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Architecture and Technology
2015 Technology Trends – AnalyticsJan 14, 2015
Who are we?
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• ITBA – IT-Business Architects• DA – Domain Architects• CA – Consulting Architects
• Technology Program• FFP & NFFP
Analytics is Actionable Insight
Background • Descriptive/Diagnostic Analytics - maturing• Predictive/Prescriptive Analytics – growing• Examples of Descriptive/Diagnostic include
Business Intelligence (BI), Text, Sentiment, Geospatial
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User Expectations • Trust in Data• Consumer Style User Experience• Performance• Agility• Relevance• Enabler to Innovate, Differentiate,
Transform
Analytics Industry Trends
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The ‘New Normal’• Dynamic, converging technologies• In-memory• Big Data• Mobile• Cloud
What’s New• Democratized predictive analytics• Big Data predictive analytics• Cognitive analytics • Edge analytics
Continued Challenges• Data Accessibility• Data Quality• Data Science Skills
Analytics
Competitor State – Analytics
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Columbia Gas Pipeline transforms operations reliability management of 15,000 miles of pipelines with visualization of real time data and predictive analytics.
ARC 9/2014
Shell’s Smart Solution Platform uses predictive analytics framework and ‘Big Data’ from 17,000+ instruments to optimize production, promote safety and avoid environmental issues for deep water assets .
ARC 6/2014
SAP and Shell co-innovate on well and reservoir facility management using HANA to accelerate analytics, business processes and sentiment data processing.
SAP 9/2014
Statoil’s Integrated Environmental Monitoring analyzes high volume of streaming data for early hydrocarbon leaks and environmental impact.
IBM 2014
Anadarko uses topological analysis with subsurface geological, geophysical, petrophysical and production engineering data for exploration appraisal and field development.
Ayasdi 2014
BP uses UAVs (commercial drones) to patrol their Alaskan oil fields/pipelines and GIS (Geographic Information Systems) to integrate photographs, sensor information into 3-D models of roads, pads, pipelines, along with volumetric measurements and topographical analysis. Monitoring Prudhoe Bay since June 2014.
BAH 10/2014
ExxonMobil State – Analytics is at a pivotal point
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• Intensified awareness and interest• Progression to predictive analytics• Diverse data• Business willingness to consider game changing technologies• Increased business self-service• Analytics Day, GIS Day, User Community, IT Fairs
2014 Technology Program Initiatives
Power Query
Power View
Power Pivot
Power Map
APS*
Endeca
Lumira
Design Studio
PIP*
ArcGIS Online
Self-service X X X X X X
Visualization X X X
Dashboard X X
Collaboration X X X X
Agility X X X X X X
Performance X
Data Preparation X
Search based discovery X
Diverse data X X
Predictive X
• Organizations’ focus in ‘the art of the possible’• Enterprise GIS Support – EGS• Analytics Solutions
• Analytics is a strategic skill set
• Technology Program’s focus on new capabilities• Tight Business + EMIT partnership
*APS – Analytics Platform Service*PIP – Predictive Intelligence Platform
ExxonMobil Implications / Plans / Strategy
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Rapid incubation and commercialization of analytics technologies and processes that
1. Can be used by all users2. Simplify access to all forms of data3. Deliver speed and agility4. Focus on data veracity5. Enable business innovation,
differentiation and transformation
Recommendations – AnalyticsKey Drivers Recommendations
• Enable agile analytics deployment and frequent software upgrades for new functionality
• Evaluate – Cloud Analytics (1Q2015) – Salesforce Wave, Microsoft PowerBI, Microsoft Azure Machine Learning, SAP BI OnDemand, SAP HANA Cloud, Watson Analytics
• Incubate/Introduce – Cloud Analytics Platform (s) (1Q-3Q2015)• Incubate – Data Federation (e.g. SAP HANA Smart Data Access) (1H2015)
• Enable performance • Introduce – Microsoft Analytics Platform Service (1H2015)• Incubate – SAP HANA Dynamic Tiering (1Q2015)• Incubate – Hadoop integration to HANA, APS (2H2015)
• Extend existing investments with added capabilities
• Introduce – Voyager Portal (2Q2015)• Introduce – ArcGIS Portal (2Q2015)• Incubate – ArcGIS+OISsoft integration (1H2015)• Incubate – ArcGIS + HANA integration (2H2015)• Incubate – SAP Lumira (business testing) (1Q2015)• Incubate – Integration of targeted web harvest to existing tools, e.g. Endeca/Tableau (2Q2015)• Service Delivery Projects – Upgrade and scale-out existing services (2015)
• Enable predictive analytics (pervasive and game-changing)
• Incubate – SAP Infinite Insight (1Q2015)• Introduce – Predictive Intelligence Platform (PIP) (2-3Q2015)• Organization/Process Change – Promote/Educate Predictive (2015)
• Enable break through analytics • Monitor – Cognitive Analytics (2Q2015)• Monitor – Edge Analytics (1Q2016)
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Backup
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4 10
Self-Serve using Microsoft PowerPivot Some Examples
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Self-Serve using Microsoft PowerView (avail in 2014) Some Examples
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Self-Serve using Tableau Some Examples
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SAP Business Objects with SAP BW data Some Examples
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Search based discovery with diverse data using Endeca Some Examples
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Performance monitoring using Splunk Some Examples
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ArcGIS Online – Ebola Outbreak + ExxonMobil Facilities Some Examples
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ArcGIS Online Storyboard Some Examples