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Carl Gerber, Director, Data Transformation Program, TIAA-CREF

cgerber@tiaa-cref.org

TIAA-CREF, Our Journey to

Enhanced Data Quality

Our Journey to Data Quality

● About TIAA-CREF

● Defining the Opportunity

● Data Transformation Program

● Data Governance Operating Model

● Data Steward Playbook

● Enterprise Data Services

● Business Outcomes

Disclosure

This material is for informational purposes only and should not be regarded as a recommendation or an offer to buy or

sell any product or service to which this information may relate. Certain products and services may not be available to all entities or persons. Past performance does not guarantee

future results. The views presented represent the views of the speaker and not necessarily the views of the organization.

TIAA-CREF Facts & Stats…

15,807 Institutions 3.9 Million Participants

8,287 Employees

NY, Charlotte, Denver

80+ Local Offices

AUM = $542 Billion (as of 6/30/13)

(as of 1/30/13)

Defining the Opportunity

● Formalize Data Governance

● Mature Data Management

Practice

● Enable Multiple Business

Initiatives

- Foundational Data Platforms

- Enterprise Data Capabilities

● Optimize the Data Landscape

- Data Integration Technologies

- Business Intelligence Tools

- Databases

Data Transformation Program Overview

Mission

Value Proposition

Business Value

Serve the customer efficiently and effectively

Enhance access to reliable, accurate and

easy-to-use data to support decision making

Enhance planning and analytical capabilities

Support & enable business strategy

Infrastructure & Operations Value

Decommission unnecessary databases &

applications

Consolidate infrastructure and systems

Refresh & modernize technology,

environments

Promote re-use to optimize run rate costs

Data Governance formalize Business Data Owners and

Business Data Steward roles, develop a playbook.

Measure & enhance Data Management maturity.

Enable Business Initiatives link Data Governance,

Stewardship to key programs. Leverage Data

Architecture & Enterprise Data Services on projects.

Build Enterprise “Big E” Data Platforms create horizontal

data platforms that enable multiple strategies &

business initiatives

Optimization of Data Infrastructure by

Consolidating/Retiring Databases, BI & Data

Integration tools. Modernize technology and

Automate Enterprise Data Platform administration

Transform Data Management Capabilities create

Enterprise Data Services for broad use: Data

Governance & Stewardship, Data Architecture,

Business Analytics, Data Quality, Data Integration

& Metadata

Data Governance Operating Model

Enterprise Data Governance

Enterprise Data Stewards

Chief Data Officer

Chief Architect

Business

Data

Owners

Lead

Data

Stewards

Chief Data Steward

Data Program Director

Retirement &

Individual

Asset

Management

Diversified

Financial Services

Corporate

Functions

Data

Governance

Data

Stewardship

Data

Governance

Data

Stewardship

Data

Governance

Data

Stewardship

Data

Governance

Data

Stewardship

Business Data Owner

Lead Data Steward

Business

Data Stewards

Improving Business Process Efficiency by Improving Data

Quality – We Have a Data Steward Playbook for that…

Improve

Leverage Govern

Monitor and expand the scope and scale of data Governance, Stewardship and Quality Management

Continuously prioritize and act upon enhancement opportunities from monitoring and expansion activities Identify, Define, Publish

& Share, and Control our Data

Identify & Catalog assets, map to owners, publish

Expand the scope or breadth of the program, the volume and efficiency, or scale of data it supports

Define authorities, Control changes

Monitor ongoing program operation and outcomes, new systems development & data use

Iteratively enhance data quality & performance, optimize shared services, provide incremental services and support for organizational units in the absence of program efforts

Define Control Monitor Expand Optimize

• CDEs

• Glossary

• Owners

• Stewards

• Data

Controls

• DQ

Dashboard

• Data

Sprints

• Data

Sprints

Enterprise Data Services Level 1 Service Level 2 Service

Metadata

Glossary & Terms

Data Lineage

Impact Analysis

Metadata Acquisition

Analytics

Big Data Analytics

Business Intelligence

Mobile Business

Intelligence

Real Time Decisions

Visualization

Data Architecture Data Architecture

Data Maps

Data Modeling

Data Governance

Data Program Governance

Data Stewardship

Data Sprints

Database Census

Data Integration

Data & Files Sourcing

Data Integration

Development

Data Integration Framework

Data Integration

Governance

Data Quality

Data Controls

Data Discovery

Data Profiling

Data Quality Dashboard

Metadata Flow

Business Outcomes

• Enhanced Client Experience

with a Faster Website due to

Data Architecture & fit for

purpose database

• Business Process Efficiencies

from addressing data quality

variation

• Business Analytics Forum of

analysts sharing best practices

• Simplification & Cost

Efficiencies by consolidating

data technologies & eliminating

redundant databases

TIAA-CREF, Our

Journey to

Enhanced Data

Quality

Thank you! Questions?

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