---
title: "Success Story: Non-Bank Liquidity Provider Optimizes Tick Delivery for Improved Execution"
description: "Corvil's insights improves market data quality and trade plant performance for improved trading effectiveness."
type: "case-studies"
date: "2019-05-22"
source: https://www.pico.net/resources/non-bank-liquidity-provider/
markdown_url: https://www.pico.net/resources/non-bank-liquidity-provider.md
---

# Non-Bank Liquidity Provider Optimizes Tick Delivery for Improved Execution
## Challenge

### Market Data Delivery Across a Complex, Global Environment Impacting Execution

- Lengthy timeframes to identify, diagnose, and address market data feed delivery issues

- Inadequate visibility across changing applications to support efficient infrastructure operations and to prioritize optimization efforts

- Lack of precise visibility and analysis required to assure service of ultra-low-latency environment

- Opportunity cost of dedicating significant resources to develop visibility, analytics and collaboration capabilities required for proactive oversight

## Solution

### Analytics to Optimize Market Data Delivery Infrastructure

- Automated discovery, decoding and analysis of the firm's Informatica Ultra Messaging environment

- Insight into [market data](https://www.pico.net/products/corvil-analytics/market-data-analytics/) gaps and other quality issues across all incoming third-party feeds

- Highly granular [network performance and capacity utilization](https://www.pico.net/products/corvil-analytics/network-analytics/) insights to optimize data delivery, even during dynamic market conditions

- Intuitive [network capture](https://www.pico.net/products/corvil-analytics/network-capture/), profiling, analysis, filtering, and search workflows that minimized analysis time and effort

- Analytics-driven workflows for rapid problem identification, isolation, and resolution

## Results

### Improved Delivery and Execution Performance

↓ Risk of stale or gapped market data

↓ Mean time to identify and resolve issues

↓ Business impact of technology issues

↑ Operations staff productivity

↑ Data reliability during dynamic periods