Data Science Methodology for Manufacturing Operations

A smarter process for 
smarter machines.

Spur’s Proven Process for Delivering Industrial AI at Scale

The Go/No-Go Difference:
Decide Early. Save Months.

Most Data Science projects drag on with vague goals and uncertain results. At Spur Insights, we do it differently—bringing clarity and speed from the start. Within weeks, we validate whether a problem is technically solvable and worth solving. If it’s not, we’ll tell you. If it is, we build it right.

Days to Weeks
Discovery
Explore

Assess data, model behaviors and confirm business value.

Get a clear decision on whether to proceed-based on technical feasibility and real business value.

Go/No-Go Moment
Typically 3-6 months
Development & Productisation
Modeling

Preprocess data, explore key patterns, and build the best-fit model.

Insight Generation

Uncover anomalies, quantify efficiency, and identify root causes.

Scale & Deploy

Expand across machines, integrate systems, and fine-tune for growth.

Why our process works:

Our approach isn’t just fast-it’s grounded in reality. We start with a hypothesis and
stress-test it in a structured Discovery phase, so you’re never betting on guesswork. If we
don’t believe a solution will work, we say so-before you waste time or budget.

  • Combine world-class Data Science with deep manufacturing experience
  • Collaborate directly with your engineering teams
  • Use a standardized Discovery approach to eliminate false starts
  • Only move forward when real value is clear.

Ready to move forward
(but only when the value is real)?

Let’s start with a short, structured Discovery and see what’s possible.