Enterprises rely on various business intelligence platforms and tools to find answers hiding within their data. Within the dashboard visualization ecosystem, platforms like Tableau, MicroStrategy, TIBCO Spotfire, and others have revolutionized how we visually represent and analyze data. Nevertheless, enterprises still frequently run into hurdles along the way in trying to make their data understandable and most importantly, actionable for their employees.In providing our natural language generation (NLG) solutions to some of the largest enterprises and partners in the world, we’ve found that companies come to us with similar issues. The datasets may change, but the problems remain the same.To help, we put together a list of the 5 signs that indicate your BI dashboards need NLG.
1. Information gap
In order to make the toughest business decisions, executives and other leaders within your company need data-driven insights. However, far too often, decision makers need these insights at a moment’s notice and don’t have time to digest an entire dashboard to find answers. If you have a team of analysts or data experts continually writing manual reports or calling people on the phone to walk them through key findings of a dashboard, then you should explore natural language generation and its ability to make data easily accessible and understandable.
2. Irrelevant insights
Sometimes making sense of a complex visualization and discovering what you need to do about it can be difficult. Also, relying on solutions and chart explainers that spit out generic insights (e.g. max, min, avg) from your data just doesn’t cut it at the end of the day. What good are insights if they don’t speak directly to you and tell you what course of action to take? If you have team members from different departments, positions, and expertise all seeking answers from a single dashboard at any given time, then you should explore natural language generation and its ability to deploy role-based, personalized reporting.
3. Misinterpretation of data
No matter if you visualize your data with basic pie charts and bar graphs or intricate, multi-colored sankey diagrams and scatter plots-data can be challenging to interpret without context, especially if you have to share your dashboards externally. Misinterpretation of data can lead to inefficiency and poor decision-making. For example, if you are hesitant in sharing your dashboard or embedded analytics with external partners, customers, and anyone unfamiliar with your data, then you should explore natural language generation and its ability to reduce data interpretation time by 90%.
4. Manual grind of data experts
Your top analysts and data experts should be expanding analysis to other areas of your company, constructing projections for future business with predictive analytics, and creating more dashboards for external clients that produce more revenue. Instead, your top data talent is wasting their time manually writing reports and conducting explanatory follow-up calls on data analysis they’ve already completed. If this manual approach is creating a significant amount of inefficient work for your data teams, then you should explore natural language generation and its ability to provide an automated analyst that explains your dashboards in real time.
5. Dashboard paralysis
Not everyone dives headfirst into the deep end of a dashboard. Oftentimes, people can be so intimidated by visualizations that they don’t even log into dashboards and use them as a resource. The true value of your BI dashboard investment and whether or not you’ll achieve company-wide adoption lays in the hands of these reluctant dashboard users. If you want to drive further and deeper use of your BI dashboard platforms, then you should explore natural language generation and its ability to increase dashboard engagement across your entire organization.
We believe that natural language generation (NLG) can make sense of the world’s data in a way no other technology can. According to Gartner’s Augmented Analytics Is the Future of Data and Analytics report, “By 2020, natural-language generation and artificial intelligence will be a standard feature of 90% of modern BI platforms.”1
By integrating NLG with dashboard visualizations, not only will you solve these common problems, but you’ll also transform your BI dashboard platforms into key decision-making tools for all users within your organization.
1. Gartner, Augmented Analytics Is the Future of Data and Analytics, Rita L. Sallam, Cindi Howson, Carlie J. Idoine, 27 July 2017