Data Mining

SAP brings new analytics tools to companies large and small

A bumper crop of new analytics tools has arrived for business users over the past few weeks, and on Tuesday SAP rolled out two fresh examples. Both promising simplicity and usability for non-experts, SAP Predictive Analytics 2.0 offers updated capabilities for enterprises seeking insight into large volumes of data such as from the Internet of Things, while a new Edge edition of SAP's Lumira tool targets small and medium-size businesses with data-discovery features.

Oracle hopes to better target online advertising with Datalogix acquisition

Half the money spent on advertising is wasted -- the question is, which half? That's the age-old question in adland. Now Oracle is hoping to help its customers answer that question with the acquisition of Datalogix, which collects offline consumer spending data in a bid to help online advertisers pick the right targets.

Big Data digest: Rise of the think-bots

It turns out that a vital missing ingredient in the long-sought after goal of getting machines to think like humans -- artificial intelligence -- has been lots and lots of data.

Social Media

Google service analyzes live streaming data

Taking what many see as the next step in big data analysis, Google is previewing a service called Google Cloud Dataflow that analyzes live data, potentially giving users the ability to view trends and be alerted to events as they happen.

Digital Marketing

SAP buying SeeWhy for targeted marketing technology

SAP is scooping up SeeWhy, maker of real-time targeted marketing software, in a bid to flesh out the omni-channel commerce platform it gained through last year's acquisition of Hybris.

Big data Google-style comes under attack

The article in TIME is headlined "Google's Flu Project Shows the Failings of Big Data." However, critics says the real failing here is not with big data but with Google.

How analytics helped Ford turn its fortunes

Big data and analytics permeate virtually every move Ford makes, from forecasting the worldwide price of commodities to figuring out what exactly consumers want, what it will build, where it should source parts and how to power its lineup of vehicles.

Leadership

How many data scientists does the world really need?

The buzz is all about Big Data and how best to use it to generate actionable intelligence. To do this, companies will need to hire loads of highly trained, highly paid data scientists -- or will they?

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Blog Posts

How to design for a speculative future

For a while now, I have been following a fabulous design strategy and research colleague, Tatiana Toutikian, a speculative designer. This is someone specialising in calling out near future phenomena, what the various aspects of our future will be, and how the design we create will support it.

Katja Forbes

Managing director of Designit, Australia and New Zealand

The obvious reason Covidsafe failed to get majority takeup

Online identity is a hot topic as more consumers are waking up to how their data is being used. So what does the marketing industry need to do to avoid a complete loss of public trust, in instances such as the COVID-19 tracing app?

Dan Richardson

Head of data, Verizon Media

Brand or product placement?

CMOs are looking to ensure investment decisions in marketing initiatives are good value for money. Yet they are frustrated in understanding the value of product placements within this mix for a very simple reason: Product placements are broadly defined and as a result, mean very different things to different people.

Michael Neale and Dr David Corkindale

University of Adelaide Business School and University of South Australia

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