’s businesses. Those include: Current analytics solutions aren’t meeting business needs. Analytics is becoming more important to a wider variety of people. Most respondents cannot answer data questions themselves." Read more.

This is a great read and a pretty sad indictment of the state of the BI marketplace. Great work by interana. Here's to data democratisation!

Thanks for hunting, @nikkielizdemere. Hey everyone! I'm the writer and creator of this survey report. As a content writer in the analytics space, I know there's a TON of content out there about why data is important to business and product decision-making -- so why do so many companies still struggle to make data-informed decisions? What our survey shows is that there's still a huge gap between knowing that data is important and *actually* finding useful insights from it. In this report, we discuss a few reasons as to why that gap exists and how we can go about making data insights easier to discover.