Unethical Data Retrieval in Quadrant

Fake Data

There is a universal truth that says, “Where the money to be made, people must try to game with the system” and it is true for the data economy as well. Not everyone in this world is honest and such sort of system can be affected by the dishonest activities related to fakeness or unauthenticated. It is easier for some people to fabricate the data to make it fake, copy and misrepresent. It will be difficult for the data consumers that will vet the data properly while purchasing from the third parties.

Purchase of Data

The Data Consumers may wish to follow the applicable laws and regulations as they never want to make it be unethical for the business practices. For unethical practices, there will be much at stake to be found engaged. The business perspective will need to make payment for the authentic data from the perspective of the regulatory authority as this require the knowledge of relevant data source.

In addition to this point, Data Vendors might not be scrupulous always as long as they are making money they might not be thinking about anything else. As a result, the Data Consumers will not be getting the authentic data to the system that depends on it. If the data fails to be real, then the input data will be equals to the poor result of the output. In this certain case, data will be driven towards the business decisions, algorithm trading, Machine Learning application or Artificial Intelligence and the smart contracts based on Oracles. For the false data, the consequence can be even grave than this.

Unsustainable Ecosystem

It is important to know for the users that the data which are free can never be sustainable. The entity can continually produce such data over the long haul for not being compensated fairly for it either direct or indirect manner, whichever is correct. The data regarding the matter can be exchanged in terms of monetary compensation and this will not require any sharing to the proper revenue, individuals and businesses for not being able to keep the doors open and continue providing the data if not compensated fairly.

It might be critical to keep the data stream as diverse and genuine as things will be maintained properly through the IoT sensors. It is related to the data streams so that the smaller Data Consumers never suffer because of losing access from the data streams. This may not have ready access to alternatives. This is also requiring for the sustainable ecosystem for the producers that can incentivize by providing genuine data and buyers whoever is willing to pay for it.

The trust and the authenticity of the Quadrant data consumers can have a positive effect on the purchase of Nurseries or data producers. The creation of constellations or incentive also opens a transparent ecosystem ensuring the companies getting authentic data as needed.