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1 © Copyright 2015 Quintiles Making insights available anytime, anywhere Driving leadership in analytics in an industrial IT age Gary Shorter Head of Advanced Analytics, Quintiles February 5th, 2015

MHA-v0.3 draft

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Page 1: MHA-v0.3 draft

1© Copyright 2015 Quintiles

Making insights available anytime, anywhereDriving leadership in analytics in an industrial IT ageGary ShorterHead of Advanced Analytics, QuintilesFebruary 5th, 2015

Page 2: MHA-v0.3 draft

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Maslow Hierarchy of Analytics

Business drive to Industrial IT through• Combined focus across Data, Analytics, Technology and Business needs• Best software capturing re-usable insights across the Enterprise• Easy to use Self Service of analytic insights anytime, anywhere

Advanced“R&D”

Adaptive “Self Service”

Automation“Industrial”

Technology

Business

Data

Visuals

Lead

Leverage

Learn

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NLP

Clou

d

ML

AI

Seed

Topology

IOT

Quanta-Mining

Popu

latio

n

Achieve Better Personalized Outcomes

Deploy Disruptive Innovation

Access Global Scale with Local Knowledge

Transform Product Development

Embrace Value-Based Efficiencies

Maximize Commercial Value

Advanced ResearchDriving new insights into everyday capabilities

“Upstream Digital Health Analytics feeding

downstream insights”

“Latest cost effective analytics solutions

integrated into systems to provide industrial insights”

“Best in breed smart analytics, process and quality approaches to

insights”

Adv.

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Adaptive “Self Service”

Mobility of data and analytic assets• Secure with SSO access to specific analytic and data resources• Straight forward libraries of consistent data, analytics, visuals• Best in class visualizations, easy to build apps, extendable services

Global mobile access to data and analytic insights

Blend Build Share

“Connected data across

APIs”

“Toolbox of extendable Visuals and Analytics for

insight workflows”

“Libraries of mobile capable, re-usable, quality

controlled insights”

Adaptive

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Automated “Industrialized Analytics”

Business Process Management• Analytic insights imbedded in BPM workflow• Leverages data flow • Learning model that monitors activity and drives efficiency

Automated Business Insights workhorse providing quality guidance

“Toolbox of extendable analytics for supporting automated workflows”

“BPM Workflow utilizing data and analytics”

Analyze Learnings

Review, Adjust,

Automate

Business Actions

Automated

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Dimensions of Functionality

Focused Functionality• What value does the insight provide?• How should the insight be captured? Stream, Network, Back Office?• How can you provide a simple, fresh insight anytime, anywhere?

Each analytic ask has a specific set of functions

Adv.

Adaptive

Automated

ROI Time Power Location Process Usability

Personal

Ecosystem

Large Companies

On the EdgeLength of Ownership

Network• Local• Wide

Back Office• Long Tail Decisions• ROI Bus Model• 3rd Party Apps

Dynamic

Connected

Industrial

On the Edge

Network • Local • Wide

Uniquely Variable

Patterned

Predictable

One Off

Flexible Open Library

Standard but Fresh

Value Volume Velocity Variety Veracity Visuals

COST

LEARN

Advanced

Adaptive

AutomatedBack Office• Long Tail Decisions• ROI Bus Model• 3rd Party Apps

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Thoughts

Business drive to Industrial IT through• Extendable Framework that connects to latest Data, Analytics, Visuals• Re-usable insights that have quality control and user-friendly capabilities• Industrial insights automated through BI solutions into BPM workflows

Analytics imbedded in the road to Industrial IT

TechnologyFirewall

Fire Hydrant

TIME

BusinessTradition

Vision

Data

UniBase

Universe

Analytics

Descriptive

Predictive

Advanced“R&D”

Adaptive“Self Service”

Automated“Industrial”

“Drive Best in Class Industrial

Analytics”

“Lead,Leverage,

Learn”

“With the right extendable framework imbedding analytics into more easy to

access and re-usable insights will ensure maintaining a leadership role in the

industry”.

“Analytics are utilized through libraries at each platform level and insights are in turn

re-analyzed and re-deployed at each platform level in a continuous cycle”.