Organisations generate enormous volumes of data, but raw information is rarely actionable on its own.

Without structured analysis, patterns remain hidden, opportunities are missed, and decisions are delayed.

StableLogic turns data into insight, uncovering trends, anomalies, and opportunities. Our approach combines statistical rigour, visualisation, and interpretation to empower leaders with confidence and clarity.

Client Results (Update)

Hover over each case study to discover how we are helping clients transform their businesses through machine learning services.

Firstcom

 

telecommunications

Building the next generation of unified communications with Firstcom Europe

 

 

Firstcom Europe have grown rapidly in recent years, partly through acquisition.

As a result, data was held in multiple different databases, in different countries, and in completely different formats.
 
StableLogic delivered a project to give Firstcom insight into their business, their customers and their services.
 

danone-520x160-1

 

FMCG

Managing one of the biggest data network infrastructure roll-outs in the world with Danone

 

 

 

Danone engaged StableLogic to support the roll-out of their new data network infrastructure to over 700 locations globally.

Our data team developed advanced dashboards to manage the rollout, the business case commercials and the network performance before and after the project. As a result, Danone had detailed insight into their project and the positive impact it had across the organisation.
 

boston-scientific-logo-black-and-white-1

 

Medical

Extracting the secrets to enterprise-level cost savings from years of data with Boston Scientific

 

 

Boston Scientific engaged StableLogic to develop insights into their internal IT corporate devices.

StableLogic built detailed analysis, using multiple data sources, to provide visualisations to the client.
 
As a direct result of those dashboards, Boston Scientific were able to realise tens of thousands of dollars in savings.

Data analysis is the bridge between raw information and informed action.

StableLogic works across datasets to extract insights aligned with business goals. We structure and clean data, apply statistical techniques, and create visualisations that reveal trends and anomalies. The result is clear, actionable intelligence that drives strategic decisions and operational improvements across the enterprise.

1. Data Collection & Audit

We assess available data sources, ensuring completeness, relevance, and accuracy to build a foundation for analysis.

 
2. Data Cleaning & Preparation

We handle missing, inconsistent, or duplicate data, creating datasets that are trustworthy and ready for analysis.

3. Exploratory Analysis

Patterns, trends, and anomalies are identified through statistical and visual techniques to guide deeper investigation.

4. Model & Insight Development

We apply quantitative methods and predictive models to generate insights that directly inform business decisions.

5. Reporting & Visualisation

Findings are translated into clear visualisations and reports, tailored for decision-makers across the organisation.

6. Decision Support & Recommendations

We provide actionable recommendations and guidance, ensuring insights translate into practical business outcomes.

“Data analysis is powerful because it enables an organisation to finally see what’s really happening, make informed decisions, and act with confidence.”

Sajid Rasool

Data Analyst, StableLogic

Connect with the StableLogic Data Analysis team.

 


 

Oscar Zhang
Oscar Zhang

Product Manager

Anas
Anas Aslam

Cloud Engineer

Sajid Rasool
Sajid Rasool

Data Analyst

Ash Gittens
Ash Gittens

Cloud Engineer

⸻  FAQs 

What’s the difference between data analysis and BI?

Data analysis focuses on interpreting raw data for insight, while BI typically reports on metrics and trends; both complement each other.

What tools do you use for data analysis?

We use Python, R, SQL, and visualisation tools like Power BI and Tableau depending on client needs.

Can you analyse large datasets?

Yes, we scale methods and tools to handle large and complex datasets efficiently.

How do you ensure accuracy in analysis?

Through rigorous validation, cleaning, and testing to ensure insights are trustworthy and actionable.

What outcomes can clients expect?

Clients gain clarity on trends, informed decisions, operational improvements, and identification of new opportunities.