As world is turning into tech-savvy, the data is increasing day-by-day, here deep learning is playing an important role by giving prognostic analytics solution in big data with the help of increased processing power and advanced graphics processors. Big Data can be generally referred as to data that exceeds the typical storage, processing, and computing capacity of conventional databases and data analysis techniques. As a resource, Big Data entails tools and methods which can be applied to analyze and extract patterns from huge -scale data.

The growth of Big Data has been caused by increased data storage competences, increased computational processing power, and availability of increased volume of data, that gives organization more data than they have computing resources and technologies to process. With presence of various different challenges for more straight data analysis approaches, Big Data Analytics offers an important opportunity to develop novel algorithms and models to report specific issues related to Big Data.

How does Big Data help you in business?

• It can improvise top-line in your business with unprecedented personalization.
  – You can obtain new customers, retain and up-sell your existing customers with the help of customer support services.
• It can improvise bottom- line in your business with unprecedented efficiency at scale.
  -With this one can easily keep track of SKUs and suppliers can restock them whenever there is prediction of shortage.
• Improvise governance with unparalleled monitoring at huge scale.
  – With use of various CCTV cameras, the government can utilize Big Data to monitor all video streams, and even use patterns and matching algorithms for identifying certain thing with some data parameters.

Here are some Big Data Startups which are altering the course of Digital data.

Fractal Analytics – Both the founders Srikanth Velamakanni and Pranay Agrawal met at Indian Institute of Management (IIM Ahmedabad). They both realized with help of their skills they can make huge impact in business i.e. consumers, vendors, partners and employees and later in 2000 Fractal Analytics was born.  In the year 2005, they set up a small enterprise in New York then in San Francisco which is their headquarters as of now. As of today Fractal Analytics is  providing service to clients from various global cities from their various office locations which includes Greater New York area, London, Mumbai , New Delhi, Singapore and Dubai.

PromptCloud – It is based in Bangalore and it deals with providing Big Data solutions in which their job is data extraction and web crawling. The company utilizes cloud computing (of course as the name suggest) to valid their Data. They work with clients of various sectors that involves travel, finance, health-care, marketing, analytics, and much more. The company was founded by alumnus of various institutes like Indian Institute of Technology, Carnegie Mellon alumni that includes Prashant Kumar.

Corporate360 – The Company provides SaaS based Marketing Data & Analytics for B2B companies. It is headquartered in Singapore and also has offices in US, UK and Philippines and India too. The company was founded Varun, who came from small village in Kerala and was national footballer. He also captained Kerala University as well as Youth Football team. He was college dropout but have worked with big MNCs such as SAP, Oracle and Dell before beginning his journey of Corporate 360.

Sigmoid – It was founded by three IIT Alumni who are Lokesh Anand, Mayur Rustagi & Rahul Kumar Singh in the year 2013 and its office is headquartered in Sunnyvale, California. The company specializes in Big Data Analytics and builds solutions aiming on Scale, Speed as well as Intelligence. It converts real-time data into real-time insights with the help of its two platforms named as SigView & SamVeda. It offers its services to various industries sectors such as Retail, Advertising Technologies, Manufacturing, telecommunications etc.

The potential of Big Data is noteworthy, fully attaining this potential requires new ways of thinking and novel algorithms to address many technical tasks.

For example, most traditional machine learning algorithms were designed for data that would be completely loaded into memory. With the entrance of Big Data age, however, this supposition does not hold any value more.

What are your thoughts about these Big Data Analytics and how useful it is  for enterprises and business? Do share your thoughts in our comment section below.

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