20160309_ceadar analytics centre_introduction_edward mcdonnell
TRANSCRIPT
09/03/2016
1
what analyticscan do for you:lessons from the CEOs
agenda
08:30-08:45Welcome
Dave Feenan, ISIN &Emer Cummins FIT
08:45-09:05 Setting the scene
Edward McDonnellCentre DirectorCeADAR
09:05-09:25Case study
Maurice Lynch, CEONathean
09:25-09:35How CeADAR works
Mike Brosnan, ChairCeADAR
09:35-09:55Case study
David Harland, CEO &Tom Harper, Head of Analytics
Omnicom Media Group
09:55-10:15 CeADAR’s analytics toolsets
Edward McDonnellCeADAR
10:15-10:30
Q&A and networking
setting the scene
analytics?
its promise
the data scientist
a new paradigm
analytics?analytics (OED)• the systematic computational analysis of data
• information resulting from the systematic analysis of data
analytics (Wikipedia)analytics is the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Analytics often favours data visualisation to communicate insight.
datafication of everything90% of the world’s data was created inthe last 2 years [IBM]
social media e.g. tweets, blogs, emails …
books, web sites, corporate and legal documents, …
sensors in buildings, cars, utilities …
videos, images, audio, …
‘smart cities’ and ‘smart spaces’
citizen data e.g. population health records, census data
mobile phones e.g. call, data logs, GPS, …
characteristics of big data
The 4 ‘V’s of big data:
Volume: huge amounts of data to be analysed
Velocity: speed at which data is generated and
consequently the speed at which it may need to
be processed e.g. in real time
Variety: data comes from a variety of disparate
sources in structured (e.g. spreadsheets),
unstructured (e.g. tweets) and
semi-structured (a combination of both) formats
Value: delivers business insight to deliver better
business decisions
There is also the potential challenge of the unknown
veracity of the data
09/03/2016
2
the promise of data analytics:hidden insights, greater objectivity and greater accuracy
Better decision-making, planning and forecasting driven by data not the HIPPO’s“gut instinct” (highest paid person in the organisation)
Better more personalised and sophisticated customer engagement
Improved productivity and better scheduling for more efficient organisations
Better fraud detection
Fidelity Internal Information
Source: IDC
Better product and service offerings
Increased customer satisfaction/loyalty
Increased customer revenue
Reduced customer support costs
Improve internal staffing and comms by
understanding better staff motivations, causes
of attrition and the benefits of training
analytics in the enterprise
the data scientist
Data science is an emerging discipline which brings with it scarcity and competition for top talent, high cost and inflated expectations
The data scientist must combine diverse skills:• An understanding of business
problems and business value
• Ability to identify, capture, process,
combine and analyse very large
distributed data sets
• A familiarity with complex
mathematics, statistics and
algorithmics
• Visualisation, creative flair and
communication skills to engage at the
executive level
Their current native habitat is in quantitative analysis in financial services and in engineering modelling and simulation
The ultimate goal is the democratisation of data science where easy-to-use tools bring sophisticated analytic techniques to the non-specialist (e.g. Google analytics)
CeADAR: centre for applied data analytics
CeADAR is amarket-led centre
focussed on thedevelopment and
deployment ofbig data analytics
technology and innovation for the
competitive advantage
of its member companies
CeADAR: bridging the gap
TRL 1 TRL 2 TRL 3 TRL 4 TRL 5 TRL 6 TRL 7 TRL 8 TRL 9
University CeADAR Enterprise
Basicprinciplesobserved
System proventhrough fullcommercialapplication
Technologyvalidated
in lab
Systemprototypedemo’ed
in operationalenvironment
• Basic research& technology creation
• Market push• Technology driven
Product developmentand commercialisation
• Application development& proof of concept
• Business-value driven• Market pull/need-driven
CeADAR’s market-defined themesrevising the DDN
‘beyond the
desktop’
ease of
interaction
changing user
behaviour
passive analytics
reduce data
management
effort
data validation
data curation
harnessing the
power of open
data
causation
challenge
social trending &
contextualisation
continuous
analytics
predictive
analytics
visualisatio
n &
analytic i/fs
advan
ced an
alytics
data m
anage
men
t
09/03/2016
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our offerings agenda
08:30-08:45Welcome
Dave Feenan, ISIN &Emer Cummins FIT
08:45-09:05 Setting the scene
Edward McDonnellCentre DirectorCeADAR
09:05-09:25Case study
Maurice Lynch, CEONathean
09:25-09:35How CeADAR works
Mike Brosnan, ChairCeADAR
09:35-09:55Case study
David Harland, CEO &Tom Harper, Head of Analytics
Omnicom Media Group
09:55-10:15 CeADAR’s analytics toolsets
Edward McDonnellCeADAR
10:15-10:30
Q&A and networking