To serve customers as efficiently as possible and build loyalty to their brand, businesses need data. The purpose of customer data analytics is to gain valuable insights into customer behavior, preferences and trends by analyzing the data collected from multiple touchpoints.
There are different ways to gather and analyze data, along with new, advanced technologies that can help analysts and CX practitioners extract meaningful information to make business decisions such as tailoring products and services to meet preferences, segmenting customers into groups for marketing, and forecasting trends through predictive analytics.
However, handling data in a way that is both compliant and efficient for the business requires astute management, skilled teams and dedicated tools. In this report, CX Network – in collaboration with AWS Marketplace – explores the current state of customer data analytics, how to enhance data quality and the analytics capabilities businesses need for the future, featuring real world examples from Formula 1, Hostelworld and Adobe.
Download this report to find out:
- The current state of customer data analytics.
- How to improve the quality, storage and analysis of customer data.
- Beyond the contact center: the data analysis capabilities organizations need for 2024 and beyond.