Top Data Visualization and Data Scraping Essentials
There’s data, there’s information, and then there’s knowledge. Knowledge, or insight, is where we make sense out of and organize information that we have pieced together from what was just random, unstructured and otherwise useless data. Data visualization is how we describe this process by presenting data in a visual representation somewhat more advanced than simple spreadsheets, such as interactive infographics, maps, graphs and charts, making the data analysis process considerably easier. This allows for complex data groupings or concepts like patterns and relative connotations to be quickly digested. In this way, decision makers can have easier time pinpointing things which might benefit by an attention aimed at amendment, identify elements impacting consumer behaviors, determine more efficient product positioning strategies, and forecast potential gross sales revenues. The way this process benefits companies is that big data analyses can allow for identification of new avenues for generating revenue, more effective and targeted marketing campaigns, improved customer service, better organizational efficiency, and, potentially, a competitive edge over contenders in the marketplace. The Big Data Analytical Process Data visualization is the step in the big data analysis process wherein data has been gathered, usually a whole lot of it, in a process called data scraping, where web crawler bots scrape data from websites from a large variety of sources for a specific project, filtered, analyzed, and aggregated for interpretation. Once data has been scraped from a website, it is warehoused until it can be sorted through, filtered, and analyzed. At this point, the role of quality data management systems becomes critical in the analytical process. Data to be warehoused then needs to...
Excellent Brand Monitoring with Data Scraping Services
If you run a business, then you would know how tough it can be to always stay ahead of the competition. While the online world has allowed for global sharing of data, it has also provided a platform for new businesses to pop up. Apparently, everyone thinks of themselves as an online entrepreneur nowadays. And while a lot of businesses don’t get off the ground, some of them might end up entering your niche, and yes, cause trouble. Similarly, if you’re trying to break into a market, you need to understand how it works, what the customers are looking for, etc. This is why brand monitoring is so important. What comes to your mind when you find out that a certain product is from Chanel, Nestle, or Coca Cola? You feel a sense of assurance about the said product or business being of high quality. This is what brands strive to achieve. They want to strike the right chord with the target audience. Letting them know that can give them what they want. Due to the internet, people are open to their opinions. They write reviews about the things they like. Whether a product is good or bad, you’re sure to find a lot of opinions about it. So, brand monitoring is about going over these reviews, right? Well, going over reviews isn’t technically wrong. But brand monitoring entails a lot more than that. And manually going over relevant content consumes a lot of time and gives rise to errors. This is where data scraping comes in. Ever wonder how Google is about to provide you with all those...
Smart Ways of Image Scraping for Web Harvesters
Gone are those days when a picture was worth a thousand words. Now a picture is worth a few hundreds of likes, thumbs up, tweets and shares. And the more- the better. People generally are extremely protective about finding their images used online without permission. This blog post aims at explaining why web harvesters scrape images from websites, to what extent is that legal as well as industries that can benefit from scraped images. In addition, I will also illustrate how to use copyrighted images in a way that is legally right while still being respectful to the creator’s ownership rights. Shall we? Image scraping is probably one of the most neglected subjects in the computer vision field. Meanwhile having that skill under your tool belt can give you many advantages whether your intention is to build an image search engine, to find relevant images in the collection of photos, develop computer vision application or larger projects like scraping product images from e-commerce websites. It all starts with the images themselves. And where do these images come from? Well, if you’re lucky, you might be able to find the images you need in an existing image database like CALTECH-256, ImageNet, or MNIST. But as many of you know, it’s hard to find a dataset that will suit all your needs or perhaps you are given a task to create your own custom dataset. In that case, God bless the image scraping, as it’s the only solution you are left with. Typically competitor websites from industries like e-commerce, hotel & travel, real estate, event planning, etc. benefit most from sustainably-scrapped images. However, scraping images...<Previous
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