Consulting Services

Data science is about combining data with tools, techniques, theories and algorithms to:

• ask questions of data and show curiosity.
• gain insights on data.
• develop models for inference.
• facilitate evidence-based decision making.

Data science combines data analytics, software development, statistics and economics into one occupation. Data science has several key components:

• Data management, data integrity and security.
• Data mining and data cleaning.
• Exploratory data analysis, data analytics and visualisation.
• Economic and data modelling. Understanding how the part fits into the whole.
• Machine learning and artificial intelligence (AI).
• Inference - classification and prediction.

Machine learning and AI, in particular, are disruptive technologies that will impact every industry over time.

Business managers and stakeholders will need to understand these technologies and how they impact their business. Understanding and effectively utilising AI will create many business opportunities.

With the field evolving so rapidly, organisations will require specialist understanding and expertise. There are many questions to answer. These may include:

• Where do I start?
• What is possible for my business?
• What is the most feasible use case/business requirement for my business?
• How do I use my data to differentiate my business?
• How do I leverage off what products are already available in the market?

It is easy to get lost in what seems like limitless possibilities for AI.

We can provide your organisation with an overview of the current technologies used in machine learning and AI and advise how to develop a coherent strategy to utilise and deploy these technologies with your data.