Business Analysis Professional Development Day – Sep 2015

Data Governance and Cross-Functional Needs

Neelam Mohanty

Agenda

2

Agenda What is Data Governance

Goals of Data Governance

- Eliciting definitions from a cross-functional group of stakeholders- Non-invasive data governance- Building a change coalition of data stewards

Impact on Data Quality

3

Examples of data governance

Single Version of the Truth600 individuals whose only role is Faculty300 individuals whose only role is Staff25 individuals are Staff but also are adjunct Faculty75 individuals are faculty but also have a Staff role

Total Faculty & Staff : 1000675 counted as Faculty325 counted as Staff

1,000 <> 1,100

Total Faculty 1,000

Total Staff400

Source: University of Notre Dame Presentation HEDW 2013

How You Ask is as Important as What You Ask

4

Context Matters

Clarity Matters

The question matters

Governance is as much about how you use the terms as it is about the terms themselves

Counting Problem

5

6

Active Student

Definition

An individual who has been confirmed by an admitting office ( or other admitting authority), as recorded by the University Registrar, is considered an active student until he or she:

Graduates ( if degree-seeking)

Completes the academic term ( If non-degree seeking) Withdraws or is dismissed by the University

Fails to enroll for a spring or fall academic term ( unless granted a leave of absence by a Dean)

Counting Problem

7

8

Business Impact of Low Data Governance

Distrust of data coming from BI/DW system

No on-going responsibility for quality of a project after go-live

Continuous cleaning of data without putting in place preventive measures

Why does this challenge occur ?

9

Data is a “lateral” asset spanning multiple functional areas

• Each household brings their own ways of living, preferences, attitudes. A different level of cooperation and coordination is required to live together ( productively/peacefully) in the same house

• The problem is that our applications and business needs for information are integrated, but our behavior has not changed to work effectively in this world

Source: SF DAMA Day 2006

Definition of data governance

10

Data governance (DG) refers to the overall management of the availability, usability, integrity, and

security of the data employed in an enterprise.

Source: searchdatamanagement.techtarget.com/Definition/0…

Data governance is the practice of organizing and implementing policies, procedures and standards

for the effective use of an organization’s structured/unstructured information assets.

Source: www.sdn.sap.com…

Data Governance: The execution and enforcement of authority over the management of data assets

and the performance of data functions.

Source: www.tdan.com/view-articles/5037

Data governance is the decision-making process that prioritizes investments, allocates resources,

and measures results to ensure that data is managed and deployed to support business needs.

Source: www.b-eye-network.com/view/8393

Multiple Definitions: pick the one that you like

Definition of data governance

11

Data governance recognizes that data is an important enterprise data asset and applies the same

rigor to managing this asset as it does for any other asset

Source: Jonathan Geiger

A program for defining information policies that relate to the constraints of the business

Source: David Loushin

Execution and enforcement of authority over the management of data and data-related processes

Source: Gwen Thomas

A process focused on managing the quality, consistency, usability, security, and availability of

information

Source: Alex Berson and Larry Dubov

Definition of data governance

12

Data Governance ensures that accurate information gets to the

right person , for the

right reason, at the

right time to make the

right decisions

Here’s the one that I like : The 4 “R”s

13

How do you justify a data governance program?

Make your business caseIs it compliance related?

Health Care - HIPAA (Health Information portability and accountability act)

Financial Reporting - SOX(Sarbanes Oxley Act of 2002)

Federal Information - FISMA (Federal Information Security Management Act of 2002)

Financial Institutions - GLBA (Gramm-Leach-Bliley Act)

Payment Card Processing - PCI DSS (Payment Card Industry Data Security Standard)

Higher Education - FERPA (Family Educational Rights and Privacy Act)

National Data Privacy Law

Data Quality Act

Patriot Act

Corporate Information Security Accountability Act of 2003

14

How do you justify a data governance program?

Make your business case

Reliable management reporting

Optimized business processes

Timely mergers and acquisitions

Reduced risk in customer and business data retention when stored per a defined data lifecycle

Master Data Management – Providing the golden record for customers, employees, products, members, providers etc. allowing for better customer service, ability to cross sell and upsell , visibility across multiple domains ( E.g. providers who are also members), correct addresses to mail campaigns, discount on CASS certified postal mail etc.

Process of data governance

15

Scope

Who has input

Who makes the decisions

Enforcement

Five dimensions to scope

16

Data

System

Business Process

Organization

Policy Type

Governance Model

17

Data DefinersData UsersData Producers

Tactical Data Stewards(Cross Department/Business-Unit)

Data Steward Coordinators

Information Governance Council(Enterprise)

ExecutivesSenior Managers

Data Stewards/Trustees/Custodians/Guardians(Department or Business Unit Specific)

ExecutiveSponsor(s)

Strategic

Tactical

Operational

EIM Council

Business Unit

Enterprise

18

Executive Leadership

Governance Managers /Process Owners

Stewardship / Quality Management & Data Architecture

Data Users

Executive Sponsor & Strategic Level– Sponsors the Governance program– Provides support leadership and funds– Provides guidance and sets direction

Program Level– Leads the governance program at a tactical level – Responsible for ensuring data governance process compliance at

business entity level

Execution Level – Does the actual Data governance activities– Works with the data owners and users to ensure data standards and

quality– Works with Data architecture manager, data architects and data

analysts for preparation of artifacts for governance

Exec

ution

Pla

n

Com

mun

icati

on P

ath

& V

enue

s fo

r Int

erac

tions

Feedback Loop &Issue Resolution

Enterprise Data Management – Data Governance Components

Example RACI MATRIX

19

20

Questions?

Contact me at neelam.mohanty@caresource.com