Resources
Case studies
Forecasting Sushi Demand: How QuantSpark Identified a $25M Opportunity for a Supermarket Sushi Retailer
QuantSpark was asked by a Private Equity fund to provide an in-depth assessment of sushi retailer’s forecasting process. In doing so, we identified value-creation opportunities of up to $25M in yearly profit achievable through a 12-month roadmap.
Billing Transformation: Harnessing Generative AI and OCR Tools for Revenue Optimisation
How QuantSpark identified high-value complex processes for a global travel logistics firm revealing millions of dollars in untapped revenue. QuantSpark leveraged the latest technologies in Generative AI along with the power of Optical Character Recognition to transform a client’s billing process.
Transforming the daily reconciliation process for asset managers through automation
Daily Reconciliation Processes are crucial for asset management firms needing to establish their positions. Here is how QuantSpark helped one firm automate this otherwise manual task: speeding up processes and reducing errors.
Delivering a bespoke, onsite data strategy for a global investment firm
How QuantSpark helped an ESG focused global investment management firm create value via an on site Data Strategy Secondment.
Cruising to Growth: Uncovering £25 Million in Potential Lost Revenue
How QuantSpark Talent supported the in-house recruitment team of a leading UK retailer, combining our insight into the analytics sector with our expertise in sourcing talent to find the right senior data analyst.
Finding the Right Expert: Helping a Leading Retailer Hire an Effective Senior Data Analyst
How QuantSpark Talent supported the in-house recruitment team of a leading UK retailer, combining our insight into the analytics sector with our expertise in sourcing talent to find the right senior data analyst.
Predicting Renewals and Reducing Churn at Scale: A Case Study
Effective churn management is million dollar lever to driving growth and maintaining margin.
Deploying advanced engineering to drive process improvement
How a leading asset management firm worked with QuantSpark to define a data engineering solution that would revolutionise the way the firm handled its data.
Sizing a £18m opportunity to automate a Big-4 UK Supermarket’s clearance process
Predictive analytics can make a big difference to a company’s revenue by delivering cost savings through efficiency and from the benefits of applying a more strategic approach. This case study shares the findings of a recent diagnostics project we undertook for a large national supermarket chain that asked us to look at its discounted stock reporting for an initial proof-of-concept model.
Improved forecasting and automated regulatory reporting: two simple use cases for analytics that drive impact within Financial Services
Predicting future performance with accuracy is a time-consuming but necessary part of managing any business. For asset managers, they also have to ensure the same accuracy is applied to their own fee calculations. Automation can dramatically improve the efficiency of both process.
Data pipelines for financial services: choosing the right tool for the job
Building a reliable data warehouse requires selecting the right tool to suit the job. In this recent case study, QuantSpark explored how best to create data pipelines in a cost effective and sustainable manner