the secret of effective data stewardship

8/14/2019 The Secret of Effective Data Stewardship

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The Secret to

Effective Data StewardshipTreating marketing data as a key corporate asset

Custom Presentation | October 2002


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The Impact of Information


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The Information Age?

! We have an abundance of data, but:

How much of our data builds information value?How do we use this information for Knowledge

Creation?

! Often were unable to turn data to information

to knowledge due to the lack of data quality

within our organization


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Impact of quality data

! Provides maximum functionality to the system

! Breeds sound decision-making! Achieved through detailed attention to:

IntegrityAccuracy

Currency

InterpretabilityOverall value to the organization


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A Successful

Data Management StrategyTurning data into actionable information


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Responsibility of data quality

! Business Areas Primary

! IT/IS/IM Secondary! Enterprise Tertiary

Data quality is created by putting sound

business data management practices in place:A Data Stewardship Program helps data

become a key corporate asset.


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Concept of Data Stewardship

! Accountable and committed to the well-being

of the corporation by operating in service tothe total corporation

! Function, not a job title

Types of Data Stewards

Data Steward (from IT or IS)

Business Data Steward (from the defined businessarea)


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Data Steward Responsibilities

! Oversees the capture, entry, processing,

summarization, distribution, and usage of dataor information, application, or databasedevelopment and their management

Data Quality (conformance to standards andspecifications)

Monitor Data Quality (based on business rules)

Provide Quality control and auditingCoordinate Data recovery (disaster recovery)

Work with business areas in support of databasedevelopment and information acquisition andmaintenance


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Business Data Steward Responsibilities

! Oversees the definition and coordination of

the data resources in their subject ofexpertise, for others within the enterpriseData Definitions

Data Quality Standards (Accuracy,Completeness, Consistency, Timeliness)

Prioritize data issues for the business

Support understanding of data/information userelated to subject area

Regulatory and Legal Restrictions regarding use


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Business Data Steward Responsibilities

Resolve/Facilitate horizontal data integration

issues across subject areas

Control access to business data and information


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Data Stewardship Key Issues

! Security

! Quality! Sharing (external)


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Data Security

! Providing or terminating access to specific data

Internal requests to accessNew employees, transfers or terminations

External requests for access

Monitoring data access


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Data Quality

! Planning

Develop clear, concise data definitionsEstablish mechanism for tracking and monitoring

Establish appropriate data quality measures

! Quality Monitoring/ControlEstablish baseline measurements

Develop and hard-wire tracking and monitoringprocedures

Evaluate and report measurements


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Data Quality

! Quality Evaluation/Improvement

Continuous evaluation of data definitionsEvaluate and improve data measurements

Identify new measurements

Create, Refine, Update, and Delete data based on

customer needs


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Data Sharing

! External relationships

Reduce expenses (COGS)Increase revenues

Reduce administrative expenses

Enables added value to the customer


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Supporting Areas

! Information Management

! Corporate Data Security! Internal Audit

!Legal Affairs


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Process Overview

DataData

IssueIssue

Identified Data Issue


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Process Overview

DataData

IssueIssue

Identified Data Issue Report Data Issue


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Process Overview

DataData

IssueIssue

Identified Data Issue Report Data Issue Any Data Steward can

Initiate Action


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Process Overview

DataData

IssueIssue


Business Data Steward

has Final Approval

Any Data Steward can

Initiate Action


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Process Overview

DataData

IssueIssue


Business Data Steward

has Final Approval

Data Issue Resolved

Any Data Steward can

Initiate Action


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Data Stewardshipin Action

Customer Data Quality

Example


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Know your data

! Where is it?

Data in the wrong fieldsFloating data

Atypical words

Inconsistent structures and formats

! Is it accurate?

! Can you pull it together?

! Can you identify duplicates?


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Know your data

! Is it accurate?

VariationsMisspellings

Old information

Transpositions


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Know your data

! Can you pull it together?

Inconsistent abbreviationsUnusual titles

Misspellings


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Know your data

! Can you identify duplicates?

Business rule development What business rules do you have in place to identify

dupes?

Is it working properly?You should shoot for a 90% accuracy rate, or 10% kick-out for

manual review

If you input data has changed significantly, have youupdated your business rules?


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Data Hygiene

! Scrubbing

Options Database solutions

Combines algorithms with reference tables

Non-database solutionsRelies solely on algorithms

Address Cleansing

USPSNCOA

LACS

DSF


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Matching and Consolidation

! Logic options

Key-code matchingSoundex

Similarity matching

Weighted matchingSpecial purpose algorithms

Special-case logic

General-case logicSpecial-case multi-field logic

General-case multi-field logic

Combining approaches


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Keys take-aways

! The future of business requires successfuldata/information management

! Corporations must provide data quality,security and sharing needed to enable

strategic goals! Corporate data and information are

intellectual assets key to managing Corporateknowledge

! Must have a support network


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Thank you!Dave Harkins

Co-CEO

Taylor- Harkins Group

[email protected]

www.taylorharkins.com

the secret of effective data stewardship

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