Services

Cleaning, combining and reconfiguring sets of data for clients. This can include internal and external data. It can also include static or dynamic data. This is an important first step when working on data analysis.

Building databases and data streams for clients. This is is a process of collecting and storing data effectively and securely. A quality database can help with communications, inventory and more.

Building dashboards for clients to view key metrics and relationships on a webpage. These metrics are specific to your business needs, can be filterable, and can be personalised for different users.

Data analysis tasks reporting on metrics, relationships and trends that are specific to a business. This can include numerical and categorical data types, and a range of analysis techniques. This requires data from clients to develop. This can also include external data sources. These reports will typically include a range of graphics to visualise key metrics/relationships.

Forecasting reports help to predict future happenings. This is helpful for analysing trends and predicting short and long-term outcomes. For accuracy, this requires a decent amount of historical data from clients to build. These reports are typically ongoing projects with regular updates (e.g. monthly, quarterly, yearly). Once a model is built we can continue to update the forecast with fresh data.

Professional reports on detailed data analysis tasks. These reports can include all of our relevant data mining methods (see some further examples below). The reports will typically include an executive summary, analysis, recommendations and conclusions. However, they can be customised to your needs. We can also arrange printing if desired.

We can help with creative projects including the design of data graphics, animations and videos. Have a look at our Instagram for some examples of what we can do. You will be provided with professional outputs ready for use in your project.

We provide tailored training programs for clients when working on projects involving dashboards or data models. These include live demonstrations and walkthrough videos. We also offer complementary support to clients post our project completion*. 

AI models are our most advanced predictive models available. We can train AI models to learn and predict outcomes. This is complex and requires very large data sets. These predictions can be highly accurate and valuable to a business. We provide the output (prediction) of these models in the most appropriate format for your business.

Predictive models use historical data to predict a certain outcome or set of outcomes. These models involve a mixture of code and human interaction to build. They can be used to improve the efficiency of a process for a business. We provide the output (prediction) of these models in the most appropriate format for your business (e.g. Python, R, Excel, a report etc.).

This is a method of analysing a sequence of data points collected over an interval of time. This is helpful in showing how variables change over time. This is particularly valuable to businesses with seasonal fluctuations.

Cluster analysis is a data mining technique that helps identify discrete groups of people, customers or other trends. If you have a niche specific group of customers/people or an activity that is particularly important, we can help to find it. 

Text based analysis helps for businesses that use large quantities of text (e.g. if your business has lots of reviews and/or a large Twitter following). We can use this to search for key words, groupings and phrases. This can then be implemented into knowledge for SEO, SEM, marketing and communications.

An extension of text based analysis. We can search for sentiment in large sets of reviews or feedback. This can help to identify the key positive and negative words for a business. This can lead to improvements and can identify the strengths of a business in the market.