06 JosephSeila DataGovernanceatDevonEnergy CalgaryDMS 2013 - Copy

Data Governance Update

Nov, 2013

page 2www.devonenergy.comNYSE: DVN

Agenda

• Introduction

• About Devon

• OKC G&G Data Management Program

• Update– Business Rules

– Master Data Management

– Governance Program

– Standards

• Conclusion

NYSE: DVN www.devonenergy.com Slide 4

Devon Today

Proved reserves: 3.0 billion BOE

(42% liquids)

Q2 2012 production: 679 MBOED

Production mix: 22% oil

15% NGLs

63% natural gas

Significant midstream business

2012e operating profit: ≈$385 million

Enterprise value: $25 billion

Jackfish

Pike

Granite WashBarnett Shale

Permian Basin

Ferrier Corridor

Cana WoodfordMississippian

Tuscaloosa Shale

RockiesOil Utica Ohio

Michigan

Horn River

Deep Basin

Powder River

Washakie

Haynesville/Bossier

Carthage

Groesbeck

Oil

Liquids-Rich

Dry Gas


$0 $5 $10 $15 $20 $25 $30

CBS

General Motors

Allstate

Marriott

Best Buy

Southwest Airlines

Larger than you might think… Enterprise value

In billions of U.S. dollars

Source: Enterprise value as stated on Yahoo! Finance on Feb. 1, 2012.


New Building

• Started Construction

Oct 2009

• 50 Stories

• 850 feet high

• 1.8 million square ft


New Building – cont.


What is the OKC G&G Data

Management Program?

The OKC G&G Data Management Program (OKC DMP) was established to enable agile business

operations by treating data as a corporate asset and providing timely, qualified, integrated and

harvested data from the rig to the Geoscientist desktop. This Program, led by the Business, is a fully

funded multi-year initiative broken into three waves consisting of more than 40 roadmap

initiatives.

This program consists of three projects.

• Governance: Establish an organization that can provide policies and procedures to ensure

sustainable data management practices

• Master Data Management (MDM): Establish a solution to deliver trusted and reliable

information to core G&G business processes and applications

• Data Quality Management (DQM): Improve the management of data quality between business

applications to ensure that it is timely, consistent and accurate

As-Is State Why change is needed? To-Be/ Benefit

Data Quality Uncertainty

• Timeliness

• Accuracy

• Relevance

• Completeness

Lack of Data Quality / Order

• Lose Data / repurchase

• Can’t find data for look backs

• Decisions from questionable data

• Multiple iterations of validation, rework and review

• Can find and use critical data.

• Understand completeness of data

Difficult to transfer projects between asset

teams or divisions

• Flexibility in reassigning staff and/or assets

• Leverage resources/learnings across asset teams.

• Portability data across asset areas /teams.

• Common set of business processes

No single authoritative source for G&G data.

(e.g. Studies Database/ Barney)

No cohesive Data Management capability

• Current tools do not support data management.

• Too much time spent searching for quality data

• Data is stored in unmanaged repositories

• Excel / access

• E-mail

• Often easier to repurchase rather than to find it

• Simplify integration across applications

• Reduce G&G data redundancy

• Improved data sharing automation

• Ease to gather data for analysis / lookbacks

• Gold standard sets of data

Non-standard reference data

Inconsistent naming standards

• Inability to share data across G&G applications.

• Duplicated information stored across applications.

• Reduce the redundancy of G&G data

• Simplify integration across applications

Why are We Doing This?

Business

Rules

Governance

Governance

Governance

Benefits

• Quality: Improve the trust, consistency, relevance, and timeliness of data that is used on a daily basis to support business decisions

• Process: Establish business rules and standards to improve data flow and manage the data lifecycle

• Standards: Improve data consistency and sharing across applications and data stores

• Availability: Establish an integrated system that delivers reliable information and single source of truth to support master data management

• Governance: Institute better overall data management process, procedures, and policies to adhere to business and data quality rules

www.devonenergy.com page 10

Overall make it easier for the business to manage data on their own

The Vision

Enabling agile business operations by treating data as a

corporate asset and providing timely, qualified, integrated and

harvested data from the rig to the Geoscientist desktop

Daily Rig Data Process

Gold Record Process

External Well &

Rig Data

Well & File MasterWell & File MasterPromote Best Attributes Interpretation

InterpretationExternal Well &

Rig Data

Pro

file

Sta

nd

ard

ize

Co

nfo

rm

Co

rrec

t

En

rich

Governance

Project Management

Data Cleanse & Load

Data Cleanse & Load

Interpretation

Gold Record Process

Well & File MasterWell & File MasterPromote Best Attributes Interpretation

Pro

file

Sta

nd

ard

ize

Co

nfo

rm

Co

rrec

t

En

rich

Governance


Roadmap

2011 2012 2013+ong Term

Str

uctu

red D

ata

Well Master

Interpretation PM

Data Quality

Management

Standards

Application

Development

Work Flow

Business Rules

Unst

ructu

red D

ata

Naming Conventions

File Automation

Work Flow

Taxonomy

Cro

ssFuncti

onal

Business Process

Governance

Application Transition

Daily Rig Data

G&G BIDW

= Wave 1

= Enterprise Initiatives

= Wave 2

= Wave 3

Waves


• Where are we going? What do we need to accomplish? Future

• How do we build a foundation that we can grow on over the next 3+ years?Foundation

• What does the end state look like? Focus

Wave 1

Wave 2

Wave 3

• Correcting anything from Wave 1 or 2 that wasn’t implemented as well as it should’ve been.

Fixing

• Completing the roadmapFinishing Well

• New Ideas, New Technology, New ProcessInnovation

• Implement designs from Wave 1, new technology & processes.Implementation

• New Data Types, Better Data Quality Management & Reporting, Better Tools with more capability

Increased Functionality

Business Rules

• Over 150 running business rules

– Results in a Data Quality Mart

• Created a SpotFire Dashboard

– Reporting

– Drilling down to most important issues

• Engineering Data Management group has started making and using business rules to clean up data

• Using generic business rule applications and moving away from industry specific data quality applications

• Sending monitoring emails for minimum required content in our Geoscience Database to Geotechs

– Monitors content according to the well lifecycle


Master Data Management


Master Data Management

• It’s possible to setup an Enterprise MDM system that compliments the other domain data management systems within your organization. Including other MDM systems.


Enterprise MDM Geoscience MDM

Primary purpose is to manage well

identity across internal databases

Primary purpose is to be the authoritative

well repository for G&G

Only contains wells that are shared across

Devon systems

Contains all wells needed for exploration

Does not import 3rd party information Imports 3rd party information

Does not have CRS capability Has CRS capability

Carries only well header attributes that

are shared across internal systems

Carries all well attributes

Secondary System of Record. No authoring

allowed.

Geoscience System of Record. Authoring

required.

Governance

• Since establishing a Governance Program for Geosciences

– Engineering created a Governance Council (B.U.D.S.)

– A Data Domain Council was created to govern data across all disciplines

• Business and IT are working together better than they have in the past 7 years.

– Well defined roles & responsibilities

– Trusted environment

• Good processes and procedures in place to establish standards

• Management recognition of the importance of Data Management

• Creating a Data Specialist role & professional career path


Standards

• Successfully implemented What is a Well in our Enterprise MDM.

– Assign a Devon Unique Well Identifier (DUWI) at all 3 levels

• Standardized on PPDM 3.8

– Geoscience Database

– Enterprise MDM

– Business Intelligence Data Warehouse

• Used PPDM Well Status & Classifications

• Standardizing Well Header attributes across key Devon Systems


End

Questions?

NYSE: DVN www.devonenergy.com page 19

Documents

06 JosephSeila DataGovernanceatDevonEnergy CalgaryDMS 2013 - Copy