3
29/11/2017 1 [email protected] data analytics: evidence–based decision making CeADAR Centre for Applied Data Analytics 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 The rise and rise of data analytics & machine learning Google searches for the terms: data analytics, data scientist, big data and machine learning 1996 Database marketing 1994 CeADAR: centre for applied data analytics CeADAR is a market-led centre focussed on the development and deployment of big 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 Basic principles observed System proven through full commercial application Technology validated in lab System prototype demo’ed in operational environment Basic research & technology creation Market push Technology driven Product development and commercialisation Application development & proof of concept Business-value driven Market pull/need-driven www.ceadar.ie/outputs/our-demos/ customer analytics real time analytics fraudulent behaviour detection identifying emerging topics detecting new user behaviour contact centre analytics social media analytics Social fingerprinting Domain expertise text analytics Location-based analytics sentiment analysis video & image analytics predictive analytics machine learning

and sophisticated customer support costs data analytics introduction and projects 27... · 29/11/2017 1 [email protected] data analytics: evidence–based decision making CeADAR

Embed Size (px)

Citation preview

29/11/2017

1

[email protected]

data analytics:evidence–based decision making

CeADAR Centre for Applied Data Analytics

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 InformationSource: 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

The rise and rise ofdata analytics & machine learning

Google searches for the terms: data analytics, data scientist,big data and machine learning

1996

Databasemarketing

1994

CeADAR: centre for applied data analytics

CeADAR is amarket-led centre

focussed on thedevelopment and

deploymentof big 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

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

▪ customer analytics

▪ real time analytics

fraudulent behaviour detection

identifying emerging topics

detecting new user behaviour

▪ contact centre analytics

▪ social media analytics

Social fingerprinting

Domain expertise

▪ text analytics

▪ Location-based analytics

▪ sentiment analysis

▪video & image analytics

▪predictive analytics

▪machine learning

29/11/2017

2

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 analytics of big fast data

▪ 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

synthetic dataset generator

BlockChain & Smart Contracts Next Gen 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

29/11/2017

3

CrowdTrack: location-based analytics analytics in the energy industries

•Brownfield engineering services•Predictive analytics of system component integrity (predictive maintenance/risk pricing)•Reduced inspection, intervention and maintenance costs•Analytics of actual vs. expected output power

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

▪ customer analytics

▪ real time analytics

fraudulent behaviour detection

identifying emerging topics

detecting new user behaviour

▪ contact centre analytics

▪ social media analytics

Social fingerprinting

Domain expertise

▪ text analytics

▪ Location-based analytics

▪ sentiment analysis

▪video & image analytics

▪predictive analytics

▪machine learning