is your data ready to drive your company's future?
DESCRIPTION
Before investing the time and money to implement a reporting and analytics solution to guide you out of the current economic crisis, make sure that your data is prepared to lead the way. Join Edgewater Technology for a step-by-step approach to readying your data to support enterprise reporting and analytics applications.TRANSCRIPT
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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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Data Readiness Webinar 2
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 [email protected]
Q & A