Data Science - Knowledge Boundaries
DSaaS – How It works?
Data science as a service (DSaaS) is a form of outsourcing that involves the delivery of information gleaned from advanced analytics applications run by data scientists at an outside company to corporate clients for their business use. A DSaaS provider collects data from clients, prepares it for analysis, runs analytical algorithms against the refined data and returns the findings generated by the algorithms to the customers.
Data science as a service is a potential way for organizations to cope with a shortage of data scientists and other skilled data analysts. Businesses increasingly are looking to predictive modeling, data mining and other forms of analytics to provide business insights they can profit from. But as the awareness of the benefits of advanced analytics grows, the number of trained data scientists isn't keeping pace, leaving many enterprises unable to find enough to lead all the analytics projects their business operations need. In addition, the scarcity of data scientists has driven up the cost of hiring for the position. DSaaS gives organizations access to analytics resources for specific data science applications without requiring them to hire or train their own analysts.
What We Do
Our Data Science consulting and business analytics solutions leverage the power of predictive analytics to derive real-time insights and reduce customer churn. We help our clients solve the toughest data challenges, predict demand for products and services to improve customer satisfaction and guide business strategies based on knowledge and foresight.Our Data Science service enables organizations to:
We help our clients reduce revenue leakages and boost bottom line productivity using advanced data science solutions.Our team of experts enables you to find innovative ways to strategize and optimize operations while exploring new market opportunities.
Enterprise Operations Analytics
Understand your enterprise data at a glance to identify hidden opportunities,enable better decision making, and increase efficiency across all departments.