andrew park - democratisation - accelerate your path to becoming an insight-driven organisation -...
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DemocratizationAccelerate Path to An Insight‐Driven Organization
Andrew ParkBig Data Analytics, Micro Focus
The New Combined Company:Built on stability, acquisition and innovation
COBOL
Years 40
Network Management/Data Protector
Years 30
90.0
37.7
26.4
8.9
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
#12
HPE
SW
CO
MBI
NED
Mic
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#7
Mic
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#28
“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
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
Data‐driven makes digital transformation revolutionaryFrom marginal impact to superior business outcomes
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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
Flow of data from Source to Insights
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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
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
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Industry Best Practices for Analytics Use Cases
Safe City Analytics
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
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
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.