Customer experience transformation relies on understanding the challenges in your contact centre and being able to identify the root causes. FourNet’s Data Analytics as a Service helps you bring together data from across systems and channels, turning raw information into structured CX analytics that improve service delivery, inform better decisions and unlock measurable value.
Between 70-88% of all digital transformation projects fail to deliver the improvements that they were forecast. One of the key factors for this high failure rate is that organisations are not spending the necessary time and resources to understand the problem. Data analysis is key to driving effective change and FourNet helps organisations with this. From data clean-up to forecasting and dashboards, FourNet’s Data Analytics as a Service supports organisations uncover the root cause of inefficiency and service failure, giving you the clarity to improve CX, reduce effort and prepare for transformation.
Whether you need to improve reporting accuracy, optimise your contact centre operation or prepare for intelligent automation, FourNet helps you use customer data to solve the challenges that matter most.
We rebuild contact centre reporting frameworks from raw data, eliminating manual processes and untrustworthy metrics. The result is faster, more accurate MI you can rely on.
We help you understand true contact volumes, effort levels and demand profiles across channels so you can plan capacity with confidence.
Translate CX analytics into better resource models. Identify workload drivers, understand where work takes place, and make data-driven resourcing decisions.
We assess and prepare your customer data for AI tools and workflow automation, ensuring systems are integrated, clean, and structured for high-value use cases.
We surface the gaps and blind spots in your data, from hidden backlogs to incomplete channel coverage so you can address inefficiency and reduce compliance risk.
Our consultancy helps you use data not just to measure performance, but to improve it. From foundational contact centre analytics to advanced modelling, we turn data into action and insight across the customer journey.
Starting from the raw source, we clean, validate and reconcile your contact centre data to remove inaccuracies, inconsistencies and legacy filters that skew insight.
Analyse how work flows through your operation, what’s taking time, and where effort can be reduced. This includes wrap time, handling time and non-telephony tasks.
Design structured, visual dashboards for leaders and operational teams to track key performance indicators and customer experience metrics in real time.
Use machine learning and forecasting models to predict demand, customer intent and future service bottlenecks before they impact performance.
We prepare your data ecosystem for Conversational AI, intelligent assistants and back-office automation by ensuring it is accessible, structured and aligned to use case requirements.
Replace error-prone spreadsheets and slow manual processes with automated management information, built to support decision-making across functions.
Why Organisations Trust FourNet with Their CX Data
We understand the reality of running large, regulated contact centres where data often sits across disconnected systems. Our Data Analytics as a Service approach brings structure and strategy to your customer data, allowing you to improve everything from planning and reporting to automation and compliance.
£950k
saved annually
90%
reduction in call wait times
84%
more calls answered per paid hour
4,000
more customer queries resolved weekly
50%
reduction in call abandonment rates
90%
CSAT score
12%
reduction in AHT
50%
reduction in paid sickness
Get a Clearer View of Your Contact Centre
Our Data & Analytics Diagnostic gives you a full picture of how data is being used across your operation. We benchmark your reporting capabilities, identify the most valuable opportunities for improvement, and show you how to get your organisation AI- and automation-ready.
