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Data Governance in Action: A Day in the Life of Master Data Stewards

Sachin Choudhary

Sr. MDM Specialist

St. Jude Medical, Inc.

Mike Striefel

Director, Enterprise Development & Technology Services

St. Jude Medical, Inc.

Clarke Patterson

Sr. Director, Data Quality Product Marketing

Informatica

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St. Jude Medical

Founded: 1976

Location: St. Paul, Minnesota

First Product: Mechanical Heart Valve

Worldwide Employees: 16,000 +

Countries: 100 +

2011 Net Sales: $5.612 Billion USD

An Ongoing Tradition of Innovation

It is our mission to develop medical technology and services that put

more control into the hands of those who treat cardiac, neurological and

chronic pain patients, worldwide.

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St. Jude Medical

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Awards and Recognition

Named one of Fortune Magazine’s

“World’s Most Admired Companies”

Eight consecutive years

Ranked number one within our

industry on Fortune Magazine’s

2012 list of “World’s Most

Admired Companies”

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Agenda

• The Journey

• Why Data Governance?

• Methodology

• Product Master

• Data Governance Approach

• Content Hub

• Product Catalog

• eIFU

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Aggregate

Spend

Product

Hierarchies

Product

Catalog

Customer

View

Golden Record for

Physicians

Met legal requirements

- Tracking

- Reporting

Software

Infrastructure

Implementation

Siperian XU2

Using BDD

Enhanced Sales Analytics

- Hierarchies

- Product Attributes

- Time Affectivity

Self Service hierarchy

management

Architecture/Model

- Architectural Framework

- Start with Consolidated

- Transition to Centralized

Deployment

- Framework

- Methodology

Added Architecture role

Enterprise repository for

product information

- Structured

- Semi-Structured

Self Service application for

Marketing to maintain

Single version of truth

Application

- Informatica 9.1

- Using IDD and IDC

- Highly Available

Deployment

- Time boxed iterative

- Proven processes

Added BA role

Business Value

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What is Data Governance?

• Executive Management: Increased revenue, reduced cost and sustainable growth

• Senior Sales Executive: Magic bullet that produces the information I need to close

and process my deals

• Customer Master Data Steward: Process and technology that makes it easier for me

to manager customer master data

• IT Project Manager: Logical structure for classifying, organizing, and communicating

complex activities involved in making decisions about and taking action on enterprise

data

• Data Architect: Discipline that embodies a convergence of data quality, data

management, data policies, business process management, and risk management

surrounding the handling of data

• St Jude Information Management: Discipline to establish sustainable management

of data lifecycle, quality and protection & compliance across the enterprise

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• Track and report on the dissemination of

sensitive data

• Reduce dependency on data owners

• Ensure the accuracy of sensitive data

• Create effective data monitoring

• Efficient and effective customer service

• No shipping waste

• Cross sell and up sell target identification

• Better integration

• Reduced risk

• Sustainable asset protection

• Centralization of key terms and concepts

• Consistent or connected use of business

terms

• Lowered cost of data management and

data integration

• Efficient alignment of sales force with

customer(s)

• Account Profiling for effective marketing

campaigns

• Measure and monitor data quality

• Quicker and better understanding of

existing data sources

• Manage metadata with speed and agility

• Foundation to manage information –

create, publish, report and analyze

Compliance IM

Sales & Marketing Customer Service

Efficiency Value

Functional

Corporate

Sustainable

Quality

Protection &

Compliance

Alignment &

Mapping

Discovery &

Classification

Why is Data Governance Necessary?

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Produce

Content

Database Infrastructure

System of Record

Operate

Master Data

Consume

Reports

Applications

Customers

Archives

Data Destruction

Disposition

&

Retire

Sustainable

Quality

Protection &

Compliance

Alignment &

Mapping

Discovery &

Classification

Data Governance

External

Master Data Lifecycle

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Governance

People & Stakeholders

Supporting Technologies

Process

Business Value

Executive-Level

Data Governance

Bodies

Line of Business

Stewardship Community

Data Quality

Reporting Team

Project Teams

Virtual Teams

Executive

Sponsorship

Risk Data Council

Data

Governance

Program

Manager

Technical

Liaisons

(4)

Business

Liaisons

(4)

Metadata

Liaison

(1)

Data Governance PMA

Risk Data Governance

Office (DGO)

Data Quality

Reporting

Liaison (1)

Data

Definition

Stewardship

Function

Data

Production

Stewardship

Function

Data

Usage

Stewardship

Function

Quality

Measurement

Stewardship

Function

Lead Steward

Executive-Level

Data Governance

Bodies

Line of Business

Stewardship Community

Data Quality

Reporting Team

Project Teams

Virtual Teams

Executive

Sponsorship

Risk Data Council

Data

Governance

Program

Manager

Technical

Liaisons

(4)

Business

Liaisons

(4)

Metadata

Liaison

(1)

Data Governance PMA

Risk Data Governance

Office (DGO)

Data Quality

Reporting

Liaison (1)

Data

Definition

Stewardship

Function

Data

Production

Stewardship

Function

Data

Usage

Stewardship

Function

Quality

Measurement

Stewardship

Function

Lead Steward

Extract

Extract

Extract

Extract

Extract

Extract

Payback: …Months

NPV: …Mil

ROI: …%

5-Year Inv: $... Mil

Executing Data Governance – Strategy

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• Members of XYZ’s Data Management team that:

• Serve as the primary owners of the Master Data

• Define and manage processes used to create, update and utilize Master data

• Assess the impact of XYZ’s business needs on Master Data

People

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• Processes that:

• Resolve the conflict(s) between existing business processes and data structure(s)

• Establish a common business definition for Master Data

• Govern rules to create, access and distribute Master Data

• Instill organization wide culture that recognizes the nature and purpose of Master Data

• Techniques to collect, route and update Master Data

according to the business needs

Process

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• Application Framework that manages:

• The process of data collection, analysis and update according to the business rules

• Data access designed to meet business objectives in a secure way

• Distribution of data through multiple channels

• Hardware that provides reliability and performance

required to serve enterprise needs

Technology

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• Operational cost saving measured in terms of:

• Man hours saved on data maintenance and reconciliation

• Elimination of loss e.g. lost shipping, incorrect invoicing etc.

• Consolidated infrastructure – Software & Hardware

• Reduced enhancement cost

• Strategic imperatives that will drive revenue increase

over longer duration

Business Value

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Strategy Business Case

& ROI Use Case

Enablement Maintenance &

Operate Master

Process

IT

Manager &

Staff

IT

Execs

Business

Manager &

Staff

Business

Leadership

Future Vision

Roadmap

Architecture Alignment

Cross Vertical

Alignment

Pilot funding

Opportunity absorption

Case Development

Socialization

Executive Support

Foundational Funding

Bridge Funding

Opportunity

Identification

Case Support

Vendor Selection

Development

Project Management

Participate

Business Relationship

Crisis Management

Executive Support

Use Case Funding

Platform Maintenance

Make Enhancements

Provide Support

Identify enhancements

Manage Data

Data Governance – Background

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Exec Sponsor

MDM COE Owner Business

Process Owner

Lead

Data Steward

Business Unit

Process Manager

Info Steward Local Info Steward

Business Process Owner

• Engage partners to finalize requirements

• Organized by subject area (HCP, Product,

Product Page)

• Governs Master Data Hub only

Lead Data Steward

• Manages meta data e.g. hierarchy

structures, LOVs

• Performs conflict management

• Wields the overriding authority over Info

Stewards

Info Stewards

• Manages Master Data by subject area

• Belongs to the functional area/Business Unit

Data Governance – Organization

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A co-existence model that pulls data from point of entry systems and allows

enrichment in the Master data Hub

Data Governance – Technology

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Governance & Data Director

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Questions

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Thank You