Solution

Solution - NOVA DATA

NOVA Solution

First, securing and accumulating big data

Securing data is very important for using big data.

Through a technology chain that leads to IOT-AI-IOT, we secure and accumulate various big data through a comple mentary system. Through blockchain-based DID (Decentralized Identity), decentralized identity authentication, we can overcome the data access limitations restricted by the existing personal information protection law, and can pioneer a new area of the data economy.

Verification is possible without going through a centralized institution. If you use DID in various ways in a situation where authentication is required, it is possible to secure a large amount of data and obtain accurate and detailed personal information through participation and compensation mechanisms.

Second, classification of big data

Data classification is carried out by dividing the roles of data engineers and analysts based on the data analysis goal statement. Variable candidates are searched from the data required for analysis, and finally the classification product is derived. By performing a series of processes of planning and verifying by classifying data experiment methods and procedures, we can approach the targeted data classification.

Third, tightly combining cryptocurrency and token economy with the survey ecosystem

Token economy is a monetary economy mechanism based on game theory and behavioral economics. In other words, the quality of the survey can be improved by designing a token reward plan for the contribution to the expected activities to respond to the survey and establishing a detailed behavior reinforcement plan through token compensati on at an appropriate level for each type of reaction behavior in each section.

Fourth, creating a collaborative environment through big data sharing of large companies

We extract meaningful information from open data on the Internet through various data mining techniques such as social media, search extraction, and keyword analysis. When necessary, we secure data close to the target topic through collaboration with big data service companies.