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Democratization Accelerate Path to An Insight‐Driven Organization Andrew Park Big Data Analytics, Micro Focus
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Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

Jan 22, 2018

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Page 1: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

DemocratizationAccelerate Path to An Insight‐Driven Organization

Andrew ParkBig Data Analytics, Micro Focus

Page 2: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

DISCOVER THE NEW…

Portfolio InnovationCompanyCombined

Page 3: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

The New Combined Company:Built on stability, acquisition and innovation

COBOL

Years 40

Network Management/Data Protector

Years 30

Page 4: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

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37.7

26.4

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6.5 4.8 4.4 4.1 3.6 3.5 3.4 3.2 3.0 2.5 2.3 2.3 2.2 2.2 2.2 2.0 2.0 2.0 1.9 1.8 1.8 1.7 1.4 1.2 1.1

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Combined Micro Focus: An Industry Shaper

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Page 5: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

“Better Together” Portfolio Has Breadth and Depth3

IDOLBig Data Analytics

Workload Migration

Cloud

Cloud Service Automation, Hybrid Cloud Management

Information Governance

Digital Safe, Data Protector, 

Control Point, Structured Data Manager, 

Storage Optimizer 

Linux &Open Source

Enterprise Linux, OpenStack Private Cloud, Software‐defined Storage

Security

Identity‐based AccessGovernance  and Security

Unified Functional Testing

DevOps

Cobol Development, Software Delivery 

and Testing

IT Operations

Service Management, Operations Bridge,  

Data Center Automation, 

Network Management

Mainframe Solutions, IT Operations Management,

Host Connectivity, Collaboration

Information Governance

Digital Safe, Data Protector, 

Control Point, Structured Data Manager, 

Storage Optimizer 

Linux &Open Source

Enterprise Linux, OpenStack Private Cloud, Software‐defined Storage

Page 6: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

Key industry challenges driven by big data issues

Financial Services Consumer Industries and Retail

Manufacturing Public Sector

‒ Regulatory compliance‒ Capital optimization‒ Customer‐centricity‒ Cost management‒ Growth/increase wallet share

‒ Omni‐channel success‒ Enabling optimal store execution

‒ Digital transformation‒ New product launch success‒ Risk management‒ Supply chain visibility

‒ Warranty and quality analytics‒ Fraud detection‒ Digital asset management‒ Supply chain visibility‒ Vehicle diagnostics analytics‒ Early warning defect detection

‒ Asset protection‒ Counter terrorism / citizen safety‒ Transparency in governmental Agencies

‒ Traffic flow optimization‒ Situational awareness

Energy Health & Life Sciences Travel andTransportation

Communications, Media and Entertainment

‒ Optimize operations‒ Improve computing throughput‒ Deliver information remotely‒ Accelerate customer insights

‒ Fraud and abuse‒ Patient engagement ‒ Optimizing patient care‒ Reducing healthcare costs‒ Supply chain / distribution‒ Drug development / scientific research

‒ Improving operations‒ Maximizing ancillary revenues‒ Customer loyalty‒ Predictive MRO analytics‒ Yield and revenue management‒ Supply chain visibility

‒ Broadcast monitoring‒ Churn prevention‒ Advertising optimization

Page 7: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

Data‐driven makes digital transformation revolutionaryFrom marginal impact to superior business outcomes

7

DataLimited business dataSilo‐ed apps

PeopleNot understanding the valueSilo‐ed departments

InsightsReactive, hindsight analyticsMonolithic reports, not real‐time

Past & NowDataLeverages all relevant dataAnalyze across disparate setsIntegrated across apps

People & ThingsExecutives to line employeesInstrument & automated processInformed by all relevant data

InsightsProactive, predictive analyticsAnalytics‐apps on every platformClose loop: policy to process to outcome

Today & Next

Page 8: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

Flow of data from Source to Insights

8

Data Collection challenges – Real time and Historical

Data engineering Challenges

Data Cleaning Challenges

Data Enrichment Challenges Real‐time Analytics 

ChallengesPredictive Analytics 

Challenges

Large Scale Reporting Challenges

Machine Learning/Automation 

Challenges

Upstream Downstream

Page 9: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

An Open Architecture Integrated with Rich Ecosystem

9

Page 10: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

Rapid Deploy Solutions (RDS)Purpose built solution templates and provisioning services for industry use‐cases

Pre‐built dashboardsRapid Deploy Application Templates

Aggregate Dashboards Segmentation Console

Use‐case Analytics Use‐case workflows

Rapid Deploy Provisioning Services

Big data analytics domain experts

Customer 3600 Healthcare Analytics Predictive Maintenance Analytics

10

Industry Best Practices for Analytics Use Cases

Safe City Analytics

Page 11: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

Powering Intelligence EngineOn time delivery of business critical metrics

Challenge– Establish a one‐stop shop for business intelligence across multiple products and lines of business at global financial services firm

Result– Handle volume, variety and velocity of Big Data (24 TB database, 7 TB compressed)

– Analyze historical data on 20 billion transactions

– Support calculations across several multi‐million‐record tables to derive 300‐500 financial attributes in small processing window

Page 12: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

Yellowpages uses a 1,000 node, 5 PB Hadoop data repository and Vertica SQL on Hadoop to explore 3.5 billion events per day to optimize the experience of its 70 million unique users on YP.com

Page 13: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

Auckland Transport gathers, analyzes, and distributes vast amounts of data in real‐time to improve safety for pedestrians, cyclists and motorists, while also improving traffic flow and reducing congestion.

Page 14: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

Our Customers – we helped them to become insight driven

Page 15: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

Key Take Away

• Scalable Advanced Analytic Platform• Inter‐Operability• Easy Use

Page 16: Andrew Park - Democratisation - accelerate your path to becoming an insight-driven organisation - FutureData 2017

Thank You