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Essentials of Data Visualization and Data Scraping

Essentials of Data Visualization and Data Scraping

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 be...
Boost Your Retail Business with Data Scraping

Boost Your Retail Business with Data Scraping

Data, data, and more data! Sales data, customer data, and product data are what online retailers rely on to be price competitive, reach the right customers, and maintain a healthy margin. The good news is, data is everywhere, but how it is acquired and applied is what makes all the difference. Retail companies utilize a process known as website data extraction to obtain data from a multitude of data sources for processing, migration, and analysis. Once data is acquired by a website data extractor, usually from websites, emails, documents, forms, PDF’s, scanned text, databases, etc., it is imported into an extracting system before being processed and exported to the next step in the warehouse data workflow, or transformed, where it can be merged with relevant metadata. After this transformation bit, the data is then used for generating marketing and sales leads. Price scraping Pricing products for an optimal price margin means steadily having to adjust and reconsider one’s pricing method according to trends in the marketplace, customer activity, stockroom levels, etc. While some of the grounds on which prices are structured is based on internal factors, the figures charged by competitors for comparable products strike a massive impact on the sales quantity and profit margin to be realized by the retailer, and are commonly acquired by a data extraction and monitoring method called price scraping. Price extraction processes allow retailers to compile, extract, analyze, and apply this information in useful ways which permit a more efficient analysis of market conditions, like product abundance, customer demands, and competition. This allows the merchant to determine where to apply the most advantageous price point almost or actually...
Web Scraping for Sales Lead Generation

Web Scraping for Sales Lead Generation

Leads data is an important element for the success of any business. That’s a line you must’ve heard or read from numerous sources. Everyone is always talking about leads. But, what are leads? Well, to keep it simple, they are people who have an interest in what you offer, whether it is a product or a service. You can think of them as potential buyers and thus a way for you to profit from. And these are the ‘leads’ that you might have heard about when marketing professionals talk about lead generation. So, as the name implies, lead generation can be defined as finding such people or leads. This process moves on to administering different tools and resources to make use of the collected data to help a business grow. You might be thinking that you’re more than ready to go and find such leads. But keep in mind that Lead generation is not an easy process. If it were, well then everyone would be doing it. Finding the right customer, influences, and even evangelists isn’t an easy task. So, do plan accordingly if you want to be successful at it. There are numerous challenges Many business organizations face challenges when it comes to lead generation. These problems range from deciding the quality and quantity of leads to having the appropriate content at the right time to create an ad campaign. The list of these challenges also includes selecting the right way to generate quality leads, carrying out lead generation activities, and involving decision makers and interested people in your business. It all comes down to generating leads that will aid...