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.

Cervello 是一家市场领先的专业服务公司，致力于帮助进步的企业显著改善数据管理和业务分析。我们专注于为财务、销售、人力资源、营销、服务和信息技术提供数据密集型的分析解决方案。我们是一个由功能和技术专家组成的精英团队，专注于企业绩效管理、数据管理、商业智能和CRM的融合。我们与业务和技术利益相关者合作，以协作、快节奏、敏捷的项目结构为特色，专注于为我们的客户（主要是消费品和零售、金融服务和生命科学领域）提供有意义的成果。

最初，我们有一套由开发人员构建的微服务，可以自己收集在线数据。然而，我们很快意识到，由于在线领域的快速变化，我们需要雇佣一名全职人员来不断调整我们的平台，以应对这些变化并收集所需的数据。

我们使用Bright Data大约一年时间了，对结果非常满意。最初，我们使用Bright Data 的IP代理网络，但当他们推出自动数据收集产品Web Scraper IDE时，我们决定扩大我们的项目范围。它的效果非常好。我们想要实现的两个主要结果是能够快速收集数据和性能的一致性。这两点都通过Web Scraper IDE实现了。有了Web Scraper IDE，我们能够外包我们的数据收集工作，并获取我们所需的在线数据，从而可以专注于我们的核心业务，为客户构建出色的分析解决方案。

我们有一个客户，一家大型跨国消费品公司（CPG），我们需要收集大量关于维生素、矿物质和补充剂领域的在线数据。通过Web Scraper IDE，我们只需请求我们需要的数据类型（来自数万网页的产品属性），Bright Data会以CSV文件的形式交付给我们。然后，我们将数据输入到我们的自然语言处理（NLP）机器学习模型中。我们的客户对Web Scraper IDE所取得的成果非常满意，并且现在也在使用它进行2021年的销售规划。

Bright Data 帮助我们实现目标的主要方式是腾出我们的时间，让我们能够专注于核心业务——为客户构建智能、有洞察力的平台。

我们对Web Scraper IDE的创新水平感到印象深刻。展望未来，我们期望Bright Data继续在数据收集领域保持领先地位，这样他们就可以持续提供满足预期的结果。