Ma Foi Analytics, a platform and solution driven insights advisory firm registers itself amongst the 36 advanced analytics providers globally in 2015 by Gartner Research. Ma Foi Analytics is among the few Indian companies who are helping organizations unlock the true value of their information assets and helping to improve service efficiency.
Marking itself in the list; Satyakam Mohanty, CEO of Ma Foi Analytics says “We believe this is recognition of our platform and cloud based solutions approach to democratizing usage of analytics in enterprises as opposed to the traditional services only delivery model.”
He adds “We agree with Gartner that for deeper insight and improved decision making, business leaders are increasingly looking to advance their analytics capabilities by adopting advanced analytics platforms to expand beyond descriptive analytics to predictive and prescriptive analytics. Advanced analytics can help organizations to unlock the true value of their information assets that will directly affect their bottom line by increasing revenue, reducing costs and helping to improve service efficiency and I believe we are well positioned to address these needs.”
- Successful partnerships with advanced analytics external services providers (ESPs) require working with those that create repeatable and robust analytic solution assets — yet these are few and far between
- Not all services firms have strong capabilities across all the required areas (geography, vertical industry, horizontal domains or technologies supported). Global ESPs have the scale to deliver services across regions and domains, although specialists currently dominate this emerging space
- Operational use cases, real-time event streams, sensors and machine data bring advanced analytics to operational situations. These applications, combined with insights from multi-structured data types, will generate the next wave of advanced analytics service investment
- The rapid growth in the amount of available data, particularly new varieties of data (such as multi-structured data from customer interactions and streamed machine-generated data), requires greater levels of sophistication from users and systems.