Modelling

Data modelling is a global term used to describe the documentation of a new or existing business system. The core aim of a successful data model is to encourage data analysis and, in turn identify key business questions you need to answer.

Discovery

Data discovery is the process of extracting actionable patterns from your data. This can only be achieved when all your data is accessible so that data relationships and interdependencies can be analysed.

Why?

Data discovery is the first step to understanding data relationships and interdependences. The discovery process allows the output of intelligent, meaningful insight and is key to understanding your business. By discovering insight within the unique data available, you can improve your business performance.

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Visualisation

Data visualization describes the significance of information representation by displaying data visually. By displaying data in a visually appealing way, through the use of interactive & customizable objects, you can encourage identification of trends and relationships.

Why?

Data visualisation is not about producing a pie chart, it is all about showing data insight in a way that is easy to understand. It takes all the heavy lifting away from the data enabling you to see what you need to see. Make your solution visual, easy and intuitive.

Predictive Analytics

Predictive Analytics is the branch of advanced analytics which is used to make predictions about unknown future events. It uses many techniques from data mining, statistics, modelling, Machine Learning, and Artificial Intelligence to analyze current data to make predictions about future.

Why?

Predictive Analytics shift thinking from looking backwards to pre-empting how things will be based on the historical data. It is a mind-set shift from Lag indicators (past) to Lead indicators (future). It helps us see trends before they become issues.

Machine Learning

An extension of Artificial Intelligence (AI), Machine Learning (ML) can help us find, track and engage insights we can’t see otherwise. By acting in the most efficient way, a machine is able to analyse, classify and transform otherwise meaningful data into helpful output.
A key trend in machine learning is the ability to ‘set and forget’ – not needing to rely on a data analyst to use resources to see insight within your data, but to train and teach a machine to make it’s own data decisions so that the output is effective for you.

Why?

Machine Learning and Artificial Intelligence are here. They enable us to track trends in a way we have never been able to do in the past with extreme efficiency. Customer engagement and sentiment can be understood using a variety of tools; from voice conversations, website engagement and even media such as video or images. This is not the first thing you will want, but it is here and now.

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Cast Solutions is a Melbourne-based data analytics solution provider. We use the latest industry-leading technology to produce effective, customizable and appealing visual data insights for a wide range of organisations throughout the engineering, technology and business sectors.

Our team of professionals collaborate with clients to clearly define the business question or challenge. We bring a fresh approach, a proven process and the right analytic tools to build and implement insightful analytics solutions.

Please get in touch with our team today to learn how we can help you and your organisation succeed.

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