DATA BROKER DAO - Relying on People With Powerful Operational Resources
DataBroker DAO is the first market for Sensor IoT data that will connect the sensor owner with the data buyer directly, utilizing the existing infrastructure of telecom connectivity connectivity service provider based on GSM, LoRa, SigFox or through the gate of ownership owner of the sensor.
In a sense, DAO DataBroker can be likened to "secondary market" to IoT sensor data and has been referred to as "eBay" or "Amazon" for IoT sensor data.
There are a number of stakeholders in DAO's DataBroker including censorship owners, gateway operators, data processors and data buyers. The following is definition of each of these stakeholders.
Sensor Sensor owners are stakeholders who have purchased IoT sensors and make the data emitted from their sensors available for sale through the DAO DataBroker platform. These are diverse groups who generally buy sensors to improve the efficiency of their operations. The key role of the Sensor Owner in DAO DataBroker is to sell data from their sensors on the platform.
Buyer Data Data is a stakeholder who will buy data on the platform. These purchases may use raw data for their own purposes or purchase data with the intention of converting / enriching raw data to be resold with added value via DAO DataBroker (see Data Processor below). The use of data purchased by Data Buyers can be very easy, for example, the temperature and rainfall data provided by neighboring office buildings to facilitate more complex local readings, such as buying data to train a person's AI.
Data Processors are Data Buyers who purchase data with the explicit intent to enrich the data and resell it or handle it for their clients. Enrichment can take many forms and Data Processors can be categorized based on the level of insight provided:
- Simple data services are the most common. Data brokers collect data from multiple sources and offer them in the form of collected and conditioned data that would otherwise be fragmented, conflicted and sometimes unreliable.
- Smart data service provides conditioned and calculated data, with
- rules and analytical calculations are applied to gain further insights from the data collected and assist the decision-making process. (
- Artificial Intelligence)
- The adaptive data service applies an analysis of the customer request-specific data that is combined with the data in the context of storage. This is a more advanced form of service.
It is estimated that there are more than 5,000 data processing companies worldwide relying on extensive open data sets published by government agencies and non-governmental organizations (Moore, 2016) in combination with their exclusive data and algorithms to enrich public data.
These range from special boutiques, such as CB Insights, Fico, Intelius, and others
- others to big global consultants like McKinsey, Deloitte, PWC. Expected
that 75 percent of analytics solutions will combine at least ten or more
data sources from second-party partners or third-party providers by 2019.
Expected Data Processor will be the majority of Data Buyers on DAO DataBroker platform.
Data emitted by billions of globally distributed devices across wireless (WSN) wireless sensor networks (WSN) that operate generally (but not exclusively) by major telecommunications companies in each country. This is possible traditional GSM networks, LORA networks or alternatives such as SigFox. The key role of the Gateway Operators in the DAO DataBroker is to expose the gateways they operate so that the sensor owner can sell its data to the platform.
Who has "won" in this story?
Sensor owners (data providers) can directly monetize their data to generate passive income that will convert sinking costs into potential money-makers and at least the opportunity to cover some of their investment in IoT censorship (purchase, installation, maintenance, software licensing to interpret sensor data ). The sensor owner will get 80% of the amount received and pay a small recurring fee to put the sensor on top of the platform.
Data buyers and data processors get data as a service so no need to make upfront investments in hardware to get the data they need. Another advantage for both types of buyers is the DAO DataBroker provides access to data. Which should be stuck in the sensor owner silo data.
Gateway Providers: gain scale and speed in the deployment of their network / device because partners linked to DAO DataBroker can present a win-back to their company account, a clear USP. This gateway operator is a gateway where data flows into DAO, and as such, they are immediately paid for each sale on the platform and will receive 10% of the cost. DAO takes the remaining 10% of all funds, depending on market conditions, received on the platform to cover operating costs.
Who has "lost" in this story?
Sensor manufacturers: Manufacturers will increase sales in the short term due to higher IoT project profitability. However, in the long run, "sharing" the censors can reduce their day-to-day sales. This can be offset by higher replacements due to the higher number of sensors in the field. However, the hardware margin is in a "down race" and is already a slim average. Sensor providers already make the most of their money through software and services. From this perspective, producers can draw resources and capital out of unprofitable hardware making and allocate it to successful SaaS offerings. From our discussions with producers, they are very enthusiastic about this prospect
Who will sell the data?
There are a number of identifiable sales data and sector figures Already investing in censorship from Gartner highlights the primary potential for data sellers for years to come. The diagram below identifies 2 groups (business,
consumers) and the sub-groups that make up each. It is clear the business This group is the main driving force in the spread of sensors globally.
Regardless of initial use on the platform, tokens are based on the MiniMe standard.
MiniMe Token is easily cloned. This means allowing us to create new tokens
with an initial distribution identical to the original token on a particular block to upgrade the token contract, or create a spin token for eg governance.
The token Solidity code is available at https://github.com/DataBrokerDAO
To know the market potential and future value of the token we need to see
deeper in potential markets for IoT data. The market size of the primary market for IoT censorship grew from 600 billion euros by 2015, reaching 900 billion by 2017. The market is projected to reach 1.3 trillion by 2020 and up to 1.6 trillion by 2024.
Token sales will receive a purchase on ET. Token will be sent the week after the sale is complete
Pre-sale begins March 19, 2018 4:00 CET
The presale phase of this token sale event begins on March 19, 2018 at 16:00 CET. During this presale 50% token bonus is valid (6000 DTX / ETH) and
The minimum purchase amount during this period is 10 ETH.
Inaugural sales start March 26, 2018 4:00 CET
The main sales will begin on March 26, 2018 at 16:00 CET.
Sales will run for 4 weeks. The rate for this phase is 4000 DTX per ETH. New on the first day a 10% bonus will be given.
Before and during token sales, the referral system applies. Contributions through a
referral link will generate 5% bonus from tokens sold through referral link. Initoken is part of locked backup and does not increase or
affecting the total number of tokens, or the maximum number of tokens on offer.
Unsold token will be saved by platform In case of significant ETH rate (1000 USD / ETH) changes ahead of sale will cause recalculation according to the same formula used above.
Trading begins April 30, 2018
Evidence will be issued and traded 1 week after the sale ends (April 30, 2018). At this point we are committed to include the DTX token
Chankura.com was then and was identifying one or two more exchanges to put it on, at the time.
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