{"id":2961,"date":"2019-11-07T19:54:21","date_gmt":"2019-11-08T00:54:21","guid":{"rendered":"http:\/\/www.dcamportal.org\/?p=2961"},"modified":"2020-03-12T13:59:36","modified_gmt":"2020-03-12T17:59:36","slug":"data-management-accountability-matrix","status":"publish","type":"post","link":"https:\/\/staging.dcamportal.org\/fr_ca\/data-management-accountability-matrix\/","title":{"rendered":"Matrice de responsabilit\u00e9 de la gestion des donn\u00e9es"},"content":{"rendered":"

The Data Management Accountability Matrix is a construct<\/span> for identifying the stakeholder<\/span> types across the data ecosystem and the high-level roles and the relationships between the stakeholder<\/span> types.<\/p>\n\n\n\n

Construct<\/span> <\/strong>– a generic representation of a concept unencumbered by unique characteristics of an industry or organization. The construct<\/span> is used by an organization to inform the design of a customized model<\/span> for execution. The customization takes into account the size, complexity, geography, and culture of the organization.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

Business – Technology<\/h2>\n\n\n\n

The data ecosystem within an organization or even in an individual business domain<\/span> is a complex network of processes and stakeholders – Business and Technology.<\/p>\n\n\n\n

Stakeholder<\/span> <\/strong>– an individual or group<\/span> engaged in a data ecosystem that is vested in either the creation or consumption of the ecosystem data.<\/p>\n\n\n\n

It is useful to categorize the stakeholders at a high level as business and technology functions, however, there are important subgroups in each of those categories.<\/p>\n\n\n\n

The blue section of the diagram contains those business-oriented stakeholders focused on the Business Element<\/span>. Conversely, the orange section is those Technology-oriented stakeholders focused on the Data Element<\/span>. The pivotal bridge between the two foci is the data architecture function<\/span>.<\/p>\n\n\n\n

SME and Data Requirements<\/h2>\n\n\n\n

The first column of the diagram contains three types of business process<\/span> domain<\/span> stakeholders.<\/p>\n\n\n\n

Business Process<\/span> <\/strong>– every business process<\/span> domain<\/span> is a data producer<\/span>.<\/p>\n\n\n\n

Data Consumers <\/strong>– some business process<\/span> domains are also data consumers. They consume data from another business process<\/span> domain<\/span> as an input to their business process<\/span>. During the execution of their process<\/span>, the consumed data is used in the process<\/span> and may be transformed or used to derive new data.<\/p>\n\n\n\n

Data Analysis <\/strong>– a specific type of data consumer<\/span> for the data analysis processes. This can be simple data analytics and reporting, more formal business intelligence or highly sophisticated data science processes.<\/p>\n\n\n\n

All three types of business process<\/span> domains across the ecosystem impose What requirements on the business process<\/span> and data of the data producer<\/span>. These requirements must integrate into the dataset captured in the data producer<\/span>’s business processes.<\/p>\n\n\n\n

Technology Management<\/h2>\n\n\n\n

The third column of the diagram contains two technology process<\/span> stakeholders.<\/p>\n\n\n\n

Technology Architecture<\/span><\/strong> – responsible for how the requirements across the ecosystem are achieved by the technical environment structure and design.<\/p>\n\n\n\n

Application Technology<\/strong> – responsible for how the design, build and run activities of the technical environment meets the ecosystem requirements.<\/p>\n\n\n\n

Data Management<\/h2>\n\n\n\n

The center column of the diagram contains the drivers of the data management process<\/span>.<\/p>\n\n\n\n

Business Data Management <\/strong>– the business-aligned function<\/span> accountable for facilitation across the business stakeholders to define and govern the Business Element<\/span>.<\/p>\n\n\n\n

Technology Data Management<\/strong> – the technology-aligned function<\/span> accountable for facilitation across the technology stakeholders to achieve the Business Element<\/span> requirements through the technology environment.<\/p>\n\n\n\n

Data Architecture<\/span><\/strong> – the bridge between the Business Element<\/span> requirements and the Data Element<\/span> execution accountable to provide the framework to organize the data.<\/p>\n\n\n\n

\n\n\n\n

Revision History<\/h2>\n\n\n\n
Date<\/strong><\/td>Author<\/strong><\/td>Description<\/strong><\/td><\/tr>
October 2018<\/td>Mark McQueen<\/td>Initial Publication<\/td><\/tr>
March 2020<\/td>Mark McQueen<\/td>Knowledge Portal Release<\/td><\/tr><\/tbody><\/table>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

The Data Management Accountability Matrix is a construct for identifying the stakeholder types across the data ecosystem and the high-level roles and the relationships between the stakeholder types. Construct \u2013 a generic representation of a concept unencumbered by unique characteristics of an industry or organization. The construct is used by an organization to inform the […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"nf_dc_page":"","_lmt_disableupdate":"","_lmt_disable":"","advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false,"_links_to":"","_links_to_target":""},"categories":[324,344],"tags":[273,274,396],"class_list":["post-2961","post","type-post","status-publish","format-standard","hentry","category-1-0-data-management-strategy-business-case","category-knowledge-base-1-0-data-management-strategy-business-case","tag-raci","tag-accountability","tag-data-ownership"],"acf":[],"modified_by":"Mark McQueen","author_meta":{"display_name":"Knowledge Manager","author_link":"https:\/\/staging.dcamportal.org\/fr_ca\/author\/knowledge-manager\/"},"featured_img":null,"coauthors":[],"tax_additional":{"categories":{"linked":["1.0 Data Management Strategy & Business Case<\/a>","Articles<\/a>"],"unlinked":["1.0 Data Management Strategy & Business Case<\/span>","Articles<\/span>"]},"tags":{"linked":["RACI<\/a>","Accountability<\/a>","Data Ownership<\/a>"],"unlinked":["RACI<\/span>","Accountability<\/span>","Data Ownership<\/span>"]}},"comment_count":"0","relative_dates":{"created":"Posted 7 ann\u00e9es ago","modified":"Updated 7 ann\u00e9es ago"},"absolute_dates":{"created":"Posted on novembre 7, 2019","modified":"Updated on mars 12, 2020"},"absolute_dates_time":{"created":"Posted on novembre 7, 2019 ","modified":"Updated on mars 12, 2020 "},"featured_img_caption":"","series_order":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/pgScg5-LL","jetpack-related-posts":[{"id":3402,"url":"https:\/\/staging.dcamportal.org\/fr_ca\/dcam-framework-5-data-quality-management\/","url_meta":{"origin":2961,"position":0},"title":"Cadre DCAM \u2013 5.0 Gestion de la qualit\u00e9 des donn\u00e9es","author":"Knowledge Manager","date":"janvier 20, 2020","format":false,"excerpt":"The Data Quality Management function defines the goals, approaches and plans of action that ensure data content is of sufficient quality to support defined business and strategic objectives of the organization.","rel":"","context":"In "DCAM Framework Category"","block_context":{"text":"DCAM Framework Category","link":"https:\/\/staging.dcamportal.org\/fr_ca\/category\/dcam-framework\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":3406,"url":"https:\/\/staging.dcamportal.org\/fr_ca\/dcam-framework-6-data-governance\/","url_meta":{"origin":2961,"position":1},"title":"Cadre DCAM \u2013 6.0 Gouvernance des donn\u00e9es","author":"Knowledge Manager","date":"janvier 20, 2020","format":false,"excerpt":"Data governance function is the backbone of a successful data management (DM) initiative. 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