Data Governance

Overview Background Data Governance Defined Data Governance Maturity Models & Assessments Data Governance Frameworks Next Steps Data Governance Basics to Consider Reading & Resources

Background: Zenith Zenith Provide strategy and implementation services in specialty information management disciplines where the client is exposed to significant implementation risk. Data Governance Data Quality Data Migration Data Warehousing & Business Intelligence Metadata Management Master Data Management

Background: Zenith Hudson

Background: Stuart Brown Certified Information Management Professional – Data Governance Data Governance specialist at Zenith Solutions Award winning data quality and data governance initiatives (ACT Health - IAIDQ APAC Data Quality Award, 2012) Consulted across industries including Private Health Insurance, Public Healthcare, Defence, and Government.

Data Governance: Defined “The coordination of people, processes, and technology in order to manage and optimise the use of data as a valued enterprise asset” “The exercise of authority, control, and shared decision-making (planning, monitoring, and enforcement) over the management of data assets.” DAMA Dictionary of Data Management, 2nd Edition

Data Governance: Defined Bridging business and IT for data related decisions and initiatives Largely driven by audit and compliance in the US financial sector Communication, change management, and soft skills are the core of good data governance Technology helps, but not essential (at lower maturity levels) Every organisation has some form of data governance!

Data Governance Maturity Assessment Open discussion with stakeholders at all levels One on one interviews, group workshops, consulting SMEs Pre-determined questions to be answered and maturity level determined Identify current state maturity and a desired state Ensure it is an educational process The success of your data governance initiative can be highly dependant on a Maturity Assessment! The biggest part of the process: CONSULTING

Data Governance Maturity Assessment Step 1 – Identify and prepare for interviews & workshops Step 2 – Conduct on-site workshop and interviews with key stakeholders in business & IT Step 3 – Conduct Maturity Assessment Step 4 – Assimilate findings, analyse and prioritise gaps & develop roadmap Step 5 – Present final Maturity Assessment & Roadmap to key stakeholders

Data Governance Maturity Assessment Maturity Model Framework Questions Maturity Assessment Report

Decide on a Maturity Model Is there something similar in use throughout your organisation? Can you leverage from a vendor? Are there other options that suit your needs?

Data Governance Maturity Models: CMM & CMMI

Data Governance Maturity Models: IBM

Data Governance Maturity Models: DataFlux

Data Governance Maturity Models: Kalido

Data Governance Framework: What is it? The rules of engagement with data management in your organisation Roles and Responsibilities, Decision Rights, Accountability, Data Governance Organisation and Stewardship program Requires a comprehensive maturity assessment Built to desired maturity level Must be digestible and suited for your organisation!

Data Governance Framework Gap Analysis Maturity Assessment Desired State Framework A Tailored Data Governance Framework

Data Governance Framework: The Burning Questions What is the scope of your program or initiative? What data will be governed? How will you approach Stewardship? What are your business drivers and benefits? How will you measure success or progress? Who is your Data Governance Organisation?

The Zenith Data Governance Framework Information & Data Governance Enablers 11 Components or Domains Sub-Components or Categories   People & Culture Policy, Procedures, Processes Data Training & Communication Core disciplines Data Quality Information Lifecycle Management Security, Compliance & Privacy    Supporting disciplines Architecture & Standards Metadata, Master Data Management Audit, Monitoring, Reporting Process Technology People & Process People, Process & Technology

The DMBOK Functional Framework 10 Components or Domains Environmental Elements

Data Governance Framework: Implementation Approaches Comprehensive Complete roll out, boiling the ocean, less rework Partial Focused on one capability, covers pain points, some rework if later it moves to a ‘comprehensive model’ Blended Focus on immediate needs and work towards strategic goals Some rework, less than partial

Next Steps: Data Governance Roadmap What will be the implementation approach? Where do you need to reach? What activities will get you there? What projects will be dependant on each other?

Data Governance Basics: Stewardship “The formal, specifically assigned, and entrusted accountability for business (non-technical) responsibilities ensuring effective control and use of information resources” DAMA Dictionary of Data Management, 2nd Edition

Data Governance Basics: Stewardship “A business leader and/or subject matter expert designed as accountable for: The identification of operational and Business Intelligence data requirements within an assigned subject area; The quality of data names, business definitions, data integrity rules and domain values within an assigned subject area; Compliance with regulatory requirements and conformance to internal data policies and data standards; Application of appropriate security controls; Analysing and improving data quality; and Identifying and resolving data related issues. Data Stewards are often categorised as executive data stewards, business data stewards, or coordinating data stewards” DAMA Dictionary of Data Management, 2nd Edition

Data Governance Basics: Stewardship Generally speaking, there are 4 types of Stewardship By Data Object or Domain (Customer, Employee, MDM); By Business Unit (HR, Finance, etc.); By Process (New Customer); or By Project/System. Generally speaking, there are 3 levels of Data Stewards Executive Data Steward (Business Owners or Data Owners) Coordinating Data Steward (Middle Management) Business Data Steward (SMEs)

Data Governance Basics: Stewardship You need to be… Leader Respected Communicator Change Agent Consensus Builder … and have Authority Organisational Skills

Data Governance Basics: Three Tiered Governance Data Governance Council Data Stewardship Committee Sub-Forum or Working Group Sub-Forum or Working Group Sub-Forum or Working Group Sub-Forum or Working Group

Data Governance Basics: Three Tiered Data Governance Data Governance Council “C” Level or Executive level (DAMA – Exec Stewards), Resourcing and Mandate Strategic level governance! Data Stewardship Committee Management/Middle-Management (DAMA – Coordinating Stewards) Integrate the work of Data Stewards, or Data Stewardship teams; Tactical level governance! Sub-Forums, Stewardship Teams, Competency Centre, Centres of Excellence. Working Groups SME-level DAMA – Business Stewards Focused on a framework component(s) or topical area(s) i.e. what type of Stewardship program is there? Operational level governance!

Summary You already have some form of data governance Maturity Assessments are a corner stone to building your data governance strategy and approach Form follows function and solution follows strategy Work for the greater good, cater to your organisations needs and pain points Find your champions and follow the path of least resistance

Recommended Reading The DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) (by DAMA International) IBM Data Governance Unified Process (by Sunil Soares) The Data Governance Imperative (by Steve Sarsfield) The Data Asset: How Smart Companies Govern Their Data for Business Success (by Tony Fisher) Selling Information Governance to the Business: Best Practices by Industry and Job Function (by Sunil Soares)

Quick Self-Assessment Resources Mike2.0 (http://mike2.opencommunity.org) IBM Info Gov Community (http://www.infogovcommunity.com) Kalido (http://www.kalido.com)

QUESTIONS? http://www.zenithsolutions.com.au Stuart.brown@zenithsolutions.com.au 0428202129