Data Modelling

What Is Prescriptive, Predictive And Descriptive Modelling And How Can They Help Your Business?

Predictive, prescriptive and descriptive modelling branches from advanced analytics and is used to anticipate and act upon unknown future events with the goal of achieving the best possible outcomes. Patterns found within historical and transactional data are used to identify future risks and opportunities. Predictive analytics models, therefore, capture these relationships amongst many other factors to assess the risks involved within a particular set of conditions, assigning a score or weightage to the various levels of risk. Businesses will now be able to effectively interpret big data for their benefit with the successful application of these models.

Breaking Down Predictive, Prescriptive And Descriptive Analytics

​The word ‘analytics’ in ‘predictive analytics’ is a bit of a misnomer. This is because predictive analytics is not considered as a branch of traditional analytics such as reporting or statistical analysis as often mistaken. Predictive analytics derives from finding predictive models which firms deploy to anticipate future business outcomes and/or consumer behaviour. It works by compounding and analysing data mining, statistics, artificial intelligence, machine learning and data modelling.

Descriptive analytics involves capturing things which occur and can be applied to any portion of the business landscape. Descriptive analytics is the foundation on which an algorithm may be developed. Although these metrics are simple and not particularly advanced, they are often too voluminous to manage without proper analytics tools.

Free Consultation!

Want to learn more about how Data Modelling can help you innovate, anticipate and thrive? Then contact us to book a Free Consultation with us to learn how our software and algor​ithms can increase business porductivity and profitability. We created this service specifically to allow our clients to build an understa​nding of aspects such as current markets, customers and even predicting future outcomes.

Predictive analytics is typically used within dashboards and data reporting in organisations. Although sophisticated, these tools often lack the link between business decisions, process optimisation, customer experience or any other action for that matter. The model is unrivalled in producing insights, although, they are unable to produce explicit instructions on what to do with them. This is where prescriptive analytics is implemented to work alongside the predictive and descriptive analytics. Prescriptive analytics is where the developed insights meet their actions. Essentially, prescriptive analytics calculates the probability of an outcome and what can be done to trigger an influence in the direction which benefits the company; whether that be to make a sale more likely or contributing to the prevention of customer churn.

Our Data Modelling Capabilities

Statistical Analysis & Visualisation

We cover the analytical spectrum - planning, data collection, analysis, reporting and deployment.

Predictive Modelling & Data Mining

Industry-leading model-building, automation and evaluative capabilities.

Decision Management & Deployment

Advanced model management and analytical decision management makes our analytics come to life.

Big Data Analytics

Gain predictive insights to build competitive business strategies.


Send us a message to learn how our Data Modelling systems can help your business gain a competitive advantage.

Why Companies Are Using Data Models & Why You Should Too

Predictive analytics is allowing both SMEs and large organisations to become proactive and forward-looking through the anticipation of outcomes and behaviours, based on the collation of data. Prescriptive analytics can be taken one step further. Based on predictive analytics, prescriptive analytics conducts the optimal decision-making to provide suggestions for businesses to capitalise from their predictions or protect themselves from any arising implications. These tools help you gain a competitive advantage by discovering patterns in data and going beyond knowing what has happened, to anticipating what is likely to happen next.

Customer Relationship Management (CRM)

Predictive analysis applications are used to achieve the CRM objectives which drive marketing campaigns, sales targets and customer services. This analytical customer relationship can be applied throughout customer life cycles, right from customer acquisition, relationship growth, retention, re-targeting and win-back strategies.

Direct Marketing

Knowing what your customers want is essential in marketing. With the incorporation of predictive modelling, it allows companies to help identify the most effective combination of product versions, marketing communication channels, timing and suitable content that should resonate and be released towards the appropriate target audience.


Within the healthcare service segment, predictive modelling can determine whether or not patients are at the risk of developing certain conditions such as diabetes, asthma and other life-threatening illnesses - supporting medical decision-making and future research.

Risk Management

By implementing predictive modelling software, businesses have the ability to automatically determine risk within any given scenario. For example, in finance, the model predicts the best portfolios to maximise the return on investment (ROI) and deliver probabilistic risk assessments with the aim of yielding accurate financial forecasts.


By making accurate predictions on future risks and behaviours, predictive modelling can streamline the process of customer acquisition. This can be applied to a variety of industries which handle application level data such as in the medical industry (detecting illness) and financial sector (predicting and detecting bankruptcy).


The model works by analysing consumer spending, usage and behaviours; leading to efficient cross-sales or selling additional products to current customers for an organisation with various product offerings.

Free Consultation!

Want to learn more about how Data Modelling can help you innovate, anticipate and thrive? Then contact us to book a Free Consultation with us to learn how our software and algorythms can increase business porductivity and profitability. We created this service specifically to allow our clients to build an understadning of aspects such as current markets, customers and even predicting future outcomes.

How The Process Works


Click below to book your FREE CONSULTATION!


HQ SEO, Cardiff

The AI Recommendation engine helped me to determine which form of AI was most relevant to grow my business. This meant we were able to learn more about the type of AI which would provide the highest level of ROI for the business. Utilising this has helped our company to grow and expand at a more significant rate.

Tom Buckland , Founder


"ARTIMUS provided us with a cost-effective solution to client onboarding including data visualisations to improve our due diligence processes. The fact the ARTIMUS team has a deep understanding of data interrogation and structuring is a valuable resource in the era of customer intelligence"

David Rees , Director

Fitness Assurance, Manchester

ARTIMUS provided us with excellent digital expertise and support in order to create a bespoke online review facility. We’ve been
able to provide a fast free-to-use website that instantly assists visitors in finding and reviewing their fitness providers. The service provided by ARTIMUS was above and beyond my expectations, with a professional but also personable approach. This level of care and attention has certainly helped the website continuously improve and go from strength to strength. Thank you!

Samantha Smithson , Director

Mindful Work Training, Cardiff

We design and deliver online mindfulness training for organisations, for stress reduction. We needed an interactive website that could perform several functions. We contracted Toby at Artimus to work with us on a portal that could serve the trainee, the client and the us.

The brief was complex, but with Artimus' help we managed to make sense of it all, creating the first stages of a facility that will grow as we do. Artimus staff were patient, accommodating and creative in this process and helped us breathe a sigh of relief when we had a working system.

Simon Michaels , Founder and Director

Greyfly Consulting, Bristol

"ARTIMUS provided us with excellent MVP for our Business risk calculator, We’ve been able to provide a fast free-to-use business assessment solution that instantly highlights the risks a business should be focusing on and what risks they are dealing with well. This has helped not only us but our clients and those using the tool."

Lloyd Skinner , CEO

Rocky Ecommerce, Gibraltar

"We needed a fully functional, exclusive e-commerce platform built within a specific timeframe at a reasonable cost. Because of our extensive requirements, it deterred some other businesses from taking on the project. Artimus was my best alternative which offered services tailored to my specific needs; exceeding my expectations. Their unique solution provided the foundations for business as well as forming an excellent relationship to achieve a common goal. Artimus is a very specialised and professional entity of whom we would recommended to anyone looking to kickstart or revitalise their organisation"

Nathan Stockford , CTO