Between now and 2020, the sheer volume of digital information will increase to 35 trillion gigabytes much of it coming from new sources including blogs, social media, Internet searches, and sensor networks. The exponential growth in data is here to stay. But how are you combining new and existing data sources to make better decisions about your business? How could new data sources including social, sensors, location and video help improve your business performance? Will your Big Data remain dormant or will you make it work for you? What is your Big Data Strategy?

Iconix Labs helps organizations device a well thought out strategy and program across multiple domains to achieve optimisation of data driven decisions. Simply put, we can help you maximize revenue and increase efficiency by analyzing you large volumes of data.

Our Big Data Services include:

• Hadoop solutions designed by Hadoop certified consultants
• Big Data Analytics
• Data Science
• Big Data strategy consulting

Hadoop
Hadoop changes the economics and the dynamics of large scale computing. Being an open source technology, it is scalable, cost effective and flexible.
Hadoop Ecosystem Technologies:

• Cloudera
• Hadapt
• Hortonworks
• HBase
• Hive

We also offer HaaS (Hadoop as a Service) that does away with the operational challenges of running Hadoop to make medium and large scale data processing accessible, easy, fast and inexpensive.

Data Scientists
In an era of digitisation of information and global data accessibility, it has become critical to make judgments objectively on the basis of statistical data and the ability to resolve issues logically. This involves the participation from broader areas of mathematics, statistics and computer science. Data Science provides greater insights in detail where the complexity of the world around, is measured and mapped in digital bits.

Our data scientists work with your data to provide you critical, informative, predictive and decision enabling solutions. They are subject matter experts in drafting a simple and executable plan which would allow any business manager to work out how internal data combined with social media, front line tools, existing infrastructure, and people can be brought together to create business value.
Our approach in Data Science

• Understand the domain
• Analyze data
• Eliminate the unwanted
• Identify variables to generate signals
• Build & validate models
• Help in preparing a system
• Provide guidance through a system

Our team of Data scientists is a combination of machine learning experts, business analysts, visualisers & data engineers. We use open source tools like Hadoop, Data analytics platforms and Cloudera for getting greater insights into the data. We provide Data Science solutions that are cost-effective, scalable, flexible and more important fault tolerant even with increase in data complexity.