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.
The purpose of measuring ASAT is to proactively identify risks such as burnout or lack of engagement, and ensure the team is happy doing the work they’ve been hired to do.
Breaking up with a client is the process of ending a business relationship that isn’t working either for the customer or the business. Here's how to do it right.
It seems almost cliché but here it is: customer expectations for service are getting higher (and will be even higher in 2022). Craig Stoss shares three ways to meet customer demands without losing your mind (or your team).
After eight years of hypergrowth leading training for Airbnb’s 250 person Global Safety & Claims team, Robyn Barton joined PartnerHero to head up Learning & Development in September.
Implementing quality assurance practices in your support environment will enable you to enhance the quality of customer interactions, ensure customer satisfaction, increase efficiency, and optimize performance.
