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Data Scraping: A Must Have for Your Data Collection Strategy

Data Scraping: A Must Have for Your Data Collection Strategy

Entering 2018, many businesses look to develop data collection strategies to generate profit and identify new growth opportunities through big data acquisition and analysis. Regardless of the niche where you operate, you need to have access to accurate data in order to streamline processes, target your marketing efforts more effectively and reduce operational costs. Harvesting massive amounts of raw data and extracting important insights from it provides you with reference points and helps you discover your strengths and weaknesses. Failing to embrace the full potential of big data analysis, you risk to lose out on revenue and customers. At the end of the day, if you’re not making data-driven decisions when building your growth strategy, you’re losing the game to those who are. While big data has become a buzzword over the recent years, many organizations still don’t manage to gather data assets and get strategic value from them. The reason for missing the balance between your business goals and data acquisition strategy often lies in the logistics and tools involved in the data collection process. Given the unprecedented volume of information floating across the Internet, old-school methods of data acquisition are no more efficient. Just think that the Internet has been doubling in size every year since 2012 and according to Cisco, the global Internet traffic reached 1.1 zettabytes per year. Yes, it’s a compelling amount of data and it can be harvested to help you grow your business, but only if you know how to do it right. Of course, you can flip through hundreds of sources trying to copy and paste the information from one page...