Data Tiles
← Back to Industry Use CasesTelecommunications · Latttice

Activating customer experience with governed data products.

How a telecommunications provider could use Latttice, the AI-powered Data Product Workbench from Data Tiles, to turn fragmented customer data into trusted, reusable data products — bringing a single view of the customer to the moments that matter.

Executive Summary

From Data Silos to a Trusted Customer View

Telecommunications providers sit on enormous volumes of customer data, but the value of that data depends on how easily teams can access and trust it. Billing systems, network platforms, CRM environments, and digital channels each describe the customer differently, and the work of reconciling those views typically falls to data engineering.

This example illustrates how a telecommunications provider could use Latttice to activate its existing data ecosystem. Rather than rebuilding platforms, the organization could use the Data Product Workbench to transform fragmented customer data into governed, reusable data products that could be consumed by service, marketing, and network teams alike.

Key Outcomes

Four shifts in how the provider used customer data.

01

Unified View of the Customer

Service, marketing, and network teams worked from the same governed customer data products rather than locally prepared extracts.

02

Faster Time to Insight

Common requests were satisfied through reusable data products instead of new engineering tickets, compressing weeks of work into hours.

03

Reduced Engineering Load

Data engineering capacity shifted from repetitive preparation to platform improvements and new capability delivery.

04

Governance Built In

Definitions, access controls, and quality rules were embedded in each data product as it was created, not bolted on later.

The Challenge

A Customer Defined Differently in Every System

The provider's customer data was spread across operational, analytical, and channel-specific systems. Each system maintained its own definitions, identifiers, and update cycles, which made it difficult to build a consistent view of the customer across the organization.

Fragmented Customer Data

Billing, network performance, CRM, and digital interaction data lived in separate systems with different definitions of the same customer.

Slow Request Cycles

Every new view of the customer required engineering effort, and by the time data arrived, the business question had often moved on.

Low Trust in Reports

Teams reconciled conflicting numbers across channels, which slowed decisions and eroded confidence in the underlying data.

The Approach

Business-Built Data Products in Latttice

Rather than commissioning another large-scale integration effort, the provider could use Latttice to let domain teams design the customer data products they actually needed. Subject matter experts in customer operations and marketing worked in the Workbench's guided, zero-code environment to define attributes, combine sources, and apply governance rules.

Access controls, quality rules, and policy logic could be built into the data product creation process from the start. As products were published, they would become reusable assets that any approved team could consume through familiar tools — BI dashboards, spreadsheets, conversational interfaces, and operational applications — without reopening engineering tickets.

Organizational Impact

Trusted customer data across the business.

01

Customer Service Acceleration

Frontline teams accessed governed customer data products that combined account, usage, and interaction context in a single, trusted view, reducing handling time and improving resolution rates.

02

Sharper Marketing Activation

Marketing teams reused governed segments and propensity data products across campaigns, ensuring consistency between channels and reducing campaign setup time.

03

Network and Experience Alignment

Network operations and customer experience teams worked from the same governed data products, making it easier to correlate service quality with customer outcomes.

04

Foundation for AI

Because customer data products were governed, documented, and consistently structured, they became a reliable foundation for AI-driven personalization and next-best-action use cases.

Conclusion

Customer Experience Begins With Trusted Data

For telecommunications providers, customer experience is shaped by countless small interactions — and each of those interactions depends on whether teams have access to trusted data when they need it.

By activating its existing data ecosystem through Latttice, the provider could deliver a consistent, governed view of the customer to the people and processes that depend on it, without rebuilding the systems already in place.

Explore Latttice Industry Solutions

Latttice supports organizations across telecommunications, financial services, insurance, and more — helping teams turn governed data into trusted data products at the point of decision. See how Latttice can work for your industry.

Industry solutions on Latttice →