---
title: "Success Story: Equities Leader Optimizes Execution Quality"
description: "Corvil optimizes execution quality by correlating trading transaction and trade-plant analytics."
type: "case-studies"
date: "2018-07-15"
source: https://www.pico.net/resources/trading-equities-leader/
markdown_url: https://www.pico.net/resources/trading-equities-leader.md
---

# Equities Leader Optimizes Execution Quality
## Challenge

### Extracting Big Insights From Big Data

- Limited transaction lifecycle analysis resulting from the complexity of both the trading infrastructure and the transactions themselves (e.g., a single block order generating 500+ transactions across multiple venues)

- Inability to correlate real-time trade-plant performance information with end-of-day reporting of customer outcomes made it impossible to make timely adjustments to protect execution quality and order flow

- The diversity of analyses required to support decision-making by various business stakeholders and clients

## Solution

### Correlated Trading Transaction and Trade-Plant Analytics

- 360-degree view of trading business health with a single screen that summarized [client execution](https://www.pico.net/products/corvil-analytics/) and performance across all orders, responsiveness of each venue

- Rapid identification of issues to enable action to salvage execution performance and to improve transparency to clients

- Ability to [analyze transaction lifecycle and outcomes by multiple dimensions](https://www.pico.net/products/corvil-analytics/), including customer, symbol, venue, trading session, trading volume, message types, time in force, etc.

- Detailed [venue performance profiles](https://www.pico.net/products/corvil-analytics/) (e.g., fill rate by value, volume, fulfillment lifespan) to improve routing decisions

- Full hop-by-hop transaction visualization to enable stakeholders to "see" and understand algorithmic interactions and reveal unexpected behaviors or order routing patterns

- Diverse set of business-specific analysis performed in support of various decision support use-cases

- Streamlined delivery of scheduled and on-demand reporting (e.g., execution quality correlated to venue performance)

## Results

### Improved Control Over Client Experience

↑ Execution quality

↑ Client transparency

↑ Responsiveness to client inquiries

↑ Business-aligned analysis

↓ Mean time to identify and mitigate execution quality risks

↓ Mean time to identify trade performance optimization opportunities