AmFam Presentation at the Chief Data Officer Forum - Examining the role of the Chief Data Officer

Enterprise Data Management & Governance

2

August 2012

Definitions

Strategy

Strategy

BA/ETL

BA/ETL

BA/ETL

BA/ETL

DataDictionary

DataDictionary

DataDictionary

MDMBA/ETL

Critical Needs:

1. Improve analytic capabilities withinthe business to drive information innovation

2. Develop standards for managing data throughout its lifecycle

3. Drive technology investments to efficiently manage data and monitor its quality

4. Invest in dedicated resources to effectively manage data

3

August 2013

BIG BANG

Based on DAMA-DMBOK Framework, © 2008 DAMA International

4

Organizational Change

1. New Group: Enterprise Data Management

2. Situated in the Business rather than I/S structure to build business focus

3. Focused on management of data as a corporate asset/risk

5

EDM Structure

August 2013

Experienced professional hired to centralize data management practices

Data Governance & Quality Manager

Data Program Manager

Enterprise Data Strategy Manager

Based on DAMA-DMBOK Framework, © 2008 DAMA International

Business Data Analysis Metadata & Reference Data

Data PMOData Strategy Reporting & AnalyticsCOE

Data GovernanceData Quality

EDM Goals• Focus on disciplines requiring strong business influence and oversight

• Build out the capabilities that had the greatest impact on the Data Assets program

• Focus on disciplines that deliver best value to business and IS partners

6

Data Governance and Data Quality

2014 Accomplishments

Data Governance

• Policies - Ownership & Roles, Data Quality, Security, Information Lifecycle Management

• Data Domain & Sub Domain structure created

• Regular meetings - Data Stewards, Managing Data Stewards, Executive Data Council

Data Quality

• Data Quality Tool and Framework

• Tool process and standards

• Data Quality scorecards

• Critical Data Element (CDE) standards/guidelines

Project Support

Enterprise Data Management

Metadata & Reference Data

Business Data Analysis

Data Analytics & Reporting COE

Data Governance & Quality

Data Program Management

Enterprise Data Strategy

• Established DG/DQ policies and reporting metrics for the quarterly dashboard.

• Implemented Data Quality tools and processes to establish comprehensive data quality assessment and correction on an ongoing basis.

• Reduced program risk through increased business data ownership and engagement in support of data initiatives

• Increased business confidence in the veracity and reliability of critical data elements (CDEs)

Benefits 2014 Highlights

Data Governance - Establish a framework of policies, standards, processes and compliance monitoring to ensure high quality, available data.

Data Quality - Ensure the suitability of data for its intended business use and reduce data remediation costs by identifying data quality issues.

7

Metadata & Reference Data

2014 Accomplishments

MetaCenter Implementation

Common Business Vocabulary

Reference Data Management Strategy

Sensitive Data Inventory

Other:

• Project Support

• Business Data Model

Enterprise Data Management

Metadata & Reference Data

Business Data Analysis

Data Analytics & Reporting COE

Data Governance & Quality

Data Program Management

Enterprise Data Strategy

• Implemented metadata repository and supporting processes required to capture relevant business and technical metadata.

• Provided business access to critical metadata such as data models, data definitions, data flows, data quality profiling results

• Transparency and access to critical data requirements and content to enhance business trust through understandable, auditable, and traceable content.

• Standardized business definitions adopted for critical data elements

• Greater collaboration and shared understanding of business term definitions across AmFam

• Savings in development estimates.

Benefits 2014 Summary

Metadata - Capture and manage business and technical metadata across data sources to enhance business trust in data.Reference Data - Enable consistent usage/application of reference data to support data quality.

8

User count Training & EducationTraining Labs: 10User Trained: 115Demos: 71Demos Participants: 327 +

Metadata Sources coming soon:• BI Tool• Financial BI Tool• Additional RDBMs connector

ETL Mappings

15,632

Common Business VocabularyDG Approved: 781Ongoing Review: 1046

Cataloged Enterprise Reports 47

Total # of Bi-Weekly logins

Cataloged External Glossaries

Sixty Five

No. of Schemas Data Models:

508

09/15 - 09/28

09/29 - 10/12

10/13 - 10/26

10/27 - 11/09

11/10 - 11/23

11/24 - 12/7

12/8 - 12/21

12/22 - 01/04

01/05 - 01/18

01/19 - 02/01

02/02 - 02/15

02/16 - 03/01

03/02 - 03/15

03/16 - 03/29

0

500

1000

1500

Enterprise Data Management

Metadata & Reference Data

Business Data Analysis

Data Analytics & Reporting COE

Data Governance & Quality

Data Program Management

Enterprise Data Strategy

Metadata Metrics as of 3/29/15