The volume of data that one has to deal has exploded to unimaginable levels in the past decade, and at the same time, the price of data storage has systematically reduced. Private companies and research institutions capture terabytes of data about their users’ interactions, business, social media, and also sensors from devices such as mobile phones and automobiles. The challenge of this era is to make sense of this sea of data. This is where big data analytics comes into picture..
Big Data Analytics largely involves collecting data from different sources, munge it in a way that it becomes available to be consumed by analysts and finally deliver data products useful to the organization business.
The process of converting large amounts of unstructured raw data, retrieved from different sources to a data product useful for organizations forms the core of Big Data Analytics.
The most pressing challenges:Organizations looking to leverage data as a key business enabler typically face one or more of the following challenges:
| Accelerators and frameworks to jumpstart your Big Data journey and reduce time to market
| End-to-end Big Data and Analytics offerings, including consulting, admin, testing and monitoring
| Unique data ingestion framework and analytics platform
| Big Data and analytics Center of Excellence with a point of view on contemporary technologies
| Domain-centric solutions with the most relevant use cases and a clear path to business value delivery
| State-of-the-art Big Data Labs for quick proof of value
Minimum 10% Reduction in Losses due to Fraudulent Claims
Increased ROI for Marketing Campaigns and Promotions
40%+ Cost Reduction in Managing Structured and Unstructured Data