Analysing and Understanding Putting big data to work
Total Global Data 2011 - 2013 90% Before 2011 Source: IBM Data Analytics, 2013
“Graphics Reveal Data” Edward Tufte
Perception – Understanding is essential – Simplify for more accurate reading
Perception – Understanding is essential – Simplify for more accurate reading Source: Cleveland & McGill, 1984
Insight Four key objectives: – Provide overview – Adjust perspective – Detect pattern – Match mental model
Source: The Guardian, 2011
Appeal Visual appeal is determined within 0.5 seconds Therefore, optimise by selecting: – Low – medium complexity – Medium – high colourfulness
Appeal Visual appeal is determined within 0.5 seconds Therefore, optimise by selecting: – Low – medium complexity – Medium – high colourfulness Source: CDP Cities, 2015
London: The Information Capital
John Snow, 1854 Source: The Visual Display of Quantitative Information, 2009
John Snow, 1854 Source: The Visual Display of Quantitative Information, 2009
London Data Store – Population – Dwellings – Energy – Transport – Health – Education
Mapping London LSOA Map Residents per Dwelling Source: GLA LSOA Atlas, 2014
Buildings: Big Data Potential
Building Data – Energy consumption – System peaks – Automated controls – Occupant comfort – Maintenance requests – Secure access – File storage
Example: Domestic DSR Granular energy data and dynamic pricing – Reduced supplier costs – Deferred network investment – Cheaper energy bills Source: UK Power Networks, 2014
Example: Non-domestic DSR Significantly more complex systems – Predict demand reductions – Respond to automated network signals – Deliver agreed demand reduction – Monitor building performance – Communicate benefits to engage occupants
“Big Data Is Not About The Data” Garry King
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