whether one is a manufacturer or OEM provider. Information can also be derived from these
devices and have a lot more knowledge.
It can be ensured that the machines are stocked adequately and the goods are stored properly
from the data collected from the devices. It can also help identify relevant device trends and
use patterns, and then set up rule-based alerts to replenish stock. SAP Connected Goods also
includes built-in integration with SAP Business Objects Cloud, which enables the creation
of customized dashboards for analytics.
For example, take industrial coffee machines which are put in offices or stores. The type of
coffee consumed can be measured and it can be known for what kind of coffee people
consume from every machine, and then correlate that with location data. Now onwards, it
can be figured out if there are patterns, like if people in rural areas consume different than
urban areas or in different states. This allows spending the marketing money better in
areas where one can know what they drink. There is no need to spend on fancy milk
drinks if they, by and large,drink black coffee.
Data Living on the Verge
SAP Dynamic Edge Processing is designed in a way to help deal with the data flowing
into organizations from billions of IoT connected devices and sensors. This enormous
and growing volume of data can overwhelm the bandwidth needed to send the data to
core processing centers. So the goal of SAP Dynamic Edge Processing is to process
more data at the verge of enterprise network. This can reduce transmission costs and
at the same time, conserving the real-time acumen derived from the data.
A lot of the customers start small, with maybe a few hundred or thousand devices.
But, eventually, it becomes a big data problem and then there is a need to filter data
at the edge. This means not to transmit the data, save transmission costs and storage
| JULY 2017
33