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Enterprise Information ManagementEnterprise Information Management

Data Readiness Assessment WebinarData Readiness Assessment Webinar

August 18, 2009August 18, 2009

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Agenda

Corporate Overview

Data Quality - Bigger Issue Than You Might Think

Data Quality - Real Life Examples

Do You Need A Data Readiness Assessment?

What is a Data Readiness Assessment?

Conducting a Data Readiness Assessment

Data Readiness Component Descriptions• Vision & High-Level Requirements

• Data Quality Assessment

• Organizational Assessment

• Process/Best Practice Assessment

• Enabling Technology Assessment

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Corporate Overview

Technology Management Consulting Firm • Provide a unique blend of specialty IT services

• Leverage proven industry expertise in strategy, technology and enterprise performance management

• Focus on middle and Global 2000 market

Founded in 1992• Headquartered in Wakefield, MA

• 300 Employees, 240 Consultants

• 600 Clients

• Large North American Footprint

• +2,000 Projects Completed to Date

• Publicly Traded (NASDAQ: EDGW)

OrganizationalAssessment

Other Customized

Services

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Data Quality – Bigger Issue Than You Might Think

“The cost of poor data could be attributed to be anywhere from 10-25% of the total revenues of any organization. The topmost technology reason for customer relationship management (CRM) projects to fail or miss expectations is poor Data Quality.”

-“Principles of ROI Development for Data Quality Projects”, by Diby Malakar, Published: January 1, 2008

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Data Quality – Bigger Issue Than You Might Think

“The Data Warehousing Institute estimates that data quality problems cost U.S. businesses more than $600 billion a year.”

- “Principles of ROI Development for Data Quality Projects”, by Diby Malakar, Published: January 1, 2008

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Data Quality – Bigger Issue Than You Might Think

“Data quality management is one of the greatest challenges of information technology. According to the experts, the cost of poor data quality can reach as high as 15- to 25-percent of operating profit.”

- “http://www.tdwi.eu/fortbildung-zertifizierung/onsite/courses/data-quality-fundamentals.html

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Data Quality – Real-Life Examples

A telecommunications firm lost $8 million a month because data-entry errors incorrectly coded accounts, preventing bills from being sent out

An insurance company lost hundreds of thousands of dollars annually in mailing costs due to duplicate customer records

An information services firm lost $500,000 annually and alienated customers because it repeatedly recalled reports sent to subscribers due to inaccurate data

A large bank discovered that 62% of its home-equity loans were being calculated incorrectly, with the principal getting larger each month

A health insurance company in the Midwest delayed a decision support system for two years because the quality of its data was “suspect”

A global chemical company discovered it was losing millions of dollars in volume discounts in procuring supplies because it could not correctly identify and reconcile suppliers on a global basis

A regional bank was unable to calculate customer and product profitability due to missing and inaccurate cost data

Source: Data Warehousing Special Report: Data Quality and the Bottom Line, http://www.adtmag.com/article.aspx?id=6321&page

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Do You Need a Data Readiness Assessment?

“Our users don’t trust the data”

“We have data quality issues that never seem

to get resolved”

“The data is not actionable when the

users finally get access to it”

“Our organization has decentralized

operations and does not manage

centralized applications/ environments

well”

“We know we have data quality issues, but we don’t know the extent

or impact” “We don’t know if we have the right

staff/skills to support a move to an

enterprise reporting platform”

“We know we need to better leverage our data, but we

don’t know how to get started”

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What is a Data Readiness Assessment?

A Data Readiness Assessment is a focused review of anorganization’s ability to support centralized reporting and analytics

OrganizationalAssessment

DataQuality

Assessment

Other Customized

Services

EnablingTechnologyAssessment

Process/ BestPractice Assessment

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Benefits

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Conducting a Data Readiness Assessment

A Data Readiness Assessment is a focused review of an organization’s ability to support centralized data. It can be applied to an existing environment or a “green field” environment

A Data Readiness Assessment has 4 core components• Organizational Assessment

• Process/Best Practices Assessment

• Enabling Technology Assessment

• Data Quality Assessment

A Data Readiness Assessment is highly customizable to your unique needs

Other focus areas can be added depending on the your organization’s unique needs

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Conduct Evaluation

Conducting a Data Readiness Assessment

Vision and High-Level

Requirements

Organizational Assessment

Enabling Technology Assessment

Process/Best Practices Assessment

Data Quality Assessment

Assessment Output

Assessment Results and Scorecard

Summary Recommendations

Areas for Additional Focus

Additional Areas of Focus

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Vision and High-Level Requirements

Determining the end-state business capabilities that need to be supported by the centralized data environment

GOAL

Conduct Kick-Off Meeting with Key Business and IT Stakeholders Conduct Facilitated Working Sessions with Key Business and IT

Stakeholders Prepare Vision and High-Level Requirements Summary

Document

MAJOR ACTIVITIES

Presentation that Outlines: The end state vision for the business capabilities that need to be

supported by the centralized data environment The high-level requirements for end-state reporting and analysis

capabilities

TYPICAL DELIVERABLE

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Data Quality Assessment

Determine the quality of key data critical to making business decisions

GOAL

Conduct facilitated working sessions to determine the data elements to include in the assessment

Determine the business data quality rules to apply Conduct up to 3 passes of the data quality processing Review interim results and revise business rules as necessary Conduct a formal review of the assessment results

MAJOR ACTIVITIES

Data Quality Scorecard and Assessment Report: Scorecard detailing the results of the assessment

Details of any data quality issues found and related summary recommendations for remediation

TYPICAL DELIVERABLE

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Organizational Assessment

Assess the current organization structure, capabilities and ability to support a centralized data environment

GOAL

Conduct facilitated working sessions/interviews with key stakeholders and subject matter experts within the data governance and data management functions

Review current staffing and skill set mix of the governance and data management functions

Review documentation related to development, production support, data management and governance

MAJOR ACTIVITIES

Presentation that outlines: Assessment results by organizational component Areas for future focus or further investigation Summary recommendations

TYPICAL DELIVERABLE

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Process/Best Practices Assessment

Assess the current processes, standards and best practices against those required to support a centralized data environment

GOAL

Conduct facilitated working sessions/interviews with key stakeholders and subject matter experts

Review enterprise and key departmental processes, best practices and standards

Review key data management processes, standards and best practices

Review enterprise processes for data quality, data stewardship and data security

MAJOR ACTIVITIES

Presentation that outlines: The assessment results by area Areas for future focus or further investigation Summary recommendations

TYPICAL DELIVERABLE

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Enabling Technology Assessment

Assess the enabling technologies used to support reporting and analytics in a centralized data environment.

GOAL

Evaluate the enabling technology currently used against the required reporting and analysis capabilities

The evaluation will be performed by business intelligence domain, including:

Data Integration (including Data Quality) Data Storage Reporting and Analytics Metadata/Master Data Management Data/User Access

MAJOR ACTIVITIES

Presentation that outlines: The assessment results by business intelligence domain Areas for future focus or further investigation Summary recommendations

TYPICAL DELIVERABLE

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Why Edgewater

Extensive subject matter expertise in data warehousing, business intelligence and enterprise management

Comprehensive EIM Reference Capabilities Map provides foundation for strategy, assessment and implementation of data warehouse and business intelligence solutions

Formalized offering for assessing data readiness

Balance in focus between process/best practices, organizational constructs and enabling technologies

Apply deep industry specific knowledge in the execution of the data readiness assessment

All of our consultants are onshore

We are vendor independent

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Thank You For Joining Us!!!

To learn more about Edgewater’s Data Readiness Assessment, contact:

Mike FaloneyEnterprise Information Management Practice Director804 399-4214mfaloney@edgewater.com

Q & A