1. Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

2. Who are we? 2 ITBA – IT-Business Architects DA – Domain Architects CA – Consulting Architects Technology Program FFP & NFFP

3. Analytics is Actionable Insight Background Descriptive/Diagnostic Analytics - maturing Predictive/Prescriptive Analytics – growing Examples of Descriptive/Diagnostic include Business Intelligence (BI), Text, Sentiment, Geospatial 3 User Expectations Trust in Data Consumer Style User Experience Performance Agility Relevance Enabler to Innovate, Differentiate, Transform

4. Analytics Industry Trends 4 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

5. Competitor State – Analytics 5 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

6. ExxonMobil State – Analytics is at a pivotal point 6 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-serviceXXXXXX VisualizationXXX DashboardXX CollaborationXXXX AgilityXXXXXX PerformanceX Data PreparationX Search based discoveryX Diverse dataXX PredictiveX 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

7. ExxonMobil Implications / Plans / Strategy 7 Rapid incubation and commercialization of analytics technologies and processes that 1.Can be used by all users 2.Simplify access to all forms of data 3.Deliver speed and agility 4.Focus on data veracity 5.Enable business innovation, differentiation and transformation

8. Recommendations – Analytics Key DriversRecommendations 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 performanceIntroduce – 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 analyticsMonitor – Cognitive Analytics (2Q2015) Monitor – Edge Analytics (1Q2016) 8

9. Backup 9

10.  10 Self-Serve using Microsoft PowerPivot Some Examples

11.  11 Self-Serve using Microsoft PowerView (avail in 2014) Some Examples

12.  12 Self-Serve using Tableau Some Examples

13.  13 SAP Business Objects with SAP BW data Some Examples

14. 14 Search based discovery with diverse data using Endeca Some Examples

15. 15 Performance monitoring using Splunk Some Examples

16.  16 ArcGIS Online – Ebola Outbreak + ExxonMobil Facilities Some Examples

17.  17 ArcGIS Online Storyboard Some Examples