17
Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

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

Embed Size (px)

Citation preview

Page 1: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

Architecture and Technology

2015 Technology Trends – AnalyticsJan 14, 2015

Page 2: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

Who are we?

2

• ITBA – IT-Business Architects• DA – Domain Architects• CA – Consulting Architects

• Technology Program• FFP & NFFP

Page 3: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

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

Page 4: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

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

Page 5: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

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

Page 6: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

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-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

Page 7: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

ExxonMobil Implications / Plans / Strategy

7

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

Page 8: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

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)

8

Page 9: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

Backup

9

Page 10: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

4 10

Self-Serve using Microsoft PowerPivot Some Examples

Page 11: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

4 11

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

Page 12: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

4 12

Self-Serve using Tableau Some Examples

Page 13: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

4 13

SAP Business Objects with SAP BW data Some Examples

Page 14: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

14

Search based discovery with diverse data using Endeca Some Examples

Page 15: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

15

Performance monitoring using Splunk Some Examples

Page 16: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

4 16

ArcGIS Online – Ebola Outbreak + ExxonMobil Facilities Some Examples

Page 17: Architecture and Technology 2015 Technology Trends – Analytics Jan 14, 2015

4 17

ArcGIS Online Storyboard Some Examples