Quadrant Solving Issues for Data Consumers

in #blockchain6 years ago

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Quadrant is the name of the blockchain network of a blueprint used for mapping the decentralized data. It has been designed for the service of both centralized and decentralized users. It is the architecture that consists of core Quadrant blockchain with the clients like data producers, consumers, and anchors as well as the guardian nodes. The system operates on a proof of authority consensus mechanism for handling the transactions operate through lower gas price will achieve faster transactions for restrictions of malicious nodes.

It will make an entry to the network through an external proof of Work used as an anchor for the security purposes. The Quadrant system will be using Ethereum cryptocurrency for anchoring the replacement of public chain in the future. The organization may face some issues regarding the data economy and the entities may produce the plague through the consumers, vendors, and entities that will produce the data.

Data Capability

Quadrant will require the data for the assurances of legitimacy by the authority of algorithms using the current data economy in fraught problems. As a result, a wider gap may arise among the collected resources. These resources can be stored for inaccessible data for fragmentation in uncertain accuracy. This can construct a reduced consequence for the algorithms being a part of the data lacks in authenticity. This will contribute in the suitable enticement for the fair returns in allocation by the continuation of data producers and vendors. It will ask for a healthy and transparent data economy for an increased requirement so that the data remains authentic.

Data Consumers

The organizations are embracing the data analytics, data science, machine learning and Artificial Intelligence in a sophisticated way which are been used greater than ever before. The system either will be used by own in-house capacity or might be looking by specializing the data. In either case, the organizations are more likely going through the data adoption cycle similar to the Garter Hype Cycle. This will include;

  • Data Trigger which determines the place of data
  • The peak of Inflated Expectation gives flexibility of payment
  • A trough of Disillusionment might take the required data
  • The slope of Enlightenment improves the data that can make wonders
  • Plateau of Productivity that involves the data from multiple sources at an affordable price

Stages

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The companies may find themselves in multiple stages at once depending on the current state of individual market segments. It might not be perfectly linear in progression as it is more likely the mobile location intelligence data segments. This can be seen in the participants who stay at the current stage of 3 or 4. The broader data economy of many companies is just the beginning of learning about the challenges through the existing and current data source finding themselves in the transitioning stage 2 to stage 3. Stage 3 is the critical part where the company can make or break the total solution. This may be unable to obtain for the authentic data as this will be chasing the dream forever to solve the real problems. The companies will reach towards the stage 5 into the provenance becoming the highest priority as needed through the assurance of paying the authentic data in support of the businesses.

The blueprint of Quadrant is flexible enough for the data economy and it has similarities to space as it is unmapped and chaotic. The service of Quadrant makes the blueprint providing the organized system by the utilization of decentralized data.

Website : https://www.quadrantprotocol.com/
Whitepaper : https://www.quadrantprotocol.com/whitepaper.pdf
Ann Thread : https://bitcointalk.org/index.php?topic=3676988.0
Telegram : https://t.me/quadrantprotocol

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