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Enterprise-caliber Cloud BI THE ANALYTIC TRIFECTA: July 16, 2014 ABSTRACTION, THE CLOUD, AND VISUALIZATION

The Analytic Trifecta: Abstraction, the Cloud, and Visualization

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Twenty-first century pharma and biotech organizations are rapidly transforming into data-driven companies. This transformation is critical, future success and discoveries hinge on the ability to quickly and intuitively leverage, analyze, and take action on its data. In this webinar Lindy Ryan, Research Director at Radiant Advisors, will share her research on how companies successfully manage this transformation by embracing a data unification strategy that’s built on cloud technologies. Join us and learn how life sciences companies use cloud technology to: Create a flexible infrastructure with the ability to agilely and quickly unify multiple data sources TProvide a framework that enables business user agile data access while addressing governance and compliance challenges Balance the need for data democratization while maintaining proper IT oversight and stewardship

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Page 1: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

Enterprise-caliber Cloud BI

THE ANALYTIC TRIFECTA:

July 16, 2014

ABSTRACTION, THE CLOUD, AND VISUALIZATION

Page 2: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

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WEBINAR NOTES

Please send questionsusing the online interface

Attendees muted upon entry

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Lindy RyanResearch Director, Data Discovery & Visualization Radiant Advisors

Lisa De Nero

Director, Life Sciences Solutions Birst

FEATURED SPEAKERS

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AGENDA

1. Analytic Trifecta Key Considerations

2. Resolution to the Analytic Trifecta

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© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

ANALYTIC TRIFECTAKEY CONSIDERATIONS

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Birst Webinar --- Life Sciences

July 16, 2014 | 10am PT

Lindy Ryan | Research Director, Data Discovery & Visualization

@lindy_ryan [email protected]

Page 6: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

TODAY’S LIFE SCIENCES COMPANIESAnalytic Trifecta

Life sciences

companies are

becoming even more

data-driven, and are

challenged by a lack of

integration agility, slow

time to insight, a bevy

of compliance and

regulatory challenges,

and nonstop change

and growth.

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Page 7: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

LIFE SCI INFORMATION CHALLENGESAnalytic Trifecta

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Integration

Challenge

Management

Challenge

Discovery

Challenge

Page 8: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

THE INTEGRATION CHALLENGEInformation Challenges in Life Sciences

• Reliable and speedy

access

• Standards-based data

• Options to publish data

• Ability to transform data

• Reusability of data views

• Agility to respond to

change

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Page 9: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

THE MANAGEMENT CHALLENGEInformation Challenges in Life Sciences

• Sharing consistent data

• Managed access rights

• Enterprise governance

program

• Implementation-capable

technology

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Page 10: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

THE DISCOVERY CHALLENGEInformation Challenges in Life Sciences

• Balance discovery vs. IT

• Self-sufficient discovery

• Control proliferation

• Scalable solution

• Analytics and

visualization

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Page 11: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

SOLUTIONS TO CHALLENGESAnalytic Trifecta

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Choosing

Abstraction

Centralizing

Context

Visual

Self-Service

Page 12: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

CHOOSING ABSTRACTIONKey Considerations for Analytic Solutions

• Support decision-making

• Reduce silos

• Embed context to data

• Overcome incompatibilities

• Provide flexibility

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Page 13: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

CENTRALIZING CONTEXT IN THE CLOUD

Key Considerations for Analytic Solutions

• Scalable and affordable

• Centralize context

• Foster collaboration

• Agile

• Abstraction closer to data

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Page 14: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

SELF-SERVICE VISUALIZATIONKey Considerations for Analytic Solutions

• Visually and iteratively

discover

• Meaningful collaboration

• Highly-interactive

• Less IT-dependence

• Requires semantic layer

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Page 15: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

DEMOCRATIZE THROUGH INTEGRATIONSelected Use Case

GlaxoSmithKline

used text analytics to mine

parenting websites

to analyze sentiment and

reconsider how

it communicates

information to consumers.

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Page 16: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

THE CLOUD AS A RESEARCH ENABLERSelected Use Case

Eli Lilly

launched a 64-machine

cluster

in the cloud to circumvent

“spiky utilization”

and achieve significant

time and cost

savings.

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Page 17: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

VISUALIZING FOR RESEARCHSelected Use Case

Project:EVO

is a collaboration between

Pfizer and Akili Interactive

Labs to to measure

cognitive differences to

identify

early warning signs of

Alzheimer's disease.

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© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

SUMMARYAnalytic Trifecta

• Choose abstraction

• Embed context through semantic layer

• Leverage cloud technologies

• Enable business users

radiantadvisors.com/key-considerations-for-

analytic-solutions-for-life-sciences/

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Page 19: The Analytic Trifecta: Abstraction, the Cloud, and Visualization

© Copyright 2014 Radiant Advisors. All Rights Reserved v1.10.000

THANK YOU!

For more informationwww.RadiantAdvisors.com

Twitter: @RadiantAdvisors #ModernBI #RediscoveringBI

RSS: feed://radiantadvisors.com/feed/

Email: [email protected]

LinkedIn: www.linkedin.com/company/radiant-advisors

RediscoveringBI: www.radiantadvisors.com/rediscoveringbi

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Enterprise-caliber Cloud BI

INTRODUCING BIRST TO RESOLVE THE ANALYTIC TRIFECTA

July 16, 2014

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• Data Governed by a unified semantic layer• Unification of Data – Multiple data sources• True Ad-Hoc with logical boundaries

HOW THE BIRST TECHNOLOGY PLATFORM CAN FULFILL LIFE SCIENCES’ 21ST CENTURY BI NEEDS

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WHO IS BIRST

• Enterprise-Caliber BI Platform – born in the cloud

• 10,000+ organizations rely on Birst across all verticals

• Founded by Siebel Analytics veterans, OBIEE

• 80+ Strategic Partners

“ No. 1 in product functionality and customer (that is, product quality,

no problems with software, support) and sales experience.”

2014 Business Intelligence and Analytics Magic Quadrant

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BUSINESS INTELLIGENCE IS HARD BECAUSE BUSINESS IS COMPLEX

• The part you see—dashboards, charts, etc.— is eye candy. The easy part.

• It’s the collection, combination, integration, de/coding, transcribing and cleansing of organizational data into a usable format that is hard.

• Doing so on a repeated basis, over time is harder.

• Business rules rarely allow you to just “add-up” data.

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Data Governance

Inconsistent siloed results, lacking security and validation

THE DICHOTOMY…

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BIRST AUTOMATES THE DATA WAREHOUSE COMPLEXITY - MADE AGILE AND SIMPLE

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Get Data(Connect to Source

Applications)

Automated Data WarehouseAutomated Data Model

Intelligent caching /routingLogical Layer

Arrange Data(De-normalize Data)

Make data analytic-ready(Create Dimensional

Model)

Give data business meaning

(Create Business Model)

Answer business

questions(Visualize Analytics)

AUTOMATED MODELING AND DWHSPEEDS DEPLOYMENT AND DEVELOPMENT CYCLES

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AUTOMATED MODELING AND DWHSPEEDS DEPLOYMENT AND DEVELOPMENT CYCLES

Get dataConnect to

Source Applications

Arrange dataDe-

normalize Data

Answer business questions

Visualize analytics

Make data analytic-

readyCreate

dimensional model

Give data business meaning

Create business model

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AUTOMATED MODELING AND DWHSPEEDS DEPLOYMENT AND DEVELOPMENT CYCLES

Automated Data Warehousing AND Automated Data Modeling

Intelligent caching /routingLogical Layer

Get dataConnect to

Source Applications

Arrange dataDe-

normalize Data

Answer business questions

Visualize analytics

Make data analytic-

readyCreate

dimensional model

Give data business meaning

Create business model

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ANALYTICS NEEDS VARY

Financial Advisor

Product Manager

VP ofSupply Chain

Why do we spend so much time arguing over who has the “right” number?

Distribute a report looking exactly this way

every morning to thousands of clients

I want to track performance in a

specially designed dashboard

Sales Ops Manager

Can I ask some ad-hoc “business” questions –

without touching the dirty data?

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TOOLS FOR EVERY USE CASE

Pixel PerfectEnterprise Reporting

Distributed InteractiveDashboards

Visual Data Discoveryand Exploration

PredictiveRecommendations

Rich Analytic Design Mobile Analytics

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Automated Data

Management

Automated Historical &

Analytic Data Store

LogicalLayer

Smart AnalyticEngine

Enterprise Reporting

ENTERPRISE CALIBER CLOUD BIONE LOGICAL MODEL IN ONE LOGIN

Interactive Dashboards

Visual Discovery

Design Studio

Mobile Analytics

Predictive Analytics

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Business

• Top 15 Global Life Sciences Company

Challenges• Include digital marketing for better

engagement with HCPs and Patients• Global BI at business speed for sales &

marketing • Flexibility in sales rep count across product

launches• Disparate data sources lack “conformed

dimensions”• Lack of One Version of the Truth – current

solution has multiple instances and inconsistencies

OPTIMIZED LIFE SCIENCES SALES

WebSources

Results• Agility to include multiple, new data sources• Better, targeted messaging to HCPs• Self-sufficient “specialist”, managers,

executives• Cloud solution < 6 weeks to deploy• Increased New Patient Starts 10%Why Birst ?• Flexibility, agility• No hardware investment• Business user friendly – NO training• Pre-packaged offering lacked flexibility, too

heavy• Full stack in one code base – 1 skill set; 1

solution• One global solution – unified version of the

truth

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BIRST LIFE SCIENCES ANALYTICSSales and Marketing Analysis

• New Rx and Total Rx• Call reach and frequency• Percent to goal• Top prescribers and top decliners• Pending patients• Market share• % sales target achieved vs. % budget spent

Patient Analysis • Patient profile and demographics• Target individuals and demographics

Digital Marketing Analysis • How Can I reach my target?• Once the audience is identified, analyze insights to broaden scope of campaigns• What is the optimal mix while maintaining regulatory compliance?

Product Analysis • Treatment outcome• Patient historical trend

Supply Chain Analysis • Shelf time• Inventory in retail and pharmacy

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DEMO

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LEARN MORE• Download 2014 WOC Report

– Birst.com/wisdom2014

• Join us for a Live Demo

– Every Tues and Thurs @ 11:00 am PT/2:00 pm ET

– birst.com/livedemo

• Contact us

[email protected]

– (866) 940-1496 (or +1 415-766-4800)

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THANKS