Not just for visualising insights, seeing how the business stands, getting automatic alerts from Enterprise Business Intelligence.

It is an essential data capture tool for those very same enterprise and BI applications. 

  1. Insurance claims- adding photo/video evidence to validate claims
  2. Onsite inspections of fixtures, fitting, major structures
  3. Reporting damages, leaks in social housing
  4. Traffic Wardens ( Civil Enforcement Officers with photo/video of vehicle parking
  5. Snagging lists in construction

The list goes on; the benefit is that not only is the data input to corporate/public sector applications adding rich metadata for analysis. It also, being time and date stamped gives an audit trail of progress.

The insurance company can compare time, location and image with details on the claims form making it easier to speed up bona fide claims and filter out potential fraud. Is it the same building, vehicle as on the claim form?

And it can view real-time data on the state of any and all claims; are they within the internal SLAs? Is the backlog building or reducing?

In item 2; for major bridges, there are instances of being only two/three experts globally able to inspect them. Better to flag local engineers, combine the photos and video from mobile devices and stream these in real-time. The expert can decide if it needs a drone or video mast to inspect in more detail. Finally is it necessary or not to travel from Japan to UK?

IoT and sensors may indicate, through analytics alerts that inspection is necessary, Then the video streaming adds more insight. A clear case of phones, tablets and more sophisticated surveillance equipment being a part of data visualisation and data input.

The Project Management Office in Construction, Civil Engineering and Asset Management needs BI tools that are bi-directional with write-back. Then it is easier to make and execute better decisions. 

Make sure your analytics and BI vendor can deliver that on a secure and scalable platform and your taking the right step to higher productivity.

Then ask if you can embed analytics in the work-flows and processes ( key tasks and activities) of your enterprise applications.  Sometimes called In-Process Analytics or Infused Analytics. Then you are even better able to achieve productivity, effectiveness, quality and customer satisfaction improvements