Hain Daniels Case Study
Hain Daniels Case Study
About the client
Founded in 1993, the Hain Daniels Group is one of the UK’s leading food companies. Covering the chilled, frozen, and ambient food and drink categories, the Group employs around 1,300 people across eight locations.
Included in the company’s diverse portfolio of “dawn to dusk” brands are the New Covent Garden Soup Company, the Linda McCartney’s range of vegetarian products, Hartley’s, Sun-Pat, and many more.
- Faster, easier, and more consistent analysis of key trading data.
- Deeper understanding of sales performance.
- Reallocation of resources onto higher value and more engaging tasks.
- Ability to predict and respond to issues with promotions and supply.
- Smarter and more collaborative relationships with retail customers.
The "aha" moment
Not every question needs a new answer. Sometimes, challenges have already been solved - even if you don’t always know it right away.
Such was the case for Jon Colby, Hain Daniels’ Data and Insights Controller who, in 2020 as the threat of COVID lockdowns resulted in panic buying, had become increasingly conscious of inefficiencies in the company’s analysis of flow-of-goods and sales data. “Access to the data wasn’t a problem,” he says. “We had no shortage of information from our retail partners. The issue was that collecting and analysing that data was painfully slow and time-consuming.”
In 2017, Hain Daniels signed up for SKUtrak, intending to use it for sales and category performance analysis across four major UK retailers. This was useful, but the platform was typically used to support reporting needs on an as-needed basis. Jon wanted to see if SKUtrak could be employed more systematically to help Hain Daniels' analytical challenge of reducing time to insights with much less effort.
A year later, he began using the DataShare platform for a single retail account. “It was a transformative moment,” he notes. “Until then, we’d been carrying out most of our analytical work within retailer data portals. With SKUtrak DataShare, we were able to take those datasets and very easily bring them to life with visualisations in Tableau. DataShare fundamentally changed the way in which we access, analyse, and use our data.”
Smarter decisions in less time
DataShare acts as a bridge between SKUtrak and a CPG’s own reporting tools, analytics platforms and enterprise business systems. From depot and store stock levels through to EPOS data and sales forecasts, DataShare combines the power of SKUtrak’s proprietary retail data model and the Snowflake® data cloud to provide direct access to mission-critical information and insights.
For Jon, the initial use of DataShare suggested Hain Daniels had only scratched the surface of the true value the platform could offer, especially as more metrics became available. "We suddenly found ourselves able to make important decisions much faster than before, saving a lot of time and effort along the way," he continues. “Naturally, we wanted to see what else was possible.”
Making room for insight
As important as all of these things have been for Hain Daniels, SKUtrak’s value goes far beyond just resource optimisation or faster decision-making. Instead, the platform has also given the company a deeper, richer understanding of its sales performance.
“The data itself only gives you part of the story,” says Karl Frestle, Commercial Director for Grocery at Hain Daniels. “And if you spend too long extracting and analysing it, there’s no room for insight. With SKUtrak, we actually have the time to sit down and think about what our information is telling us.”
Understanding the “why” behind Hain Daniels’ performance is a critical consideration for both Karl and Jon alike. While EPOS data and reports provided by third parties might give them insight into the brand’s day-in, day-out sales figures, that information is typically too shallow to offer much in the way of nuanced insight. SKUtrak, on the other hand, “allows us to infer the probable cause behind different issues”, says Karl.
“Every day, it gives us an incredibly granular view of what is happening at category level,” adds Jon. “That allows us to compare performance over different periods of time and understand the overall trends. More importantly, it helps us understand why things have happened and what’s likely to happen next, particularly in terms of predicting obstacles like compliance issues.”
Stronger, more collaborative relationships
Karl highlights one recent situation with promotions as an example of SKUtrak as a strategic enabler. “We had feature space in 300 stores with one of our retail partners, but we weren’t seeing sales uplift in the kind of volumes that we had been anticipating”, he explains. “That was in spite of the fact that we knew, from SKUtrak, that stock was definitely going into stores.”
“Before SKUtrak, we would have had to wait for the promotion to end before we even knew there was a problem,” he continues. “Instead, we were able to conclude that there was an issue with compliance oversight across the stores. That enabled us to have an informed conversation with the retailer as to what was going wrong. That’s incredibly valuable.”
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