Data & analytics for retail
One version of stock, sales and customer - across stores, web and head office
Retailers don't lack data, they lack agreement. Stores, ecommerce, ERP, marketing and finance each hold a different version of the truth. A good data partner makes those numbers agree and gets them in front of trading in time to act.
Looking at the bigger picture across IT support, cyber, AI and digital transformation? See the full retail technology overview.
Why it matters
Data & analytics in retail earns its keep when it joins the business together
Trading decisions move fast and the cost of getting them wrong is immediate. Stock, sales velocity, margin and customer behaviour all need to be available daily, not monthly, and they have to match across the channels.
A clean data layer also unlocks the next decade of retail. Personalisation, demand forecasting and allocation models all assume the data underneath them is right. Without that, AI in retail stalls quickly.
What the work covers
What data and analytics looks like in a retail business
Stock and sales joined across channels
EPOS, ecommerce, warehouse and ERP feeding one stock and sales picture, refreshed in time for trading.
Customer data unified for marketing
A clean customer record across CRM, ecommerce and loyalty, ready for personalisation and CRM campaigns.
Demand forecasting and allocation
Forecasts tied to live sales, weather, promotion calendars and stock position - not last year's pattern.
Power BI reporting trading acts on
Daily trading packs, margin and exception reports that the buying and ops teams actually open.
What needs to be in place
The foundations a retail data partner expects to see
A platform sized for retail volume
Microsoft Fabric, Snowflake or similar, designed for trading peaks and the cadence retail actually runs on.
Definitions agreed once
Sales, margin, returns and customer all defined with finance, trading and marketing in the room.
Marketing data with consent at the centre
Consent, preferences and ICO posture baked into the customer data layer, not bolted on.
Reporting ownership inside the business
Trading and finance own the numbers, the partner builds and maintains the pipe.
What good looks like
A partner who has done this in retail before saves you the first year of learning
A retail-savvy data partner starts on the trading floor, not in the platform. They'll get sales, stock and customer joined up first, build the daily trading pack everyone trusts, and then turn the foundation toward forecasting and personalisation.
Peak trading is calmer because the numbers agree. Buying, marketing and finance start working from the same picture, and the next AI conversation has a real data layer to plug into.
Outcomes you should expect
- One trusted view of stock and sales across channels
- A daily trading pack buying and ops act on
- A customer data layer marketing and CX can use
- A foundation forecasting and personalisation can build on
Tell us how many stores you run, which EPOS and ecommerce you use, and where reporting falls down today. We'll match you with a UK partner that already does this for retailers.
Get matchedLooking for a data & analytics partner for your retail business?
We'll match you with a UK partner that already does this for retail firms - no cold calls, no fee to you.