DataScan

By Nick Halstead

Curated digest on the world of data.

Curated digest on the world of data.

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650

subscribers

79

issues

#79・

DataScan: Issue #79

Data privacy among 2019 drivers of change. WARC reports on how data privacy will be ever-present in marketer thinking next year. Chad Wollen, CMO of Smartpipe Solutions, predicts a focus on around data portability and "where data protection and ethics converg…

 
#78・

DataScan: Issue #78

Google 'betrays patient trust' with DeepMind Health move. Earlier this week, it was announced that Google will be merging DeepMind into the main arm of the organisation - potentially breaking its promise that the healthcare ‘data will not be connected to Goog…

 
#77・

DataScan: Issue #77

Marketers complain of data 'disasters' in post-GDPR world. Reporting for Campaign, Omar Oakes covers new research by data services company SBDS exploring UK CMOs opinion's on the consequences of ineffectively using customer data. Amongst the other key finding…

 
#76・

DataScan: Issue #76

Gartner picks digital ethics and privacy as a strategic trend for 2019. Natasha Lomas reports on how Gartner's top ten strategic technology trends for 2019 prioritises digital ethics and privacy; alongside AI-driven development, augmented analytics, quantum c…

 
#75・

DataScan: Issue #75

A reminder of why data privacy matters. Check this chilling insight into China's dystopian digital dictatorship which is being built to "exert control over its 1.4 billion citizens" by using a "social credit" system to grant privileges, and punishments. Matth…

 
#74・

DataScan: Issue #74

Data's value: How and why should we measure it? Excellent post by the ODI's Ben Snaith, in collaboration with Peter Wells and Anna Scott, taking a deep dive on how data can be valued, governed and regulated. Snaith argues that "trust in data itself has been u…

 
#73・

DataScan: Issue #73

Blockchain and data management myths. Gartner's Susan Moore deep dives on why blockchain is not the future of databases, by debunking the three common myths with Nick Heudecker, research vice president at Gartner:Blockchain will replace existing data manageme…

 
#72・

DataScan: Issue #72

Google, Facebook, Microsoft, and Twitter partner for ambitious new data project. The collaboration, the Data Transfer Project, endeavours to enable the "seamless, direct, user initiated portability of data between the two platforms". This will enable the secu…

 
#71・

DataScan: Issue #71

Jeff Bezos and Amazon have the advertising industry looking over its shoulder. Claire Atkinson describes how Amazon's growing advertising business is poised to challenge the Google/Facebook digital ads duoplay:Google knows what consumers are interested in, an…

 
#70・

DataScan: Issue #70

Verizon, Sprint, AT&T and T-Mobile stop sharing customer sharing location with data brokers. Devin Coldewey summarises the scandal:Verizon sold bulk access to its customers’ locations to the brokers in question, LocationSmart and Zumigo, which then turned…

 
#69・

DataScan: Issue #69

Protecting customers' privacy requires more than anonymising their data. Excellent article by Sachin Gupta and Matthew Schneider for Harvard Business Review discussing the "trillion-dollar question" - whether businesses can "reap the promised benefits of data…

 
#68・

DataScan: Issue #68

Deep learning with synthetic data will democratise the tech industry. Evan Nisselson, partner at LDV Capital, explains how synthetic data can be used by smaller companies to compete with the major tech giants and their immense datasets. 💯 This fake but realis…

 
#67・

DataScan: Issue #67

Questions for Zuckerberg and Cambridge. Rory Cellan-Jones discusses the implications of Zuckerburg's two-day interrogation on this week's Tech Tent podcast. Highly recommend giving it a listen:We zero in on what Mark Zuckerberg failed to answer during his US …

 
#66・

DataScan: Issue #66

Trustworthy data will transform the world. Writing for The Financial Times, John Thornhill discusses Sandy Pentland's recent Alan Turing Institute lecture on the benefits of trusted data, and how it would "give us the capability to understand our world in far…

 
#65・

DataScan: Issue #65

How to analyse data while protecting privacy. Stuart Langridge explains how companies can use aggregated data to be data-driven while maintaining customer privacy. 💯 Most people are "basically OK" with the use of their data, they "just don't want to be victim…

 
#64・

DataScan: Issue #64

Are the most innovative companies just the ones with the most data? Writing for Harvard Business Review, Viktor Mayer-Schönberger and Thomas Ramge argue that decisions and so product innovation is now driven by data rather than human "aha-moments". 💭 Although…

 
#63・

DataScan: Issue #63

Why your data strategy is your B2B growth strategy. 🚀 A Harvard Business Review survey, sponsored by Radius, found that "siloed data is the biggest challenge B2B marketers face when it comes to achieving their go-to-market goals". 🤔 Furthermore:Over half of r…

 
#62・

DataScan: Issue #62

How widely companies share data. Katharine Schwab discusses PayPal’s recent spreadsheet which outlines all the third-parties with whom they share customer data. 🔮 Designer and researcher Rebecca Ricks neatly visualised this information in a new tree diagram —…

 
#61・

DataScan: Issue #61

Don't dismantle data silos, build bridges. Alan J. Porter, senior customer experience evangelist for the OpenText Customer Experience Suite, explains the importance of organisations having a "holistic view" of their "customer's data". 🔍 But this shouldn't be …

 
#60・

DataScan: Issue #60

Let's make this the year we reclaim control of our data. Excellent piece by Jon Crowcroft, Marconi professor of communications systems at the University of Cambridge Computer Laboratory, on how differential privacy, homomorphic encryption, and GDPR could "hel…