This week we worked on our second group assignment. It was based on the future state architecture of one of the leading financial corporations which is still in the nascent stage of EA adoption. Based on our discussion, we decided on the topic of the move of the company to Big data and cloud platforms as the focus of the future state architecture and developed the relevant documents based on out of this.
I decided to work on the data stewardship requirements document. As I went deeper into knowing more about this topic, I realized how important it is for all organizations to manage their data efficiently. It is for this purpose, that data stewards are appointed. The definition of data stewardship as in TechTarget is that “Data stewardship is the management and oversight of an organization's data assets to help provide business users with high-quality data that is easily accessible in a consistent manner”. Data is considered as an asset to the organization which when analyzed can produce meaningful results leading to the overall growth and achievement of competitive edge in the industry. Also, with the adoption of of big data and cloud technologies, data is more distributed in nature. Hence, having a centralized control/rules over data use and distribution becomes vital for improving and maintaining the quality of data.
Data stewardship is about the accountability, responsibility and ownership of data. It does not deal much with the data protection aspect. It is very similar to the RACI matrix for data but rather provides more details on understanding how to deal with data for each application and line of business. To record all these details, every organization must have the data stewardship requirements document. This document mainly consists of the following:
1. Purpose
2. Authority
3. Definitions
4. Requirements of a System of Record
Organizations much think through these points and lay down strong policies and guidelines that need to be followed when dealing with data.
One of the Gartner articles states that, data stewards are critical components of an organization to improve and maintain data quality. Hence, it is very important to select the right individuals for this role. This role demands collaboration and clear understanding of the data flows before deciding on the data rules and regulations.
References:
Friedman, T. (2007, December 3). Best Practices for Data Stewardship (ID: G00153470). Retrieved from https://www.gartner.com/doc/554646/best-practices-data-stewardship
Fusco, D. (2016). Data Stewardship Requirements. Retrieved from https://psu.instructure.com/courses/1772174/pages/l04-future-state-architecture-implementation-level?module_item_id=20641314
Schlier, F. W. (2007, April 30). Toolkit: Bank XYZ Data Stewardship (ID: G00146507). Retrieved from Gartner database
TechTarget. (2013, June). Retrieved from data stewardship: http://searchdatamanagement.techtarget.com/definition/data-stewardship
I decided to work on the data stewardship requirements document. As I went deeper into knowing more about this topic, I realized how important it is for all organizations to manage their data efficiently. It is for this purpose, that data stewards are appointed. The definition of data stewardship as in TechTarget is that “Data stewardship is the management and oversight of an organization's data assets to help provide business users with high-quality data that is easily accessible in a consistent manner”. Data is considered as an asset to the organization which when analyzed can produce meaningful results leading to the overall growth and achievement of competitive edge in the industry. Also, with the adoption of of big data and cloud technologies, data is more distributed in nature. Hence, having a centralized control/rules over data use and distribution becomes vital for improving and maintaining the quality of data.
Data stewardship is about the accountability, responsibility and ownership of data. It does not deal much with the data protection aspect. It is very similar to the RACI matrix for data but rather provides more details on understanding how to deal with data for each application and line of business. To record all these details, every organization must have the data stewardship requirements document. This document mainly consists of the following:
1. Purpose
2. Authority
3. Definitions
4. Requirements of a System of Record
Organizations much think through these points and lay down strong policies and guidelines that need to be followed when dealing with data.
One of the Gartner articles states that, data stewards are critical components of an organization to improve and maintain data quality. Hence, it is very important to select the right individuals for this role. This role demands collaboration and clear understanding of the data flows before deciding on the data rules and regulations.
References:
Friedman, T. (2007, December 3). Best Practices for Data Stewardship (ID: G00153470). Retrieved from https://www.gartner.com/doc/554646/best-practices-data-stewardship
Fusco, D. (2016). Data Stewardship Requirements. Retrieved from https://psu.instructure.com/courses/1772174/pages/l04-future-state-architecture-implementation-level?module_item_id=20641314
Schlier, F. W. (2007, April 30). Toolkit: Bank XYZ Data Stewardship (ID: G00146507). Retrieved from Gartner database
TechTarget. (2013, June). Retrieved from data stewardship: http://searchdatamanagement.techtarget.com/definition/data-stewardship
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