In today's technology-driven landscape, the banking sector is experiencing a paradigm shift with the integration of big data analytics.

The introduction of Goods and Services Tax (GST) brought about a transformative change in taxation systems across various economies.

Combining big data and blockchain is valuable for supply chain, financial services, healthcare and insurtech organizations by providing them better data storage, integrity, accessibility and security.

Developing the Intelligent Fulcrum

Over the last decade, through deployment of different kinds of sensors, regulators, and controller devices, there are data collection points all over an agricultural field.

E-Commerce, as an industry, received a jump start because of the progress made by big data engines in providing critical and focused analytics to retailers.

Previously, we spoke about the role of Big Data in Healthcare, and the response to the article has been nothing but phenomenal. This time, we have decided to tackle a whole section of the work environment that really links up with Big Data, giving shape to the Big Data Industry as well as truly utilizing what Big Data has to offer. In this article, we are going to discuss the impact of Big Data on the Startups and Small-Medium size Enterprises (SMEs).

As the Telecom industry goes through phases of troughs and crests, the one constant that marks the industry is the abundance of the types and volumes of data that it has. While the industry had great expectations of Big Data in the initial years, this vibrancy was followed by a period of doubt. Now, as things look up again, let us see how the trends have evolved over the last six years.

In a previous article, we introduced Big Data, defined what is, its market presence, and its role in creating social good. Continuing along the same lines, we will talk about another field in which Big Data is playing a big role: The Healthcare industry.

Big Data. The keyword of the decade. Yet, it’s barely understood or often confused by so many. The idea behind Big Data is simple. Collect all the data you can (Volume), from multiple sources in any and all formats (Variety), as fast as you can (Velocity), and try to be sure the source provides useful, accurate and clean data (Veracity). The 4 V’s just mentioned, form the basis of Big Data.