Overcoming uncertainty. The widespread use of analytics continues to drive understanding and guide our actions. But as adoption of data-led discovery grows, could the only thing that holds us back be ourselves? A shortage of skills, a lacking of culture… or our scrupulous ethics?

Analytics adoption spreads in uncertain times

Analytics spreads in uncertain times

The demands faced by business are increasingly complex. Volatility is the new normal. And to meet these challenges all business functions are turning to analytics as a means of managing increased uncertainty. The growth in digital technologies is driving the ability to analyse more data, which, in turn, is fuelling an appetite for better data and more advanced analytics skills. That’s the findings of a major new report that surveyed more than 300 UK and US based executives. Key results show that the value of analytics has finally been realised, with senior execs willing to invest in technology and people. This has seen data analytics move, from being the reserve of IT and finance, across a majority of business functions. However it’s tempered by the significant skills gap which still exists.

Are you part of the analytics problem?

Three things are holding back your analytics, but your technology isn’t one of them. We already know how business analytics platforms have evolved across the enterprise. But there are still obstacles in the way of finding the full value of analytics. And these obstacles tend to be people shaped… So, in the quest to find maximum advantage, it’s not technology that’s dragging its feet, but the structure, culture and approach to problem solving adopted by organisations today that’s often guilty of holding you back.

How Facebook wants to analyse the data of your face

How Facebook wants to analyse the data of your face

When emojis burst onto the mainstream, they helped even the most ‘literately’-challenged to express their feelings in a simple face. But it’s not these iconic smiley faces, frowns and gurns that will be tracked by a new tool being developed by Facebook to ascertain your mood… Facebook plans to analyse your actual face. By taking over the camera on your phone or computer to capture your facial expressions, Facebook aims to analyse your emotions so that it can provide content better suited to your mood. And not content with that, it will factor in the speed of typing, the content of the text and even the way you hold your handset to collect more information for its machine learning-based algorithm.

Using data to spot the next technology boom

Using data to spot the next technology boom

News aggregator site Hacker News has become a mainstay for entrepreneurs, tech professionals, and venture capitalists around the world, helping to spot the trends and issues affecting the tech sector. By analysing data from 3 and half years and over 1 million subject lines on Hacker, it’s possible to discover which subjects are being mentioned with increasing frequency by the site’s community of technology influencers. As well as painting a picture of the topics that have been trending over the last 3.5 years, could it help you spot your next big investment?

Exploring World-Wide Clothing Styles from Millions of Photos

Exploring World-Wide Clothing Styles from Millions of Photos

The millions of photos uploaded each day to social media provide a fascinating window into the cultural, social, and economic factors that shape societies around the world. But instead of a simple snap shot of our daily life, could these images be used to gain deeper insights into civilisation itself? Clothing styles is one cultural phenomenon that’s hard to study at scale, but with the help of Instagram and machine intelligence, distinct patterns emerge on how visual themes vary by time and place

Posted in Big data, Media roundup On June 16, 2017 By

Author Bio

Gordon Laing

Gordon Laing

After years spent plying a trade in journalism, I changed. But journalists never really change, do they? It’s always been about finding and sharing the best insight. And always will be.

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