Book a discovery call. Ring 0113 496 0721 or email hello@northlight.example, Mon–Fri 9am–5.30pm, and tell us which buying decision you would like a better number for.

Northlight Analytics | Retail data consultancy, Leeds

Q: Which tools do you build in?

Looker and Power BI for dashboards, and BigQuery for the data warehouse underneath. We are a Google Cloud Partner.

Q: How do you handle our data?

Northlight Analytics has been ISO 27001 certified since 2024, the international standard for managing information security.

Q: What does the 23% figure actually mean?

It is a 23% average forecast error reduction, average across 11 forecasting projects 2023–2026, by our own count. It is an average across past projects, not a guarantee for yours.

Q: Will we be tied to you for good?

Not if you don't want to be. Analytics training for in-house teams is one of our five services, and the aim is that your people can run the models themselves.

Data and analytics consultancy for mid-sized retailers · Leeds

Dashboards nobody reads0 numbers

Retailers drowning in dashboards nobody reads. We build the two numbers that actually change a buying decision. Then we teach your team to run them.

Book a discovery call See what we build

Leeds, West Yorkshire · Since 2019

Most mid-sized retailers are not short of data. They have a dashboard for every department and a report for every meeting. The buyer still plans the season on instinct, and the finance director still asks which number to believe.

An empty oak table against whitewashed brick in soft daylight

×

Northlight Analytics starts from the decision, not the data. We build the two numbers that actually change it, put them where buyers and finance directors already look, and teach your own team to run them.

Book a discovery call

Drag a spine, or tap one to read it

01Demand forecasting

02Customer value

03Dashboards

04Data warehouses

05Team training

01 — Retail demand forecasting

Demand forecasting

Retail demand forecasting your buyers will use when they plan a season. The figure we quote: a 23% average forecast error reduction, average across 11 forecasting projects 2023–2026.

Forecasting
Buying

02 — Lifetime value modelling

Customer value

Customer lifetime value modelling: which customers are worth keeping, and what each is worth over time. A number a finance director can take into the room.

Customer value
Finance

03 — Looker and Power BI

Dashboards

Dashboard builds (Looker, Power BI) that carry the numbers behind a decision and leave the rest out. Fewer screens, each one with a job.

Looker
Power BI

04 — Set up on BigQuery

Data warehouses

Data warehouse setup on BigQuery, so the numbers behind your forecasts come from one place. We are a Google Cloud Partner.

BigQuery
Google Cloud

05 — For in-house teams

Team training

Analytics training for in-house teams. The aim is a handover: your people run the models themselves, with no retainer that never ends.

Training
Handover

Two figures, with sources

Two figures, each with its source. 34 clients is our CRM count. 23% is the average across 11 forecasting projects 2023–2026. An average, not a promise.

0Clients, by our own CRM count

0^%Average forecast error reduction

0People on the team

How a project runs

Four steps, in this order. We begin with the decision you need to make and end with your team running the numbers without us.

Listen= The decision

We start with the buying and finance decisions you make each season, then agree the two numbers that would change them.

Model= Forecast, value

Retail demand forecasting and customer lifetime value modelling, built on data held in one place on BigQuery.

Show= Dashboards

The numbers go into Looker or Power BI, in front of the buyers and finance directors who make the call.

Hand over= Your team runs it

Analytics training for in-house teams, so your people run the models themselves instead of keeping us on forever.

The decision

Your team runs it

Their forecast cut our overstock on outerwear by a fifth in the first season. More importantly, our buyers actually trust it.

Tom AveryHarrogate · February 2026

The team

Team of 9 — analysts, two data engineers, one designer. Led by Priya Raman. Established in 2019, based at Round Foundry on Water Lane in Leeds.

Red brick and cast iron in a Leeds courtyard at dusk

Round Foundry, Water Lane, Leeds

2019Northlight Analytics established in Leeds, West Yorkshire.

2024ISO 27001 certified since 2024.

Today34 clients, a Google Cloud Partner, a team of nine.

Priya Raman

Owner

Leads Northlight Analytics and its team of analysts, data engineers and a designer, from Round Foundry in Leeds.

What buyers and finance directors tend to ask first. If yours is not here, ring 0113 496 0721.

Ask us something else

Who do you work with?

Mid-sized retailers, and usually their buyers and finance directors rather than a data team. We write in plain English because the people using the numbers are not data scientists.

Which tools do you build in?

How do you handle our data?

What does the 23% figure actually mean?

Will we be tied to you for good?

How do we start?

Discovery calls

Tell us which buying decision you no longer trust the numbers for. We will listen, ask a few questions, and tell you plainly whether two numbers could help.

Call0113 496 0721

Emailhello@northlight.example

Find usRound Foundry, Water Lane, Leeds LS11 5WH

Talk to the team

Ring us, or write

A discovery call is a conversation about one decision: what you buy, how much, and when. Call or email and we will find a time.

Call 0113 496 0721 Email the team

Mon–Fri 9am–5.30pm

Two numbers.Better buying.

Dashboards nobody reads

Buyers×Numbers

We build the two numbers that actually change a buying decision.

What we build