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Category: product-data

A Practical Guide to Web Data QA Part I: Validation Techniques

When it comes to web scraping at scale, there’s a set of challenges you need to overcome to extract the data. But once you are able to get it, you still have work to do. You need to have a data QA process in place. Data quality becomes especially crucial if you’re extracting high volumes of data from the web regularly and your team’s success depends on the quality of the scraped data.

How to leverage alternative data in asset management

Whether you are managing a hedge fund trying to find innovative sources of alpha or are an analyst looking to future proof your company’s financial investments, as big data continues to disrupt the investment research landscape, getting on top of these alternative datasets as early as possible is the key to capturing the immense alpha left in this data.

Price intelligence with Python: Scrapy, SQL and Pandas

In this article I will guide you through a web scraping and data visualization project. We will extract e-commerce data from real e-commerce websites then try to get some insights out of it. The goal of this article is to show you how to get product pricing data from the web and what are some ways to analyze pricing data. We will also look at how price intelligence makes a real difference for...

Gain a Competitive Edge with Product Data

Product data - whether from e-commerce sites, auto listings or product reviews, offers a treasure trove of insights that can give your business an immense competitive edge in your market. Getting access to this data in a structured format can unleash new potential for not only business intelligence teams, but also their counterparts in marketing, sales, and management that rely on accurate...