How big data can drive innovative technologies and new approaches in large organisations.

Nick BrownBig Data In Paris, 2016 08 March 2016

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AstraZeneca

AstraZeneca is a biopharmaceutical company with R&D at its core. Our business is providing innovative, effective medicines that make a real difference to patients.

We have grown from agrochemicals and paints, to pharmaceuticals and biologics.

But as we virtualise our activities, working increasingly with external researchers, how we access information, integrate data and leverage knowledge is key to our success.

CTO Office

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Our team was established to create new value by catalysing innovative,

emerging technologies across AstraZeneca

Technology Incubation Labs

Competency Centers

Enterprise Architecture

Multi-disciplinary teams that test new technologies and accelerate platforms to build internal expertise and hands-on experience of potential game-changing technologies whilst focusing on immediate business problems

Established User Experience and Mobility competency centers as key strategic areas for future success. They will develop and be embedded into enterprise capabilities with world-class technology leadership

Providing enterprise leadership to understand the pain points of the business and ensure that proposed technology changes are unified and governed to maximise business value as AZIT develop corporate platforms, workflows and choices

Global Reach

Today we have 3 tech labs. Presence in these key technology clusters gives an early view of emerging technologies, companies and start-ups.

San Francisco is today’s Innovation Capital of the World and our tech lab will facilitate links with innovative research start-ups, venture capitalists and global technology leaders. This office provides new opportunities at the forefront of healthcare digital innovation and major breakthroughs in enterprise technology.

Cambridge is the most dynamic scientific business cluster in the world. We are surrounded by 19 science parks with over 1,500 high-tech companies, world class academic institutions at the bleeding edge of scientific research and key research hospitals like Addenbrookes.

Shanghai is emerging as the top city for tech innovation internationally and is predicted to become the global technology centre within 4 years. Our tech lab is able to tap into novel scientific research & development, advanced engineering, health nanotechnology and robotics.

UK Tech Lab

By having a highly technically skilled and business-savvy team of hands-on experts in our Labs, we quickly assess new technologies and platforms in real-world settings, prioritising on relevant business problems with strategic potential

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It’s key for us to nurture the next

generation of IT leaders so we

work closely with new graduates

and local apprentice schemes.Eddie Wu Izzy Derrig Charlotte Lorains Stefano Elia Sandra Giuliani Josh Mesout

IT Graduate IT Apprentice IT Apprentice IT Graduate IT Graduate IT Graduate

Technology Incubation

We’re designed to research customer problems, understand key insight, scout relevant technology and then validate quickly with rapid prototypes and proof-of-concepts

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We try to embrace Design Thinking and testing concepts early through Lean Start-up principles and then iteratively exploring them further using Agile Development cycles and bi-weekly sprints.

Big Data in Pharma

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AstraZeneca has been tackling big data challenges for over a decade.

VolumeSCALE OF DATA

VarietyDIFFERENT FORMS OF

DATA

VelocityANALYSIS OF STREAMING

DATA

VeracityUNCERTAINTY

OF DATA

Next Generation Sequencing

Whole body imaging

Tissue Microarrays

Sales force optimisation

Clinical trial statistical analytics

High Throughput Screening

Toxicogenomics

Open Innovation Approaches

PowerPoint/Excel content

Structured databases

Predictive Chemistry Modelling

HR employee retention

Real-time news sentiment

experimental data capture

Wearable sensor information

Log analytics in Operations

“Big Data” is never solved by a single technology. It’s not a giant data mart or data model to solve it all

The best way to tackle big data challenges is to try lots of small proof-of-concepts to work out which actually make a real difference to your business.

Unstructured Data

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We have silos of unstructured content, both inside the company and in the cloud.

We initially focused on developing a big-data engine for unstructured R&D content for scientists.

Admin

AccessData Sources

Data

Mappings

Configure

Permissions

Tag

Content

Sinequa

Index

Applications

Web Service

R&D Search

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In 100 days we implemented Sinequa real-time search engine within R&D for

10k users. Covering all scientific information and core internal repositories.

Today, we have over

180 million documents,

searchable sub-second

with key scientific

vocabularies (SciBite)

automatically tagged

and findable.

Users can create alerts

to their favourite topics

but also find every

document relating to a

drug (and every

synonym automatically)

R&D Intelligence

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We built R&D Intelligence to find things you don’t know about ! This computes sentence level co-currence between any two entities to instantly spot new connections

Using this approach,

you can gain insight

and trends across the

entire data corpus, yet

provide visibility and

access to only the

material that you are

entitled to.

Enterprise Search

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With 12 months experience of Sinequa, we developed a new global Enterprise

Search in 8 weeks and launched as part of the new portal, Nucleus. This now

has >60k users with multi-language support.

Search enables us to socialise key

findings from news & documents,

but also chatter, applications,

people and scientific tags –

helping to connect people

together.

Already in pre-production,

indexation of all of our cloud

repositories (Box, Sharepoint,

Veeva etc)

Big Data Engine

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We had developed a big data engine that powers multiple

business applications, not just enterprise search. This

swiss-army knife for search let’s us tackle many problems

R&D News AlertsR&D ChemSearch

Find Partners

Mobile Apps Competitive Intel

Medical Affairs

Mobility: Find People

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We leverage Sinequa as an MBAAS layer for multiple mobile apps

Find people based on all their information such as name, location, job title, biography and skills. Call or email the person you’ve found at the click of the mouse or a touch of the screen. See where a person fits in AstraZeneca’s organisation, who their manager is and if they have any direct reports.

Mobility: Approvals App

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Imagine 1 mobile app that shows all of your employee requests and lets you

approve them easily, compliantly and anywhere in the world.

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simple mobile app for approving

travel, expense, invoice and

procurement requests on the move

senior executives currently testing

beta version

systems across 2 core platforms

integrated today Designed to

handle any approvals, any system

Others now in planning for 2016

Users provided feedback that led to

rapid redevelopments to the

interface. Simplified the information

shown, however still compliant

Currently scaling up for potential roll-out for key users

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50

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Usability

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Even with great feedback, wanted to continually improve usability. In 2015 we

helped establish a new UX competency center in AZIT.

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Enterprise Search

“it finally feels that

you are being

listened to”

“Impressive! An AZ

search engine that

brings back documents

that are useful.”

“Wow ,

news on my

mobile!”

“I see how this

can help make us

a $50B company“

"In all my years, I have

never been able to find the

data until now"

“Can we use

this info in

our app?”

“This is a game changer”

“Can we use this

search for our system”

Watching Real Users

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Helped us implement 40 quick fixes within 5 days but major overhaul to the UI.

Led to improvements in search and usability with 3 bespoke search apps.

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Developed a schedule of UX lab tests for >10 major AZIT platforms to assess

usability and determine potential user-centered improvements for future releases.

Before After

Elastic Cloud Performance

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Sinequa now handles ~2500 queries per min. Designed from the start to

leverage cloud elastic scaling capabilities for responsive performance for 10

users or 70,000 users.

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Happy UsersDockerElastic Beanstalk

By leveraging container technology, we can spin up new services quickly. It’s very

cost-effective and enables new approaches to be easily included in your workflows

Automated video transcription

high precision text analytics

In-Video Search !

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The Azure Media Services cloud platform is able to ingest audio and video files

and automatically generates a >90% accurate transcription (English only)

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By combining Amazon, Docker and Microsoft Azure, we were able to go from first

prototype to global implementation in 7 weeks in our enterprise search platform.

Mobile + Video + Usability

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Developed Proact – mobile app to capture the usability and tolerability of our drugs in clinical trials through patient video diaries.

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• Built using UCD principles with multiple points of view (patient, doctor, analysts, directors)

• From original prototype to pilot in 90 days• Enterprise grade, HIPAA compliant, Secure.• Available on the Google App Store

https://play.google.com/store/apps/details?id=com.astrazenaca.proact

Data & Log Analytics

2020

Even unstructured data engines generate structured data – but big data

opportunities live monitoring of logs from Sharepoint, Ping and Box.

Predictive Modelling

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With larger, complex datasets, machine-learning techniques can accelerate and

increase accuracy of decision making, improving our productivity

Optimised models created using cloud elastic approaches offer another big data engine

opportunity across the enterprise:- salesforce optimisation, employee retention, resource

allocation, patient responder prediction, manufacturing/supply chain improvements.

The Next Big Data Engine ?

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We are really

excited to hear

about new,

emerging

technologies

that could be

the next big

data platform

with enterprise

applicability

across

AstraZeneca.

In true lean-start-up fashion, we are testing something new. If you are a start-up with an

emerging technology that seems relevant, please pitch IT at http://pitchIT.astrazeneca.com

Nick Brown nick.brown@astrazeneca.com

Steve Woodward steven.woodward@astrazeneca.com

Rob Hernandez rob.hernandez@astrazeneca.com

Thank You & Contact