Data collection can be costly. If you are searching for the most effective way to reduce the data collection costs of your organization, this article is for you. We will discuss the tested strategy you can implement to lower data collection costs by up to 54%. Without any further ado, let’s jump right in.

Retail has never been an easy industry – Online, companies are struggling with ‘data cloaking’, accessing GEO-specific data, understanding consumer social sentiment, and getting a real-time feed of competitor activity. Read on to see how industry mavericks are attaining above-average sales cycles

Web Data allows companies to see travel market dynamics across regions, pricing, inventory, supply chains and consumer behavior. It tells what customers are doing, surfaces critical trends, and can even help anticipate what competitors will do next.

More than fifteen data scientists, data engineers, MLOps engineers, and data analysts recently came together to talk about the latest challenges and opportunities in web data and why Bright Data’s solutions are a real game changer.

Investment houses are monitoring social media, search engine, and consumer demand data, getting real-time alerts when companies in their portfolio are mentioned. Here’s how.

User search engine journeys, as well as the public sharing of relationship milestones is helping companies in the matchmaking industry increase market share and profit margins. Here’s how.

Learn how IBM’s algorithms are ingesting news stories, and social media data in order to drive interest and engagement in Wimbledon merchandise, and televised games

Understanding the data-driven algorithmic modeling revolution and how your company can benefit from Artificial Intelligence (AI) synthetic output

Bright Data believes in transparent and ethical practices, especially when it comes to dealing with users who make up its Residential peer network. To ensure compliance, we use advanced monitoring protocols and partner with top anti-virus companies. Sometimes, we make decisions which might seem a little crazy, like cutting out parts of our own network. That is what this post is about.

Quantitative pertains to numbers such as competitor product fluctuations, while qualitative pertains to the ‘narrative’ such as audience social sentiment regarding a particular brand. This article explains all the key differences between the two, as well as offering tools to quickly and easily obtain target data points

Climate change is neither theoretical nor new, and while many organizations are already doing their part to fight climate change individually, we need to build a culture of collaboration and incorporate new data strategies at both a private and public level if we ever hope to define what a sustainable future could truly one day look like.

Looking for better results in terms of team performance? Learn to adapt your leadership style to the web data-driven era, adopting an opportunity-oriented mindset based on consumer sentiment, trends, and competing entity management styles