Chord
Verizon Wireless

From bottleneck to business velocity with an AI analytics agent that put real-time answers in the room.

60 to 1

Days to build audiences

$1.8M

Saved (single use case)

40%

Predictive workloads absorbed

150K+

Legacy reports replaced

“One of the best tech decisions Verizon has ever made.”

— Chris Colangelo, VP, Verizon Wireless

The Company

A telecom giant with a massive BI footprint and a mandate to move faster with AI.

  • Verizon Wireless is one of the largest telecommunications companies in the world, serving millions of consumers and enterprise customers.
  • Massive BI footprint: ~150K Tableau reports, ~22K Qlik apps, ~8K ThoughtSpot reports, and 1,500+ BI developers.
  • Zenlytic by Chord deployed internally as “Velocity Query” in Verizon’s own VPC running Claude models on Google Vertex.

The Challenge

Data everywhere. Answers nowhere.

  • Data everywhere, answers nowhere. Getting answers to business-critical questions still required routing requests through analysts and waiting days for reports.
  • In-house AI fell short. One audience-building use case alone was projected to cost $1.8M and take 60 days per cycle.
  • Legacy vendors couldn’t deliver. Qlik, Google, Tableau, and ThoughtSpot had all promised conversational analytics but hadn’t shipped it.
  • CEO mandate on AI. CEO Dan Schulman publicly declared the intent to use AI to simplify offers, improve CX, and reduce churn. The CDO’s top priorities: “talk to data” and “better churn analysis.”

Why Zenlytic by Chord Won

Transparent, governed, and purpose-built for conversational analytics.

  • Transparency: Every answer is traceable through Zenlytic by Chord’s Clarity Engine. Every metric is defined and governed, so business users trust what they see.
  • Natural language access: Zoë gives anyone from a CRO to a marketing lead instant, trusted answers with no SQL required.
  • Enterprise-grade security: VPC deployment with Claude models hosted on Google Vertex met Verizon’s security requirements from day one.
  • Purpose-built for conversational analytics: Unlike Qlik, Looker, and Tableau, Zenlytic by Chord was built from the ground up with a governed semantic layer and proactive analytics.

Key Results

Same-day audiences, millions saved, and a 40% lift on predictive workloads.

  • 60 days to 1 day: Audience building reduced from a two-month cycle to same-day turnaround for sales and marketing teams.
  • $1.8M saved on a single use case: Replaced a planned internal build with Zenlytic by Chord handling it out of the box.
  • 40% of predictive workloads absorbed: Verizon’s lead enterprise architect estimated Zenlytic by Chord can handle 40% of data science workflows.
  • Land and expand: Started with B2B team; expanded to Enterprise Analytics with senior leadership authorizing an additional $150K to accelerate deployment.
  • Beat the field: Evaluated against Qlik, Looker, Tableau, and ThoughtSpot. Verizon’s team: “It worked great in all scenarios.”

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