Learn the 5 key elements every data strategy should have: the vision, principles, governance model, target state and ultimate plan.
How to Make the Jump to Predictive Analytics from Your Business Intelligence Solutions
Learn the 5 key elements every data strategy should have: the vision, principles, governance model, target state and ultimate plan.
The best real-world applications of predictive analytics in business
With the exponential increase in data, many organisations are faced with the ever increasing challenge of storing, processing and making sense of their data. Cloud-based data lakes help address these problems by providing organisations with the capability to capture any type of data, whether structured or unstructured, and make this data available for use for a range of applications. This includes your traditional reporting from structured data warehouses to big data analytics.
7 mistakes organisations make when developing a data strategy
We review the 7 most common mistakes we see organisations make when it comes to developing their data strategy.
Consumer Data Right: what does it mean for data in Australia?
On 1 August 2019, the Consumer Data Right Bill was passed by the Senate, effectively changing the Australian data landscape for the foreseeable future.The legislation amendment was a push by Prime Minister Scott Morrison to exert pressure on the banking sector by...
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Why don’t Australians trust their org data?
We explore how leaders are planning to fix this to achieve their AI aspirations
Balancing Data Collection and Data Privacy
Organisations are collecting more personal data than ever. Whether to provide a better user experience, improve services and operations, innovate, predict trends, or stay competitive, organisations can extract a lot of value from consumer data.
Organisational Transformation e-book
Data is one of an organisation’s most valuable assets.