Award Winning Data Governance 2012

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Copyright © 2012 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com

Sponsored by:

2012 Data Governance Best Practice Award

Award Winning Data Governance

Dataversity Webinar

October 02, 2012 – 2pm EST

http://www.debtechint.com/

http://www.debtechint.com/dg2010/BestPracticeAward.html

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Sponsored by:

Highlights of the Award

Third Annual Award

Call for Submissions 4Q2011

Distinguished Panel of Specialists & Practitioners

10 Submissions!

Criteria & Evaluation

Winner Announced in May of 2012



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Sponsored by:

Criteria & Evaluation

Sponsorship, Planning & Framework

Business Requirements & Business Participation

Data Governance Program Structure

People, Program Team & Data Governance Roles

Measurements Program & Success Stories



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Sponsored by:

Requirement Weight

Describe the business requirements for Data Governance at your organization.

Describe the approach used to define, develop and deliver your Data Governance Program.

Describe the length of time the solution has been in place and the incremental steps taken.

Describe the scale of the solution (i.e. enterprise, business unit) and whether this will change.

Describe the overall business impact/benefits from Data Governance and return on objective.

Describe the measurable return on investment for your Program and how the measures are used.

Describe the population and breadth of business and technical community being served by the Program.

Describe the innovative uses of the Data Governance Program and the problems that have been solved.



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Sponsored by:

Judging Panel

Robert S. Seiner – KIK Consulting & TDAN.com

Martha Dember – EMC Corporation

Elizabeth Davis – International Finance Corp

Michelle Koch – Sallie Mae (past winner)

David Plotkin – Independent

Anne Marie Smith, Ph.D – Yankee Consulting

Gwen Thomas – Data Governance Institute



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Sponsored by:

Submissions

Data BC

NCCI

SEI

Shell

Walgreen

Maybank

Finalists

LDS Church

Express Scripts

Conagra

Lexmark



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Sponsored by:

Winner

Express Scripts

Pat Branum, Eileen Koski

Presentation – Wednesday, December 5 at 1:15pm

Are You Certifiable?

Developing a Data Steward Certification Program



Confidential and Proprietary Information © 2012 Express Scripts Holding Company. All Rights Reserved. 8

Award Winning Data Governance

Data Governance Professional Organization Webinar

October 2, 2012

Pat Branum, Eileen Koski


Express Scripts Overview

Pharmacy benefit manager covering

approximately 100 million members

Helping patients make better

decisions for healthier outcomes

We apply behavioral science to clinical

research to drive down costs, eliminate

pharmacy-related waste and improve

health outcomes

Key figures

More than 30,000 employees

About 100 million members

More than 3,000 clients

1.4 billion adjusted Rx in 2012

At Express Scripts, we work

to make the use of prescription

drugs safer and more affordable

Express Scripts Technology & Innovation Center


The Express Way

Who we are

Act with integrity

Demonstrate

mutual respect

Work with passion

How we work

Drive alignment

Pursue collaboration

Champion the

commitment to service


Why Does Data Matter?

“Data is the new oil.” Ann Winblad, investor and senior partner

at Hummer-Winblad

Response to host Joe Kernan’s question, “What is the

next really big thing?” on CNBC Squawk Box segment,

“The Pulse of Silicon Valley,” 2/22/12

http://video.cnbc.com/gallery/?video=3000074076


Why Does Data Matter to Us?

Data surrounds us

It comes from many sources

It is used to drive our business


Why Do We Need Data Governance?

General

Data is a key corporate asset

Complex organizations have operational overlap and data-related

heterogeneity and incompatibilities

ESI-Specific

Patients, providers and clients depend on our operational excellence

Operations, products and services are data-driven and data-dependent

PBMs are highly regulated, with compliance requirements, such as HIPAA

Need to coordinate data across systems and subsidiaries


Value Proposition for Data Governance

Predicted Benefits

Risk reduction

Greater trust in data quality for use in decision making

Cost reduction via improved efficiency

Higher actual return on technology investments

Increased value and utility of data assets


Return on Investment for Data Governance

Observed Benefits

In 2011, total cost

avoidance attributable to

improved data quality and

data governance

exceeded:

$20 million


From Foundation To Present

Our Data Governance journey began over 10 years ago with the

implementation of a Data Quality Program

Recognized opportunities to improve data related processes

Launched MDM and Enterprise Data Governance

Core team established Charter, Mission, Vision, Goals & Scope

Built & implemented iteratively

Functioning Program

Recognize the Importance of Data Quality

Data Quality Program Created

Data Stewardship

Core Team Established

Launch MDM & Data

Governance

Functioning Program


Program Timeline Overview

Data Quality Program

Importance of Data

Data Stewardship

Launch MDM

Business Data Model & User Stories

Launch Data Governance

Scope, Charter, Mission,

Vision, Goals

Expand DS Roster & Responsibilities

Refine Organization

& Roles

Build out Membership

& Services

Intranet Site,

Metrics

Communications Strategy

Sponsors , Partners &

Stakeholders

Organization, Roles &

Responsibilities

Certification

Data Governance Program

Build out MDM



Data

Governance

Scope – Data

Quality and

Beyond

Data Access & Use

Data Quality

MDM, Data

Standards, Meta Data

Data Governance


Mission & Vision

Enterprise Data Governance Mission:

To protect and improve our data assets

Enterprise Data Governance Vision:

A culture that values data enterprise wide and therefore ensures

the security and integrity of all data assets, data uses and data

related processes while maximizing the value and utility of our

data to support information driven innovation and services


Goals

Overall Goal:

Changes in behaviors and beliefs so sound

data practices become integral to our culture,

communications and operations

Specific Goals:

Accountability and responsibility for data

Protection against misuse / inappropriate use of data

Increasing the value of data assets

Monitor data and related processes

Enable consistent, enterprise wide definition and management of data

Provide ready access to information about the Program


The Three Pillars of Our Program

Data Quality

Data Governance

Data Stewardship



Monitor ongoing quality of data brought under Data Governance

Processes and policies

Promote best practices

Monitor and escalate data quality issues

Monitor certification of and by Data Stewards

Foster strong relationships with the business and IT


Data Governance Program

Program framework - methodology, reporting, communications

Roles and responsibilities

Communications

Planning and administration of overall program

Track and report progress, and metrics


Data Stewardship

Operational component of data governance

Key members of the data governance team who actively apply the

principles and policies of data governance to the maintenance and use of

data throughout the enterprise

Four primary responsibilities:

Data definitions, meta-data, data quality standards

Monitoring ongoing data quality

Review processes that create data, root cause analysis, improvements

Identify and promote best practices


Organizational Model


Organizational Highlights

Business Ownership

Assures solid business focus and business commitment

Chief Data Officer

Not yet a common role - speaks to organization’ strong commitment to

data quality & integrity

Data Governance & Data Stewardship Community

Basis for collaboration, support and communication


Program Highlights

Core program informed by:

Industry best practices

Expert consulting support – UDM, EMC2, IBM

Highlights

Relationships

Data Stewardship

Customization for our environment


Relationships


Obtaining & Retaining Sponsorship


Data Stewardship - Certification

Formal program to assure:

Data Stewards armed with the training they need

Internal customers recognize Data Stewards’ qualifications

Data Stewards share a common vocabulary and understanding of basic concepts

Courses required, recommended or optional

In person training to foster creation of a Data Stewardship Community

Certified 25 Data Stewards


Data Stewards Certification Program

* All required and highlighted courses delivered to current Enterprise Data Stewards

Required Training * Recommended Training

Optional Training

1. Introduction to Data

Stewardship

2. Developing win-win

relationships

3. Writing data definitions

4. Data profiling

5. Metrics and measures

definitions and reporting

6. Issue analysis and

resolution including root

cause analysis, process

improvement (partial

offsite)

1. Business Rules

documentation

2. Project data

governance

certification

3. Process Modeling

101

1. Developing SOPs and

Policies

2. Master Data

Management 101

3. Six Sigma (White

Belt)

4. Project management

5. Advanced leadership

training

6. Six Sigma (Green Belt)

7. Data Modeling 101

8. Six Sigma (Black Belt)


Our team on graduation day!


Customization for our Environment

Study industry best practices

Adopt and adapt!

Not “One Size Fits All”

Learn from what worked for others, but don’t be afraid to customize

Examples from our experience

“90-Day Sprints”

Data use & Limitations policies and SOPs

Custom data definitions guidelines


The Fruits of our Labor

Benefits & ROI


Program Benefits

Risk Reduction

•HIPPA compliance, licensure validation, avoid inappropriate data use

Cost avoidance/reduction

Improved patient safety & reduced patient costs

Example - Assignment to TRCs & Gaps in Care closure

“Trifecta” - Benefits to client, company and patient


TRC Assignment & Gaps in Care Closure

Therapeutic Resource Centers (TRCs) provide specialized pharmacists to support

patients with complicated conditions

TRCs strive to increase adherence and close “Gaps in Care” – patients not receiving

optimal treatment for their condition

Example:

• Prescription correct for diagnosis, but based on missing refills, patient may not be compliant

Gaps associated with increased risk of disease progression and

complications

TRCs help close gaps by working with patients and physicians to

understand and address issues leading to non-compliance


TRC Assignment & Gaps in Care Closure

TRC assignment based on pharmaceutical claims records and proprietary

algorithms

Relies on patient matching to combine all relevant information

Improvements from Data Governance and MDM help assign more

patients to TRCs

One year estimate - cost of Gaps in Care:

$20 million to $110 million in estimated avoided total healthcare costs

Patients: disease progression, complications, financial liabilities/cost share


ROI – The “Trifecta” • Better adherence = fewer gaps in care =

reduced hospitalizations and disease

progression

• TRCs can improve adherence if they can

match patients data

• MDM and Data Governance help assign

more patients to a TRC

• Result = Benefit “Trifecta”:

• Patient - Clinical improvements

• Client - Cost avoidance

• ESI - Prescription revenues


Critical Keys to Success

Obtaining and retaining sponsorship

Identifying best practices and learning from experts

Business orientation – focusing on tangible business needs

Inclusion & Collaboration – involving all key stakeholders

Motivating, equipping and supporting the team

Demonstrating & sharing successes

Communications, communications,

communications!


The Path Forward

Supporting the challenge of

our new company

Combining our strengths

Forging our path together for the

future


Acknowledgements: EMC2

Martha Dember

April Reeve

Glenn Thomas

Universal Data Models

Len Silverston

Paul Agnew

Sunil Soares, IBM

Zahid Naeem, InfoTrellis

Additional Friends and Helpers:

Michel Koch, Sallie Mae

Pablo Riboldi, LDS


Questions?


For further information please contact: Inderpal Bhandari, Chief Data Officer and Vice-President Healthcare Data and Analytics

201-269-6643

[email protected]

Patricia Branum, Vice-President Data Quality, Chief Data Steward

215-283-5133

[email protected]

Eileen Koski, Director of Data Governance & Data Stewardship

201-269-4069

[email protected]

Elisa Pirylis, Sr. Project Manager, Healthcare Data and Analytics

201-269-4655

[email protected]

Joe Federer, Senior Director, PharmacoAnalytics

314-872-0487

[email protected]

mailto:[email protected]
















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