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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.
Improved forecasting and automated regulatory reporting: two simple use cases for analytics that drive impact within Financial Services
Profile Financial services as an industry is a comprehensively regulated with a high reporting standard that must be met as part of the ordinary course of business. The larger the institution, the...
Data pipelines for financial services: choosing the right tool
QuantSpark has extensive experience working with clients in financial services. Typically, their investment teams live in Excel – a manual and time-consuming practice out of step with modern tools....
Finding the right expert: Helping a leading retailer hire an effective Senior Data Analyst
In this case study, we show 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...
Cruising to growth: Uncovering £25m in potential lost revenue
Partnering with an international duty free retailer, QuantSpark identified almost £25 million in revenue at risk within its cruise division caused by historical pricing complexities and conflicts....
Predicting renewals and reducing churn at scale
Effective churn management can be a million dollar lever to driving growth and maintaining margin. Here is how QuantSpark helped a cyber security software business on a clearer path to customer...
Deploying advanced engineering to drive process improvement
In the fast-paced world of financial services, timely and reliable data can make all the difference in gaining a competitive edge on investment opportunities.
Predictive churn algorithm helps plastics manufacturer prioritise CRM engagement
Profile A major multinational plastics packaging manufacturer serving customers in a range of sectors including pharmaceuticals, food packaging, labels, and others.
Unleashing AI to transform investment management
How QuantSpark primed a global investment manager to transform their operating module: ensuring their data readiness to benefit from Large Language Models
Building data cubes for SaaS clients on subscriptions, product usage, and marketing
Profile The client was a private equity backed SaaS company that provides remote access software to businesses. Their product range includes desktop access and IT support across various pricing tiers.
Customer segmentation analytics suite improves probability of converting users by 30%
Profile A nanny matching service for employers (think AirBnB for nannies) with minimal data engineering and business performance analytics.
Validating an investment PE-backed SaaS business’s buy-and-build strategy
Profile The client was a private equity owned B2B SaaS company which had pursued a buy-and-build strategy: buying up smaller but fast-growing rivals to integrate them into a larger conglomerate....
Marketing budget allocation tool reduced CPA by 10%
Profile A high-street clothing retailer specialising in womenswear.
Data engineering diagnostic and roadmap prioritisation
Profile A B2B switching service for energy, telecoms, and insurance in the process of growing its internal data analytics team.
Developing a macro space recommendations system
Profile One of the UK’s leading supermarkets.
Machine learning improves sales forecast by 30% for orthopaedics supplier
Profile PE-backed orthopaedics and healthcare product supplier serving hospitals in a range of international markets.
Lead scoring propensity model drives 20% increase in conversion for business comparison service
Profile PE-backed B2B price comparison and switching service across a range of areas including electricity, gas, insurance, and telecoms.
Utilising existing data and technology to streamline decision-making for asset management
Profile The client is an ESG-focussed asset manager with a global portfolio and multiple funds. The client has a sophisticated internal data environment but maintaining and updating legacy tools...