09/03/2016

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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

www.ceadar.ie/outputs/our-demos/

Customer analytics

Real time analytics

SPAM detection in networks

fraudulent behaviour detection

identifying emerging topics

detecting new user behaviour

Contact centre analytics

Social media analytics

Social fingerprinting

Domain expertise

Supply chain analytics

Sentiment analysis

Video & image analytics

Predictive analytics

New dashboard modalities

CeADAR analytics catalogue

All member companieshave access to:

state of the art analyses

project technical specs

complete catalogue of CeADAR’s IP

assistance with technology evaluations

easy licensing

customer exploration tool

A data analytics tool to allow users, without significant data analytics expertise, to explore any customer segments that they have themselves manually defined in an ad-hoc manner, e.g. for a mobile phone operator, this could be how many women between the ages of 16-20 use their services?

contact centre analytics

Text stream

Issues and

alerts

Automatic speech-to-text transcription Topic modelling

Automatic topic and issue extraction over large volume audio dialogue

Alerting to new and trending topics and tracking of known topics

Applications

– contact centre data

– online video transcription data

– large-volume speech audio domains

real-time continuous analytics

High-throughput scalable clustering for data streams

Live data capabilities to advanced analytics tasks

Solution processes > 3M entities/minute (50K/sec)

Implemented on Apache Storm with commodity hardware

Applications: SPAM detection in networks fraudulent behaviour detection identifying emerging topics in

content streams detecting new user behaviour

and patterns

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time series clustering & analytics

This tool enables the user to extract patterns/events from time series data and to search for patterns/events that are approximately similar to a search pattern or to combine search patterns across multiple time series.

Additionally, the tool allows the user to browse and inspect the output of various time-series representation and clustering approaches simultaneously to determine the most useful

Overview

Develops new techniques and methods to identify users across disparate social networks based on both network-based metadata and content-based features

Applications

• Social fingerprinting: identifying individuals across different networks for user validation, user profiling, fraud prevention etc.

• Identification of domain expertise e.g. for social recruitment or expertise discovery

Social media analytics

NG sentiment analysis• (tool 1) an advanced analytics engine

that filters and ranks content related to specified entities ensuring that only relevant content is delivered to the end-user. Has a customizable user interface that provides meaningful interpretations of the aggregated data

• (tool 2) provides a fine-grained and nuanced understanding of the sentiment expressed in text articles

SmartAdEach advertising channel has different characteristics of form, audience, and customer interaction data. Channels & campaigns interact. Businesses need to analyse these interactions to plan advertising campaigns

SmartAd fuses the information from all channels and creates a model of the system of mutual influences

SmartAd visualises the interactions between different influencer channels and a target channel

The importance of each channel is given by its size. The distance from the target e.g. site visits represents the confidence in the result

Nudge Along: changing user behaviours

Applications

This work benefits any company whichwishes to make sure that theircommunications with customersproduce the required or expectedoutcome. For example, the ability tochange user behaviour is of interest toany company that wishes to see theeffects of a marketing campaign, or acampaign to get staff to save energy intheir offices by switching off lights etc.

OverviewMeasuring the success of any analytics-driven project requires looking beyond the insights that are produced to ways in which these insights are communicated and delivered to ensure that behavioural change takes place

Beyond the DesktopVoice-controlled access to KPIs

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precision agriculture• CeADAR collaborating with a major player

in infrastructure for the poultry & livestock industry in Ireland and the UK

• CeADAR delivering:– Analytics and visualisation on mobile devices

based on real-time analytics of livestock metrics from multiple distributed sensors

CeADAR analytics ecosystemMembers-only events

company showcases

networking events

demo showcases

I&R seminars

Predictive analytics

Real-time analytics

Process analytics

Visual analytics

Open days

Workshops

Ask a CeADAR expert

B2B collaboration

Ecosystem upskilling

2016 Schedule of events

Month Event

Sept Education/training day

John Kelleher & Robert Ross

29 Sept CeADAR Open Day

27 Oct CeADAR Technical Seminar

Analytics & Linked Data

Robert Ross

24 Nov CeADAR Technical Seminar

Introduction to Structured Prediction

John Kelleher

Dec EI Innovation Showcase

Month Event

Feb CeADAR The Big Reveal

Showcase of current and previous demos

9 March

CeADAR event at IBEC/ISIN

What data analytics can do for you: lessons from the CEOs

Dave Harland CEO, OmnicomMedia

Maurice Lynch CEO, Nathean

Michael Brosnan Chair, CeADAR

Edward McDonnell CeADAR

7 April CeADAR Technical Seminar

Feature selection in predictive analytics

Professor Pádraig Cunningham

28 April CeADAR Industry Showcase

26 May CeADAR Industry & Research Seminar

Predictive Analytics

Brian MacNamee + Crème Global

Delivering value with CeADAR

become a member

propose new projects

partner on projects

evaluate demonstrators

ecosystem engagement

commission projects

workshop participation

collaborate in H2020edward.mcdonnell@ucd.ie