richard j self - university of derby 1 data governance and consequences of using lbs richard j self...

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Richard J Self - University of Derby 1 Data Governance and Consequences of using LBS Richard J Self Senior Lecturer in Analytics and Governance http://computing.derby.ac.uk/wordpress/people -2/richard-j-self / email: [email protected]

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1Richard J Self - University of Derby

Data Governance and Consequences of using

LBSRichard J Self

Senior Lecturer in Analytics and Governance

http://computing.derby.ac.uk/wordpress/people-2/richard-j-self

/

email: [email protected]

2Richard J Self - University of Derby

Context

GPS accuracy claim: 95% of all fixes to be <=10m

Thinknear identify the fact that 46% of reported locations are accurate <=

1000m (Q1 2015 Location Score report)

10% error > 100,000m (60 miles) My students’ research indicates (2420

data points) 85% are accurate to <= 25m 2.5% are >= 500m Outliers 1km to 80km

3Richard J Self - University of Derby

Critical Governance Question

What are the consequences of uncertain veracity of LBS to relevant stakeholders?

4Richard J Self - University of Derby

Agenda

Identify typical uses of LBS Evaluate accuracy of LBS in smart

devices Identify governance issues of the use

of LBS

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Some Uses for LBS

Marketing Geo-fencing?

Recreational Social media Photos

European e-Call Car crash reporting (required max error of

100m) Crime prevention services

GPS tagging

Triggers to Research Project

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Final Year Student Project

12 students researching 7 students contributed data to this presentation

(2460 data points) Daniel Corah Vishal Patel Amna Almutawa Ishwa Khadka Victor Horecny Shehzaad kashmiri Farondeep Bains

V Patel – Key Insight – Models Vary

phone N Mean Std Dev Std Err

Nexus 54 41.5629 24.1146 3.2816

iPhone 58 85.5101 113.8 14.9403

Method Variances DF t Value Pr > |t|

Pooled Equal 110 -2.78 0.0064

SatterthwaiteUnequal 62.476 -2.870.0055

Proc Univariate – Histogram issues

V Horecny – Key Insight – Chipsets

HTC-M8 (blue) modern chipsetHTC-Desire S (Pink) early version chipset

10Richard J Self - University of Derby

Accuracy?

Type of Location Open Rural – most accurate Residential Urban – least accurate

Low rise High rise

Accuracy Variable with Time

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Consolidated Data – 2420 points

Red = > 300m

Overall Accuracy of LBS

85% <= 25 metres

2364 out of 2420 (97.6%) <= 500 m

Outliers out to 40 to 60 miles!

14Richard J Self - University of Derby

Key Governance Questions

What level of accuracy do you need? 100m, 0.5km, 1km, 10km?

What are consequences of uncertain veracity? To your organisation To your customers and clients

Data Protection Act 1998 implications? Consequences of lack of veracity and

accuracy?