Making Sense of Customer Experience Data

Lots of pink question marks scattered on a blue background
Filed under - Industry Insights,

Stuart Dorman of Sabio explores how we can drive more value from the Customer Experience (CX) data stored within contact centres.

At Sabio’s recent Executive Forum, there was a discussion over how organisations could start to derive more value from the multiple datasets already available across their customer journeys.

With contributions from C-level executives representing the insurance, retail, travel, IT services and outsourcing sectors, there was a clear recognition of the untapped value just sitting there waiting to be exploited.

Many felt that initial enthusiasm to embrace discrete Machine Learning or AI-led projects to make use of these large but discrete data sets showed some real promise, but there was a consensus that the real value lies in linking together data siloes that exist across the entire customer journey.

That’s why it’s essential that we understand not just where we’re starting from when it comes to CX insight management, but also where we’re heading.

While most customer contact operations already collect data from digital, self-service and human-assisted call centre interactions, very few are linking this data to the actual ‘outcomes’ identified from web chat, virtual assistants, speech analytics or customer feedback.

Linking these siloes together unlocks the opportunity for predictive analytics (What will happen?) and even prescriptive analytics (What should I do?), which can then be applied to optimise the customer journey across areas such as proactive contact, targeting, routing, forecasting and coaching.

What’s clear is that current customer journey initiatives still have some way to go to move beyond simply collecting data and optimising single touch points.

Often referred to as Customer Journey Analytics, the focus needs to be on linking multiple datasets – coupled with in-depth insights and predictions – to achieve more valuable outcomes.

Stuart Dorman

Better outcomes include reducing bad demand by identifying process and experience improvements, improving sales performance or tracking and predicting the business impact of CSAT.

To stay ahead of the game it is good to use technology to link and extract value from CX data siloes to create a clear, end to end view of customer behaviour. This is the next step in unlocking the next wave of benefits from your digital transformation initiatives.

For more information about Sabio - visit the Sabio Website

About Sabio

Sabio Sabio Group is a global digital customer experience (CX) transformation specialist with major operations in the UK (England and Scotland), Spain, France, Netherlands, Malaysia, Singapore, South Africa and India. Through its own technology, and that of world-class technology leaders such as Amazon Connect, Avaya, Genesys, Google Cloud, Salesforce, Twilio and Verint, Sabio helps organisations optimise their customer journeys by making better decisions across their multiple contact channels.

Read other posts by Sabio

Call Centre Helper is not responsible for the content of these guest blog posts. The opinions expressed in this article are those of the author, and do not necessarily reflect those of Call Centre Helper.

Author: Sabio

Published On: 15th Apr 2019 - Last modified: 19th Jul 2022
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