30%
Reduction in visualization platform costs.
Live Ticket Operator Saves 30% Using Scalable Analytics
Modernized data workflows to support 120,000+ live events with speed and agility
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120,000+
Live events analyzed with real-time insights.
1–10 GB/day
Data processed through a scalable analytics pipeline.
Client overview
A fast-growing entertainment access platform helps consumers access over 120,000 concerts, events, and theater productions across the United States. It combines partnerships, curated inventory, and an app to keep last-mile access simple, reliable, and scalable.
As growth accelerates, the organization is standardizing and scaling processes. It operates remote across the U.S., South America, and Eastern Europe, prioritizing repeatable workflows, clear ownership, and systems that support rapid expansion without losing quality.
Challenges
As the platform scaled rapidly, legacy systems struggled to keep up with the demands of real-time analytics, data consistency, and operational agility.
Real-time bottlenecks
Legacy infrastructure introduced delays in delivering event-level insights, limiting the team’s ability to respond quickly to sales trends and inventory changes.
Manual reporting gaps
Revenue forecasts and inventory alerts were built manually in Excel, delaying critical decisions in a fast-moving ticketing environment.
Data inconsistency
Partner data arrived in mismatched formats with missing keys, making it hard to deliver reliable analytics and eroding stakeholder confidence.
Solution
We built a modern analytics foundation to unify data, improve reporting speed, and scale operations across 120,000+ live events.
Real-time data warehouse
Migrated legacy analytics to a high-performance warehouse that supported real-time insights, fast pricing decisions, and low-latency inventory tracking.
Live business dashboards
Replaced manual Excel workflows with live dashboards that visualize sales, forecasting, and performance metrics, optimized for cost and decision speed.
Flexible ingestion pipelines
Built a modular ingestion framework to sync data from fragmented platforms, automatically handle schema mismatches, and reduce reliability issues.
Scalable & cost-efficient infra
Introduced scalable infrastructure and automated deployment pipelines to support rapid iteration while keeping compute and storage costs in control.
Business impact
The new analytics foundation helped the client move faster, make smarter decisions, and scale operations with cost control.
Real-time operational insights
Delivered near real-time analytics across 120,000+ events, improving visibility into sales trends, demand, and inventory movement.
Scalable infrastructure for growth
Processed 1-10 GB of daily data through a modular system built to support ongoing scale, agility, and partner expansion.
Reduced platform costs
Lowered storage and compute expenses by optimizing usage and offloading logs, while cutting dashboarding costs by 30%.
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Hiren Dhaduk
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