Organize to improve Data Quality

1. Organize to improve Data Quality Data Quality?

2. Organize to Improve Data Quality Governance To fully exploit and utilize the data available, a strategic approach to data governance at the enterprise level is required. Manufacturing Distribution Retail Local Regional Corporate Finance Operations Marketing Data Governance The formal designation of People, across lines of business, function, and location, to enable an organization to leverage data as an enterprise asset

3. Organize to Improve Data QualityObjectives • Build an enterprise DQ organization that supports the DQ strategy & processes • Create a culture of information excellence and an information management organization structured to yield results • Establish clearly defined structures, roles and responsibilities for all position levels • Establish clear information ownership and accountabilities to support business objectives • Establish DQ decision-making guidelines and protocols • Identify and ensure engagement of key stakeholders in DQ decision-making process • Enable people with the right skills to build and manage new information systems • Reinforce the concept of collaborative DQ decision & resolution into the new culture – DQ is everyone’s responsibility

4. Organize to Improve Data QualityDQF DQMS Capability Matrix

5. Organize to Improve Data QualityPlan – Key Elements • Organization Model • Who is accountable and responsible for defining, managing, and enforcing DQ at an enterprise level. • Enterprise Structure • Roles & Responsibilities • RACI • multi-level, cross-functional, support to ensure enterprise alignment. • Operational Model • Integrates DQ activities across business and technology processes • Provides an enterprise forum to ensure end-to-end impact assessment of all information management efforts

6. Organize to Improve Data QualityDocument – Roles & Responsibilities (Mfg) • Executive Sponsors • Joint Business & IT (C-level) • Vision & Final Authority • Enterprise Steering Board • Information Owners • Strategy Management & Enterprise Alignment • DQ Review Committee • Domain Leads • Decision making – Functional group remediation • Functional Groups • Information Stewards • Execution & compliance monitoring, responsible for data integrity and quality • Operations • Business & IT users, SMEs • Issue identification

7. Organize to Improve Data QualityDocument – Roles & Responsibilities (Mfg) • Executive Sponsors • Determine Strategy for DQ • Provide guidance for developing Enterprise KPIs for DQ • Approve Data Quality Policy Changes • Provide Enterprise Support • Foster a culture that values information as an enterprise asset • Final word on escalated DQ issues (output) • Allocates funding for Data Quality initiatives • Champions Data Quality to enterprise • Information Owner • Accountable for the management and control of their owned information assets • Define owned information assets and their components (Standards) • Implement information policy in defined functional area • Approve security access for owned information assets. • Specify information control protection requirements • Authorize information access by role: assigns data entry, capture & maintenance • Actively participate on & provide contribution to the Enterprise Steering Board • Identify and report information governance issues on DQ issues log

8. Organize to Improve Data QualityDocument – RACI Example R Responsible for performing the task A Accountable has ultimate ownership and is accountable for making the business decision or delegating specific tasks to other teams C Consulted for inputs and feedback; however, agreement or action on input is not required I Informed of the final result, task completion, and/or deliverable distribution

10. Organize to Improve Data QualityExecute – Key Elements • Education & Awareness • Conduct education programmes to ensure people understand the concept and principals of data quality, and its impact on the organization and its clients. • Internal Communication • Enterprise communication demonstrating how DQ initiatives support the organisation’sobjectives, mission and vision • Training • Provide the necessary technical training to the personnel involved so they can perform their functions as described in the documented roles and responsibilities.

11. Organize to Improve Data QualityMonitor – Key Elements • Capability Review • Periodic review of the governance structure, process flow, roles and responsibilities and ongoing training programmes to evaluate relevance and effectiveness and to identify opportunities for improvement. • Personal Objectives • Monitor the skills and talents required for managing data quality • Compare performance and competencies of personnel to the documented target descriptions and goals • Re-calibrate actions or update goals.