Datahut Blog

Since the concept of large data centers became popular in the late 20th century, computing algorithms, computer infrastructure and hardware have also seen a major uplift and development. Data has been used to improve consumer experience and operational efficiency at workplaces across various industries for a long time now. That has led to the growth of use of analytics and data sciences for various business problems across the board. In the last few years, most companies hav

Banks are the touch points that drive our business. Over the past years, the banking industry has grown by leaps and bounds in terms of their operations, delivery systems and services. However, the banking industry is at yet another point where it’s about to change its scope forever. Due to rise in big data technologies and the huge volume of data collected and analyzed , experts believe that harnessing insights from big data in banking will propel the banking industry into t

When the age of industrialization kicked in a couple of centuries ago, peoples lives were disrupted by the speed and efficiency machines brought in. Automation was a concept that then saw more skepticism than trust. Once the phase of digitization was coupled with the industrial revolution, there has been a surge of innovation, cutting-edge technologies and automation techniques being used across industries. The retail industry has evolved over time and has been subjected to i

Change is the only constant. We have repeatedly heard this phrase and it’s never been truer until now. With the pace at which the technology is transforming the world, companies either adapt or simply fail to make it work. Technology is one of the most significant external force driving the market today. Today, we see lawmakers leveraging newer technology for various policies , encouraging organizations to be transparent in their way of processing consumer data. The market

The thing about data that we all know is that it is growing at a rate that no human, organization or machine can process individually. However, what a lot of us tend to forget is that while high quality or expensive data does not guarantee successful strategies, bad data does ensure failure at the operational level. Having that said, industries across the globe are developing algorithms to break this data down into actionable insights. Finance has seen a growing application o

The amount of data that is generated today in an hour is astounding. It can be a valuable asset for those who know how to leverage this data; for others, not so much. But the real question is how do you use big data to achieve the results you have been hoping for? A lot of companies have now started investing in big data technologies due to the competitive edge that it provides. But simply investing money in platforms and tools won’t solve the problem.  And only those organi