Conquering Customer Service Data Management: What Metrics You Need to Measure & How to Start
Add bookmark
Too few customer service organizations and affiliated departments realize the true potential of their CRM initiatives. There are plenty of reasons that efforts fall short, but a major contributor to underperforming systems is the poor quality of master data that populates them. Other contributors include how and where data is stored. Siloed databases, numerous multi-vendor applications, unstructured data formats, and the lack of consistent information across multiple channels all play a part in CRM efforts that fail to deliver on their promise to present a cohesive view of customers.
In this Parature white paper, we’ll cover:
- Defining Your Goals for Data Management
- Stating Your Case to Decision Makers
- Addressing Data Quality
- Initiating a Pilot Program
- Maintaining High Data Standards
