Big Data-Based Business Intelligence System

(1) Innovative Technology

Skyscent has implemented an easy-to-use user interface. Users can easily and quickly access the platform and experience all the content it offers. Furthermore, the platform is designed to allow users to experience the virtual asset economy even without specialized knowledge or experience in blockchain. This ease of use and user experience is made possible by applying big data-based business intelligence, providing real-time data on users' coins, assets, NFT transactions, and other platform-related data. Skyscent is being updated as a blockchain gaming platform, designed to provide an experience of Web3.0.

(2) Analysis System based on Big Data

Skyscent utilizes a big data-based analysis system to analyze data in areas that directly or indirectly impact the platform's key performance indicators (KPIs), thereby building the most efficient platform system. By collecting and analyzing metrics related to user activities and behavior, the system predicts user demand and organizes the necessary data for improving the user experience (UX). As more games are onboarded to Skyscent, user participation and communication between users become more active, resulting in a vast amount of accumulated data. As a result, the quantity of data provided on the platform and the speed of Skyscent's system updates will steadily accelerate.

(3) Web Crawling System

Skyscent possesses independently developed web crawling system, which is a solution for collecting data (text) from specific websites. This solution periodically visits the target sites, stores the data, and automatically compares and analyzes the latest data with existing data, listing them accordingly. The web data collection system is a program that retrieves and stores information from specific web pages in real-time. Skyscent has developed algorithms internally through its cumulative statistical analysis system and data pattern analysis system to analyze the collected data and identify patterns in past data based on the latest data. They have developed a Poisson algorithm for modeling the frequency of specific transactions occurring within a specific timeframe and a regression analysis modeling system.

By leveraging the intersection of these core technologies, Skyscent was able to develop an algorithm with an average 80% accuracy in predicting future outcomes and is preparing to launch an app service incorporating this algorithm. They are also researching Monte Carlo algorithm-based predictive models, which have been applied to Google's AlphaGo, aiming to contribute to more efficient and intuitive data management, statistics, and platform expansion. Skyscent can effectively control the substructure systems and utility areas using these data analysis and prediction technologies.

Furthermore, the features and testing of DApps for collaboration with projects align well with Skyscent's data analysis structure. Additionally, Skyscent provides technical support for the expansion of governance based on the blockchain ecosystem, such as marketing build-up structures, social media campaigns, and community events, to enhance community engagement. These systems have broad applications and are commonly used in various fields such as search engines, business intelligence, online marketing, and financial analysis. They will play a key role as one of the core technologies in Skyscent's ecosystem expansion and metaverse implementation.

Skyscent is committed to following legal and ethical responsibilities and continues to engage in ongoing follow-up with their legal team to ensure compliance.