Cisco hat prognostiziert, dass es bis 2020 weltweit über 80 Milliarden vernetzte Geräte geben wird. Solche Geräte werden Unmengen an Daten generieren. Trotz der
sinkenden Technologiekosten, werden die Speicherung und Sicherung von Daten für viele Firmen, die IoT-Systeme betreiben, zunächst ein Investment bedeuten − umso wichtiger, dass der ROI deutlich höher ist. In diesem Vortrag sehen Sie, wie Predictive Applications messbaren Nutzen liefern, ohne unrentable Datensilos zu schaffen. Anhand praktischer Anwendungsszenarien für IoT werden die ROI-Potenziale genau aufgezeigt.
3. Converting device data into a business impact is a
transformational process.
M2M
Machine-to-machine involves
the communication between
machines to improve
productivity and safety.
Connected devices is a pre-
requisite for M2M.
IoT
Internet-of-Things
involves making the
data from connected
devices available in the
cloud for monitoring
and reporting.
Connected THINGS are
a pre-requisite for IoT.
Connected
Services
Connected Service eXperience
involves using the data from
connected devices in real-time to
identify a „Next Best Action“ and
trigger 1:1 interactions between
the sales, customer care, service
and the customer. Connected
evices, internet, and a predictive
analytics platform are pre-
requisite for CSX..
1
2
3
Control Tower Applications
New Value-added
ServicesProduction Automation
6. A combination of use cases yields a greater ROI
Machines
Assets
Shipments
Products
Decrease Energy Costs
Decrease Loss & Theft
Decrease Misuse & Accidents
Improve Efficiency & Productivity
Decrease Assets
Decrease Unplanned Downtime
Decrease Inventory Costs
Decrease Labor Costs
Decrease Cost of Waste
Decrease Costs for Parts & Supplies
Decrease Early Retirement
Decrease Shipping Costs
Extend Machine Life
Improve Productivity
Decrease Accidents
Decrease Energy Costs
Decrease Mishandling & Loss
Improve On-time Delivery
Grow After-Market Sales
Decrease Misuse & Warranty Costs
Decrease Accidents
Offer Value-Added Services
Improve First-Call Resolution Rate
Decrease Rearly Retirement
Improve Product Development
Reduce Undesired Side Effects
Reduce Accidents
Reduce Trial and Treatment Periods
Improve Efficacy
INTERNALEXTERNAL
People
OPTIMIZETRANFORMATIONAL
7. New Revenue Models for Machine Data
• Mobility Guarantees, Uptime Guarantees & Pre-emptive SLAs.
Instead of a 24-hour response time, the manufacturer will offer to service a product before it
breaks and before the customer repotrs an issue. Example: Mobility Concierge.
• Pay-as-you-Use. Companies will offer pay-for-use, where price or rates reflect actual usage
and behavior. Customers will opt-in to save money. Example: Pay-as-you-Drive.
• New Subscription Services. Companies are developing new subscription services for
customers. Customers will subscribe to services in order to get tips to save fuel, improve
performance, lower operating costs, and prevent accidents. Example: Car Net.
• Factory-as-a-Service or Product-as-a-Service. Products will be free. The
company will replace the one-time sale of a product with a recurring revenue model or
subscription. Example: Grocery Services.
• Data Remarketing. Products will be free. The data generated by the product will be
packaged and sold to third-parties. This revenue will more than offset the cost of the product,
because it is recurring, and the marginal cost of the data is almost zero. Example: Smart Lights.