In this case, the company might be looking to use data for business insights, such as finding new startups to invest in or potential clients.
The usage of web data can be called signal generation. A company identifies what signals would be valuable for the business, whatever they would be, and searches for data that can help generate these signals. “If data delivery gets disrupted for some reason, the process your company has built based on this data would also be disrupted. What’s worse is that it would be nearly impossible to quickly find a replacement for the exact data you were getting. Be sure to choose an experienced and reliable data provider to avoid such risks,” Justas recommended.
In that case, it is possible to build a workflow with one multi-skilled data analyst or data engineer with a few years of experience working with big data. I’m talking about terabytes of data delivered to you regularly, which means that your team should be able to work with specific tools and frameworks, such as Apache Spark or Airflow, the workflow management tool for big data pipelines.