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Big Data Analytics

Advanced analytics against extensive, diverse data sets to make
your data beautiful and meaningful

Big Data Analytics


Data is not just about finding answers, it’s where the ideas originate.
Every large organization faces the big challenge of accessing huge amounts of data and efficiently putting them into use for business productivity. Data is stored in multiple systems and silos that make it difficult for the organizations to access that data and enhance their daily operations and important decisions. Analysis of this voluminous data by leveraging the power of the cloud can turn it into actionable insights.
Progressive solves this challenge by exploring, mining, visualizing, and analyzing your big data (both inside and outside). Using advanced analytic techniques against extensive, diverse data sets, we turn the data into new insights and help you improve your business processes along with decision making.
Our big data analytics capabilities help you empower everyone in your organization with better and deeper insights to make data-driven decisions.

Our Approach
  • Leverage customer data based on preferences, wish lists, purchase patterns, feedback, inquiries etc. to generate actionable customer insights in real-time.
  • Significant storage and maintenance cost reduction while ensuring a seamless customer experience across products, services, network channels, and lifecycle.
  • Better and faster decision making.
  • Increase business value and profitability by enhanced customer targeting through cross/up selling.
  • Launch successful loyalty agendas or programs.
Inspire Curiosity

Inspire everyone in your organization to embrace their curiosity, dig deeper and keep asking questions.

Make Data Beautiful & Meaningful

Visualizations help in telling a complete story with data. Get easy-to-read reports and beautiful dashboards that allow users to drill down and keep exploring.

Democratize Data & Analytics

When the whole company has reliable, trustworthy answers – and analysts are no longer a bottleneck – everyone can answer their own questions and make more informed, data-driven decisions.

  • Big Data Analytics
  • Enterprise Data Warehousing
  • Business Intelligence
  • Predictive Analytics
  • Real-time Streaming Analytics