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August 17, 2020 @ 8:31 AM By BRIJESH PRAJAPATI
If you’re in the world of data analysis or data science, you’ve probably heard of data blending. But what exactly is data blending, and what are the benefits and costs associated with it? Keep reading to dive into the basics of data blending.
Data blending is the process of collecting data from multiple sources and merging it into one easily consumable dataset. This allows you to see correlations in the blended data and extract valuable information from it while avoiding the hefty time and monetary investment that comes with traditional data warehouse processes. This multi-source collection method allows you to gain a more complete picture to help leaders make better-informed decisions.
Interesting Read: https://hirinfotech.com/how-can-businesses-best-leverage-data-scrubbing/
Generally speaking, the main benefit of using blended data is that it saves your analysts a lot of time. According to Forbes, data analysts spend the majority of their working hours (about 80% of it) preparing, cleaning, and creating datasets. This means that only 20% of data analysts’ time is actually spent pulling beneficial insights from a dataset. Imagine how much more insight your business could pull from these analytics if the collection/preparation process was more efficient. Data blending helps to increase the efficiency of data preparation, to an extent.
While data blending and data joining are both methods of combining data for analysis, there are clear distinctions between the two approaches. Data joining is when you merge data from a single data source, with the same inherent dimensions (e.g. two tables from an Oracle database, or two spreadsheets from Excel). Data blending takes this process one step further by allowing the user to encompass multiple sources into their dataset, even if the sources don’t have the same innate measures or dimensions (e.g. combining data from an Oracle table with data from an Excel spreadsheet).
Interesting Read: https://hirinfotech.com/what-is-data-visualization-and-why-is-it-important/
Usually, data blending is most beneficial when you want to:
Manual steps in the data preparation process such as data blending can be unnecessarily time-consuming. The good news is, there’s a more efficient option. Web data integration from Hir Infotech works directly with your web data to identify, extract, prepare, integrate, and allow you to consume data insights in real-time. This automated process eliminates the time typically spent on data cleansing and preparation, providing you with consumable data in seconds.
Interesting Read: https://hirinfotech.com/blog/
About the author:
Hir Infotech is a leading global outsourcing company with its core focus on offering web scraping, data extraction, lead generation, data scraping, Data Processing, Digital marketing, Web Design & Development, Web Research services and developing web crawler, web scraper, web spiders, harvester, bot crawlers, and aggregators’ softwares. Our team of dedicated and committed professionals is a unique combination of strategy, creativity, and technology.