Static reporting shows everyone the same data for a specific and non-adjustable period. They can’t be changed, without generating a new report – or configuring a new dashboard view. Each user, however, may want to see the information in a different way, or different information altogether. C-Levels and Business Intelligence Managers want to see organization-wide performance just as engineering managers are focused on their teams’ performance. Team leaders want to see how their individual contributors are doing.
Dynamic reporting accomplishes that, streaming or refreshing everyone’s most important metrics so that they’re conveniently available at a glance. Plus, while not a van Gogh, they’re easier on the eye than 1,048,576 rows of an Excel spreadsheet. But, is the data on your dashboard actionable enough? Even if it isn’t, dynamic dashboards provide users the ability to dig into the data to gain deeper insights into what’s going on.
If one hour of analysis can generate a 1000% ROI, how can we further improve the cycle time of the insights generated by our analysis?
Digital Assistants. Dashboards are evolving or perhaps virtually reincarnating as digital assistants. Better than dashboards competing with AI, the two are naturally capable of converging just like the computer converged with telephony and television.
Ray Kurzweil, a director of engineering for Google, cofounder of Singularity, and author of several books including the Spiritual Age of Machines, predicts computers will achieve human-level intelligence by 2029. Most of his predictions have been accurate.
We’re still a few years away, but already AI and machine learning algorithms are much better at pattern recognition than we are. Some smart chatbots can converse on a level that’s nearly indistinguishable from chatting with a human. Functionally, digital assistants are already at a point where you can practically click for insights.