There’s nothing worse than queueing for the toilet, especially when you’re dying to go. The author of this article discusses a short history of studies on queuing, and what systems work best to minimise queue times. She found that a traditional bathroom layout led to women spending 6 minutes from beginning to end, whereas men only spent an average of 11 seconds! The final layout, coined gender neutral, was found to decrease women’s wait time by 4 times, although increased mens to 1 minute. The issue prevalent here can’t simply be resolved by a display of numbers, which is where a lot of analysis can become unstuck. It is in this case and many others important to consult those people decisions around such insights affect, in order to create solutions which best suit the greatest number of people.

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Big data is slowly becoming more and more integrated into our society, whether we like it or not. This solution from Deloitte is a great example of how a problem was identified and acted upon quickly, utilising the abilities of big data and machine learning. Using an Alexa like device, Deloitte’s Assist uses voice and visual recognition technology to understand the severity of a patient request. This means that rather than being added to a queue of patients who may be requesting a blanket or simply just a chat, those in dire need of immediate action can get it. As a result, nurses can better prioritise their care, achieve more efficient care delivery, and save more patients in the process. Simply put, data and technology could be a saving grace for many public AND private sector organisations.

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What big consumer brands can do to compete in a digital economy

Another great example of how agile business models are essential in today's day and age. The rise of e-commerce, disruptive start-ups and innovators have left many traditional retailers in the dust. Changing lifestyles and increasing demands for more value have culminated in the giants of the FMCG world being left behind in the e-commerce era, with smaller, more agile businesses using the powers of data to better align with consumers’ values  and understand what they truly demand, and then customising their experience to match exactly. By running data analytics, firms can optimise their merchandise mix and marketing efforts, as well as inform future innovation, keeping them one step ahead of the pack.

Interested in this? We have helped numerous retailers to understand the power of their data. Check out our Retail Case Study which brings this concept to life or get in touch today.

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This article explores trends around different generational attitudes towards money and breaks these discrepancies down into 7 major categories which include reactions to volatility and perceptions about how knowledgeable different groups believe themselves to be when considering finance. 

[Image source: Raconteur]

Data like this is important because it informs us of characteristics about generations that drive decision making processes. By being able to better understand what motivates people in certain demographics, marketers can better target segments, in this case those willing or looking to invest money, by softening the friction areas and creating trust between them and their offering. Data analysis is about finding value within numbers, and by considering these trends, it becomes more simple to relate with target audiences and provide them value where value is in high demand.

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Machine learning is a daunting concept for many people all over the world. The idea that machines can learn like humans delves into arguments which stress the importance of maintaining humanity and ensuring technology doesn’t have the capability to surpass us. IBM’s Watson is a very strategic segway for the company’s marketeers to broaden the trust level consumers have with these types of technology. By demonstrating its ability to solve a large social issue which many Australian’s relate to on a personal level, IBM is developing this network of trust in ways which truly help people, instilling confidence in those exposed to and willing to adopt this technology.

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