5 Reasons Why Businesses Must Invest in Data Cleansing Practices

There’s a golden rule of ‘cost of quality’ of 1-10-100, which states that prevention is less costly than correction. According to this rule, it costs exponentially more money to identify and correct data errors than the longer it takes to find them. Hence, data cleansing is the best practice for avoiding costs that crop up when businesses are busy processing errors, rectifying incorrect data, or troubleshooting.
Clean, consistent, and coherent data makes way for the successful management of multichannel customer data. After all, accuracy in customer data such as phone numbers, postal, and email addresses allows your sales representatives to successfully execute contact strategies across different channels.
Companies with well-maintained data at their easy disposal are best placed to develop lists of sales-qualified leads, which in turn convert to customers using updated and accurate data. As a result, businesses can streamline as well as increase the efficiency of their customer acquisition and onboarding operations.
One of the tangible benefits of data cleanup is accelerated decision-making as nothing supports the straightforward process like clean and accurate quality data. High-quality data supports MI and other key analytics, which in turn provide companies with the insights that are required to make wellinformed business decisions.
Data cleaning is also important as it improves the data quality and, therefore, leads to increased productivity. Employees need not waste time looking for correct contact details and then pitch in the sales tone. When incorrect data is removed or replaced with accurate information, they are left with the highest quality information. This means that their teams don’t have to use time and resources to wade through incorrect and irrelevant data.