Data cleansing (or cleaning), is used to refer to the process of detecting and correcting inaccurate, corrupt or unusable data. It is an essential step before any data analysis project, since every step after it assumes the data is “clean” or, in other words, trustworthy and accurate.
In Part 1, we were introduced to the main data types and what you need to look out for in your dataset before you set out to clean it. Here, we will be taking a look at the actual cleaning steps required to get your data ready for service.
The outsourcing industry is notoriously confusing and we’ve all heard horror stories about what can happen if you choose the wrong vendor. We compiled a list of six questions you should absolutely ask each outsourcing vendor that you consider to help determine if they will provide a quality service.
An effective customer service strategy is a cornerstone for building lasting customer relationships, driving customer loyalty, and enhancing overall brand reputation.
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Looking for ways to improve customer service? Let's talk about some proven customer service best practices to enhance customer experience, boost satisfaction, and build lasting customer relationships.
Learn how help desk outsourcing can streamline support, reduce costs, and give your team a productivity boost—thanks to 24/7 coverage, expert staffing, and even AI-powered tools.
Successfully managing live chat support in-house can be extremely complicated and demanding, especially during peak seasons or for businesses with a global reach.
These seven customer service strategies encourage warm, helpful interactions as well as a culture of continuous improvement. Let’s take a look.
Learn how to build a customer service management plan that empowers your team, leverages the right tools (including AI!), and keeps your customers coming back.
Let’s talk about how to implement omnichannel customer support with best practices for data security, tech integration, self-service options, and agent training—all for seamless CX.
