The Halo Effect
Order 4th 3rd 2nd 1st
Purpose |
Single use case for data access and analysis implemented by the IoT provider |
Multiple IoT provider use cases , derivative values from 4th order |
Use cases beyond just the IoT provider |
Community created use cases and analytical models of the data |
Ecosystem of Data Availability |
Within IoT provider |
Within IoT provider and limited partners |
IoT provider is integrated with ecosystem partners for shared data access and integration |
Everyone is able to consume & integrate the data |
Figure 2 : Fresnel Lens Order Applied to IoT
4th Order – Tracking and analyzing feature usage and failures . Enables the provider better visibility into client satisfaction and proactive efforts to increase adoption .
3rd Order – Evaluating channel watching patterns to better engage with clients purchasing marketing and providers of content .
2nd Order – Selling or exchanging usage data with external parties that aggregate the information with other marketing mediums .
1st Order - Allowing availability and exchange of data in public markets , enabling the free flow of data , access and integration between unrelated parties . This use case will produce large quantities of information about consumer behaviors that can be made available to product companies looking to better tune their products and features for a changing market .
Agriculture Technology – Field & Farm Operations Data
As the agriculture market expands to meet the needs of the world ’ s growing population , connectivity and data are key to enabling growers and providers to make better decisions and increase crop yield .
4th – Enabling farmers to simulate their fields with real world satellite imagery and weather data , paired with specific cultural practices .
3rd – Enabling a single farmer to access his or her own data and compare that data to nearby farmers and fields .
2nd – The ability for growers , retailers and suppliers to seamlessly communicate by accessing data sets that span the organization and modeling crop yields based on this integrated information .
1st – Enabling commodities and stock markets access to data , so real-time changes can be seen in buying patterns , mid-season applications and anticipated yields .
WINTER 2017 | THE DOPPLER | 53