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Advanced Analytics

What is Advanced Analytics?

In this cut-throat competitive era, we are facing challenges at every step of the transformation. Though technological advancement is not a big challenge for the organizations whose business is IT-enabled, to remain ahead of the competitors, a touch of the analytics-based solution is required. Going by the theoretical definition, Advanced Analytics is a way of predicting future trends, business projections, monitoring events and analyzing behaviors so that the businesses get the competitive edge.

The advanced analytics deploys tools and techniques over large and raw data sets. These data provide actionable insights for better decision and predictions. We provide an analytical solution that runs on the data lake. Our area of offerings ranges from big data processing using Apache Spark & Hadoop to data warehousing. Our expertise in tools like AWS Athena, AWS EMR, AWS Redshift, AWS Elasticsearch Service, AWS Kinesis, and AWS QuickSight helps trigger the analytical solution in most optimum manner

Why Advanced Analytics

Benefits Post Adoption- Advanced Data Analytics

Better management & maintenance of business assets is ensured

Integration of the existing system with analyzed data sources incorporates comprehensive view of the business

The enablement of remote monitoring by process automation can help improve business results by analyzing untapped data


As per IDC, the business value of companies that are leaders in data & analytics will elevate by $1.6 Trillion as compared to companies that are not

Gartner’s Predictions

  • By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.
  • By 2019, 50% of analytics queries will be generated using search, natural-language query or voice, or will be autogenerated.
  • By 2020, 20% of companies will dedicate workers to monitor and guide neural networks.
  • By 2020, 80% of organizations will initiate deliberate competency development in the field of information literacy, acknowledging their extreme deficiency.