Eminenture Blog

Data cleansing or scrubbing is an integral part of data management. Typically, it requires focus on maintaining 99.99% accuracy, consistency, and authenticity of data sources. Businesses, these days, are more inclined to maintain data hygiene because they cannot afford the catastrophic effects of bad decisions. It’s obvious that bad or noisy data leads to bad decisions. So, this data cleanup process is emerging as the backbone of businesses’ forecasting and strategy-making teams. Here, some of the most common data cleansing techniques are shared. Let’s start introducing them. Proven Data Cleansing Techniques for Accurate Data Let’s catch up with some of the proven techniques to maintain hygienic data. 1. Data Validation A study by Experian proves that 83% of organizations trust data quality to be critical for their success. This goal cannot be achieved unless you know how to validate data. It is a significant factor in cleansing data. When the data is stored, certain criteria are made ...

Do you find data cleansing really boring? Frequent dealing with error in data for long hours can piss you off. You don’t like to face off those flaws anymore. But, what would you do to your commitment with the firm assigning data entry in the UK or elsewhere? Would you like to credit some more hours or days to accomplish those records? Why don’t you try some data entry tips to speed up data cleansing in the Excel data sheet? I bet your data won’t suffer from discrepancies. Here is a rundown of a few Excel data entry tips to carry on while you cleanse a huge set of data. Finding and Replacing: Do you scroll up and down or move cursor to and fro to spot the errors? You don’t need to do so because you have the Find and Replace function. It can automate searching and then replacing the intended data. You can change numbers, text, zeros, references in formulas and change formatting also. How can you find and replace in Excel? Select the cells where you want to find and r...

What a qualified and skilled professional wants? Obviously, one looks forward to handsome salary and perks apart from satisfaction. Big-data is rolled out with the advent of internet. Heydays are on for expert data entry clerks and analysts. Payscale.com states an average salary worth $52,188 for an entry level data analyst in the US. In India, the vetted professional of SAS, R, data mining and data warehouse earns revenue worth Rs. 309,785 on an average. Just imagine, how much bigger would be the salary package of an adept entry-level clerk and analyst! Having good typing speed and knowledge of MS Excel fulfills prior requirements only. The candidate needs to be the master of many more skills. Data entry services based companies accommodate such aspirants those have:           Technical Skills:   Speedy typing assures an entry ticket to the budding data operators. And if their memory has all shortcut keys of MS Excel and Word, t...