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How Datahen Ensures Data Accuracy and Business Success

How Datahen Ensures Data Accuracy and Business Success

Data accuracy is all that matters when you deal with any database. At Datahen, we realize the importance of data accuracy for your business and set data accuracy as a priority. All businesses can greatly benefit from data in a number of ways, however, relying on inaccurate data would create more problems rather than solutions. According to a study by DiscoverOrg, sales and marketing departments lose approximately 550 hours and $32,000 per sales rep from using bad data. In 2013, a study showed that data quality costs over $14 million a year to a wide range of companies. In this article, we’ll reveal how data can transform your business, the importance of data accuracy, and how Datahen ensures to deliver only high-quality data. Let’s Define Data Accuracy To define data accuracy we need to first understand what are the definitions of data and accuracy. Data means information (e.g. facts or numbers) that was collected, examined and used to help in the decision-making process. Data also means information in an electronic form, which can be stored on a computer for further use. The term accuracy, in general, refers to the correctness and precision. So data accuracy is an important component of data quality. Without data accuracy, the data you’ve collected may be of no use. In all companies, data is collected from several disciplines. So businesses usually have a huge collection of complex data that must be maintained and grouped in a specific way. Data collection is useless if the collected data isn’t sorted and is left unorganized. It’s crucial that the company handles the big amount of data it...
Big Data in Agriculture-Smart Farming Made Easy

Big Data in Agriculture-Smart Farming Made Easy

The digital era has revolutionized many industries with the huge impact of big data. The overwhelming amount of information available on the web is estimated to reach 44 zettabytes by 2020 and it has proven to be of immense value to many industries, as well as large enterprise companies. Some industries that benefit from big data are the financial, airline, travel, restaurants, automobile, sports, and hospitality industries. The list may go on and on because big data can be a powerful tool in the hands of an industry expert. By the end of 2017, the adoption of big data by companies has reached 53%. One industry that can greatly benefit from big data but may not instantly come to your mind is the agricultural sector. Yes, the agricultural industry also can make use of data in many practical ways and benefit from it greatly. Big data brings an innovative approach in almost every sector of the world, so why would agriculture be left behind. Although not many technologies can have an impact on the agricultural sector, big data is such a powerful force that it definitely has the potential to transform the agricultural domain. It’s extremely important that today farmers understand and value technology, in order to make decisions more quickly and methodically and not lag behind the innovative approaches. The agricultural sector together with big data integrates into the concept known as Smart Farming. Keep reading to find out what smart farming is all about and the role of big data in it. Also, keep reading to learn many practical ways of how big data is leveraged in...
10 Myths About Data Scraping You Probably Still Believe

10 Myths About Data Scraping You Probably Still Believe

Data scraping is the process of extracting data from the web and it has become very popular in recent years. If used and analyzed properly, data can be a powerful tool. Hence, web scraping is an important growth catalyst for many businesses today. There’s currently a lot of inaccurate and misleading information about data scraping, which can make you confused. In this post, we’ll breakdown the most common myths about data scraping. 1.Data Scraping Is Illegal Data scraping and web crawling are not illegal, as long as you follow all the rules. Generalizing the whole data scraping practice as an illegal activity is nothing but wrong. All websites have their rules that you need to carefully follow and obey. The same logic is behind web scraping. If you get involved in web scraping, you need to get familiar with the legal and ethical side of data scraping. You will find a lot of debates and controversial information on the topic of legality. But one thing is undebatable and it’s that the problem of legality arises not on web scraping itself, but on how people choose to use the data they have scraped. Before you scrape the website, you need to read the terms of service of that website, where you’ll find whether you are allowed to scrape this website in general. People can scrape copyrighted information and republish it without giving credit to the original author. So in this case, the problem lies not in the fact that data was scraped, but in how it was later used. Also, you can scrape information that is not publicly available and...
How Price Optimization Benefits Retail Businesses

How Price Optimization Benefits Retail Businesses

Setting competitive pricing has become a major challenge for businesses. In the era of massive competition, it’s hard to come up with a price that will be effective both from the profit-making perspective and satisfactory for customers. That’s where price optimization comes into the game. Price optimization uses mathematical analysis to determine how customers would respond to different prices via different channels, as well as the price that would maximize the operating profit of the company. It’s not about price monitoring, but rather, it’s the process of using data to make analysis and determine the price based on the willingness to pay (WTP) of customers. Price Wars in E-commerce Nowadays, customers can easily go online and compare the prices of similar products with the help of search engines and online catalogs. So the tough competition definitely plays a major role in the process of setting a competitive price. Besides competition, retailers need to pay attention to factors such as product costs, distribution costs, and market positioning. All of the challenges for price setting bring to a situation called price war. A price war is a hard time for retailers. During the times of severe competition, companies start lowering prices to undercut competitors and find themselves in price wars. The purpose is to attract as many customers as possible to win the biggest market share. With the rise of the internet, it seemed that the price wars would diminish. However, managers have a different view of what’s happening. Price changes are seen as an easy, quick and reversible actions. In reality software, different tools, artificial intelligence, and big data offer...
How Big Is Big Data? An Inside Look at It

How Big Is Big Data? An Inside Look at It

Have you ever wondered how big big data is? Or did you ever think what big data is used for? Well, if you answered no to these questions then we have to disappoint you. Big data is a part of our daily lives and not knowing how and why it works is affecting you quite adversely. Data is the king in this age of digitization and the internet. But what exactly is data? Well, data is simply information; information that has expanded exponentially by the time you have finished reading this sentence. Why Everyone Should Care About Big Data? So why you should care about big data? You watch many videos and visit multiple websites and blogs on your computer or smartphone on a daily basis, and each of these actions adds more data on your profile in somebody’s database. This information will be then used to target you for ads or political campaigns or simply predict what people like you would do in the future. All of this data will have an effect on your future, it might help you get to a job interview or it will make you go to jail. So how big is big data considering how much data a simple person like you creates on a daily basis? Now, remember that there are millions of people like you in the world. In 2008, Google was processing 20,000 terabytes of data every day. In 2018, Walmart has collected 2,500 terabytes data on its customers per day. So although the size of big data does matter, there’s a lot more to it. Firstly, big data...