SlideShare ist ein Scribd-Unternehmen logo
1 von 5
Downloaden Sie, um offline zu lesen
Burak S. Arikan | 382 Webster Avenue, Jersey City NJ | +1 (201) 356-7058 | burak@burakarikan.com
Data Quality Management
Data Issue Management and Resolution (IMR) – Practical Approach
Burak S. Arikan
April 2016
Burak S. Arikan | 382 Webster Avenue, Jersey City NJ | +1 (201) 356-7058 | burak@burakarikan.com 2
Data Issue Management and Resolution
Holistic Process Overview
Data Warehouse currently has data issues which cause reports (e.g. holding values) to be inaccurate. Initial analysis identify multiple different manifested symptoms . The goal of this working
group is to detect the root cause of each symptom and identify the steps to remediate. If a remediation is deemed to be feasible and necessary, a separate project will be created to implement
the resolution.
Data Issue Analysis Project Life Cycle
Detect
Record
Prioritize
Analyze
Root Cause
Finalization by CDO
Root Cause
Sign-off by
Stakeholders
Solution
Design
Solution Sign-off
by
Stakeholders/CDO
Remediate?
STOP
Common
tool
Issue Specific Remediation Project
FRD
FRD Sign-off
Construction
Testing
Support Model
Monitoring
& Alerting
Data Ownership
Implementation
Post
Implementation
New Process
Flow by Owner
New Process
Sign-off
New Process
Globalization
New Process
Implementation
New Process
Monitoring by
Data Warehouse
TECHNOLOGY
SOLUTION
OPERATIONS
SOLUTION
NO
YES
Burak S. Arikan | 382 Webster Avenue, Jersey City NJ | +1 (201) 356-7058 | burak@burakarikan.com 3
Data Issue Management and Resolution
Detailed Analysis Process
The following list the methodology to manage issues and report on them.
BusinessAnalystREQUESTER
1. Submit Data
Issue
DataQualityAnalysis
ProjectWorkingGroup
2. Review
Request
Request
Approved?
3. Assign it to a
DQ Analyst to
investigate
No
Yes
4. Collect the
existing
information on
the issue
10 . Initiate a
kick of call to
agree on the
problem
5. Prepare
initial problem
statement
6. Identify all
key players
Identified
all key
player?
7. Escalate to
Working Group
for assistance
8. Identify the
further needed
players
9. Source the
players to the
BA
11. Identify root
cause
C. Report Progress into Working Group and update details on the SharePoint
C. Perform weekly status calls to track development
12. Obtain the
agreement on
the root cause
13. Initiate
Solutioning
conversations
Root Cause
Approved?
No
Yes
Solution
agreed and
approved?
No
Yes
No
Yes
14. Present the
solution Design
to Present to
Working Group
15. Assess the
required
resources,
budget for
securitization
18. Inform the
requester about
the outcomes
Big effort
project?
17. Initiate a
project through
proper channel
16. Resolve it
as a minor fix
Yes
No
19. Requestor
is updated
Burak S. Arikan | 382 Webster Avenue, Jersey City NJ | +1 (201) 356-7058 | burak@burakarikan.com 4
Data Issue Management and Resolution
Governance
Project Sponsor Data Quality (DQ) Council
Sets policies & ultimate project decision
making body
Enterprise CDO
CDO DQ Analysis Program
Oversight of the entire program
Reporting, Consulting & StrategyGovernance Implementation
Business & Ops
Responsible for supporting
analysis of issues and sharing
business expertise and bring key
players.
Data Warehouse
Technology
Responsible for leading the
analysis of data issues that
manifest themselves through
Data Warehouse.
Data Quality Analysis Project Working Group
Super User Group
Business Users of Data within Data
Warehouse . Reports data issues, support
analysis and resolution
CustodySystem
1
TradeCapture
System
FundAccounting
System
CustodyProd
FINCON
Business
Intelligence
Business
Analyst
Business
Analyst
Technology
Meets weekly in order to:
•Set expectations & targets
• Prioritize existing and newly identified
data issues
•Resolves issues escalated by BAs
• Holds a weekly meeting for:
Status update
Issue & Risk
A proper governance structure is needed in order to ensure that appropriate parties are engaged .
Technology Manager
Core Systems
Responsible for supporting the
analysis that are undertaken by
data analyst , and designing and
implementing the resolution.
Burak S. Arikan | 382 Webster Avenue, Jersey City NJ | +1 (201) 356-7058 | burak@burakarikan.com 5
Data Issue Management and Resolution
Communication Plan
Each issue is managed by the assigned Data Quality Analyst (DQA). It is DQA’s sole responsibility to understand and document an approved root cause and ensure that a solution to address
the root cause is devised. “Data Quality Analysis Project Working Group” meetings are set to review the results of BA’s work, escalation and resolution.
Day-to-dayIssue
Calls
GenEmail
Distribution
WeeklyIssue
AnalysisStatusCall
Bi-weeklyCouncil
Meeting
DataCouncil
Roles
Data Quality Analyst X X X X -
Data Warehouse Technology Resources AN AN - - -
Source System Technology Experts AN AN AN - -
Source System Operations AN AN - - -
Source System Product Experts AN AN AN - -
Data Issue Requester AN AN X - -
Data Analysis Program Members - X X X X
AN: As Needed. This means that the party will be included if it is a stakeholder for the issue.

Weitere ähnliche Inhalte

Was ist angesagt?

Data Quality Strategies
Data Quality StrategiesData Quality Strategies
Data Quality StrategiesDATAVERSITY
 
Data Quality & Data Governance
Data Quality & Data GovernanceData Quality & Data Governance
Data Quality & Data GovernanceTuba Yaman Him
 
How to Make a Data Governance Program that Lasts
How to Make a Data Governance Program that LastsHow to Make a Data Governance Program that Lasts
How to Make a Data Governance Program that LastsDATAVERSITY
 
Data Quality Best Practices
Data Quality Best PracticesData Quality Best Practices
Data Quality Best PracticesDATAVERSITY
 
Data Quality Best Practices
Data Quality Best PracticesData Quality Best Practices
Data Quality Best PracticesDATAVERSITY
 
How to Strengthen Enterprise Data Governance with Data Quality
How to Strengthen Enterprise Data Governance with Data QualityHow to Strengthen Enterprise Data Governance with Data Quality
How to Strengthen Enterprise Data Governance with Data QualityDATAVERSITY
 
The Role of Data Governance in a Data Strategy
The Role of Data Governance in a Data StrategyThe Role of Data Governance in a Data Strategy
The Role of Data Governance in a Data StrategyDATAVERSITY
 
Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)DATAVERSITY
 
Review of Data Management Maturity Models
Review of Data Management Maturity ModelsReview of Data Management Maturity Models
Review of Data Management Maturity ModelsAlan McSweeney
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
 
DAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best PracticesDAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best PracticesDATAVERSITY
 
Data Strategy Best Practices
Data Strategy Best PracticesData Strategy Best Practices
Data Strategy Best PracticesDATAVERSITY
 
Improving Data Literacy Around Data Architecture
Improving Data Literacy Around Data ArchitectureImproving Data Literacy Around Data Architecture
Improving Data Literacy Around Data ArchitectureDATAVERSITY
 
Implementing Effective Data Governance
Implementing Effective Data GovernanceImplementing Effective Data Governance
Implementing Effective Data GovernanceChristopher Bradley
 
Building a Data Governance Strategy
Building a Data Governance StrategyBuilding a Data Governance Strategy
Building a Data Governance StrategyAnalytics8
 
Data Catalog for Better Data Discovery and Governance
Data Catalog for Better Data Discovery and GovernanceData Catalog for Better Data Discovery and Governance
Data Catalog for Better Data Discovery and GovernanceDenodo
 
Data Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better ReportingData Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better Reportingaccenture
 
You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?Precisely
 
How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...Christopher Bradley
 

Was ist angesagt? (20)

Data Quality Strategies
Data Quality StrategiesData Quality Strategies
Data Quality Strategies
 
Data Quality & Data Governance
Data Quality & Data GovernanceData Quality & Data Governance
Data Quality & Data Governance
 
How to Make a Data Governance Program that Lasts
How to Make a Data Governance Program that LastsHow to Make a Data Governance Program that Lasts
How to Make a Data Governance Program that Lasts
 
Data Quality Best Practices
Data Quality Best PracticesData Quality Best Practices
Data Quality Best Practices
 
Data Quality Best Practices
Data Quality Best PracticesData Quality Best Practices
Data Quality Best Practices
 
How to Strengthen Enterprise Data Governance with Data Quality
How to Strengthen Enterprise Data Governance with Data QualityHow to Strengthen Enterprise Data Governance with Data Quality
How to Strengthen Enterprise Data Governance with Data Quality
 
The Role of Data Governance in a Data Strategy
The Role of Data Governance in a Data StrategyThe Role of Data Governance in a Data Strategy
The Role of Data Governance in a Data Strategy
 
Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)
 
Review of Data Management Maturity Models
Review of Data Management Maturity ModelsReview of Data Management Maturity Models
Review of Data Management Maturity Models
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
 
DAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best PracticesDAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best Practices
 
DMBOK and Data Governance
DMBOK and Data GovernanceDMBOK and Data Governance
DMBOK and Data Governance
 
Data Strategy Best Practices
Data Strategy Best PracticesData Strategy Best Practices
Data Strategy Best Practices
 
Improving Data Literacy Around Data Architecture
Improving Data Literacy Around Data ArchitectureImproving Data Literacy Around Data Architecture
Improving Data Literacy Around Data Architecture
 
Implementing Effective Data Governance
Implementing Effective Data GovernanceImplementing Effective Data Governance
Implementing Effective Data Governance
 
Building a Data Governance Strategy
Building a Data Governance StrategyBuilding a Data Governance Strategy
Building a Data Governance Strategy
 
Data Catalog for Better Data Discovery and Governance
Data Catalog for Better Data Discovery and GovernanceData Catalog for Better Data Discovery and Governance
Data Catalog for Better Data Discovery and Governance
 
Data Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better ReportingData Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better Reporting
 
You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?
 
How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...
 

Andere mochten auch

Data quality management Basic
Data quality management BasicData quality management Basic
Data quality management BasicKhaled Mosharraf
 
Data quality and data profiling
Data quality and data profilingData quality and data profiling
Data quality and data profilingShailja Khurana
 
Data Governance and the Internet of Things
Data Governance and the Internet of ThingsData Governance and the Internet of Things
Data Governance and the Internet of ThingsDATAVERSITY
 
Corporate Data Quality Management Research and Services Overview
Corporate Data Quality Management Research and Services OverviewCorporate Data Quality Management Research and Services Overview
Corporate Data Quality Management Research and Services OverviewBoris Otto
 
Data Governance in the Big Data Era
Data Governance in the Big Data EraData Governance in the Big Data Era
Data Governance in the Big Data EraPieter De Leenheer
 
Data Governance Best Practices
Data Governance Best PracticesData Governance Best Practices
Data Governance Best PracticesBoris Otto
 
Data Quality in Data Warehouse and Business Intelligence Environments - Disc...
Data Quality in  Data Warehouse and Business Intelligence Environments - Disc...Data Quality in  Data Warehouse and Business Intelligence Environments - Disc...
Data Quality in Data Warehouse and Business Intelligence Environments - Disc...Alan D. Duncan
 
Data quality architecture
Data quality architectureData quality architecture
Data quality architectureanicewick
 

Andere mochten auch (11)

Data quality management Basic
Data quality management BasicData quality management Basic
Data quality management Basic
 
Data quality and data profiling
Data quality and data profilingData quality and data profiling
Data quality and data profiling
 
Data Quality Definitions
Data Quality DefinitionsData Quality Definitions
Data Quality Definitions
 
Data Governance and the Internet of Things
Data Governance and the Internet of ThingsData Governance and the Internet of Things
Data Governance and the Internet of Things
 
Corporate Data Quality Management Research and Services Overview
Corporate Data Quality Management Research and Services OverviewCorporate Data Quality Management Research and Services Overview
Corporate Data Quality Management Research and Services Overview
 
Data Quality Presentation
Data Quality PresentationData Quality Presentation
Data Quality Presentation
 
Data Governance in the Big Data Era
Data Governance in the Big Data EraData Governance in the Big Data Era
Data Governance in the Big Data Era
 
Ebook - The Guide to Master Data Management
Ebook - The Guide to Master Data Management Ebook - The Guide to Master Data Management
Ebook - The Guide to Master Data Management
 
Data Governance Best Practices
Data Governance Best PracticesData Governance Best Practices
Data Governance Best Practices
 
Data Quality in Data Warehouse and Business Intelligence Environments - Disc...
Data Quality in  Data Warehouse and Business Intelligence Environments - Disc...Data Quality in  Data Warehouse and Business Intelligence Environments - Disc...
Data Quality in Data Warehouse and Business Intelligence Environments - Disc...
 
Data quality architecture
Data quality architectureData quality architecture
Data quality architecture
 

Ähnlich wie Data Quality Management - Data Issue Management & Resolutionn / Practical Approach

DI&A Slides: Data-Centric Development
DI&A Slides: Data-Centric DevelopmentDI&A Slides: Data-Centric Development
DI&A Slides: Data-Centric DevelopmentDATAVERSITY
 
MSIS630 Project Final Group 12_9_2015
MSIS630 Project Final Group 12_9_2015MSIS630 Project Final Group 12_9_2015
MSIS630 Project Final Group 12_9_2015Feng Liu
 
SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...
SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...
SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...BigData_Europe
 
Resume RBrown 08 2015
Resume RBrown 08 2015Resume RBrown 08 2015
Resume RBrown 08 2015Robin Brown
 
Christopher Scott PMP Resume C1
Christopher Scott PMP Resume C1Christopher Scott PMP Resume C1
Christopher Scott PMP Resume C1Christopher Scott
 
Keeping the Pulse of Your Data: Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data:  Why You Need Data Observability to Improve D...Keeping the Pulse of Your Data:  Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data: Why You Need Data Observability to Improve D...Precisely
 
Advanced Project Data Analytics for Improved Project Delivery
Advanced Project Data Analytics for Improved Project DeliveryAdvanced Project Data Analytics for Improved Project Delivery
Advanced Project Data Analytics for Improved Project DeliveryMark Constable
 
Root Cause and Corrective Action (RCCA) Workshop
Root Cause and Corrective Action (RCCA) WorkshopRoot Cause and Corrective Action (RCCA) Workshop
Root Cause and Corrective Action (RCCA) WorkshopAccendo Reliability
 
Ernest kyle oliver resume final
Ernest kyle oliver resume finalErnest kyle oliver resume final
Ernest kyle oliver resume finalErnest Oliver
 
Practical Implementation Tips For Implementing a Financial Planning - QueBIT ...
Practical Implementation Tips For Implementing a Financial Planning - QueBIT ...Practical Implementation Tips For Implementing a Financial Planning - QueBIT ...
Practical Implementation Tips For Implementing a Financial Planning - QueBIT ...QueBIT Consulting
 
SE MGD Sample.pdf
SE MGD Sample.pdfSE MGD Sample.pdf
SE MGD Sample.pdfStevenShing
 
MitchRESUME 02_22_2016
MitchRESUME 02_22_2016MitchRESUME 02_22_2016
MitchRESUME 02_22_2016Mitch Taylor
 
Are you getting the most out of your data?
Are you getting the most out of your data?Are you getting the most out of your data?
Are you getting the most out of your data?SAS Canada
 

Ähnlich wie Data Quality Management - Data Issue Management & Resolutionn / Practical Approach (20)

Root cause analysis by: ICG Team
Root cause analysis by: ICG TeamRoot cause analysis by: ICG Team
Root cause analysis by: ICG Team
 
Surender Reddy
Surender ReddySurender Reddy
Surender Reddy
 
Arun_Kaushik
Arun_KaushikArun_Kaushik
Arun_Kaushik
 
DI&A Slides: Data-Centric Development
DI&A Slides: Data-Centric DevelopmentDI&A Slides: Data-Centric Development
DI&A Slides: Data-Centric Development
 
MSIS630 Project Final Group 12_9_2015
MSIS630 Project Final Group 12_9_2015MSIS630 Project Final Group 12_9_2015
MSIS630 Project Final Group 12_9_2015
 
SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...
SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...
SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...
 
Resume RBrown 08 2015
Resume RBrown 08 2015Resume RBrown 08 2015
Resume RBrown 08 2015
 
Christopher Scott PMP Resume C1
Christopher Scott PMP Resume C1Christopher Scott PMP Resume C1
Christopher Scott PMP Resume C1
 
Jinan Babu
Jinan BabuJinan Babu
Jinan Babu
 
Keeping the Pulse of Your Data: Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data:  Why You Need Data Observability to Improve D...Keeping the Pulse of Your Data:  Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data: Why You Need Data Observability to Improve D...
 
Shail_Tank
Shail_TankShail_Tank
Shail_Tank
 
Advanced Project Data Analytics for Improved Project Delivery
Advanced Project Data Analytics for Improved Project DeliveryAdvanced Project Data Analytics for Improved Project Delivery
Advanced Project Data Analytics for Improved Project Delivery
 
Root Cause and Corrective Action (RCCA) Workshop
Root Cause and Corrective Action (RCCA) WorkshopRoot Cause and Corrective Action (RCCA) Workshop
Root Cause and Corrective Action (RCCA) Workshop
 
Ernest kyle oliver resume final
Ernest kyle oliver resume finalErnest kyle oliver resume final
Ernest kyle oliver resume final
 
Practical Implementation Tips For Implementing a Financial Planning - QueBIT ...
Practical Implementation Tips For Implementing a Financial Planning - QueBIT ...Practical Implementation Tips For Implementing a Financial Planning - QueBIT ...
Practical Implementation Tips For Implementing a Financial Planning - QueBIT ...
 
SE MGD Sample.pdf
SE MGD Sample.pdfSE MGD Sample.pdf
SE MGD Sample.pdf
 
Radhika_Jain_CV
Radhika_Jain_CVRadhika_Jain_CV
Radhika_Jain_CV
 
MSBProfile.doc
MSBProfile.docMSBProfile.doc
MSBProfile.doc
 
MitchRESUME 02_22_2016
MitchRESUME 02_22_2016MitchRESUME 02_22_2016
MitchRESUME 02_22_2016
 
Are you getting the most out of your data?
Are you getting the most out of your data?Are you getting the most out of your data?
Are you getting the most out of your data?
 

Kürzlich hochgeladen

5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteedamy56318795
 
Capstone in Interprofessional Informatic // IMPACT OF COVID 19 ON EDUCATION
Capstone in Interprofessional Informatic  // IMPACT OF COVID 19 ON EDUCATIONCapstone in Interprofessional Informatic  // IMPACT OF COVID 19 ON EDUCATION
Capstone in Interprofessional Informatic // IMPACT OF COVID 19 ON EDUCATIONLakpaYanziSherpa
 
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...nirzagarg
 
PLE-statistics document for primary schs
PLE-statistics document for primary schsPLE-statistics document for primary schs
PLE-statistics document for primary schscnajjemba
 
Harnessing the Power of GenAI for BI and Reporting.pptx
Harnessing the Power of GenAI for BI and Reporting.pptxHarnessing the Power of GenAI for BI and Reporting.pptx
Harnessing the Power of GenAI for BI and Reporting.pptxParas Gupta
 
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...gajnagarg
 
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...Klinik kandungan
 
怎样办理纽约州立大学宾汉姆顿分校毕业证(SUNY-Bin毕业证书)成绩单学校原版复制
怎样办理纽约州立大学宾汉姆顿分校毕业证(SUNY-Bin毕业证书)成绩单学校原版复制怎样办理纽约州立大学宾汉姆顿分校毕业证(SUNY-Bin毕业证书)成绩单学校原版复制
怎样办理纽约州立大学宾汉姆顿分校毕业证(SUNY-Bin毕业证书)成绩单学校原版复制vexqp
 
7. Epi of Chronic respiratory diseases.ppt
7. Epi of Chronic respiratory diseases.ppt7. Epi of Chronic respiratory diseases.ppt
7. Epi of Chronic respiratory diseases.pptibrahimabdi22
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Valters Lauzums
 
Reconciling Conflicting Data Curation Actions: Transparency Through Argument...
Reconciling Conflicting Data Curation Actions:  Transparency Through Argument...Reconciling Conflicting Data Curation Actions:  Transparency Through Argument...
Reconciling Conflicting Data Curation Actions: Transparency Through Argument...Bertram Ludäscher
 
怎样办理伦敦大学毕业证(UoL毕业证书)成绩单学校原版复制
怎样办理伦敦大学毕业证(UoL毕业证书)成绩单学校原版复制怎样办理伦敦大学毕业证(UoL毕业证书)成绩单学校原版复制
怎样办理伦敦大学毕业证(UoL毕业证书)成绩单学校原版复制vexqp
 
Discover Why Less is More in B2B Research
Discover Why Less is More in B2B ResearchDiscover Why Less is More in B2B Research
Discover Why Less is More in B2B Researchmichael115558
 
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...Elaine Werffeli
 
Ranking and Scoring Exercises for Research
Ranking and Scoring Exercises for ResearchRanking and Scoring Exercises for Research
Ranking and Scoring Exercises for ResearchRajesh Mondal
 
The-boAt-Story-Navigating-the-Waves-of-Innovation.pptx
The-boAt-Story-Navigating-the-Waves-of-Innovation.pptxThe-boAt-Story-Navigating-the-Waves-of-Innovation.pptx
The-boAt-Story-Navigating-the-Waves-of-Innovation.pptxVivek487417
 
Top profile Call Girls In Hapur [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hapur [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In Hapur [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hapur [ 7014168258 ] Call Me For Genuine Models We ...nirzagarg
 
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With OrangePredicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With OrangeThinkInnovation
 
Switzerland Constitution 2002.pdf.........
Switzerland Constitution 2002.pdf.........Switzerland Constitution 2002.pdf.........
Switzerland Constitution 2002.pdf.........EfruzAsilolu
 

Kürzlich hochgeladen (20)

5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
 
Capstone in Interprofessional Informatic // IMPACT OF COVID 19 ON EDUCATION
Capstone in Interprofessional Informatic  // IMPACT OF COVID 19 ON EDUCATIONCapstone in Interprofessional Informatic  // IMPACT OF COVID 19 ON EDUCATION
Capstone in Interprofessional Informatic // IMPACT OF COVID 19 ON EDUCATION
 
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...
 
PLE-statistics document for primary schs
PLE-statistics document for primary schsPLE-statistics document for primary schs
PLE-statistics document for primary schs
 
Harnessing the Power of GenAI for BI and Reporting.pptx
Harnessing the Power of GenAI for BI and Reporting.pptxHarnessing the Power of GenAI for BI and Reporting.pptx
Harnessing the Power of GenAI for BI and Reporting.pptx
 
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...
 
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...
 
怎样办理纽约州立大学宾汉姆顿分校毕业证(SUNY-Bin毕业证书)成绩单学校原版复制
怎样办理纽约州立大学宾汉姆顿分校毕业证(SUNY-Bin毕业证书)成绩单学校原版复制怎样办理纽约州立大学宾汉姆顿分校毕业证(SUNY-Bin毕业证书)成绩单学校原版复制
怎样办理纽约州立大学宾汉姆顿分校毕业证(SUNY-Bin毕业证书)成绩单学校原版复制
 
7. Epi of Chronic respiratory diseases.ppt
7. Epi of Chronic respiratory diseases.ppt7. Epi of Chronic respiratory diseases.ppt
7. Epi of Chronic respiratory diseases.ppt
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
 
Reconciling Conflicting Data Curation Actions: Transparency Through Argument...
Reconciling Conflicting Data Curation Actions:  Transparency Through Argument...Reconciling Conflicting Data Curation Actions:  Transparency Through Argument...
Reconciling Conflicting Data Curation Actions: Transparency Through Argument...
 
怎样办理伦敦大学毕业证(UoL毕业证书)成绩单学校原版复制
怎样办理伦敦大学毕业证(UoL毕业证书)成绩单学校原版复制怎样办理伦敦大学毕业证(UoL毕业证书)成绩单学校原版复制
怎样办理伦敦大学毕业证(UoL毕业证书)成绩单学校原版复制
 
Sequential and reinforcement learning for demand side management by Margaux B...
Sequential and reinforcement learning for demand side management by Margaux B...Sequential and reinforcement learning for demand side management by Margaux B...
Sequential and reinforcement learning for demand side management by Margaux B...
 
Discover Why Less is More in B2B Research
Discover Why Less is More in B2B ResearchDiscover Why Less is More in B2B Research
Discover Why Less is More in B2B Research
 
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
 
Ranking and Scoring Exercises for Research
Ranking and Scoring Exercises for ResearchRanking and Scoring Exercises for Research
Ranking and Scoring Exercises for Research
 
The-boAt-Story-Navigating-the-Waves-of-Innovation.pptx
The-boAt-Story-Navigating-the-Waves-of-Innovation.pptxThe-boAt-Story-Navigating-the-Waves-of-Innovation.pptx
The-boAt-Story-Navigating-the-Waves-of-Innovation.pptx
 
Top profile Call Girls In Hapur [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hapur [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In Hapur [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hapur [ 7014168258 ] Call Me For Genuine Models We ...
 
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With OrangePredicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange
 
Switzerland Constitution 2002.pdf.........
Switzerland Constitution 2002.pdf.........Switzerland Constitution 2002.pdf.........
Switzerland Constitution 2002.pdf.........
 

Data Quality Management - Data Issue Management & Resolutionn / Practical Approach

  • 1. Burak S. Arikan | 382 Webster Avenue, Jersey City NJ | +1 (201) 356-7058 | burak@burakarikan.com Data Quality Management Data Issue Management and Resolution (IMR) – Practical Approach Burak S. Arikan April 2016
  • 2. Burak S. Arikan | 382 Webster Avenue, Jersey City NJ | +1 (201) 356-7058 | burak@burakarikan.com 2 Data Issue Management and Resolution Holistic Process Overview Data Warehouse currently has data issues which cause reports (e.g. holding values) to be inaccurate. Initial analysis identify multiple different manifested symptoms . The goal of this working group is to detect the root cause of each symptom and identify the steps to remediate. If a remediation is deemed to be feasible and necessary, a separate project will be created to implement the resolution. Data Issue Analysis Project Life Cycle Detect Record Prioritize Analyze Root Cause Finalization by CDO Root Cause Sign-off by Stakeholders Solution Design Solution Sign-off by Stakeholders/CDO Remediate? STOP Common tool Issue Specific Remediation Project FRD FRD Sign-off Construction Testing Support Model Monitoring & Alerting Data Ownership Implementation Post Implementation New Process Flow by Owner New Process Sign-off New Process Globalization New Process Implementation New Process Monitoring by Data Warehouse TECHNOLOGY SOLUTION OPERATIONS SOLUTION NO YES
  • 3. Burak S. Arikan | 382 Webster Avenue, Jersey City NJ | +1 (201) 356-7058 | burak@burakarikan.com 3 Data Issue Management and Resolution Detailed Analysis Process The following list the methodology to manage issues and report on them. BusinessAnalystREQUESTER 1. Submit Data Issue DataQualityAnalysis ProjectWorkingGroup 2. Review Request Request Approved? 3. Assign it to a DQ Analyst to investigate No Yes 4. Collect the existing information on the issue 10 . Initiate a kick of call to agree on the problem 5. Prepare initial problem statement 6. Identify all key players Identified all key player? 7. Escalate to Working Group for assistance 8. Identify the further needed players 9. Source the players to the BA 11. Identify root cause C. Report Progress into Working Group and update details on the SharePoint C. Perform weekly status calls to track development 12. Obtain the agreement on the root cause 13. Initiate Solutioning conversations Root Cause Approved? No Yes Solution agreed and approved? No Yes No Yes 14. Present the solution Design to Present to Working Group 15. Assess the required resources, budget for securitization 18. Inform the requester about the outcomes Big effort project? 17. Initiate a project through proper channel 16. Resolve it as a minor fix Yes No 19. Requestor is updated
  • 4. Burak S. Arikan | 382 Webster Avenue, Jersey City NJ | +1 (201) 356-7058 | burak@burakarikan.com 4 Data Issue Management and Resolution Governance Project Sponsor Data Quality (DQ) Council Sets policies & ultimate project decision making body Enterprise CDO CDO DQ Analysis Program Oversight of the entire program Reporting, Consulting & StrategyGovernance Implementation Business & Ops Responsible for supporting analysis of issues and sharing business expertise and bring key players. Data Warehouse Technology Responsible for leading the analysis of data issues that manifest themselves through Data Warehouse. Data Quality Analysis Project Working Group Super User Group Business Users of Data within Data Warehouse . Reports data issues, support analysis and resolution CustodySystem 1 TradeCapture System FundAccounting System CustodyProd FINCON Business Intelligence Business Analyst Business Analyst Technology Meets weekly in order to: •Set expectations & targets • Prioritize existing and newly identified data issues •Resolves issues escalated by BAs • Holds a weekly meeting for: Status update Issue & Risk A proper governance structure is needed in order to ensure that appropriate parties are engaged . Technology Manager Core Systems Responsible for supporting the analysis that are undertaken by data analyst , and designing and implementing the resolution.
  • 5. Burak S. Arikan | 382 Webster Avenue, Jersey City NJ | +1 (201) 356-7058 | burak@burakarikan.com 5 Data Issue Management and Resolution Communication Plan Each issue is managed by the assigned Data Quality Analyst (DQA). It is DQA’s sole responsibility to understand and document an approved root cause and ensure that a solution to address the root cause is devised. “Data Quality Analysis Project Working Group” meetings are set to review the results of BA’s work, escalation and resolution. Day-to-dayIssue Calls GenEmail Distribution WeeklyIssue AnalysisStatusCall Bi-weeklyCouncil Meeting DataCouncil Roles Data Quality Analyst X X X X - Data Warehouse Technology Resources AN AN - - - Source System Technology Experts AN AN AN - - Source System Operations AN AN - - - Source System Product Experts AN AN AN - - Data Issue Requester AN AN X - - Data Analysis Program Members - X X X X AN: As Needed. This means that the party will be included if it is a stakeholder for the issue.