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Erica started her career in marketing but moved into success and support roles 10 years ago, never looking back. Read how she built a 30-person support team from scratch that proved to be the growth engine for the company.
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Kim Wagner, Head of Quality at PartnerHero, wants you to forget everything you’ve ever heard about Quality Assurance (QA) programs. In her mind, traditional QA programs used by most companies and BPOs are biased, incite fear in employees and - perhaps most damning - do little to help customer support teams improve the quality of customer interactions.
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.
Customer service challenges can go beyond slow response times. Understanding these eight common customer service challenges can help your team prepare.
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.
Erica started her career in marketing but moved into success and support roles 10 years ago, never looking back. Read how she built a 30-person support team from scratch that proved to be the growth engine for the company.
Kim Wagner, Head of Quality at PartnerHero, wants you to forget everything you’ve ever heard about Quality Assurance (QA) programs. In her mind, traditional QA programs used by most companies and BPOs are biased, incite fear in employees and - perhaps most damning - do little to help customer support teams improve the quality of customer interactions.
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.
Customer service challenges can go beyond slow response times. Understanding these eight common customer service challenges can help your team prepare.
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.
