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Data Analytics

Data analytics is not just analysis. It also includes data collection, data organisation and data storage. We can provide you with the tools you need to get the most out of your data. We help you collect important data about your company, and then discover patterns, relationships and trends to make your data your most valuable asset. Our systems and software integrate machine learning algorithms, automation and other capabilities.

There are four basic types of data analytics. These are intertwined, and most analytics programs will incorporate several or all of these:

Descriptive Analytics

What is happening?

Descriptive analytics involves using visualization tools to get a clearer view of large amounts of data, such as demographics or financial data. At this first level, it is important to determine what the characteristics of your data are in order to develop further analysis.

Diagnostic Analytics

Why is it happening?

When evaluating descriptive data, diagnostic analysis will delve deeper into the causes of the situation. This will usually require collecting a series of data from different time points, which will allow the analyst to determine at what point data changes, and what were the circumstances that changed at that time.

Predictive Analytics

What will happen next?

Predictive analytics means forecasting, like a weather forecast. Based on previous data and current trends, predictive analytics will come up with the most likely outcome given certain circumstances. Probable outcomes are often scored with a percentage of likelihood.

Prescriptive Analytics

What should we do?

Prescriptive analytics looks at what has happened, why it has happened and at various predictive scenarios to help determine the best actions to take. For example, a self-driving car looks at past traffic patterns and current traffic conditions in order to decide the best speed, when to stop and the best route to take.