Intelligence is ever-evolving and it evolves with changing scenarios and interaction of entities in a business enterprise. Development of Analytics as a Service platforms is the necessity for the next generation systems to be able to harness the power of Data Analytics. We have been providing power-packed teams as competency units for enterprise customers majorly using AWS and Azure infrastructure. The analytics service components we develop are quite varied and can be implemented using different base technologies. With a well-defined scope using specific data analysis techniques, we use Machine and Deep Learning techniques, for supervised and unsupervised enterprise automation.
We have set up competency centers for Enterprise ISV customers who provide data analytics-as-a-service platform for their end-customers in over 16 industries. We have integrated more than 220 curated data sources, developing more than 0.3 million industry knowledge concepts for these platforms that work as the third brain for end-point customer systems, which we customize, seamlessly integrating the analytics platform.
It is a common and a very useful feature for any travel and hospitality product to provide best recommended stays for users, to be able to make a choice faster and conclude their purchase process, considering their budgets, mood, nature of place, etc.
Sensing technology gets more effective in practical use when the data it generates is analyzed in real-time to perform responsible actions efficiently. We implement smart property and smart home solutions using analytics as a service for supervised and unsupervised property automation.
Retail commerce works on the basis of intelligence that is drawn from the insights, drawn from customer behavior, online or otherwise. We use analytics as a service to process the data we draw from online app usage or in-store automation for retailers to take informed decisions.
Agriculture by and large depends on weather forecasting and being accurate with it has been a challenge. We use analytics as a service to predict weather, to make use of smart devices and sensors and to perform actions to compensate shortfalls or otherwise.
We work for marketing product ISV companies developing solutions powered by analytics as a service that allows marketers to understand campaign impacts from data captured from channels and performing social listening and sentiment analysis.
It is often a case when users are looking for content other than what they have subscribed for their research purposes. This is a sales opportunity for enterprise publishers providing content. We integrate analytics as a service to capture the intent analytics for in-app promotions.
We have developed cloud driven solutions for trading and investment firms globally that work on real-time data feeds. Analytics as a Service works as a critical success factor for these systems to provide asset performance in real-time for profitable transactions.
The business of media works on viewer engagement on digital channels. We work for product ISV companies developing Analytics as a Service platforms that allow endpoint media companies to get different facets of viewer analytics for program scheduling and business advertising.