Big Data

The amount of data we produce every day is truly mind-boggling. There are 3 quintillion bytes of data created each day at our current pace, but that pace is only accelerating with the growth of the Internet of Things. Over the last two years alone 90 percent of the data in the world was generated. This is worth re-reading! While it’s almost impossible to wrap your mind around these numbers, I gathered together some of my favorite stats to help illustrate some of the ways we create these colossal amounts of data every single day.

In today’s digital economy and data-driven world, businesses are seeking greater access to data flexibility to drive originations. Moreover, leaders are differentiated by their capability to use data to create value. We use the right procedures and tools to gather any type of data and cut the time-to-insights for decision-makers, clienteles, providers, and teams.

A number of big data technologies systems generate data that are distinct, independent of one another and stored in different formats. The overcoming volume, variety, and velocity of enterprise data render them complex and difficult to be analyzed.

Technologies we are expertize on Big data

  • Hadoop
  • Big data programming languages
  • NoSQL databases
  • Data lakes
  • Advanced analytics
  • Stream analytics
  • Edge computing

For businesses to make the most of available data, it is essential to harmonize, engineer, cleanse, and manage them effectively with the most cutting-edge technology. Knowing this, we engineer data sets to exploit big data opportunities to unravel niche insights. We harness most current big data tools and technologies to transform data and cut the time-to-insights for decisions makers, customers, and employees.

Quality of service protection to preserve data quality and complianceThe real value of big data can be unlocked only when insights obtained from data sets are put into daily practice across departments and industries. Businesses can use data to offer their customers a highly personalized product or service recommendations so that users have to spend less time trying to figure out what to buy. Big data can also help businesses improve productivity by automating mundane tasks, resolving probable issues, optimizing business processes, mitigating risks and detecting fraud. See how data can add value to your business.


  • 360-degree view of customers to understand customer behaviour
  • Measure brand sentiment to understand the popularity of a product and for targeted promotions
  • Improve product placement and store layout for in-store personalization and shopping habits
  • Improve e-commerce website performance with social media activity and purchase history


  • Efficient supply chain management with data providing greater transparency to carriers, suppliers, and customers
  • Improve demand-supply visibility – Real-time Predictive Analytics for demand-supply visibility and automated demand-supply balancing
  • Improve profitability – Automation of warehouses and supply chain
  • Supply route optimization with data from sensors on delivery vehicles, weather data, and road maintenance data.


  • Build a product marketplace that resonates with consumers’ tastes
  • Sourcing and procurement analytics to empower buyers with the best combination of goods, vendors, and services
  • Demand forecasting to meet consumer needs based on point of sales and consumption data

Life Science

  • Prediction of treatment outcomes by correlating phenotypic, genotypic, EMR, clinical and other types of data
  • For fraud detection and checking legitimacy in claim handling
  • Ensure the wellness of patients by monitoring vital signs
  • Improve public health by analysing disease patterns and tracking disease outbreaks

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The moment; and yet I feel that I never was a greater artist than now. When, while the lovely valley teems with vapour around me, and the meridian sun strikes the upper surface of the impenetrable foliage.


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