Natural language generation (NLG), the process of generating text or narratives based on a set of data values, can reach a broader audience. NLG narratives can be used for a variety of purposes, but in this perspective I focus on how NLG can be used to enhance business intelligence (BI) processes. In the case of BI, NLG can be used to explain what has happened and why it is happening, and even what actions to take. The NLG narratives can be understood by a broader range of business users than the tables and charts of data that are the typical output of most BI applications or analytics tools.
Business intelligence software is supposed to help businesses access and analyze data and communicate analytics and metrics. I have witnessed improvements to BI software over the years, from mobile and collaboration to interactive discovery and visualization, and our Value Index for Business Intelligence finds a mature set of technology vendors and products. But even as these products mature in capabilities, the majority lack features that would make them easy to use. Our recent research on next-generation business intelligence found that usability is the most important evaluation criteria for BI technology, outpacing functionality (49%) and even manageability (47%). The pathetic state of dashboards and the stupidity of KPI illustrate some of the obvious ways the software needs to improve for businesses to gain the most value from it. We need smarter business intelligence, and that means not just more advanced sets of capabilities that are designed for the analysts, but software designed for those who need to use BI information.
Topics: Big Data, Sales Performance, Supply Chain Performance, Mobile Technology, Natural Language, Business Technology Innovation, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Discovery