Datahut Blog

What differentiates a successful business from a mediocre performing business? We say it is their sales and marketing strategy . A properly planned assortment of the inventory items and offers will take you a long way. But there is one factor that can boost your already superb sales output. That factor is timing. It will help if you put web scraping to use at crucial times like holiday flash sales . Managing all these tradeoffs is a must for all retailers, especially dur

This week, we’re talking about travel, and the travel industry in particular, because of many reasons. First of all, we all love to travel. Second, travel company ads have taken over all my screens. Moreover, there has been a massive shift in the way we think of travel and the travel industry at large. This shift is from a position that was mainly considered non-tech or managerial to a strictly technical industry driven by data of all types and from all sources. This article

We all know that social ads and analytics are invaluable in digital marketing. Most of you might be reading this article because of the same reason. This is why we need to create a streamlined process around gathering data, analyzing it and drawing actionable insights from it. Social Media has become a vast reservoir of data of all forms, almost synonymous to Big Data. Since social media is the ongoing buzz, let’s see how we can integrate all three elements: Social Media, Bi

Every industry in the world is moving towards data-driven decision making , then one of the most popular and highest grossing industries definitely has employed analytics and data sciences in its operations. We are talking about the media and entertainment (M&E) industry . If you are associated with the industry in any way and your question is how to use analytics to maximize the potential in this industry across all domains, you are at the right place! The increased technol

Today’s online shoppers don’t only buy products, but they also buy experiences. How quickly does the screen load, how seamless are the payment options; all these and more determine whether you have a loyal customer or not. A market which changes faster than the tides, its best to have your consumer hooked the moment they enter your retail space. And, the best way to do it is through online merchandising . The online consumer is often at a loss. He can’t feel the fabric, can

With its fast-paced growth, big data brought a revolution with itself that is simply inspiring.  Over the year, data analytics, data extraction, and visualization have transformed numerous of industries and sectors across the globe. Right from healthcare and finance to all the way to fashion and retail, there is hardly a sector left untouched by big data. Due to its increasing ubiquity, big data has seen an increase in its popularity and numerous opportunities have populated

Think of a world where you never have to visit a bank, where all the financial services are merely the touch of a button away. The applications of big data in fintech today is advancing at a rapid pace with the financial sector being one of the biggest contenders.  It is now possible to get verifications done through your phone’s fingerprint scanner. There are already algorithms in place which are capable of analyzing your financial history and suggest the best deal for you.

The travel industry is now a part of the bandwagon of the various other industries that use big data analytics in their regular...

A few years back, a huge debate had many the fate of many retail stores hanging by a thread. Many chains were wondering if retails store were a boon or just a liability. And where we are standing currently, the answer is pretty clear. But a more pertinent question now haunts us. ‘What next?’ The answer: Predictive Shopping. The rapid transformation that retail has gone through positions it at a very prime spot. With technologies like AI, machine learning and big data readily

Advancement in technology has opened up incredible opportunities for an organization to improve the efficiency and quality of its products or services. However, with that advancement, expectations of regulatory compliance grow too. The approach to solving regulatory compliance issues is moving from human-led to more technology-driven. There are many types of data like transactional data, market and product reference data, operational, and security data. Different teams have

Data Sciences  is an upcoming sector that has reformed a lot of economic and industrial scenarios. The concept can plug into any industrial sector, enterprise or organization to solve real-world problems using data. Since, the industry is relatively nascent, hiring data scientists is not yet a conventional recruitment procedure. While the position of Java programmers and UI designers demands very specific skill sets and expertise, data sciences is a broad term to test anyone

One can say   Web Data Extraction  is at the heart of today’s businesses.  In the earlier days, people generally assumed that data extraction is just used to scrape information.  But with the recent advancement in technology, data extraction has become an effective method to organize and compile the existing information for the further use. It is especially helpful when it comes to simplifying the existing database to improve productivity and market research.  It has made a h

Machine Learning and data analytics have shown a pronounced effect on various aspects of the commercial world and industries. Enterprises are using innovation in the field of data analytics and machine learning to design better marketing campaigns. It also helps generate pricing and customer-centric recommendations and even plan more effective financial budgets. However, the rapid advancements of technological innovation is coupled with an equally swift evolution of the busin

The Fourth Industrial Revolution is here and it’s all about the digital world. With the exponential growth of data and internet connectivity, brands are rapidly moving towards consumer-first mindset, with digital as its backbone. But how does a brand get to a point where it’s thinking is not only a part of brand philosophy but is also put into action? At Adidas, it starts with digital. One word that encapsulates Adidas’s spirit is performance. Performance on the field, in th

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

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

Just like all the other industries affected by big data , insurance hasn’t been untouched either. The insurance industry is increasingly looking towards insights derived from analysis of big data. Initially, only 9% of the insurers were interested in big data projects, but that number rose up to 25% in 2014. In today’s scenario, almost 40% of insurers consider big data a game changer. To add to this, a 2016 Accenture survey with 561 Chief Security Officers found that 94% of

As the internet expands and the technology advances, there is more and more every day we can do with the information that is generated each day. As big data comes into play, unusual information sources have cropped up, which upon analyzing can give insights into human behavior and consumption patterns. This has been a boost to all the industries like retail , real estate , hospitality, travel etc. But lately, journalists have begun to harness the power of big data analytics