Small ventures have to navigate more than usual struggles. The reason is the limited budget and resources. The operational efficiency is something even they cannot compromise with. This is where outsourcing emerges as a silver lining. Back office operations typically involve a lot of data-powered work, which encompasses data entry, management, processing, cleansing, scanning, conversion, analysis, research, etc. Certainly, these tasks are resource-intensive, which is where small companies seem unable to deal with data-based requirements. A report by Grand View Research spotlights the size of the global outsourcing market. It was evaluated at $92.5 billion in 2020 and is likely to consistently scale at a compound annual growth rate (CAGR) of 9.1% between 2021 and 2028. For sure, some more reasons are behind why small companies should hire external support for data input services. Let’s dive in to discover below: Why Outsource Data Entry Services? Certainly, some concrete reasons press...
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 ...