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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Data Strategy eBook
Make better and faster organisational decisions with a solid data strategy
Enabling Transformation with Data Governance
The City of Greater Geelong recognised that embedding data governance is critical to their transformation.
Creating A Culture To Attract And Retain Top Talent
How do you create a culture that attracts and retains top talent in the tech industry? What is “culture” and why is it important? Have a listen to the podcast.