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Robyn Stephenson
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By Kavitha Chandrasekaran Our phones have become an essential part of our lives – and that means that every day, we leave a data trail behind us. From emails and social media messages, to pictures and videos, we leave a digital footprint wherever we go. Mostly, this is entirely intentional; it’s rare to find someone who owns a phone that doesn’t have any saved messages and images. But when something goes wrong, information is everything – which is why, in the world of forensic investigations, mobile data can be a valuable goldmine. ‘Mobile forensics’ is becoming an important part of the work of our Forensics Data and Analytics teams – we are increasingly asked to collect and analyse mobile data during investigations. It’s possible to collect an amazing array of information from the average smartphone, from SMS messages and emails, to calendar events, internet history and bookmarks and even your social media history. It’s even possible to recreate deleted messages, social media, pictures and documents from a phone. Continue reading
Posted Apr 9, 2017 at z_ Technology Insights (Data)
By Anthony Bruce and Yann Bonduelle Since wearable technology first emerged about three or four years ago, it has quickly moved from sci-fi territory to everyday use. According to a survey we have just carried out with more than 2,000 working adults in the UK: •86% own a smartphone •20% own a fitness tracker such as Fitbit •17% own a smartwatch. Continue reading
Posted Jun 20, 2016 at z_ Technology Insights (Data)
By Paul Smith I can still remember the day when I felt like I had the ultimate brain wave and realised that the answer to many business problems of today was simply to get the right quality of data to make the right business decisions. Right data…right time…right decision was something that has stuck in my mind for many years. What I've learned is that data governance is a much broader topic Continue reading
Posted Jun 14, 2016 at z_ Technology Insights (Data)
By Cathy Wilks Self-service business intelligence (SSBI) – where the responsibility for performing analytics on data is in the hands of the user rather than centralised within IT – is rather like the first time you learn to ride a bike; you want to do it, and it makes sense to do it, but it’s difficult to make it work in practice. In theory, SSBI is becoming more workable and desirable than ever before. Analytics and data visualisation tools Continue reading
Posted Jun 6, 2016 at z_ Technology Insights (Data)
By Paul Smith The challenge of how far to go with the challenge of data governance is ever present in the heads of chief data officers. “How much should I spend?” “How can I demonstrate value?” “When will I know I have finished?” Are all questions that chief data officers are asking themselves. Continue reading
Posted May 31, 2016 at z_ Technology Insights (Data)
By Ollie Phillips Sport is a great example of an industry that has been transformed by technology. Technology has transformed sport. It’s made it more professional and has quantified what ‘world-class’ performance and preparation should look like. The result is bigger, faster and stronger athletes can deliver a level of quality on the field that has never been seen before. So what, you may ask, does any of this have to do with PwC and why did I ever walk through the door in the first place?! Continue reading
Posted May 24, 2016 at z_ Technology Insights (Data)
By Gareth Lewis I saw a recent newspaper headline which read “Will mobile health apps make GPs redundant?” A quick straw poll of my family (all doctors) revealed that they thought this notion was absurd. It struck me how people tend to take a very binary view of these types issues depending on their experience - whether it’s a doctor or an accountant insisting he/she will never be able to be replaced by a computer or some futurist insisting that we are all going to be replaced by robots. In my view there will always be a need for a highly trained, empathetic medical professionals to manage a patient’s well-being. Continue reading
Posted May 18, 2016 at z_ Technology Insights (Data)
By Sambit Banerjee In the past few years we’ve all talked a lot about the exponential growth of data, how analytics can help make sense of it and why embracing data and analytics isn’t optional any more. We all agree that innovation today is fundamentally underpinned by our ability to generate meaningful insights from data. But that doesn’t mean that achieving that is easy. Most organisations are still struggling to put an effective innovation process in place. They’re struggling to organise their internal data, and to identify and access useful external data sources – and they’re really struggling to attract people with good data and analytics skills. Continue reading
Posted May 16, 2016 at z_ Technology Insights (Data)
By Carol Mynott Just down the road from our offices, Somerset House has been hosting "Big Bang Data" the UK’s first major exhibition exploring the big data explosion that is "radically transforming society, culture and politics in the 21st century". We constantly see and hear stories about the exponential growth of data and its associated advantages and disadvantages. Today people generate data on a daily basis, through mobile telephones, social media and online transactions. Continue reading
Posted Apr 21, 2016 at z_ Technology Insights (Data)
For effective data visualisation, the ability to say more with less is crucial. Just as writing in a verbose manner to communicate an idea often backfires, over complicating what is displayed on screen often fails to communicate a message. Continue reading
Posted Mar 23, 2016 at z_ Technology Insights (Data)
Accurate interpretation of data is a difficult task. Despite this, even the smallest companies are attempting to apply analysis to any sources of information they can get their hands on, looking for a pattern that explains their performance. An added challenge to any business taking this approach, is human tendency to perceive meaningful patterns where they do not exist. Continue reading
Posted Feb 24, 2016 at z_ Technology Insights (Data)
Mistakes happen, no matter how experienced you are at doing data analytics. You might know somebody who claims that they don’t make mistakes, or somebody with so much experience that their analysis is always trusted and never checked Continue reading
Posted Feb 18, 2016 at z_ Technology Insights (Data)
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Feb 15, 2016