Welcome to ERP-Statistics Lab!


Statistical Services

We offer a wide range of services to help you achieve a greater level of understanding from your data. These help you make better decisions and more reliable plans. You can see summaries of our main services below.


You may already have in-house data expertise, but does your team fully understand how to carry out the statistical tasks needed to turn data into actionable insights you can trust ? Clients often come to us for support in choosing the most appropriate analysis technique or statistical test, or to understand the best ways of presenting their results.

Statistical analysis has the potential to draw clearer understanding from your data than many people realise. Our Advice service provides access to expert statistical guidance. Your staff can then understand, perform and interpret the right statistical analyses and help you get the most out of your data.

We also advise you on how you can present the results of your analyses or tests in more informative and engaging ways - helping you turn data and analysis into insights you can easily put into practice.

Clients from a wide range of sectors benefit from this advice including, among others, business, environmental and medical organisations. Advice can be provided on an ad-hoc basis, while some clients prefer an on-going support contract because they have a regular need. And, of course, this type of advice can always be built into a wider Training service.

By having access to professional advice, at the right time, you can significantly enhance your ability to interpret and understand your data accurately.


You may already have in-house data expertise, but does your team fully understand how to carry out the statistical tasks needed to turn data into actionable insights you can trust ? Clients often come to us for support in choosing the most appropriate analysis technique or statistical test, or to understand the best ways of presenting their results.

Statistical analysis has the potential to draw clearer understanding from your data than many people realise. Our Advice service provides access to expert statistical guidance. Your staff can then understand, perform and interpret the right statistical analyses and help you get the most out of your data.

We also advise you on how you can present the results of your analyses or tests in more informative and engaging ways - helping you turn data and analysis into insights you can easily put into practice.

Clients from a wide range of sectors benefit from this advice including, among others, business, environmental and medical organisations. Advice can be provided on an ad-hoc basis, while some clients prefer an on-going support contract because they have a regular need. And, of course, this type of advice can always be built into a wider Training service.

By having access to professional advice, at the right time, you can significantly enhance your ability to interpret and understand your data accurately.


Statistical Analysis is the bridge between the data you have and the insight you need. The scope ranges from simple summaries and exploratory analyses to complex modelling and hypothesis testing. Our analysis service lets your data speak - delivering the information you need to make intelligent decisions.

Summary Statistics

Summary statistics provide a snapshot of a system without attempting to explain what’s going on behind the scenes or to predict how things might change.

Presented as tables or simple plots, these give you an overview of the information contained within your data. Summary statistics are ideal when you simply need to record and report on the data you collected, whether it’s a laboratory experiment or a nationwide survey.

Exploratory Data Analysis

Often a precursor to more detailed statistical analysis and modelling, but still a very valuable exercise. The EDA begins to explore the relationships between the variables within your data set, to identify patterns and trends that help you understand what’s going on.

Assumptions will be tested to understand what sorts of processes might be involved in generating your data. Sophisticated visualisation techniques are used to display complex relationships in an easily-digestible manner to help you communicate the results and understand in simple terms what’s going on.

Statistical Analysis

Statistical analyses range from hypothesis tests to predictive models. They are used to answer specific questions, either about what’s happening now or what might happen in the future. They provide a detailed insight into your data to create clear conclusions and motivate intelligent decisions.


Do you have all the data you need to properly inform your business ? Is your data accessible and easy to turn into actionable insight ? Data collection and management underpins all of the services we deliver.

Administrative Data

Most organisations generate data routinely as part of their core administrative systems. Your website, CRM, sales and finance systems will all generate data that can be combined to create a comprehensive picture of your organisation and your interaction with your customers or stakeholders.

These separate systems fulfil a role within their designated functions. But you have to pull them together to understand, measure and predict how your organisation operates at the most general level.

With independent systems and software, combining data from different areas of your organisation is no easy task, and this is where we can help. We can help you cross-link your various data sources without interfering with their current function. We then show you how to use these data to learn more about your organisation and spot opportunities for increased sales, efficiency or performance.

Third Party Data

We can source external data to complement the data you already have. Potential sources include social media feeds, web API’s, government data (ONS and census data), GIS, health, economic and credit reference data. Whatever information you need, we’ll help you find the right source and integrate these data into your current systems so that they’re ready to use.

We’re familiar with the full range of data formats from simple CSV files and Excel spreadsheets to cloud-based SQL servers and bespoke data architectures. We can help you extend or create the data structures to ensure that you have all the information you need at your fingertips.


Vast quantities of data are generated every day by devices and websites, by Government and probably by your own organisation. These data hold many of the answers to challenging problems facing businesses and public sector organisations. But how can you usefully extract information and intelligence from such vast and dynamic data sets ?

So-called Big Data is big business. From the public to the private sector, organisations are benefitting from the advent of sophisticated new techniques to help harness this valuable resource.

Data mining techniques are used where traditional statistical methods begin to struggle with the quantity of data available. It might be the sheer scale of the numbers of observations, high numbers of variables, or the speed at which the data needs to be processed. Data mining techniques enable you to extract the information these data hold to uncover hidden patterns, market trends, customer preferences and other critical business information.

Data mining tools include :

  • Outlier detection to identify fraud or contaminants.
  • Association rule learning to find relationships between variables and create personalised recommendations.
  • Cluster analysis to identify groups of customers with similar buying behaviour or preferences.
  • Classification analysis to assign new customers to distinct groups and target marketing appropriately.
  • Neural networks to identify complex patterns and produce robust predictions.
  • Decision trees to generate the optimal strategy for any situation.
    It’s often the computational tools that unlock the real potential in big data. Big Data analytics was born with the advent of cloud-based supercomputing : platforms such as Hadoop which stores large datasets across distributed clusters and MapReduce which coordinates, combines and processes data from multiple sources. Without these tools and the expertise to set them up and use them, your chances of extracting useful insight from Big Data are greatly diminished.

Experiments and trials can sometimes be undermined before they’ve started, simply because there wasn’t enough thought put into data collection. Good design ensures that the data you collect will meet the objectives of your experiment and that your results will be unbiased.

What data need to be collected ? How should they be collected to avoid bias and to make the subsequent analysis easy ? These are important questions that have to be answered early in the planning stage. Our statistical analysts will ensure that your experiment will produce the required results and that your time and money is well spent.

We help a wide range of professionals to design experiments, including engineers, researchers, manufacturers and healthcare practitioners. Usually their primary interest is to understand the effect of a process such as a new medical treatment or manufacturing technique. Design is equally important for professionals interested in running a survey ; you can find more details on this in our Surveys and Sampling section.

Our design experts work with you to ensure that you cover all of the bases when considering the statistical aspects of your project. For example, we can calculate how many samples you must collect to provide reliable information and also how to structure your study to avoid biases.

Design ensures that all variables that might impact the result are accounted for. In a medical context, this could be the age, gender or lifestyle of the patients in the study. Using established design techniques such as randomisation, replication and blocking, we’ll help you design your experiment to ensure that any potential errors are reduced so that you will understand the effect you are studying with greater precision.

Simplicity is often the key to a well-designed experiment. We help you obtain the information you need while ensuring your experiment is cost-effective and reproducible.


Statistical research underpins many of today’s scientific breakthroughs in all areas of life. Select is dedicated to remaining at the forefront when it comes to applying statistical analysis to improve understanding and deliver practical benefits and solutions.

Whether you are a business developing new products, or an academic embarking on a new area of research, our team can help you develop novel statistical approaches to suit your needs.

Existing analytic tools often rely on the data meeting a standard set of underlying assumptions. Sometimes these assumptions don’t apply, particularly when you have a complex data set. Our team of analysts offers a wealth of experience in creating bespoke new tools to solve specific problems.

In the commercial world there are countless new and exciting statistical applications : website recommendation engines, e-commerce conversion rate optimisation, big data analytics and prediction tools for decision making, to name a few. We’ve worked with data and analytic teams within businesses to develop new products from their existing data, to extend their product range and to increase their customer base.

Statistical analysis is a fundamental tool used in all fields of academic research. But not all academics have sufficient training to carry out the statistical aspects of their projects. At Select we have analysts with many years of research experience within academia. We work together with academics to secure grant funding and develop novel statistical research techniques that help to deliver their research goals.

Whatever your research needs, innovative statistical solutions are vital to make sure that you gain the most out of your data. Our analysts’ unique combination of research and consultancy experience will help you deliver innovative solutions and stand out from your competitors.


What effect will increasing price have on demand ? What are the key factors that drive people to behave the way they do ? How do you predict complex systems like the weather when there are so many factors that influence what might happen ?

From simple linear relationships to complex high-dimensional systems, a statistical model simply defines relationships between the different variables within the data you’ve collected. The model then tries to explain the process that generated the data you observed, showing how variables influence each other and how they affect the outcome

While the aim is to simplify and explain, statistical models can often be complex and demand a high degree of expertise to produce accurate results. When you work with an expert partner, they can help you :

  • Understand complex relationships.
  • Identify drivers or variables that influence results while ruling others out.
  • Quantify the nature and size of the effect that different factors have on behaviour.
  • Extrapolate available data to situations that you’ve not observed.
  • Predict future behaviour and explore ‘what if’ scenarios.
  • Understand why things behave the way they do.
  • Quantify risk and uncertainty about different potential outcomes.

Whether you’re interested in human behaviour or a physical process, statistical models take the data you’ve observed and create a structure ; so you can understand, explain and predict how systems behave.

Statistical models come in a variety of flavours depending upon the nature of the problem and of the data available. Common classes of models include :

  • Regression models (including linear, generalised linear and logistic models)
  • Non-parametric models
  • Semi-parametric models
  • Fixed, random and mixed effects models
  • Bayesian and graphical models
  • Time Series models
  • Survival models
  • Classification and regression trees

Statistical models underpin many of our core services from design and analysis to testing and prediction. Whatever you’re interested in and whatever data you have, we can construct a model that will help you understand precisely what’s going on and why.


How successful are you at predicting and quantifying the risks your business faces ? Whilst the future will always be uncertain, understanding what might happen and how likely different outcomes might be is the key to effective planning and risk management.

We help our clients deal with uncertainty and identify the key drivers likely to shape the future. We help address the key questions : How likely are different events ? And how can we influence what might happen ?

Whether you’re predicting next week’s weather, the next big infectious disease outbreak, ordering stock, or setting insurance premiums - we can help you plan for the worst and act now to reduce risk and maximise returns.

If you don’t fully understand how to apply the right statistical techniques, important risks and variables will get overlooked. Proven statistical approaches take the guesswork out of prediction and forecasting. You can then be sure that your plans are built on realistic assumptions and a detailed understanding of the factors that will affect the outcome. You might not see exactly what will happen in future, but you’ll have a more precise appreciation of how it’s likely to look.

Our experience and technical expertise will identify which prediction techniques are most appropriate for your specific problem, given the data available and the complexity of the process or system. We can also help you establish the data collection, analysis and reporting you need to ensure you stay on course.

We help our clients by :

  • Quantifying the range of probable outcomes so that you can make robust and reliable plans.
  • Creating a clearer picture of future demand for improved resource and stock planning.
  • Predicting the likelihood and impact of rare events that could affect your business for improved risk management.
  • Identifying the factors affecting critical aspects of your business or organisation that you need to understand and influence.

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