US Childrenswear Brand Analysis
Research on childrenswear brands, with industry trends, product and pricing analysis by clothing type and gender
Alternative Data – The best kept secret on Wall Street
Alternative Data is hiding in plain sight Access to extremely valuable data for the Financial industry Data drives the world and stock markets around the world make billions of trades and trade trillions of dollars based on data. The financial industry has been at the forefront of using technology and data to propel the industry […]
Drawing Insights from Historical E-Commerce Data
ScrapeHero gathers data from millions of E-commerce pages every month to understand brands, categories, compare prices, tally product numbers and analyzing their features and consumer responses. Here are few insights you do not want to miss.
Big Data and the future of Real Estate Industry
The concept of using data to revolutionize business progress is being used largely across almost all industries, and Real Estate industry is no exception. Massive amount of historical data is sitting in paper files, digitized microfilm or scanned PDFs all over the world. As of now, historical data is all over the place with projects […]
Alternative Data – The Investor’s Trump Card
In the past, investment or market research would have meant sending people to stores to ask for any indications of sales numbers or handing out questionnaires to strangers about their preferences. As times and technology have changed, the industry too has changed and improved – significantly. Data is now more of a strategy than a component. It […]
Toys ”R” Us to StumbleUpon – Casualties of Changing Times
Toys “R” Us, a company that invokes fond memories in multiple generations recently closed its doors for good. Generations of kids grew up with the iconic Toys “R” Us stores and have vivid memories of ecstasy when their parents bought a toy they wanted or feelings of “the world has ended” if their parents felt […]
Unicorn jobs – Who’s hiring – Analysis of US jobs by unicorn startups
We looked into the available job openings of unicorns across cities in the U.S. The unicorns with the highest number of jobs available: Uber, AbbVie, and WeWork compose of nearly half (49%) of the total jobs available. From the 37 unicorns taken for analysis, only 12 (32%) of them have more than a hundred available job […]
How can Web Scraping help Analysts in Venture Capital Firms
An analyst in a typical VC firm spends most of their time trying to find deals for their firm by scanning through a pile of blogs, news websites, start-up listings, and portals manually for identifying new opportunities, researching about those startups and then emailing or calling them. This research would seem impressive in the early […]
Sports Data – The Rise of Big Data and Analytics
The global sports market is huge with its total revenue projected to be around 90 billion dollars in 2017. Sports is one of the sectors in which data analytics has demonstrated great value and has a great potential with major professional sports teams putting them to use. It is exciting to see how analytics is […]
RFP for evaluating Web Scraping Services
A web scraping provider is an essential vendor or provider to most organizations, especially the highly data-driven organizations. The early wave of outsourcing led to a significant body of knowledge on how to evaluate outsourcing providers or vendors. Google has about 1500 pages related to these two common phrases. However, there is barely any information on how […]
How Local Governments can use Web Scraping
The internet is a wonderful thing and so is globalization. But when a new upstart wins big on the global scene it can cause problems in some unexpected places – small towns and cities. Companies such as Airbnb and Uber have revolutionized some industries making vast profits for themselves and even the consumer. Airbnb allows […]
Dear fake users – who does Google think you are?
Summary Google Analytics is rife with Fake or Ghost referrers, this post takes a look at how Google itself classifies these users by Age, Sex, Interests etc Anyone with a website that uses Google Analytics must have noticed quite a bit of traffic coming from “Referrals”. Some of the sites, whose names keep changing every […]