5 Levels of Mindful Data Governance Initiative

Quick Overview of Mindful Data Governance:
In my previous blog I went over why I decided to create Mindful Data Governance and the meaning. Now I would like to go over the different levels of Mindful Data Governance as well as the first step. Within Mindful Data Governance the first thing a business would do is a self evaluation questionnaire to know exactly where the business is starting from, prior to the initiative kickoff meeting. This self evaluation will allow the business, as long as they answer the questions honestly to see what level (or state) their departments and/or business is in before implementing the Mindful Data Governance Initiative. Remember implementing Data Governance does not have to be a hinderance, a distraction or even time consuming. Lets get to the levels.

The Level of Mindful Data Governance Initiative:
So after much thought I came up with the five levels Unknowing, Acknowledge, Acceptance, Mindful and Enlightenment. I will go over each level in detail so you know exactly what each one means.

1 – Unknowing: There is no data governance, security, accountability or ownership in place. There is no informal standards that is known, what this means is that everyone in the business is doing their own thing. There are no business glossaries, no metadata management, no data models existing in the business. Information is fragmented and inconsistent throughout the business systems. Business Decisions are made with inadequate information or with no information at all. Your business does not treat its data as an asset and the business is undisciplined and very reactive. There is most likely duplicate and inconsistent data being stored.

2 – Acknowledge: The business starts to become mindful for the need to control the inconsistent information and do something about the poor data quality. The lack of data ownership and lack of executive support has become evident. The acknowledgement for the need for tools, processes, policies, and standards have been made. The business starts to understand the value of quality data that can be shared and used across the business. Your business recognizes that there is a cost to enter data into multiple systems. Employees are still being utilized to manage and move data. Business has also acknowledged that there is redundant data.

3 – Acceptance: The business understands the values of quality data that can be shared and used across the business. Data is starting to be shared across transactional systems and departments. Data governance polices and standards are be created but following them is almost nonexistence. The majority of the work that has been done within Data Governance is around the retention of data. Business has processes in place but some departments remain separate from others. Formal data management documentation is building. Vision and data strategies have been defined and implemented. Metrics and standards are transpiring around the use of the data

4 – Mindful: Data is being viewed by the business as a top asset. Data governance policies and standards are developed, circulated and well understood throughout the business. A governance body is in place to resolve cross-departmental data issues and they are identifying best practices that should be implemented through out the business. Roles and responsibilities are assigned, they are being followed and data quality, security, usability, and accessibility are increasing through out the business. A formal training for on-boarding new employees in place to ensure quality and standards are met day one.

5 – Enlightenment: The business recognizes that the data that is being collected give them a competitive advantage and it is used to create value and efficiencies through out the organization. Data Management and Data governance are seen as a daily part through out the business. Service level agreements are in place and are enforced. The business has achieved their goal in Data Management and Data Governance. Overall data management if fully aligned and in place and supports the business’ performance. All business’ processes are automated and repeatable. Data management Roles are well established. Monitoring off data is in place and metrics and audits are used to continuously improve data quality.

Below is the questionnaire that you can take to see where your business is at and where you can move up to. To get your score, simply sum up the values of your answers and divide that answer by 13 and you will have your average, take your average score and match it to the number next to one of the levels of the Mindful Data Governance Initiative above.

Mindful Data Governance Initiative Questionnaire

How does your business feel about your data as an asset?
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

How accessible is the data that is required to make decisions for your business?
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

How is your data quality (Example duplicate data, completeness of your data, etc.)?
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

How integrated is your data sources?
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

Is your data storage and security ample for your business?
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

Is there a data warehouse in place?
1 – Non-existent
2 – Some apps have their own database that is accessible
3 – Data is pushed manually into the warehouse
4 – Some of the apps are pushing data to the warehouse (automated)
5 – All data collection applications are pushing data to the data warehouse (automated)

Is each of your data transactional systems documented (Processes and procedural)?
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

Is your data accessible from within inside departments that collect the data?
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

Is the data that is collected in each department accessible to other departments?
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

Are there policies in place around who can use data, how they can use data, which parts can they use, and for what purposes?
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

Do you have security policies and considerations need to be in place for each of the data sources? (HIPPA, SOC are just examples)
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

What is the attitude from your C-Level or Leaders in the Organization around Data Governance?
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

Does your C-Level or Leaders make decision based on the data collected by the business?
1 – Non-existent
2 – Poor
3 – Fair
4 – Good
5 – Excellent

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