G2M Customer Story

Driving Data-Driven Decision-Making to Transform The Customer Experience

Challenge

A leading cable operator faced challenges in delivering a consistent and high-quality customer experience (CX). With disparate data sources, limited integration, and ad hoc analytics, the organization struggled to harness the power of data to enhance customer satisfaction. Key obstacles included:

- Fragmented data pipelines, leading to inefficiencies and low data reliability.
- Lack of a single source of truth for CX metrics and operational insights.
- Limited predictive and prescriptive analytics capabilities to guide decision-making.

Impact

G2M Insights partnered with the client to create a comprehensive CX data and analytics framework to transform how decisions were made and improve the customer experience.

Solution

Data Infrastructure and Integration

Developed a centralized data vault architecture to act as a single source of truth for CX analytics. Standardized and cleansed disparate data sources, improving match rates and data reliability. Implemented a segregated development and production environment for scalable data pipelines.

CX Metrics Framework

Designed a robust metrics framework linking customer experience metrics (e.g., NPS, effort scores) with operational drivers (e.g., install timelines, time-to-resolution). Established clear relationships between perceptual and operational metrics to enable actionable insights.

Advanced Analytics Capabilities

Prototyped predictive and prescriptive models to anticipate CX outcomes and recommend optimal interventions. Leveraged machine learning techniques to identify causal relationships between CX metrics and operational drivers.

Stakeholder Enablement

Delivered interactive dashboards for real-time insights using tools like Tableau and Alteryx. Conducted workshops to train internal teams on leveraging the new tools and analytics effectively.

Key Outcomes

Improved Decision-Making: The centralized data environment enabled faster, data-driven decision-making at all levels of the organization.

Enhanced Customer Experience: By linking CX metrics to actionable operational drivers, the organization could proactively address pain points in the customer journey.

Operational Efficiency: Streamlined data pipelines and workflows reduced processing time and improved reliability.

Predictive Insights: Advanced analytics empowered the organization to anticipate and address customer needs, driving higher satisfaction and loyalty.