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What We Learned About the Current State of Data and Analytics

Interana Marketing

We recently polled business professionals with a stake in data and analytics at their organizations to see how things are going. And we learned a few things.

 

They mostly think they’re satisfied with current tools and processes…  CurrentTools

The biggest group of respondents, 39%, say they are satisfied or very satisfied with the current tools and process they use to analyze business data. One-third are neutral, and only a little over one-quarter (28%) report they are unsatisfied or very unsatisfied with the status quo. 

 

 

DataCompromises

…But they’re making compromises.

Right around 40% of all respondents are frustrated by pre-defined queries, lack of iterative discovery, and the need to involve technical resources. And half say it just takes too long.  

 

 

When we break out the groups by their level of satisfaction, we see, unsurprisingly, that a much largerInsightCompromises proportion of the unsatisfied folks are making undesirable compromises. But even 42% of those who report being satisfied or very satisfied say it takes longer then they’d like.

Getting to answers just takes too long.

But how long does it, in fact, take to build new queries or access new data? Overall, two-thirds of TypicalProcessLengthrespondents (63%) have to wait hours or days. That number is slightly higher (71%) when we look at just the respondents who actually listed “It takes longer than I’d like” as a compromise they’re making. And more than half of respondents (54%) who don’t think it takes too long have to wait hours or days.

 

How long is too long may be in the eye of the beholder, but clearly, very few people are getting answers at ask time.

 

What the data tells us.

In short, there’s room for improvement. Things are taking longer than they should. They’re limited by current processes and systems. This is true even for those who say they’re satisfied with current systems and processes. This confirms our notion that our ability to extract meaningful insights from big data hasn’t evolved as much as it should have in the 20 years since the term “big data” was coined. In fact, we wrote a white paper on that very subject.

And it’s why we developed Interana in the first place.

Want to see how Interana can improve your ability to discover and analyze your behavioral data to solve your most pressing customer, product, and system challenges?

Read the full research paper or request a demo today.

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