Data Analytics & Predictive Modelling for Irish Businesses
You're already collecting data — production logs, quality scores, sensor readings, sales history, batch records. The question is whether that data can predict outcomes, reduce waste, or improve decisions. In most cases, it can.
Data analytics, predictive modelling, and machine learning consulting for Irish businesses. We take historical business data — production records, quality measurements, operational logs — and use statistical analysis and machine learning to identify patterns, predict outcomes, and support better decisions. It turns data you already collect into evidence you can act on.
What This Service Covers
We analyse your data to answer specific business questions — practical data science consulting, not generic dashboards.
Not a generic dashboard project. Every engagement starts with a concrete question: "Can we predict quality from production data?", "Which variables drive yield variation?", "Can we forecast demand more accurately than our current method?"
We build predictive models and working tools — not slide decks.
Deliverables include statistical analysis, feature importance rankings, trained ML models, and a working prototype tool your team can use. Everything is documented for technical and non-technical stakeholders.
We're honest about what data can and can't do.
If the analysis shows your data doesn't support reliable prediction, that's still a valuable finding — it saves you from investing further in the wrong direction. We sell decision-grade evidence, not guaranteed outcomes.
Senior-led, fixed-price, grant-funded where eligible.
Barry Gough (COO, 20 years enterprise technology) leads every engagement with a specialist data science team. Most projects qualify for Enterprise Ireland or LEO grants covering up to 50% of costs.
What You Receive
Clean Data Schema — Your raw data restructured into a format designed for analysis and reuse. Built to accommodate future data without repeating the preparation work.
Statistical Analysis & Correlation Matrices — Comprehensive analysis showing which variables correlate with your target outcomes. Reveals which measurements matter and which add no predictive value.
Feature Importance Rankings — A ranked list of which factors drive your outcomes most. Identifies the attributes that matter and highlights data you could stop collecting.
Predictive Models — Trained machine learning models (XGBoost, Random Forest, Explainable Boosting Machines) evaluated using cross-validation. Models include SHAP explainability so you understand why each prediction is made.
Working Prototype Tool — An interactive application where your team inputs data and sees predicted outcomes with explanations. Not a research paper — a tool you can use.
Technical Report & Executive Summary — Full documentation covering methodology, results, insights, and recommendations. Written for both technical and board-level stakeholders.
Industries and Use Cases
We work with established businesses (typically 10+ employees) across manufacturing, food production, engineering, construction, retail, logistics, and professional services. AI for manufacturing and food production is a particular strength — see our predictive quality case study below. Common use cases include:
Predictive Quality
Predict finished product quality from production data. Identify which process variables drive quality variation.
Yield Optimisation
Find the factors that separate high-yield from low-yield batches. Reduce waste and giveaway.
Demand Forecasting
Predict customer demand using historical sales, seasonality, and external signals. Reduce overstock and stockouts.
Anomaly Detection
Flag products or processes likely to fail quality checks before they reach testing. Catch problems at the source.
Process Optimisation
Identify which operating parameters produce the best outcomes. Move from gut feeling to evidence-based settings.
Predictive Maintenance
Predict when equipment or components will need servicing based on operational data. Reduce unplanned downtime and extend asset life.
Customer Analytics
Segment customers, predict churn, identify cross-sell opportunities from transaction data.
See This in Action
Predictive Quality Analytics for a Leading Irish Food Manufacturer
We analysed production data to identify which attributes drive product quality — and built a working prediction tool.
Read the full case studyWe also deliver data analytics projects in construction, engineering, retail, and logistics. See all case studies →
How a Data Analytics & Machine Learning Engagement Works
Data Preparation
We audit your data for quality, clean it, and engineer features from raw measurements. This is the foundation everything else is built on.
Statistical Analysis
Correlation matrices, quartile analysis, and exploratory modelling. We identify which variables matter and which don't.
Machine Learning
We train and evaluate multiple model types, validate using cross-validation, and apply SHAP analysis for explainability.
Delivery
Technical report, executive summary, and a working prototype tool. Everything packaged for both your technical team and your board.
Most engagements take 3–6 weeks. The timeline depends on data complexity and the number of questions being investigated. See our full process →
Not sure if analytics is the right starting point? Our AI Consulting service includes a €1,250 Discovery assessment that scopes whether data analytics, custom software, or a different approach is the best fit for your business.
Need to turn models into a production system? Our Custom AI Software service builds on analytics deliverables — turning prototype models into full web applications, dashboards, or API integrations your team uses daily.
Investment
Data analytics engagements are fixed-price. You know the cost before you start.
| Engagement Type | Typical Range | What's Included |
|---|---|---|
| Focused analysis | €15,000 – €20,000 | Statistical analysis, feature importance, technical report |
| Full predictive project | €20,000 – €35,000 | Everything above + ML models, SHAP analysis, working prototype |
| Extended engagement | €35,000 – €40,000 | Everything above + extended modelling, sampling protocol, Phase 2 scoping |
The Commercial Case
A 2% improvement in yield on a €5M production line saves €100,000 per year — paying for a €20,000 predictive model in under 3 months. A 1% reduction in quality failures on a 350-product range compounds across every batch. These are the economics that make data analytics a business investment, not a cost.
Most projects qualify for Enterprise Ireland or LEO grants covering up to 50% of costs. See our complete grants guide →
All engagements start with a free 20-minute call to understand your data and whether predictive analytics is the right approach.
Not sure if your data can support predictive analytics? Our AI Consulting service includes a Discovery assessment from €1,250 (after Enterprise Ireland grant funding) that scopes whether data analytics is the right investment for your business.
Why Deep Purple
Senior-Led Delivery
Barry Gough (COO, 20 years enterprise technology, MSc Machine Learning) leads every engagement. Our data science team includes experienced ML engineers and applied statisticians — not junior analysts.
Honest About Outcomes
We sell decision-grade evidence, not guaranteed predictions. If the data doesn't support a hypothesis, we tell you. That saves you from investing further in the wrong direction.
Practical, Not Academic
Every deliverable is designed for business use: prototype tools for your team, executive summaries for the board, clean data schemas for ongoing analysis. Not a research paper that sits on a shelf.
Minimal Disruption
Most engagements require less than 8 hours of your team's time across 3–6 weeks. We work from exported data — no factory floor access, no system integrations, no IT overhead.
Data Security
All client data is processed within the EU/EEA on secure infrastructure. Your data is never used to train public AI models. All data is returned or securely deleted at project completion per our standard data handling agreement. We work from exported copies — no direct access to your production systems.
Frequently Asked Questions
Have Data You're Not Using?
A 20-minute call to understand your data and explore whether predictive analytics could help your quality, yield, or operations.
Or email us at hello@deeppurple.ai
Want to understand the process first? See how we work →
About Barry Gough
COO, Deep Purple AI Consulting
Barry Gough is the COO of Deep Purple AI Consulting. With an MSc in Computer Science from University College Dublin — where machine learning was a core focus of his studies — and over 20 years building production software systems, Barry brings formal ML training and deep hands-on engineering experience to every AI and data analytics engagement.
Barry completed his masters at UCD in 2011, studying ML algorithms, statistical modelling, and data-driven systems at a pivotal moment — just as big data techniques were maturing and deep learning was about to transform the industry. At Purpledecks (Deep Purple's predecessor consultancy), he spent nearly a decade progressing from Senior Developer to Head of Operations, leading the technical delivery of enterprise projects that increasingly incorporated machine learning, computer vision, data classification, predictive features, and recommendation engines for commercial clients across Ireland and the UK.
In 2023, as CTO of Reactable AI, Barry architected and built an autonomous AI marketing engine from the ground up — a self-learning system that generates and optimises marketing campaigns across channels. This was one of Ireland's earliest production deployments of autonomous AI agents, requiring him to design systems where AI made real decisions with real consequences.
At Deep Purple, Barry leads all technical delivery — AI system architecture, machine learning model development, data pipeline engineering — and manages a team of PhD-level data scientists. His combination of formal ML education, a decade of incorporating AI into commercial projects, and hands-on experience architecting autonomous AI systems means clients work directly with a technical lead who can make genuine engineering decisions about AI.
Deep Purple AI Consulting (deeppurple.ai) is an AI consultancy and custom software development company based in Ireland, serving clients across Ireland, Northern Ireland, and the UK. We help established businesses identify where AI can make a real difference, then build the systems to make it happen. Senior-only delivery. Grant-funded where possible. No hype.
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