Predictive models that turn your data into decisions.
Fifty One Degrees builds and deploys predictive models that turn your data into decisions: lead scoring, churn, forecasting and pricing, in production within weeks.
Conversion Funnel
model live · 90 days
Why doesn’t your data drive decisions yet?
How does Fifty One Degrees build a predictive model?
What can Fifty One Degrees predict?
In-house hire, DIY tools, or Fifty One Degrees?
| Option | Trade-off |
|---|---|
| Hire an in-house data scientist | A senior hire and months to recruit before anything ships, and hard to retain for one team |
| DIY with off-the-shelf tools | Cheap to start, but generic models on messy data rarely move a number |
| Fifty One Degrees | Senior data scientists, a validated model deployed into your systems in weeks, your team trained to maintain it, you own the IP |
Data science in production
Who is this for?
A model is worth building when a recurring, high-value decision is still being made on instinct rather than evidence.
How does a data science engagement run?
Senior data scientists, proof-of-concept first. Payback is typically under 3 months, you own the IP, and your team is trained to maintain it.
Questions firms ask Fifty One Degrees about data science
Are there affordable data science solutions for small and medium-sized businesses?
Yes. Fifty One Degrees builds data science for the mid-market, with a validated model on your own data in weeks and payback typically under 3 months. You do not need an in-house data team: senior data scientists build it, deploy it into your workflow, and train your people to maintain it.
How do you deploy a model into the business, not just build it?
Fifty One Degrees ships the model into the workflow as batch or real-time scoring, writing scores into your CRM or operational systems, with MLOps monitoring, drift detection and a retraining schedule. The deliverable is a working prediction that changes a decision, not a notebook or a slide.
What does AUC mean, and what is a good score?
AUC measures how well a model ranks a positive case above a negative one: 0.5 is a coin toss and 1.0 is perfect, with most useful business models well above 0.7. Fifty One Degrees reports the validated figure from proper train/test and cross-validation, not a cherry-picked number.
Can you explain why a model scored a customer the way it did?
Yes. For regulated contexts Fifty One Degrees favours interpretable models and adds explainability such as SHAP values, plus an audit trail, so a score can be defended to a regulator or a customer.
Do we need clean data before you can start?
Not necessarily. If the data foundation is not there, Fifty One Degrees builds it first through its data engineering and BI work, then layers the models on top.
How long does it take, and how fast is payback?
A proof-of-concept-first engagement runs roughly seven weeks end to end (about two weeks discovery, three weeks build and validation, two weeks deployment), and payback is typically under 3 months because the model is proved on your real data before any full build.
Do you do data science for the energy and utilities sector?
Fifty One Degrees builds predictive models across sectors, including energy and utilities use cases such as demand forecasting and asset and customer analytics. The method is the same: models built on your data and deployed into the decision.
Is this the same as customer segmentation?
Segmentation is one application of data science. Fifty One Degrees covers the full range here (lead scoring, churn, forecasting, pricing), and has a dedicated page for customer segmentation and predictive targeting where it builds bespoke segments on your own data with the Living Segmentation Model, the owned alternative to Acorn, Mosaic and CAMEO.
Find the highest-value prediction in your business.
Book a 30-minute discovery call and we’ll find the highest-value prediction in your business, and scope it for you.