We live in a truly futuristic time – We have virtual personal assistants who answer to our voiceself-driving carsnext-day delivery, and stats for everything under the sun. Let’s face it: 2021 is the future. If technology is such a commonplace in our lives, why do we still struggle to tame it?   

Data-driven businesses have flocked to Business Intelligence tools like Tableau, MicroStrategy, TIBCO Spotfire, and others in an effort to maximize profits and minimize costs through in-depth data analysis. The only problem is, many of these organizations invest in tools that never get used (or, at least not to the level they expected). If this sounds familiar, it might be time to add Natural Language Generation to your dashboards.   

If your organization suffers from one or more of these 3 signs, it might just be time to consider adding NLG to your dashboard.  


Your organization’s data-driven goals are somewhere between
“data who?” and “data what now?”

For executives, managers, and members of leadership to make the right decisions, they must all be aligned on data goals and expectations. Unfortunately, it’s common to see data visualizations and BI dashboards misread, misunderstood, or misinterpreted. One person’s 50% complete is another’s 50% left-to-do.   

  Woman staring at her laptop screen chewing on a pencil looking stressed

“What am I even looking at?” – Her, probably.  

Despite what you might think, company data visualization leave a lot of room for interpretation. When making a crucial business decision, you don’t want to gamble with data that could steer you the wrong direction. This is a perfect example of how NLG can turn your numerical data points into 
easy-to-understand, actionable insights.   



You spend more time with your dashboard than you do with your family.

We know that decision-makers have a lot on their plate, and as a result don’t have the time to do an in-depth analysis of your data dashboard. They want to know what they need to know, and they want to know it fast. It’s one of the side-effects of our on-demand culture  

Father and son (8-9) sitting at table

Hopefully this isn’t you (but if it is, we can help!)  

There isn’t enough time in the day to meet every request for reports, so when do you get it done? Do you pull sales numbers while you’re on the phone with a customer? How about generating delivery SLA reports while at the dinner table? Are you on your phone analyzing utilization rates during your son’s softball game? If you find yourself pulling the same reports over and over, or generating reports that you could easily automate, it might be time to consider NLG.  


You spend all your time giving a man a fish because he refuses to learn to fish.

We get it, not everyone is a fisherman. Everyone has their own speciality, and maybe Deb from Sales and John from Customer Service don’t like to look at charts and graphs all day, but that doesn’t mean that they cannot be empowered to use BI like a master. If you’re finding that you are spending time creating reports by hand, explaining detail points, or trying to illustrate the importance of a finding, it might be time to consider NLG.  


  Man sleeping on the beach while fishing

If your data strategy has you pulling reports like this, you might not need NLG.
(Of course, if your data strategy was like this, you wouldn’t be reading this article!)

Automated Insights’ NLG platform, Wordsmith, for instance, offers role-based reporting. What this means is that the written report generated by our automated system is tailored to the reader and what matters most to them. Everyone might need access to all the data, but each department will have its own goals and interests. NLG can help you by delivering the relevant data to the right user. 


If one or more of these sounds like a position you are in, you have come to the right place! Set up a free demo with a member of our team to learn more about our easy-to-use and powerful NLG platform Wordsmith today! 



Not sure if NLG is right for you? Check out our other resources to learn more about how we help businesses like Allstate, Yahoo, Orlando Magic, and more turn their data woes into data wins.