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Beyond Putting Data to Work Strapline

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.

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.

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

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

SEGMENTATION
 

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

PREDICTIVE MODELLING

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.

MANAGING CHURN

Use past behaviours and triggers to identify when and why your customers are most likely to switch and leave your brand.

CONVERSION RATE OPTIMISATION

Deliver more sales by optimising the customer journey throughout your omni-channel experience. Proactively respond and recover abandoned baskets.

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.

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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: 

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