Drone economics are classically disruptive. Already drones can accomplish tasks in some hours that take people days. They can provide deeply detailed visual data for a tiny fraction of the cost of acquiring the same data by other means. They’re becoming crucial in workplace safety, removing people from precarious processes such as cell-tower inspection. And they offer, literally, a new view into business: Their low-overhead perspective is bringing new insights and capabilities to fields and factories alike. The drone economy is real, and you need a strategy for exploiting it. Here’s how to think about what’s happening — and what’s going to happen. 1) Capturing reality for the cost of a nice lunch 2) Rising from the ground to fill the missing middle 3) Autonomous, small and countless 4) The rise of cloud robotics 5) Cool is not enough. Drones as ubiquitous as sprinklers: We’ve come a long way from weapons, sci-fi movies, and headlines. But in the prosaic applications of advanced technologies lie their real impact. Read more at: https://hbr.org/cover-story/2017/05/drones-go-to-work

Dashboard has changed drastically since its beginning and lots of vendors are catering toward big data etc. nowadays. Now the focus has shifted from Excel to Big Data. But it is going to coexist for a long time. A good BI Ecosystem should allow for an easy assemblage of such small sized datasets, whether it be excel/csv or any other text file into a central repository. Visualization will continue to improve and no longer be a differentiating factor among vendors. Users will be able to perform advanced visualization by simple drag and drop operations. Dashboards will continue to be used for monitoring real time events as well as publish scorecards and performance metrics. The line between a dashboard page and any other internal web page will fade. Read more at: http://www.datavizualization.com/blog/what-is-the-future-of-data-visualization-and-dashboard-solutions

In today's world where manufacturing has turned into a truly global industry spanning over multiple time zones with multiple languages and cultures, language can prove to be a stumbling block for communication and hence success. The expression “a picture is worth a thousand words” has never had more practical meaning than today. Visuals can actually help us understand complex problems faster than just texts or numbers.
Let us look at what goes in the making of a great visual:
• Easy to Setup: In a learn environment where stress is imposed on minimizing waste it is of prime importance that the time and resources needed to setup, a visual is minimized.
• Easy to See: Even before we get down to the task of analyzing the graphs what must be kept in mind is that the graphs should be visible. And by visibility we also broadly mean that the visuals should be placed at strategically at the “right place”.
• Easy to Maintain: Information posted via a visual must be constantly updated and it would be more cost efficient if every consequent update does not render the previous version as unusable.
• Easy to Use: The visuals should be designed in such a way that everyone is able to use the information displayed- so that no special training is needed to read the information shown.
• Easy to Understand: Visual symbols can work great for communication only if the information displayed is readily usable for analysis. If further processing of data has to be done before they can be used, it greatly diminishes its functionality.

For more information visit:
http://www.apriso.com/blog/2015/07/the-5-es-great-lean-visuals-have-in-common/