Source: edtimes.in
Madrid, Spain – According to Statista, the global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. Millions of transactions are executed, resulting in a colossal amount of valuable data being produced. Financial institutions are using data analytics software to gain insights into stock market movements and make impactful business decisions. Meanwhile, professional traders are utilizing advanced data analytics to make better investment decisions that produce predictable gains.
GRSTAR aims to disrupt the wealth management industry with their proprietary STAR System (Software for Tracking, Analysis and Risk Assessment) to broaden their users’ investment portfolio. GRSTAR’s predictive analytics model is able to precisely predict future outcomes with a 95-98% accuracy in the fields of Finance, Blockchain, Gaming, Real Estate and Emerging Technologies.
“For STAR to achieve such a remarkable accuracy level, we need to collect a large amount of data directly from the end user. The data needs to cover all aspects of information from social preferences, personal health, thinking logic, consumption habits, investment patterns and more,” highlighted GRSTAR CEO Tom Morrison.
“We utilize the data generated by various platforms open to the public and solve the “last mile” problem by facilitating our individual data collection ecosystem, GRS Data Exchange, that rewards our users for their data when they offer them to us,” added Morrison.
