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How Web Scraping can help in Marketing Analytics

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Abhisek Roy

Introduction Marketers use various strategies to gather knowledge and analyze marketing tactics to understand the performance and subsequent success or failure of their ventures. Market analytics allow more efficiency and negate wastes of both time and money. Market Analytics guarantees customer satisfaction. Let us now have a look at how web scraping helps marketing analytics. […]

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Data Crawling – Evolution and Its Uses

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Janet Williams
Organization’s Operations

The first web crawler was made by Brian Pinkerton from the University of Washington. It was created and launched on 24th April 1994. The crawler was first designed to extract data from different websites and relay that data back into a search engine. It was also designed to visit and learn about new applications and […]

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Real Estate Web Data and It’s Uses

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Janet Williams

Real Estate Web Data has always been a blend of intuition and common sense. Both buyers and investors are always on the lookout for the best property off which to make the most profit. But being slow in your approach would mean losing out to your competitors, which is where web scraping real estate data […]

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Essential Data Science Projects for Every E-commerce Company

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Abhisek Roy

Since the early twenties, the eCommerce industry has boomed riding on the growth of internet services. However, the growth fueled by web penetration may not help companies stay astride of their competition for much longer. The biggest reason behind this is that there are too many full-scale online retailers as well as marketplaces competing for […]

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Critical Components of a Robust Web Scraping Infrastructure

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Abhisek Roy
big data best practices

Building a powerful and scalable web scraping infrastructure requires a sophisticated system and meticulous planning. First, you need to get a team of experienced developers, then you need to set up the infrastructure. Finally, you need a rigorous round of testing before you are good to start data extraction. However one of the most difficult […]

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Customer is Never the King

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Sukesh Chande

This isn’t going to be another customer vs employee topic. That is a completely different discussion that merits its own page! In fact, in this article, I’m not even going to be talking about employees. It will be a customer-centric article that outline why your customer should never be treated like a king! At PromptCloud, […]

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Customer Spotlight with Treebo – Budget Hotels in India

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Administrator
Travel & Tourism

The travel industry and Budget Hotels have been booming for the past few years and millennials are increasingly driving this trend. If there’s one tell-tale sign of a millennial, it’s their love for budget-friendly travel. With the rise of a population that wants to travel without burning a hole in their pockets, companies that cater […]

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Promptcloud’s List of The best Data Mining Tools

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Abhisek Roy
Essential Web Mining Tools

Web Data Mining  Web Mining is the process of extracting data points from web pages to transform them into valuable information using data analysis and visualization tools. The main usage of data mining is extracting raw data from the internet along with web usage patterns via web scraping. In this blog, we will discuss the […]

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Analyzing Vero Moda Fashion Product Data

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Janet Williams

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 […]

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The Definitive Guide to Data Labeling for Machine Learning

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Abhisek Roy
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. […]

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