Commercial Web Data Extraction Services: Fueling Enterprise Growth
While the Internet is an ocean of information, businesses need to access this data the smart way for their success in today’s world of cut-throat competition. However, the data on the web may not be open for all. Most sites do not provide an option of saving the data that’s displayed. This is precisely where […]
Read MoreHow Big Data Can Help the Commercial Real Estate Space
Data analytics and Big Data have become the buzzwords in the service industries. When it comes to the real estate space, Big Data is transforming trends big time. Consumer behaviour determines market forces in the real estate sector to a great extent. From identifying consumer choices to building robust consumer relationships, big data analytics play […]
Read MoreMeta Search Engines & Online Travel Agencies: An Evolving Relationship
The Evolution of Meta Search Engine The key value proposition put forward by OTAs was the convenience of comparing prices across different hotels, flight companies and other travel related service providers at one place. While travelers were already enjoying the service, next came the meta search engines to make the travel search experience even better. […]
Read MoreFashion Trends Analysis And Forecasting Using Web Crawling
The Fashion Trends Analysis is perhaps one of those sectors where intuition gets the better of logic or analytics. With ever-changing consumer preferences, fashion innovations, and distinctive style statements affecting the industry big time, fashion specialists and designers are striving hard to hit the right spots. Brand consciousness has taken a magnanimous shape and form. […]
Read MoreTop 10 Machine Learning Frameworks
When delving into the world of machine learning (ML), choosing one framework from many alternatives can be an intimidating task. You might already be familiar with the names, but it’s useful to evaluate the options during the decision-making process. There are different frameworks, libraries, applications, toolkits, and datasets in the machine learning world that can […]
Read MoreWhat are the Main Challenges of Being a Travel Startup?
Travel Startup Challenges The travel industry made the much-needed transition from physical offices to websites where travellers from all over the world can book flight tickets, hotel rooms, buses, and cabs from the comfort zone of their homes. There are about 67,000 travel companies valued at US$20 billion in the USA alone, and this number […]
Read MoreTop 10 Influential Women who made their Mark in the Tech-world
The gender bias is a serious issue that has prevented women from achieving their true potential for a long time. Luckily, things are changing now for the good. Millennial women find themselves in a transformed workplace with fair opportunities and equal rights. Although the gender bias still exists and there’s still long way to go, […]
Read MoreHow is 2017 looking for OTAs?
The online travel industry has had a rapid growth in the last few years. With every industry shifting their focus to the online space, Online Travel Agencies (OTAs) were bound to grow. Booking bus, train and flight tickets to hotel and resort bookings, online travel agencies now dominate the travel industry. OTAs are expected to […]
Read More10 Products that Use Data to Deliver Value to the Users
Products and applications today are powered by Artificial Intelligence, Augmented Reality and most importantly they use data to produce the best results for the user. Massive amount of data is created on the internet every single day and the numbers are growing rapidly. Right from an electric cars to a browser extension, all the products […]
Read MoreWhy the Music Industry Should Harvest Web Data to Repeat Successes
The digital landscape has brought about improved operational performance and better business decision making. With the growth of advanced data analytics and superior methods to harvest web data, it is not surprising for music labels and individual artists to turn to big data analytics to gain insights on their own performance as well as the […]
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