check

Data Governance Assessment

This is very much the How? when it comes to data.  How do I make sure that I am controlling what I am responsible for is taken care of.  

Being honest is essential to make sure that you are not opening yourself up to unnecessary risk, but also that you are controlling your asset in order to leverage it to its maximum potential.

Start

Question 1 of 10

Q1. Is there a centralised data governance body or committee?

 

 

 

Why it's important: A central governance body provides oversight and ensures consistent data management practices across the organisation.

 

Potential outcomes of success: Improved data consistency, better adherence to data policies, and clearer decision-making around data.

A

Yes, we have a dedicated group

B

Not really a central body, a few people take on this task

C

Not sure

Question 2 of 10

Q2. Are clear data ownership and accountability defined for all data assets?

 

 

 

Why it's important: Clearly defined ownership ensures that someone is responsible for the quality, security, and maintenance of each data asset.

 

Potential outcomes of success: Enhanced data quality, easier issue resolution, and better management of data assets.

 

A

Yes, we know who is responsible for what

B

There's no clear ownership, some people do data stuff

C

Don't know

Question 3 of 10

Q3. Is there a data glossary or metadata repository to document data definitions and standards?

 

 

 

Why it's important: A data glossary helps everyone understand data consistently, while a metadata repository provides context and lineage for data assets.

 

Potential outcomes of success: Improved data understanding, easier data discovery, and better data integration.

 

A

Yes, we have a "data dictionary"

B

Not really, a few people know about their data

C

Metawhat? Don't know what that is

Question 4 of 10

Q4. Are data quality standards and metrics defined and monitored?

 

 

 

 

Why it's important: Defined and monitored data quality standards ensure that data is fit for its intended purpose.

 

Potential outcomes of success: More reliable reporting and analytics, increased trust in data, and reduced errors from poor data quality.

A

Yes, we track how good our data is

B

Quality is generally poor, we try to keep things clean

C

No idea

Question 5 of 10

Q5. Are data processes and workflows documented and standardised?

 

 

 

 

Why it's important: Documented and standardised processes lead to more consistent and efficient data handling.

 

Potential outcomes of success: Reduced errors in data processing, easier knowledge sharing, and improved efficiency.

A

Yes, we have clear processes

B

Process documentation is a bit ad hoc

C

Don't know

Question 6 of 10

Q6. Are data integration and ETL (Extract, Transform, Load) processes well-defined and managed?

 

 

 

 

Why it's important: Well-defined integration processes ensure that data flows smoothly between systems, enabling a unified view.

 

Potential outcomes of success: Better data accessibility, improved reporting capabilities, and a more holistic understanding of the business.

A

Yes, we have a good handle on it

B

Where we get our data and how is not well managed

C

Not sure

Question 7 of 10

Q7. Is there a data catalog or inventory to manage and discover data assets?

 

 

 

 

Why it's important: A data catalog helps users find and understand available data assets, promoting data sharing and reuse.

 

Potential outcomes of success: Increased data discoverability, reduced redundant data, and better utilization of data assets.

A

Yes, we know where to find our data

B

Some people know where things are

C

No idea

Question 8 of 10

Q8. Are data security and privacy policies and procedures in place?

 

 

 

 

 

 

 

Why it's important: Robust security and privacy measures protect sensitive data and maintain compliance.

 

Potential outcomes of success: Reduced risk of data breaches, enhanced customer trust, and compliance with regulations.

A

Yes, we have security measures in place

B

We address some of it, but not sure about formal policies

C

No idea

Question 9 of 10

Q9. Are data backups and disaster recovery plans in place?

A

Yes, we have plans to recover data in the event of an issue

B

We do some back up but not everything

C

No idea

Question 10 of 10

Q10. Are data access controls and permissions managed effectively?

 

 

 

 

 

Why it's important: Effective access controls ensure that only authorised individuals can access specific data, maintaining security and privacy.

 

Potential outcomes of success: Enhanced data security, improved compliance, and better control over sensitive information.

A

Yes, we control who sees what

B

Access can be a bit open

C

No clue

Confirm and Submit