Big Data Analytics explore new opportunities and takes your business to new height.


Big Data collects and efficiently managed continous stream of data which is arriving at an alarming velocity, volume and variety. The big data diiferent than older database technology as it offer cloud hosting, highly indexed and optimized data structures have been designed to provide more accurate analyses that enable businesses to make better decisions. Convergence of cloud, mobility, IoT and big data enabled digital transformation of business and can transform their vision of being industry4.0 Big data has following benefits:

  • Ability to store and process huge volume of data efficiently. As large volume of data – both structured and unstructured increasing from social media exchange and digital process create challenges for business.
  • Big Data is Relevant Big data can be analyzed for insights that lead to better decisions and strategic business moves.
  • Cost Effective Big data designed to economically extract value from very large volumes of a wide variety of data.
  • Data Computation power Hadoop's distributed processing systems(HDFS) processes big data very fast.
  • Fault Tolerance Big data uses technology like Hadoop for fault tolerance. By which system functions properly even after a node in the cluster fails.
  • Scalability: Hadoop provides high reliability and scalability features.
  • DATA REPLICATION HDFS uses an intelligent replica placement model for reliability and performance.

Big Data creating business value

Big data will fundamentally change the way businesses compete and operate. Big Data is useful not just for its scale but also for its real-time and high-frequency nature that enables real-time testing of business strategies. While creating new growth opportunities for existing companies, it is also creating entirely new categories of companies that capture and analyse industry data about products and services, buyers and suppliers, consumer preferences and intent.

Industry specific Solution:

Banking and Financial Institutions: Financial services firms are no longer simply storing data as required. They're actively using it in order to generate business insights and add value.

E-Commerce Industry: Big Data plays an important role in tracking the entire journey of a customer, from entry to exit. An average online shopper may not realise that every click is being monitored and that all purchases being made are captured from beginning to end.

Healthcare: Big data enhances customer experience by real time alerting and drive down the labour cost.

Telecommunication: Telecom operators can use advanced analytics on customer and network data to generate a real-time view of customer preferences and network efficiency.Acquiring a deeper understanding of users and improving their experience at every touchpoint through high performance services, fast feedback and customized offerings

Retail: Big Data analytics is now being applied at every step of the retail process - right from predicting the popular products to identifying the customers who are likely to be interested in these products and what to sell them next.