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Chief Data Officer Center of Excellence. Develop an Enterprise CoE to Drive Business Decision Making and Growth

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CJ Nakamura & Vikram Anand | Cerner Health Services

September, 2015

Chief Data Officer

Center of Excellence

Develop an Enterprise CoE to Drive

Business Decision Making and Growth

(2)

hello

who

why

what

how

q&a

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2

who | a word about us

CJ Nakamura

Vikram Anand

Cerner Corporation

Siemens Healthcare

Medikin Healthcare

Synestesi Tech

Spark Notes

CampusCareerCenter

Okcupid.com

Merrill Lynch

Societe Generale

Harvard NYU ESE

Multi-Lingual

Chess Champ

Father of Two

Penn State Advisor

Cerner Corporation

Siemens Healthcare

Siemens CAD

ITC InfoTech

Illinois Tech NIE

Athletics Champion

Soccer Buff

Data Science

Father of One

(4)

#1 Health IT Company on the Planet

18,000 healthcare facilities in 31 countries

FY14 $3.4B Revs with 22,000 associates

#34 Most Innovative Global Companies –Forbes

Top 100 IT Best Places to Work –Computerworld

HQ’s in Kansas City MO and Malvern PA

(5)

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4

Pag

e 4

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6

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8

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Data Optimize

Data Gov

True Analytics

Performance

Exec Support

Culture

Velocity

People

Data Monetize

Tools

(11)

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10

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This document contains Cerner confidential and/or proprietary information belonging to Cerner Corporation and/or its related affiliates which may not be reproduced or transmitted in any form or by any means without the express written consent of Cerner

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This document contains Cerner confidential and/or proprietary information belonging to Cerner Corporation and/or its related affiliates which may not be reproduced or transmitted in any form or by any means without the express written consent of Cerner

14

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day 1 | tactical  strategic

Drive increased efficiencies

Uncover new business opportunities

Attain corporate goals and vision

What is the impact to

decision making and

business outcomes with

poor quality and subjective

reports?

What is the risk of

continuously ignore ‘data’

without a clear vision,

strategy and leadership?

What are the costs to pull

large reports queries

requiring minutes vs.

seconds?

What are the risks

not to have an

enterprise data

governance in place?

(17)

1310231341_Standard - Cerner PPT template_v2.2 updated: 0115 © Cerner Corporation. All rights reserved.

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16

day 2 | value drivers

The level of maturity of adopting sophisticated business analytics and data science around data sets,

processes, policies and technologies varies greatly throughout companies. The business and

technology value drivers position corporations for enterprise CDO roll out models. Understanding

each LOB’s data management, quality, integrity and analytics maturity accelerates the CDO value prop.

 Gartner

 HIMSS Analytics

 IBM IBV

 Big 5 models

(18)

day 3 | business model

Today more than ever, organizations seek to establish an enterprise data vision, strategy and

leadership by appointing the emerging role of the Chief Data Officer (CDO). Wall Street expect

organizations to become data centric. Customers have no different expectations and attitudes towards

companies to build a data centric culture.

The

CDO

creates

and

coordinates enterprise data and

analytics strategies, roadmaps

and

governance

to

drive

maximum

business

value,

serving as the Data Quarterback

with a holistic data vision and

strategy leadership position for

the enterprise.

The CDO executes

“data into dollar” opportunities, optimize inefficient processes, and enrich data

with third party sources. Companies move from an era of reading hindsight data on what has

happened towards an era of Insight and Foresight to predicting, acting and preventing, creating a

Companies drive towards a

[real-time] evidence-based

and data-centric culture,

taking

on

cultural

transformational journey as

an

internal

Change

Management

initiative

transforming

associates

work flows, habits, beliefs,

and values. This mandate

continuously need support,

communication

and

direction

from

the

top

leadership.

(19)

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This document contains Cerner confidential and/or proprietary information belonging to Cerner Corporation and/or its related affiliates which may not be reproduced or transmitted in any form or by any means without the express written consent of Cerner

18

day 4 | implementation methodology

Project governance

Project charter

Project plan

Source systems

Hardware

Network

Data sources

Data content

Data formats

Data dictionary

Data standardization

Data capture

Extract, transform, and

load (ETL)

Data quality audit (DQA)

System testing

Performance testing

Go-live readiness

assessment

“Live in the Dark”

Validation of data

Go-live stabilization

System performance

Lessons learned

Transition to

production support

Expand data use

cases

Future state vision

Prioritized goals and

objectives

Business/use case

Business Analytics (BA)

organizational skills

Key Performance

Indicators (KPI)

Data profiling

Categorize data issues

DG roles and

responsibilities

Establish Chief Data

Office

Data access/security

Data stewardship

Data quality issues list

Data lineage / metadata

BI education and

certification

Manage data quality

issue list

CDO and Business

Analytics experience

deepen

Implement Data

Science model

Measure outcomes

Set priorities going

forward

CDO Business value

acceleration

Stakeholder analysis

Competing initiatives

Organizational impacts

Change resistance

assessment

Communication plan

Messaging

Project kick-off

Training plan

Policies and procedures

Communication

campaign

Adoption and

Enforcement metrics

Data stewardship

training

End user training

End user perceptions

Validation of adoption

and change

Engage Change issues

across LOB laggards

Enforce territorial

process owners

End user survey

Revise change

management plan

Leverage change

Celebrate project

deliverables and

milestones

Discover

Define

Develop

Adopt

Perform

EXECUTE

INTEGRATE

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day 5 | show me the money

The ROI, NPV and IRR analysis measure tangible and intangible outcomes with a measurement

methodology and technique that are aligned with the executive sponsors. The below valuation

framework have proved the costs and benefits in measuring the program success.

Increased Revenue

due to incremental

value (e.g. Data

Monetization)

Improved Net

Promoter Score

(e.g., clients,

associates and

partners)

Data Acquisition

Costs (e.g. ingesting

and transmitting data

from sources)

Reduced Costs and

cost avoidance (e.g.

Data Optimization

initiatives)

Data Service Costs

(e.g. costs of

analyzing, reporting

and preparing)

Data Transformation

and Management

Costs (e.g. costs of

managing,

integrating, cleaning,

standardizing)

Gartner has defined business value for BI,

Analytics and Performance initiatives citing an

improvement of 5-10% topline growth and 3-8%

reduction in operating costs compared to

industry peers.

The Economist interviewed 752 senior execs at large multinationals,

validating a "strong link between financial performance and effective

use of data. Many companies are aware of the power of data, but are

not yet fully exploiting the data they collect. The survey findings

McKinsey analysis of more than 250 engagements over five

years has revealed that companies that put data at the center

of the marketing and sales decisions improve their marketing

return on investment (ROI) by 15 – 20 percent.

Nucleus states of organizations continuing to

make investments in robust analytics ROI case

found the average returns have been

increasing, reaching $13.01 for every $1 spent

in 2014 from just $10.66 in 2011.

“The median ROI for the projects that incorporated

predictive technologies was 145%, compared with

a median ROI of 89% for those projects that did

not. Update: 2011 study showed ROI for

predictive analytics at 250% ”

(21)

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This document contains Cerner confidential and/or proprietary information belonging to Cerner Corporation and/or its related affiliates which may not be reproduced or transmitted in any form or by any means without the express written consent of Cerner

20

(22)

day 7 | the roadmap

The CDO office suggests a few unique action steps in the

first months of existence. Some of the steps can overlap

each other but the tactical alignment is meant to give the

reader an insight of the tactical road map.

1.

Organize the Chief Data Office

2.

Drive Business Data Ownership

3.

Establish DG, DQ, MDM, DI, DP, DV

4.

Engage Data Communities

5.

Monitor & Enforce Data Governance

6.

Leverage full CDO value model

Tactical Scope

Deliver Pilot Value

Business Plan

Expand the Game

Financial Plan 2.0

(23)

1310231341_Standard - Cerner PPT template_v2.2 updated: 0115 © Cerner Corporation. All rights reserved.

This document contains Cerner confidential and/or proprietary information belonging to Cerner Corporation and/or its related affiliates which may not be reproduced or transmitted in any form or by any means without the express written consent of Cerner

22

key | success factors

Executive alignment

and support

Business ownership

with IT support

Mission critical data

Communication and

Celebration strategy

Establish enterprise

Data Governance

Align on Policy

enforcement

(24)

Thank you

Carl-Johan.Nakamura@Cerner.com

Vikram.Anand@Cerner.com

Each day ‘data’ is left without a clear vision…

opportunities to boost client satisfaction, optimize

operations and create revenue growth are missed

out in the organization. - Anonymous

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