This document discusses engaging consumers and brands in a data collection and sharing program. Key points: - Consumers can scan product tags with their phone to access a website and register, providing some personal data. They are offered a mobile app to report product information and receive offers. - Brands can use the collected consumer data and feedback to tailor offers, improve products, and share information with other enterprise functions. Stripped of privacy details, the consumer data can be analyzed and resold. - An ecosystem is created where consumer and enterprise data can be collected, linked together, and monetized through a data exchange platform. Real-time triggers notify partners of changes in linked data for marketing, risk

1. Engaging Consumers
• Each product of a brand we service has a readable tag on the label that connects to a
website upon the consumer “reading” the tag with their phone. The consumer can also
go to the website from their desktop.
• The consumer “registers” (could be just their email) on the site and is presented with a
few questions directly related to the purchased product and is offered a free mobile
downloadable app linked to the product and the brand to report risk related data, receive
special offers, and get updated information about the product etc.
• We offer the consumer a free extension of a downloadable app to automate the capture,
encryption and packaging of any data he enters into any form using the internet – he gets
to control the data he wants to trade for merchandise or sell to us as a data federator, or
for us to broker on his behalf through our data trading exchange.
• We extend an offer to buy or trade or broker the consumer’s packaged data according to
his profile’s fit with our brands, or to re-purpose the data for collaborating brands or data
federators or for public benefit.
• Automatic data uploads from personal data sellers can also be collected from devices
with RFID tags participating in the “internet of things.” Owners can also voluntarily
offer IP addresses to include their devices.
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2. Engaging Brand
Managers
• The brand manager has an easy interface to adjust questions to capture
relevant data and build real time triggers to generate alternate offers tailored to
each consumer and each product.
• The brand manager can build additional real time triggers to forward to others
in the enterprise such as design, production, quality control, and risk
management functions regarding positive and negative feedback.
• The brand manager, upon receipt of consumer personal files from purchasers
of his product – these “stripped” of privacy related data - can apply analytic
engines to determine demographic and other variables related to purchasing
patterns for his product and brand.
• The uploaded purchased personal data files from consumers are linked to the
data exchange and re-purposed for trade or resale to other data federators or
aggregators.
• The brand manager can transmit offers or services or updates to devices
associated with a personal data seller.
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3. Engaging Enterprise
Leadership
• Existing enterprise data can be stripped of proprietary or private information,
and the remainder re-purposed and monetized or applied to social benefit.
• The enterprise can participate in a data trading exchange/consortium and
datasets from both enterprises and consumers can be included and searched for
relevant subsets of data. Permanent links can be established to enable real time
updating of linked data upon changes in the originating dataset. Huge
potential for real time marketing and risk management.
• New contributions or updates can be included according to roles and
agreement by participants in the data supply chain – and monetized - or
applied to social benefit.
• A change in any particular data point or combination of data can be used to
trigger a notification to a person or role in the originating organization or to
others included into the data supply – including consumers – in real time –
availability of limited quantities of products or tickets for example or a risk
threshold being reached for an adverse reaction to a medication.
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Executive
Consumer Data
Collection and Upload
App
Consumer
Transactions
Website
Consumer Registrations
Product Research
Cloud Service Data
Exchange
Consumer Data
Brand Data
Broker or
Aggregator
Product
Consumer
DevicesConsumer
DevicesConsumer
DevicesConsumer
DevicesConsumer
Devices
App
Down
load
Other Datasets
Trigger
Builder For
Real Time
Streamed
Notifications
By Changes
In Data
Enterprise Data
RFID Tag
QR Code

5. Our Competitive
Advantage
• Our IP protects and monetizes data transactions (like Visa for purchases). (Clean and
protected monetization, and complete respect for copyright and IP of data creators)
• The architecture reduces the need for a participant in the data supply chain to reconfigure
or transform their data before they port it to us. (Ease of participation and data posting)
• Risk management is enabled by every role and participant in the data supply chain
appropriate to their needs – and we do it in real time. (Real time triggering and
notification – Our “trigger builder” is a simple calculator)
• Accountability and control is rational and traceable through notification vetting,
notification distribution, and notification acknowledgement.
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The data is not the product. The service is the product and it is universal and vanilla.

6. IP to Monetize
Transactions
• $ - enabling connections between dataset owners and buyers resulting from internet
searches
• $ - use of encrypted keys to upload data from data owners and data traders to the data
exchange
• $ - use of the SaaS site to build triggers for notifications
• $ - per notification triggered by changes in connected datasets
• $ - linking mobile devices to automatically upload data into the data supply chain
• $ - posting captured and packaged personal datasets for sale
• $ - brokering datasets posted for sale
• $ - enrolling consumers to a data contribution/research process for a brand or product
• $ - connecting research forms and surveys in the data supply chain to vetting and
acknowledgement chains or circles
• $ - linking RFID and other product tags to the data supply chain
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7. The Data Supply
Chain
Data – not by the database – but by the data item – streamed in real
time
•Connect and contribute existing data items from his own devices – on up to datasets – and
databases
•Automate uploads of data items from his owned “internet of things” such as sensors and RFID
tags.
•Automate collection and uploading of participation in social network activities, purchases,
GPS, and so forth.
•Create data item collection formats to collect data
•Search the “dataweb” and extend an offer for data items or datasets relevant to your interests or
needs
•Easily configured unique triggers for you to be notified of changes in linked data items
•Optional vetting and acknowledgement chains to assure data quality and accountability.
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