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Accelerating Business Insight through Information Supply Chains ABSTRACT The world is recovering from the worst economic downturn since WWII. A tepid recovery, unpredictable energy prices and regulatory uncertainty necessitate improved prioritization and risk management in the Energy Industry. These business imperatives demand competition- beating delivery of technology and services by Chevron’s Information Technology Company. In support of this goal, Chevron has started a three year Data Quality Transformation Program targeted at accelerating business insight. This presentation discusses Chevron’s business challenges in the Energy Value Chain and describes the key role that Decision Insights derived through Information Supply Chains play as the solution. A target architecture focused around Chevron’s top information assets is introduced. In addition, Chevron’s migration path towards this architecture inclusive of Enterprise Architecture governance, the Transformation Program Team and the Data Management run-time organization is being highlighted. BIOGRAPHY Sebastian Gass Enterprise Architect Chevron Sebastian Gass is Chevron’s Enterprise Architect in charge of the company wide Information Architecture and Strategy. Over the last year, Mr. Gass developed a strategy, architecture and deployment framework that led to an Enterprise wide, three year, Data Quality Transformation Program. Prior to joining Chevron, Mr. Gass was CTO and EVP of hubwoo.com, a leading OnDemand Source to Pay Application Service Provider. While at hubwoo, he was credited with building one of the Industry’s first and most scalable transaction and content offering on an OpenSource platform. Mr. Gass began his career with SAP where he was instrumental in leading SAP’s Supply Chain Management initiative and development for High Tech. Mr. Gass holds a M.S. in Engineering Management from Stanford University and a Dipl. W.-Ing. (M.S. /M.B.A.) in Business & Engineering from the Karlsruhe Institute of Technology (KIT), Germany. The Fourth MIT Information Quality Industry Symposium, July 14-16, 2010 549

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Page 1: Accelerating Business Insight through Information Supply ...mitiq.mit.edu/IQIS/Documents/CDOIQS_201077/Papers/05_04_7C-2.pdf · Accelerating Business Insight through Information Supply

Accelerating Business Insight through Information Supply Chains ABSTRACT The world is recovering from the worst economic downturn since WWII. A tepid recovery, unpredictable energy prices and regulatory uncertainty necessitate improved prioritization and risk management in the Energy Industry. These business imperatives demand competition-beating delivery of technology and services by Chevron’s Information Technology Company. In support of this goal, Chevron has started a three year Data Quality Transformation Program targeted at accelerating business insight. This presentation discusses Chevron’s business challenges in the Energy Value Chain and describes the key role that Decision Insights derived through Information Supply Chains play as the solution. A target architecture focused around Chevron’s top information assets is introduced. In addition, Chevron’s migration path towards this architecture inclusive of Enterprise Architecture governance, the Transformation Program Team and the Data Management run-time organization is being highlighted. BIOGRAPHY Sebastian Gass Enterprise Architect Chevron Sebastian Gass is Chevron’s Enterprise Architect in charge of the company wide Information Architecture and Strategy. Over the last year, Mr. Gass developed a strategy, architecture and deployment framework that led to an Enterprise wide, three year, Data Quality Transformation Program. Prior to joining Chevron, Mr. Gass was CTO and EVP of hubwoo.com, a leading OnDemand Source to Pay Application Service Provider. While at hubwoo, he was credited with building one of the Industry’s first and most scalable transaction and content offering on an OpenSource platform. Mr. Gass began his career with SAP where he was instrumental in leading SAP’s Supply Chain Management initiative and development for High Tech. Mr. Gass holds a M.S. in Engineering Management from Stanford University and a Dipl. W.-Ing. (M.S. /M.B.A.) in Business & Engineering from the Karlsruhe Institute of Technology (KIT), Germany.

The Fourth MIT Information Quality Industry Symposium, July 14-16, 2010

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© Chevron 2010

This document is intended only for use by Chevron for presentation at the MIT Info Quality Industry Symposium. No portion of this document may be copied, displayed, distributed, reproduced, published, sold, licensed, downloaded,

or used to create a derivative work, unless the use has been specifically authorized by Chevron in writing.

Accelerating Business Insight through Information Supply Chains

MIT Info Quality Industry Symposium

Sebastian GassEnterprise ArchitectChevronProcesses & Application and Data (PAD) Architecture & Strategy

July, 2010

© Chevron 2010 MIT Information Quality Industry Symposium • July 2010 2

Tepid Recovery:Price (Goldman Sachs: $90/b, Trader: :$43/b) and demand (~86 b/d) are mostly unpredictable.

Industry Outlook:70 to 90 mb/d gap by 2040 mostly through non OECD demand growth. Decline is not new, yet challenge is increasing.Wildcard Iraq: Potential of adding up to 10mp/d over the next 20years.Low cost refineries in Asia necessitate portfolio strengthening and de-costing of Downstream Supply Chain.Climate change, energy security. Alternatives still not significant.

Technology Trends:Hyper-connected enterprise and consumer world. Alternative delivery models (cloud, SaaS) and blurring lines between applications and infrastructure.From ERP backbone to Information Superstructure (i.e. from transaction to context-aware and –enriched computing)

Trends in the Energy Industry

The Fourth MIT Information Quality Industry Symposium, July 14-16, 2010

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© Chevron 2010 MIT Information Quality Industry Symposium • July 2010

Chevron’s Supply Chain: From Well to Wheel

flexible = risk mgmt. efficient = margin business

Explore & Develop

~ $16B Capital

Investment annually

~ 11.9BBOE P1 Reserves

~ 146% reserve

replacement (08)

Production

~ 2.7 MBPD

Manufacturing

~ 2 MBPD

Trading

~ 6 MBPD

Ship & Store & Pipe & Distribute

~ 365 MB annually by Chevron Shipping

Market

~ world demand85 MBPD

© Chevron 2010 MIT Information Quality Industry Symposium • July 2010

Info Supply Chain: From Data to Decision

Explore & Develop

ProductionShip & Store & Pipe & Distribute

Trade ManufactureMarket

WellProduction SC Profit

Spatial

FinancialsReserves

Equipment

Marine and PipelineSchedules

SupplierSpend

Employee

Design time vs. run time“e.g. equipment”

Decision:• Equipment maintenance history, spare part management

Data:• Equipment life cycle turn-over from major capital project to base business (i.e. from design and engineering to maintenance and spare parts)• Cross-reference system based on ISO 15926 standard information object.

Classic integration“e.g. well”

Decision:• P/L per well, well logs per well, wells with common characteristics, production per well

Data:• Classic re-use of well header in well stream, production allocations and reporting• System of Record data needs to be integrated into different systems.

P CPlanning Horizons

“e.g. Marine and Pipeline Scheduling”

Decision:• Terminal forecast, inventory, S&OP and refinery optimization plan

Data:• Closed loop planning across different constraint granularity levels is required.• Integrated data model for info object and constraint set.

The Fourth MIT Information Quality Industry Symposium, July 14-16, 2010

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© Chevron 2010 MIT Information Quality Industry Symposium • July 2010

Accelerating Business Insights

5

Equipment: Which types of equipment have the highest failure rates and in what operating conditions do these occur? What is the spare

part required? What is the most cost effective source?

Headquarters

Production

MidstreamRefining

Marketing

Retail

Trading

Upstream

Downstream

Marketing

Exploration

Location/Spatial: Will new construction collide with an

older pipeline?

Supplier Spend Activity: What is our total spend for third party waste stewardship? What is our total spend with

Halliburton?

Facility: What facilities could support new production around the exploration target ?

Asset Development Plans: What are the future development

activities for an asset?

Well: What are all the logs associated with a particular well?

Production: What is the decline curve per field? How much did we produce this year to date?

Reserves: What is our reserve replacement

ratio?

Seismic Data: What is the seismic data for a given field or region?

Image Source: SAP, Improving Business Insight & Operational Excellence 2009

Supply Chain / Customer Profitability: What are the

highest net profits per customer, region and product

within Downstream SBUs?

Marine and Pipeline Schedules: What product commitments/sales are planned for the next 7 days that cannot be met by equity product from the Pascagoula

refinery?

Financial: What is the historic, current and projected spend by General Ledger coding block?

Employee/Contractor: Who do we contact in case of an emergency involving employees and

contractors?

© Chevron 2010 MIT Information Quality Industry Symposium • July 2010

Bus

ines

s Val

ue C

reat

ion

Time

From Data to Decision

ReferenceData

MasterData

TransactionData

AnalyticalDecision

The Fourth MIT Information Quality Industry Symposium, July 14-16, 2010

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© Chevron 2010 MIT Information Quality Industry Symposium • July 2010

Enterprise InfoObject

(master, transactional,reference, meta)

7

Person

Employee

Birth Date

SAPPA0002

ConceptualInformation

Model

PayrollProcessing

Location

Facility

Chevron Logon ID

GUID

EPHPA0105 (9004)

ADF580604

CountryCode

Agreement

SOW

Vendor ID

MSA

Physical DataTable

Data Standards

© Chevron 2010 MIT Information Quality Industry Symposium • July 2010 8

System & Application Backbone

ERP

InfoObjects

Data Supply and Composite App Logic

Integration Patterns

Data Distribution

Target Architecture and Org Capability

Next Generation BIDashboards

Datamart

Reports

SCADA BU SpecificApps Desktop Foundation

ODS StagingDatamart

Integration Patterns

AI Systems

Application and System Backbone

Analysis InformationArchitecture

Metadata

Design vs.run-time control

Connect-ivity

Info Object

Supply C

hain Monitoring

ReportingBusinessReportingLanguage

MasterData

Consumer&

ProducerDetection

The Fourth MIT Information Quality Industry Symposium, July 14-16, 2010

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© Chevron 2010 MIT Information Quality Industry Symposium • July 2010 9

EnterpriseArchitecture

Data Assets &Analytics

IMTransform.Program

Data Quality &Standards

Governance

MSP

IM Transformation:Top Info Asset IdentificationInfo Scope and Value DefinitionData Quality FrameworkQuality base-liningBusiness Value Realization

Enterprise ArchitectureData StandardsSystem of Record designation and approvalsIA Implementation MethodologyIA Coordination Forum and Info Champion Network

Data Assets & Analytics:Technology StandardsTechnology Deployment and Services (Chevron Information Factory)

Holistic Execution Approach

© Chevron 2010 MIT Information Quality Industry Symposium • July 2010 10

Questions & Answers

[email protected]

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