Data Quality Management - Data Issue Management & Resolutionn / Practical Approach
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One of the key stepping stones to turn the theoretical Data Governance concept to reality is the implementation of data issue management and resolution (IMR) process which includes tools, processes, governance and most importantly persistence to get to the bottom of the each data quality issue. This presentation lays down the basic components of IMR process and tries to guide practitioners. This process was applied along with an in-house configured SharePoint management tool with workflows.
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Data Quality Management - Data Issue Management & Resolutionn / Practical Approach
- 1. Burak S. Arikan | 382 Webster Avenue, Jersey City NJ | +1 (201) 356-7058 | [email protected] 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 | [email protected] 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 | [email protected] 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 | [email protected] 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 | [email protected] 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.