About us

Collect. Analyze. Visualize.

DataIntel™ aims to harness the power of data and bring new dimensions to the businesses around the world.Every minute we send over 200 million emails, click almost 2 million likes on Facebook, send almost 300K tweets and up-load 200K photos to Facebook as well as 100hours of video to YouTube.

aboutIn addition, think of all the web searches conducted (about 3.5 billion a day for Google alone), all the sensor data gathered, all the credit card transactions, all the mobile phone location data, etc. such gigantic ocean of data residing around the world with insights that yet to be fathomed at its full depths. DataIntel™’s objective is to churn this data, achieve finesse & bring out insights for the businesses and people.

The competitive edge demonstrated by organizations embracing data-driven decision making, big data and analytics has become a top agenda item for a growing number of Business Executives.

Financial services firms, telecommunications companies, healthcare providers, and others have the opportunity to unlock the value of big data to accelerate innovation, increase revenue, reduce operating costs, and improve compliance.

Managers in many organizations believe they have what it takes to harness the power of big data for improving data-driven decision making; yet many are missing the competency or maturity to address the technology, staffing, process, and data requirements involved. Indeed, changing the behavior of customers, employees, or connected devices by providing them with useful information at the moment they are making a decision or taking an action requires a complex orchestration of real-time data ingestion, continuously tuned algorithms, and high-performance application transactions — all of which challenge traditional data architectures.

Operational intelligence

With a focus on real-time operations, this use case addresses the high-velocity attribute of BDA with streaming data technology and event processing to enable decisions “on the fly.”

Exploration and discovery

Exploratory analytics looks to discover signals and nonobvious relationships or patterns among broader data sets to uncover new insights that can positively impact decision making and organizational performance.

Performance management

With a focus on real-time operations, this use case addresses the high-velocity attribute of BDA with streaming data technology and event processing to enable decisions “on the fly.”

Structure the Most Crucial Component Of Your Business Insight!

Our Work Process

DataIntel™ targets such challenges with structured approach
  • Planning

    Plan to Determine which problems can be solved with data and Analyses the data sets to be considered.

  • Architecture Design

    Initiate architectures for your data solution to solve those problems with help of a proper construction of Information flow.

  • Model Analysis

    Initiate architectures for your data solution to solve those problems with help of a proper construction of Information flow.

  • Deployment

    Understand how Hadoop, Apache Hive, Apache Pig, Apache Crunch and Cascading, Apache Oozie, Hue, Apache Solr , Apache Kafka, and Monitoring Hadoop Clusters fit into the big data ecosystem.