Capability Assessment

Data Science & Analytics

We create growth opportunities for our clients by helping them to create competitive advantage and enabling them to better understand their data with more meaningful insights uncovered by our data science solutions.

Descriptive Analytics

Understand the drivers of performance and behaviours across the business. Identify the critical points in the customer journey and how to optimise. 


Make the proposition and experience more targeted, relevant and profitable. Reduce the frequency of communications whilst enhancing response rates. 



Model future sales and demand for products and services. Use this to inform operations planning and help de-risk future spend commitments, such as media.



Gain an edge over the competition. Optimise spend, identify next best product and those most likely to respond to a deal. Focus retention spend on customers most likely to churn. 

Data Science Analytics Services

Organisations are constantly collecting more data from physical store transactions and digital commerce platforms, to social media channels and connected devices. Data holds a wealth of information about a business and with the right data science solutions this has the potential to create impactful insights to create growth.


As a core pillar within the analytics layer of businesses, our data science analytics services and expertise find meaningful patterns in data that form the basis of our clients business models.  With data science and analytics we decipher detailed patterns in customer behaviour, support product targeting, uncover operational inefficiencies and best areas for investment, which are backed by expert, actionable, data-driven recommendations.

Analytics Layer.webp

Data Science Solutions

Supporting clients across retail, travel, financial services and B2B, we put data to work to embed data science & analytics into their strategy.  Our data science & analytics practise combines experience and problem solving with the latest in data science techniques and tools. 

Descriptive Analytics

Descriptive Analytics

Using expert data aggregation and data mining techniques, our descriptive analytics solutions consider historic trends and patterns of behaviour.  With the support of our experienced Client Partner Teams, we analyse and explore business performance to surface issues and uncover the truth behind business inefficiencies, across all industry sectors and business functions.  With this insight, our data analysts support in the creation of robust, strategic and operational decision-making to deliver increased effectiveness and efficiency for the future.

With a greater understanding of customers, employees and stores, businesses are enabled to act more strategically and tailor their products, propositions and marketing efforts to achieve greater ROI.  A uniform approach to segmentation ensures continuity across all business functions, aligns the business internally to make the customer experience more targeted, relevant and profitable, and drives efficiency by reducing the frequency of marketing communications, whilst enhancing response rates.  Using clustering algorithms, we uncover patterns and similarities in data sets to create strategically focused segments, which allow more bespoke experiences based on known behaviours and preferences.

Predictive modelling

While descriptive analytics and historic data analysis provides rich insights into the preferences of customers and underpins the business proposition, this is further brought to life when the predictive capabilities of data are harnessed.  Leveraging frontier technologies and artificial intelligence techniques, we model behaviour and forecast future sales and demand for products and services that is used by our clients to inform operations planning and helps to de-risk future spend commitments, such as media. Predictive modelling becomes a cornerstone of our clients’ strategies as they are enabled, by our data science solutions, to make better-informed acquisition strategies, enhance customer experiences, and remove uncertainty from business decisions.

Machine Learning

Utilising the power of machine learning and other artificial intelligence techniques, our data science and analytics solutions embed automation in our clients' businesses to drive data transformation.  Our clients gain a competitive edge, by understanding where to optimise across all areas of the business including managing customer churn/attrition, recovering abandoned baskets to deliver optimised and increased sales and identifying customers who will respond to product deals or alternative products, all while acknowledging the ethical challenges of bias in AI.

Machine Learning

When considering whether to implement data science vs data analytics or a blend of the two, our approach is to always ensure its ability to transform and scale with impact and that our clients feel supported in their journey to becoming data-driven.


Importantly, all of our data science and analytics solutions are driven by our people. Our specialist consultants and world-class data engineers, scientists and analysts come from all walks of life; from as far afield as NASA to our homegrown experts. This means when you meet people from the team at Beyond Analysis you will find that everybody has a very different and sometimes unusual background or stepping off point of the career. 


Whether they have started out as a Neuro-Scientist, a mathematician or quite humbly as a generalist business grad from a regular university or college, they all share a common purpose and deeply ingrained sense of curiosity and a passion for finding a solution to a problem and are known globally for delivering innovative and impactful solutions, for some of the world's greatest brands.


While the circumstance of every client is different, all of our data science and analytics solutions follow a pragmatic, problem-solving based approach of five phases.  This tried and tested approach, ensures clarity in the project's purpose, identifies any limitations relating to data quality/availability and implementation is understood cost-effectively and efficiently.

​This starts with the identification of opportunities, the data and the methodology to quickly delivering solutions that can be quickly put to work to assess their effectiveness to ultimately become highly actionable and automated solutions. Our sprint based approach then creates the momentum that facilitates and speeds up the adoption of new ways of working.

Once we have a better understanding of your business challenges, goals and priorities, we can identify and implement data science vs data analytics solutions that suit a range of business problems: 

Sales Operations
Pricing and
Store Format
and Layout

Delivering Results

Featured Case Study

Client Testimonials

Payments cards profiling Spendographics


Cleaning up many billions of debit and credit card transactions, we developed a ground-breaking segmentation to profile the many hundreds of millions of cards in Europe.  Developed using Machine Learning without no personally identifiable information. Delivered as automated insight reports to 100's of retail and consumer businesses across Europe.

Contact us

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Editors choice

Data Science vs Data Analytics

Data Science vs Data Analytics

Article Type

Data analytics is the process of investigating and asking structured questions of information, be it business information, medical test information or whatever field you are working in. Typically data analytics looks at historical data and uses a fairly standard set of statistical techniques.