Leading companies know their data is a goldmine of valuable information - the ones who succeed are the ones who can tap it.

Our data & BI consultancy practice turns raw data into clear, actionable insights that inform ground-breaking strategies.

  Make faster business decisions

 Obtain clarity from your business data

 Expose hidden opportunities

 Prepare your data for ML, BI & AI

 Reduce time & save money

 Unlock competitive advantage

Client Results

Hover over each case study to discover how we are helping clients transform their businesses through data analytics & BI consultancy.




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.




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.




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 consultancy

The process behind the power.

Discover how our BI, ML & data analysis consultancy service can uncover, extract, cleanse and present your data into something that transforms.

Data Discovery
Many clients seek to bring together multiple data sources in order to deliver an informed outcome. For example, analysing sales, billing, marketing and support data, can be useful in calculating the likely churn of a customer.
In a data strategy consulting project, the starting point is to analyse and understand the underlying data.
Our Data Discovery service includes:
- An audit of the current data sources
- Analysis of data quality and integrity
- Calculating data accuracy
- Validating how the data can be accessed
- Evaluating GDPR and other privacy requirements
- Identifying the potential benefits of the process and the likely accuracy
Before starting on a detailed and time consuming process we strongly recommend this initial assessment stage - it prevents errors and can significantly improve accuracy.
Data Cleansing
In today’s data-driven world, maintaining accurate and reliable information is crucial for business success. Quality data analytics and AI is dependent on good quality data.
Our data cleansing service ensures that your databases are free from errors, duplicates, and inconsistencies.
With our advanced algorithms and meticulous processes, we identify and rectify inaccuracies, improving data quality and reliability. Trust us to enhance your data assets, streamline operations, and make informed decisions.
Extract, Transform, and Load (ETL)
ETL is a standard industry process for collecting data from multiple sources, validating and normalising the data, and storing it in a data warehouse. Once the process is built, it can be used continuously to keep the data up to date.
Data from different sources often has challenges such as:
- Lack of a common reference to link the data
- Data in different formats, e.g. "Firstname Surname" or "Firstname", "Surname"
- Data missing or corrupted
- Duplicate data
- Redundant data
The process of building ETL allows all of these issues to be addressed to ensure that data confidence is high.
Reports, Dashboards & Visualisations
Data analytics is the process of accessing the data to allow business decisions to be taken. As a data & BI consultancy, we use major Business Intelligence (BI) tools such as Power BI and Granafa.
Our data analysis consultancy team work with our clients to bring the best visualisations to achieve the required business outcomes.
These tools transform raw data into meaningful insights, enabling our clients to make informed decisions. PowerBI for example, with its interactive visualisations and business intelligence capabilities, provides a comprehensive view of the most critical metrics for your business. It helps identify trends, patterns, and outliers in your data. This leads to improved operational efficiency, increased profitability, and better customer satisfaction.
Machine Learning (ML) Outputs & Process Integration
StableLogic’s ML capabilities are designed to help businesses unlock the potential of their data. We use advanced algorithms and models to analyse large volumes of data, identify patterns, and make predictions. This allows businesses to automate decision-making processes, improve operational efficiency, and gain a competitive edge.
StableLogic’s ML solutions are tailored to meet the unique needs of each client. They offer predictive analytics for forecasting future trends, natural language processing for understanding customer sentiment, and recommendation systems for personalised customer experiences.
StableLogic’s ML capabilities extend to various sectors, including finance, healthcare, retail, and more. They help businesses in these sectors to optimise their operations, enhance customer service, and increase revenue.
Typical projects include:
- Customer base analysis
- Predicting churn
- Identifying sales opportunities
- Image identification and classification
- Anomoly detection
As a data analysis, ML and BI consultancy, StableLogic provides end-to-end ML services, from data preparation and model development to deployment and maintenance. We also offer training and support to ensure clients can effectively use their ML solutions.
Data Security Management
Data security is a critical concern for all organisations. Deciding how to use data, where it is held and how it's processed are legal, ethical and technical considerations. We help clients consider the options, different approaches and industry best practice.
Where anonymised data or metadata can deliver the same results, we help clients to implement these, as part of the ETL process.
With over 30 years of experience in customer experience, our consultants can also advise on the best way to deliver on customer-focused outcomes.

"Data is the new oil, and Machine Learning is the refinery. Together, they illuminate the path to innovation and growth, turning the unknown into the known, the complex into the simple, and the unpredictable into the predictable."

Sajid Rasool

Data Analyst, StableLogic

Connect with the StableLogic Data Analytics, ML & BI Consultancy team.



Craig Robinson
Craig Robinson


Oscar Zhang
Oscar Zhang

Product Manager

Joel Barnett
Joel Barnett


Sajid Rasool
Sajid Rasool

Data Analyst

⸻  FAQs 

What is Data Analytics?

Data Analytics encompasses the process of examining large datasets to uncover valuable insights, trends, and patterns. Through techniques such as statistical analysis, data mining, and machine learning, organisations can derive actionable intelligence from their data. These insights can be used to improve operational efficiency, enhance customer experiences, and drive innovation. Ultimately, Data Analytics empowers businesses to make informed decisions and gain a competitive edge in today's data-driven world. As a data analysis consultancy, we offer premium services to help you cleanse, organise and fully leverage the potential of your data.

How can Data Analytics help in understanding customer behaviour?

Data Analytics can help in understanding customer behaviour by analysing large volumes of data, such as purchase history, website interactions, and demographic information. This analysis reveals patterns and trends, allowing businesses to tailor their marketing strategies, improve product offerings, and enhance customer experiences based on insights derived from customer behaviour data.

How can Data Analytics be used to optimise business processes?

Data Analytics can optimise business processes by analysing operational data to identify inefficiencies, bottlenecks, and areas for improvement. This analysis enables businesses to streamline workflows, enhance productivity, and reduce costs by making data-driven decisions to improve the efficiency and effectiveness of their operations.