Big data can deliver benefits across all departments in your business, but it is vital to ensure that you know who is leading the big data push, and that they have a suitable strategy in place.
Traditional data warehouse environments are being overwhelmed by the soaring volumes and wide variety of data pouring in from cloud, mobile, social media, machine, sensor, and other sources.
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Organisations delving into big data often run into two difficulties: not knowing where to start, and not knowing how to justify a big data investment.
Apple's announcement of HomeKit and HealthKit that will make the Internet of Things (IoT) much more prevalent in consumer culture.
Deakin University and SAS have set up a joint research laboratory to develop new ways of visualising big data, such as being able to move through the data in a virtual 3D environment.
IBM Research and contract miner Theiss have announced a collaboration aimed at developing big data tools to improve the efficiency of mining equipment maintenance.
Three emerging big data trends promise to improve the business case for Australian enterprises' adoption of the technology, according to Deloitte.
Researchers from the CSIRO, Monash University and other institutions will use big data and economic modelling to study how well the Australian superannuation system is working.
Arciteca and the CRC for Mental Health have joined forces to develop a system aimed at allowing medical researchers to more easily manage and share clinical data.
Four experts converge to discuss the true meaning of big data, the real-world insights it can provide and the ethical implications surrounding big data analytics.
The big question about big data remains: is this going to be another oil rush with a few winners and many losers, or will it enrich us all?
While a perfectly executed big data project can indeed reveal useful or surprising insights, there are some large stumbling blocks that can hamper the progress of big data projects.
Will big data - the collecting of vast amounts of data about nearly everything - finally help us predict the future? Humanity's cognitive biases may prevent big data from making accurate predictions, Elizabeth Rudd writes.