Data Governance Primer. A PPDM Workshop. March 2015

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1 Data Governance Primer A PPDM Workshop March 2015

2 Agenda - SETTING THE STAGE - DATA GOVERNANCE BASICS - METHODOLOGY - KEYS TO SUCCESS Copyright 2015 Noah Consulting LLC. All Rights Reserved.

3 Industry Drivers Industry globalization & pace of business has made traditional silo ed operational model unworkable Need for cross-functional, timely & trustworthy information to support daily operations & critical business decision making Profitability & competitiveness demand focusing the talent pool on value-added work rather than hunting for information, constant rework resulting from poor data quality. C level accountability for accurate corporate reporting is expanding Sustained data accuracy & reliability is paramount Need for a single version of the truth Need for governance & stewardship within the business Significant increase in volume & complexity of data being generated & leveraged while headcount remains constant or decreases Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 3

4 What happens when the business can t find or trust the data it needs to make good business decisions? Is this YOUR company? Can you AFFORD to keep operating this way? Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 4

5 Think about your answers to these questions How quickly can you produce an accurate inventory of all your assets? Have you embarked on data cleanup projects (again & again)? How much time do your knowledge workers spend searching for or reconciling data? Have you ever had to amend regulatory filings, partner billing or revenue payments because of errors? Have you ever lost a asset because you lost track of the contractual obligations? This is zero-value overhead, reducing your overall margins & detracting from progressing capabilities to surpass your competition Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 5

6 DATA GOVERNANCE BASICS Copyright 2015 Noah Consulting LLC. All Rights Reserved.

7 Begin with Data Management What is it? DAMA Wheel Data Management is the development & execution of architectures, policies, practices & procedures that transform the value of data into information assets through its lifecycle. Data Quality is a component Data Governance is a core component Image from the Data Management Book of Knowledge (DMBOK) published by Data Management International (DAMA) Copyright 2015 Noah Consulting LLC. All Rights Reserved. Page 7

8 What is Data Quality? Relevance Timeliness Accuracy Efficiency Completeness Precision Fit for Purpose is used as a best definition Interoperability Reliability But what does that mean? Consistency Integrity Usability Page 8

9 What is Data Governance? Data Governance Framework of people, process & technology that enables, delivers, & sustains to positively affect Data Management Data Governance lets us take ownership of our information as a team where everyone clearly understands their role & the data they are responsible for Data Governance defines expectations, sets authority, & monitors & verifies performance Data Governance identifies what business must do to achieve & sustain known quality Data Governance includes principles & processes, standards & rules, roles & responsibilities Data Stewardship Data Governance Data Quality You can improve Data Quality for a short period of time, but without Data Governance & Data Stewardship, it won t last! Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 9

10 What is Data Stewardship? Data Stewardship - Activities to implement & monitor Data Governance standards Data Stewardship enables Data Management to be effective across the company Data Stewardship is a key organizational capability for the sustainment of Data Quality Data Stewardship is implemented by the Data Steward The Data Steward is accountable for Data Quality & the monitoring of Data Governance standards for their area of responsibility Monitor Resolve Improve Notify Report Sustainable Data Management requires accountable individuals Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 10

11 Supporting Effective Data Management Process How is data created or modified? DG Who is responsible, accountable, consulted or informed to perform within the Data Governance framework? People Technology Where are processes, rules, terms & definitions captured, maintained & executed? Balance is needed to support effective Data Management Copyright 2015 Noah Consulting LLC. All Rights Reserved DS = Data Stewardship DG = Data Governance

12 Data Governance a New Type of Agreement Data Governance is not a one-time action carried out by IT but an ongoing, iterative effort in which functional areas agree which data types are most important, then take ownership of their data. Through a coordinated effort, designated roles, & sustainable processes, data quality is improved & maintained. Data Governance is the structure that encourages consistent, desired behavior and establishes how the business makes decisions to define, manage, & maintain high quality data. Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 12

13 DATA GOVERNANCE METHODOLOGY Copyright 2015 Noah Consulting LLC. All Rights Reserved.

14 Data Governance Components Framework Process Workflow Architecture Organizational Model Roadmap Copyright 2015 Noah Consulting LLC. All Rights Reserved. Page 14

15 Data Governance Framework Organizational Leadership Enablement Delivery Sustainment Organizational Capability Policies & Procedures Technical Capability Data Quality Management Data Remediation Process Knowledge Management Standards Evergreen Monitoring Data Governance Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 15

16 Data Governance Process Workflow Define, Develop Standards On-Board Governance Project Stakeholders Refine, Scope & Prioritize Data Engage Team, SMEs Develop Organizational Capability Develop Technology Vet & Approve Standards Roll-out Standards & Tools with appropriate OCM Monitor & Maintain Remediate & Sustain 8 Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 16

17 Data Governance Conceptual Architecture Data Governance User Interface Administration Reporting Monitoring Query Data Governance Standards Repository Business Standards Data Standards Process Standards Organization Data Governance Services Rules Engine Make it Clean Keep it Clean Data Repositories MDM SOR etc. etc. etc. Data Governance Metadata Repositories Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 17

18 Operational Tactical Data Type 1 Data Type 2 Data Type 3 Strategic Geospatial Data Governance Organization Structure Data Governance Organizational Model Data Governance Governing Body Business Function 1 Business Function 2 Business Function 3 IT Leadership Data Governance Governing Body Data Governance Business IT Delivery Teams Data Governance Support Team Data Stewards Business SMEs Manager Sustainment Teams Training Coordinator Advisor(s) Business Roles Oversight Roles Copyright 2015 Noah Consulting LLC. All Rights Reserved IT Roles

19 Data Governance Roadmap 3 to 5 Year Data Governance Roadmap T 1 T 2 T 3 F R DG Foundation DG Foundation DG Foundation Data Remediation Track Page 19

20 DATA GOVERNANCE KEYS TO SUCCESS Copyright 2015 Noah Consulting LLC. All Rights Reserved.

21 Data Governance Maturity an Evolution Where is your company? Understand your company s data governance maturity level We think our data is fine We notice some problems We know our problems & are engaged in solution options Standards defined, Processes evolving, Critical data governed Competitive Advantage Unaware Aware Engaged Defined Standards Fully Adopted Copyright 2015 Noah Consulting LLC. All Rights Reserved. Page 21

22 Data Governance Design & Implementation Guiding Principles: Plan for an iterative, evolutionary governance model Set realistic, achievable goals for each iteration Build Monitoring Tools early Deliver Business Value in every iteration Goal of data quality metrics is to drive effective & efficient business processes to support business decisions, not data quality for data quality sake Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 22

23 Data Governance Design & Implementation Real-life Learnings: Big Bang approach to implementing Data Governance rarely works If people can t SEE IT easily, you can t realistically govern it Successes come from a phase approach with a tight focus for each iteration & delivering recognized business value There is no one size fits all engagement model or organizational model Company culture & maturity must be considered before deciding on organization structure & titles Avoid command/control/compliance-focused organization structures when data governance maturity is in early stages Leverage business people who care about data quality & work data corrections Data Quality issues are often traceable to a broken or incomplete Business Processes or a system process involved in authoring/loading the data Information Stewards must not solely be accountable for data quality. Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 22

24 A Proven Approach A high percentage of Data Governance efforts fail to deliver on the vision or anticipated results Successful & repeated implemented industry relevant Data Governance with significant measurable improvements in data availability & trustworthiness Leverage specific accelerators to boost the efficiency, effectiveness, & business value Client-specific, pragmatic, iterative, adaptive, & phased approach based on proven successes in Data Governance, Data Quality, & Data Management segments Copyright 2015 Noah Consulting LLC. All Rights Reserved Page 24

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