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.

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.

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.

Our client needed an objective assessment of their data engineering stack in order to mitigate risks created by staff turnover, improve institutional knowledge, embed best practice into the rebuild of the data architecture, scope future phases of data engineering work.

A high-street clothing retailer wanted an analytical toolset to allocate digital marketing spend across multiple channels to maximise their return on investment on advertising spend. Our tool reduced CPA by 10% whilst growing profitable acquisition.

A UK high-street retailer wanted to drive incremental growth in email revenues and increase customer retention.

A fast-growing cloud software business had developed an in-house KPI dashboard to monitor sales performance and customer success, however the process to manage and update the dashboard was manual and time-consuming.

For a leading UK supermarket we developed a model to help estimate the location of vegan population and then recommend ranging adjustments at the store-specific level.

For a leading UK supermarket QuantSpark developed a best-in-class macro space recommendations platform.