- Global Data Excellence
- University of British Columbia
- Knowledge Integrity Inc.
- San Diego Zoo
- Beca Applied Technologies
- Braun Intertec
- Organizations are facing challenges from explosive data growth (volume, velocity) and the need to use more new sources of data like social media (variety) just to remain in business, putting a strain on enterprise data management.
- Although the need for a data governance program can be evident, business buy-in remains a real barrier. IT must create a comprehensive governance plan and socialize the value of data governance to gain buy-in.
- Data governance enables data-driven insight. Hearing the word governance can trigger thoughts of bureaucracy, but instead think of governance as a structure for making better use of data.
- Collaboration is critical. The business may own the data, but IT understands the data. Data governance will not work unless the business and IT work together.
- Data governance is an engine that needs fuel, and it powers the organization up the data value chain. Data governance is an engine that puts the pistons of policies and procedures, master data management, data quality, and data architecture into motion. Without data governance, these elements of data management would not be possible.
Impact and Result
- Gather requirements for your data governance program by interviewing key stakeholders and identifying prevalent, data-related pains. Understand how data is created, used, and curated throughout the enterprise to gain a high-level perspective of data requirements.
- Identify the organization’s current state of data governance capability along with the target state, identify the gaps, and then define solutions across a balance of planning and control activities to fill those gaps. Ensure business initiatives are woven into the mix.
- Create a comprehensive roadmap to prioritize initiatives and delineate responsibilities among data stewards, data owners, and members of the data governance steering committee.
- Gain complete buy-in from the business and IT stakeholders to move forward with the implementation of data governance. Effectively communicate initiatives to end users and executives to reduce resistance.
This guided implementation is an eight call advisory process.
Guided Implementation #1 - Build a collaborative data governance engine plan
Call #1 - Identify what data governance means to the organization.
Call #2 - Discuss the strategic plans of the business and establish a business context for data governance.
Call #3 - Determine data governance program strategies.
Guided Implementation #2 - Develop the data governance implementation roadmap
Call #1 - Discuss the results of the data governance requirements gathering assessment.
Call #2 - Plan initiatives for data governance.
Call #3 - Create a roadmap and discuss next steps.
Guided Implementation #3 - Drive the data governance program engine
Call #1 - Discuss and create the policies, procedures, roles, and responsibilities that will enable your organization to use its data for shared insight.
Call #2 - Develop a communication plan to maintain the governance program.
Book Your Workshop
Onsite workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn't enough, we offer low-cost onsite delivery of our project workshops. We take you through every phase of your project and ensure that you have a roadmap in place to complete your project successfully.
Module 1: Develop a Vision for the Data Governance Program
- Identify key business data assets that need to be governed.
- Create a unifying vision for the data governance program.
Key Benefits Achieved
- Understand the value of data governance and how it can help the organization better leverage its data.
- Gain knowledge of how data governance can benefit both IT and the business.
Establish business context and value of data governance to the organization
Assess the value, benefits, challenges, and opportunities associated with data governance
Develop the vision, purpose, and scope of data governance for the business
- Defined and holistic data governance vision
Identify data governance enablers
Interview business stakeholders
- IT and business leadership alignment
- Business leadership communication plan
- Data governance program charter
Module 2: Assess Data Flow in the Business
- Assess which data contains value and/or risk and determine metrics that will determine how valuable the data is to the organization.
- Assess where the organization currently stands in data governance initiatives.
- Determine gaps between the current and future states of the data governance program.
Key Benefits Achieved
- Gain a holistic understanding of organizational data and how it flows through business units and systems.
- Identify which data should fall under the governance umbrella.
- Determine a practical starting point for the program.
Evaluate the risks and value of critical data
Map and understand the flow of data within the business
- Data governance scope
Identify data sources and users
- Data flow diagram with identified key data sources and users
Assess current data governance capabilities
- Data governance maturity assessment
Set target data governance capabilities
- Business data glossary
Identify performance gaps
Module 3: Analyze Gaps and Develop Initiatives
- Determine strategic initiatives and create a roadmap outlining key steps required to get the organization to start enabling data-driven insights.
- Determine timing of the initiatives.
Key Benefits Achieved
- Establish clear direction for the data governance program.
- Step-by-step outline of how to create effective data governance, with true business-IT collaboration.
Evaluate performance gaps for remediation
Develop alignment of initiatives to strategies
Consolidate data governance initiatives and strategies
- Data policy templates
- Job descriptions and RACI
Develop a project timeline and define key success factors
- Data governance initiative plan and timeline
Module 4: Design Roadmap and Plan Implementation
- Consolidate the roadmap and other strategies to determine the plan of action from Day One.
- Create the required policies, procedures, and positions for data governance to be sustainable and effective.
Key Benefits Achieved
- Prioritized initiatives with dependencies mapped out.
- A clearly communicated plan for data governance that will have full business backing.
Develop a plan of action
- Data governance roadmap
- Action plan
Build a data governance roadmap (short and long term)
- Business case presentation
- Job descriptions