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Analyzing Vero Moda Fashion Product Data
The fashion industry is rapidly evolving and increasingly relying on data to better align itself with consumer preferences, analyze competitors, and improve product strategy. Many boutique agencies are already working on fashion data analysis to cater to the growing demand for data-driven decision making by fashion brands and marketplaces. This post presents the visualizations created […]
Read MoreThe Definitive Guide to Data Labeling for Machine Learning
Data for most machine learning projects are collected through multiple sources such as data scraping, getting people to fill survey forms, etc. Usually, a high percentage of this data is unlabelled or mislabelled. By unlabelled data, here we are referring to data which has not been tagged with labels specifying their characteristics, classification or properties. […]
Read MoreIntroducing PromptPoints: Get Rewarded for Acquiring Web Data
Get Rewarded for Web Data Extraction Extracting web data pays for itself and anyone who’s ever gathered the goldmine of information that’s scattered around the web for augmenting their big data strategy needs no further explanation for this statement. Our growing client base is one of the best indicators for the increasing popularity of web […]
Read MoreData Trends in Fashion Industry
Data Trends in the fashion industry plays a vital role and is used to drive decisions and strategy that generate sales, gain a better understanding of customers, and boost overall profit. Fashion designers and companies use data on a daily basis run a successful fashion business. However, the commonly perceived data used by fashion designers […]
Read MorePortia Alternatives for Web Data Extraction
Portia was a visual tool that allowed users to crawl websites without having any programming knowledge. It was a hosted service but due to dwindling usage of visual scrapers, it has been taken down and is no longer in use today. So how did people use Portia when it was in existence? To use Portia, […]
Read MoreScraping Doctors and Physicians Data from Appointment Booking Websites
Scraping doctors data : Health is wealth, and in the twenty-first century, with rising pollution levels and the emergence of new lifestyle-related health diseases, people are turning to the internet in hordes to find doctors near them. That fuels the need of Scraping Doctors and Physicians Data from the Appointment Booking Websites. Other reasons behind […]
Read MoreWhat is Web Data Integration and Why is it Important? – PromptCloud
Web data integration simply refers to the process of aggregating and channeling data from different web sources into a single workflow (usually your business workflow), and if you are running a business that needs data, in today’s world web data is your best bet. The reason is that from 15.41 billion devices in 2015, today […]
Read MoreUnharvested Data: The Data that you Left on the Table in 2018 – PromptCloud
Web Scraping has been the talk of the tech world for quite some time. More and more companies are trying to crawl data from the web using intelligent bots to speed up the process. There has also been a growth of DaaS (Data as a Service) providers like PromptCloud, who are offering their services to […]
Read MoreWhat is Web Scraping?
Web Scraping is known by many other names, depending on how a company likes to call it, Screen Scraping, Web Data Extraction, Web Harvesting and more, is a technique employed to extract large amounts of data from websites. Scraping is the process where the data is extracted from various websites and repositories and are saved […]
Read MoreMachine Learning and Web Scraping | PromptCloud’s Guide
In case you have been reading the news lately, you might have gone bonkers over the latest inventions in machine learning, such as the intelligent smartphones in the market as well as the self-driving cars, that are about to hit the streets any year now and keep the roads accident free; let me tell you […]
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