Cervello is a market-leading professional services firm dedicated to helping progressive enterprises dramatically improve data management and business analytics. We specialize in data-intensive, analytical solutions for finance, sales, human resources, marketing, services, and information technology. We are an elite, industry-leading team of functional and technical experts focused on the convergence of Enterprise Performance Management, Data Management, Business Intelligence, and CRM. We work with our business and technology stakeholders in a collaborative, fast-paced, agile project structure and are focused on delivering meaningful results to our customers, who are mainly in the CPG & Retail, financial services, and life science areas.
Initially, we had a suite of microservices built by developers so we could collect online data by ourselves. However, we quickly understood that as the online sphere rapidly changes, we would have needed to employ someone full-time to be able to adjust our platform constantly to deal with these changes and collect the data we needed.
We’ve been using Bright Data for around a year and we are very happy with the results. Initially, we were using Bright Data for the IP proxy network, but when they came out with their automated data collection product, the Web Scraper IDE, we decided to expand our project. It’s worked exceptionally well. The two main results we were looking to achieve were the ability to collect data with very quick turnarounds, and consistency in performance. Both of these have been achieved with the Web Scraper IDE. With the Web Scraper IDE, we’re able to outsource our data collection efforts and get the online data we need so we can focus on our core business and build excellent analytical solutions for our customers.
For one of our clients, a large, multinational Consumer Packaged Goods (CPG) company we needed to collect large amounts of online data in the vitamins, minerals, and supplements space. With the Web Scraper IDE, we just request the types of data we need (product attributes from tens of thousands of web pages), and it’s delivered to us in a CSV file. From there, we feed the data to our machine learning model for Natural Language Processing (NLP). Our client is very happy with the results we’ve achieved with the Web Scraper IDE and is now using it for their 2021 pipeline planning as well.
The main way Bright Data assists us in achieving our goals is by freeing up our time and allowing us to focus on our core business – building intelligent, insightful platforms for our customers.
We were impressed to see the level of innovation with the creation of the Web Scraper IDE. Moving forward, we’d expect Bright Data to continue leading the data collection field, so they can continue delivering the results we currently achieve and expect.
