BUILT PREDICTIVE MODEL FOR A LEADING INVESTMENT FIRM IN WHOLESALE POWER MARKETS

CASE STUDY

TEST AUTOMATION FOR DATA INTEGRITY

streamline

A quantitative investment firm classified as the best proprietary trading firm steps up its decision-making game with the help of Zuci’s test automation framework focused on data integrity.

TEST AUTOMATION FOR DATA INTEGRITY

streamline

A quantitative investment firm classified as the best proprietary trading firm steps up its decision-making game with the help of Zuci’s test automation framework focused on data integrity.

Problem Statement

The client is a leading proprietary trading firm with offices across the UK and USA. Thoroughly backed by high-end technologies, the client team leverages various data structures, algorithms, and cloud-based systems to deliver analytics quickly to their trading team.

With expertise in trading and technology, the client’s next goal was to build predictive models, optimization engines, and other quantitative tools to help their trading team make smart decisions.

This is when the client turned to Zuci to help validate data sets used by the trading teams for better decision making, identify data anomalies and to improve their overall QA efficiency.

BUSINESS GOALS

Streamline capturing and matching of supplier invoice data such as purchase orders or supplier master data

Faster account reconciliation by automating data transfer, manage minor decision-making and troubleshoot inaccuracies

Substantially improve compliance, thus saving multiple error costs

Improve supplier relations with shorter invoice cycle

Smooth financial closing and reporting

BUSINESS GOALS

Streamline capturing and matching of supplier invoice data such as purchase orders or supplier master data

Faster account reconciliation by automating data transfer, manage minor decision-making and troubleshoot inaccuracies

Substantially improve compliance, thus saving multiple error costs

Improve supplier relations with shorter invoice cycle

Smooth financial closing and reporting

HOW ZUCI SYSTEMS HELPED

app module

Post requirement gathering session and ascertaining test suites, test engineers at Zuci viewed our in-house test automation framework for machine learning to be a good fit. Zuci’s Test Automation solutions for complex applications was a propelling factor.

HOW ZUCI SYSTEMS HELPED

app module

Post requirement gathering session and ascertaining test suites, test engineers at Zuci viewed our in-house test automation framework for machine learning to be a good fit. Zuci’s Test Automation solutions for complex applications was a propelling factor.

Setup an in-house test automation framework in continuous testing mode to resolve data challenges

Helped improve bid accuracy by providing the right set of data related to power generation, cost, and consumption

Early detection of defects with daily and extended regression suites

SOLUTION

SOLUTION

Setup an in-house test automation framework in continuous testing mode to resolve data challenges
Helped improve bid accuracy by providing the right set of data related to power generation, cost, and consumption
Early detection of defects with daily and extended regression suites

TECH STACK

apache
conluence
se
jenkins
maven

TECH STACK

apache
conluence
se
jenkins
maven

Improved progress in decision making due to data integrity

Automation framework helped in processing extensive data in a short time

Customizations built on top of the automation framework for client helped in bidding

“Playing with numbers has always both puzzled & amazed me. This time we had to spend a lot of time defining and redefining the problem. At the end, writing the algorithm was a cakewalk!”

– Anil Kumar, Head of Technology

OUTCOME

OUTCOME

Improved progress in decision making due to data integrity

Automation framework helped in processing extensive data in a short time

Customizations built on top of the automation framework for client helped in bidding

“Playing with numbers has always both puzzled & amazed me. This time we had to spend a lot of time defining and redefining the problem. At the end, writing the algorithm was a cakewalk!”

– Anil Kumar, Head of Technology

MAKE SMART DECISIONS WITH INSIGHTS AND A CUSTOMIZED TEST AUTOMATION FRAMEWORK.
GET IN TOUCH WITH OUR DATA SCIENCE EXPERT TO KNOW MORE