Method and system to facilitate decentralized money services software as a service

A method comprising:

• first, collecting data from one or a plurality of money services business servers (physical, online or both) based on input search parameters;
• to collect the market exchange rates data from remote market exchange rate platform based on input search parameters;
• second, determining, using a processor, total amount received per dollar index value of each money services business based on input search parameters and said collected money services business data;
• to store in storages data comprising:
• said collected money services business data, said collected market exchange rates data, said total amount received per dollar index value data;
• displaying one or more of:
• said collected money services business data, said collected market exchange rates data, said total amount received per dollar index value data.

A method for using a computer processor means for managing data collected from one or a plurality of money services business servers, market exchange rates data platform based on input search parameters, by processing said collected data, by storing the said collected data on a non-transitory computer readable storage medium;

• determining, using said computer processor means, total amount received per dollar index value data based on input search parameters and said collected data;
• storing said total amount received per dollar index value data on a non-transitory computer readable storage medium;
• retrieving from storage medium said collected data, said total amount received per dollar index value data;
• displaying one or more of:
• said collected data, said total amount received per dollar index value data.

An analytics computing system for processing data comprising one or more of:

• money services businesses data, total amount received per dollar index value data, market exchange rates data as data set;
• the analytics computing system comprising:
• a communication network communicatively coupled with data storages, wherein the communication network is configured to receive, from said data storages, a dataset, said dataset comprising one or more of:
• said money services business data collected from one or a plurality of money services business servers, total amount received per dollar index value data, market exchange rates data, wherein the data set is sent to said analytics computing platform via a messaging system that employs a distributed, high throughput, replicated, fault-tolerant and scalable system running on commodity cluster hardware over a communication network, wherein the analytics computing system employs a scalable production machine learning algorithm to analyze said data set vis-à-vis a matrix of features to predict money services business data price movements, wherein the said analytics computing platform employs a big data processing framework to stream the data comprising one or more of:
• said dataset, said predicted money services business data price movements for display.