Usama ShammaDirector , AI and Decision Management| MastercardRiyadh, Riyadh, Saudi Arabia
Data Management Initiatives will help in managing the organization’s data and enable the organization to have a consolidated source of data for all business consumption, decision making or reporting. Through the implementation of;
o Enterprise Data Warehouse (EDW) o Business Intelligence (BI) o Analytical Engines o Data Mining o Data Governance (DG) o Data Ownership o Data Quality Management (DQM) o Metadata Management o Master Data Management (MDM) o Reference Data Management (RDM) o Big Data / Un-structured data o Enterprise Content Management (ECM) o Strategy and Policy
Tell me on your data and business challenges ? Tell me your case study on the Data Management initiatives? Where to start ? Best practices Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
All you listed above is including in one component: Data Wareshoue. All related data management becomes a new buzzword today. But it is outside there from 1990 and before. Data Warehouse inititatives is a whole architecture that is comprised for several layers where each layer has an objective. What you listed above is distributed inside the layers. To create a data warehouse demmands to define each layer and its component and define a project to create it.
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1 reply by Usama Shamma
Dec 22, 2016 8:15 AM
Usama Shamma
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Conceptually this may be correct all of those initiatives we can consider them under the broader term of Data Management instead of niche term of Data Warehousing. Physically each initiative has its own project nature and resources skill set from the human resources skills till the different software solutions, tools and infrastructure. A lot of big data warehouse solutions cannot accommodate to cover all of those initiatives and the big companies like Oracle, and Teradata propose different solutions and infrastructure for each.
Saving Changes...
Usama ShammaDirector , AI and Decision Management| MastercardRiyadh, Riyadh, Saudi Arabia
Dec 22, 2016 4:40 AM
Replying to Sergio Luis Conte
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All you listed above is including in one component: Data Wareshoue. All related data management becomes a new buzzword today. But it is outside there from 1990 and before. Data Warehouse inititatives is a whole architecture that is comprised for several layers where each layer has an objective. What you listed above is distributed inside the layers. To create a data warehouse demmands to define each layer and its component and define a project to create it.
Conceptually this may be correct all of those initiatives we can consider them under the broader term of Data Management instead of niche term of Data Warehousing. Physically each initiative has its own project nature and resources skill set from the human resources skills till the different software solutions, tools and infrastructure. A lot of big data warehouse solutions cannot accommodate to cover all of those initiatives and the big companies like Oracle, and Teradata propose different solutions and infrastructure for each.
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1 reply by Sergio Luis Conte
Dec 22, 2016 9:23 AM
Sergio Luis Conte
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That is the problem when valuable terms becomes into buzzwords. Data warehouse is not a niche term neither a technology term. Data warehose is outside there from times where no technology besides a common relational data base existed. That is because I encourge people about going to the basement. If not they will fail. It is not about what to implement first. Is about to understand that all of that is inside the same package and the organization has to start the initiative maintaining loss coupling and high cohesion between layers.
Saving Changes...
Usama ShammaDirector , AI and Decision Management| MastercardRiyadh, Riyadh, Saudi Arabia
Still the question is open for discussion, as an organization which you need to consider first in the implementation roadmap. to Data Management initiatives. Saving Changes...
Why? In order to support better business decision making, reporting & dashboards.
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1 reply by Usama Shamma
Dec 22, 2016 9:47 AM
Usama Shamma
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What if the data that BI depends on is incorrect, incomplete, duplicated in multiple sources... then decesions from BI will be misleading
Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
Dec 22, 2016 8:15 AM
Replying to Usama Shamma
...
Conceptually this may be correct all of those initiatives we can consider them under the broader term of Data Management instead of niche term of Data Warehousing. Physically each initiative has its own project nature and resources skill set from the human resources skills till the different software solutions, tools and infrastructure. A lot of big data warehouse solutions cannot accommodate to cover all of those initiatives and the big companies like Oracle, and Teradata propose different solutions and infrastructure for each.
That is the problem when valuable terms becomes into buzzwords. Data warehouse is not a niche term neither a technology term. Data warehose is outside there from times where no technology besides a common relational data base existed. That is because I encourge people about going to the basement. If not they will fail. It is not about what to implement first. Is about to understand that all of that is inside the same package and the organization has to start the initiative maintaining loss coupling and high cohesion between layers.
...
1 reply by Usama Shamma
Dec 22, 2016 9:53 AM
Usama Shamma
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I do not recommend this approach. Each Data Management initiative has its own characteristics and positioning in the IT landscape, and Enterprise Architecture.. Although some best practices mandates which should go first but by the end of the day it is the organizational needs and objectives that draw the necessary roadmaps to follow.
Saving Changes...
Usama ShammaDirector , AI and Decision Management| MastercardRiyadh, Riyadh, Saudi Arabia
Dec 22, 2016 8:48 AM
Replying to Anupam
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Business Intelligence (BI)
Why? In order to support better business decision making, reporting & dashboards.
What if the data that BI depends on is incorrect, incomplete, duplicated in multiple sources... then decesions from BI will be misleading
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1 reply by Anupam
Dec 22, 2016 10:07 AM
Anupam
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Yes. That's why in larger enterprise, different teams are responsible for different tasks.
Saving Changes...
Usama ShammaDirector , AI and Decision Management| MastercardRiyadh, Riyadh, Saudi Arabia
Dec 22, 2016 9:23 AM
Replying to Sergio Luis Conte
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That is the problem when valuable terms becomes into buzzwords. Data warehouse is not a niche term neither a technology term. Data warehose is outside there from times where no technology besides a common relational data base existed. That is because I encourge people about going to the basement. If not they will fail. It is not about what to implement first. Is about to understand that all of that is inside the same package and the organization has to start the initiative maintaining loss coupling and high cohesion between layers.
I do not recommend this approach. Each Data Management initiative has its own characteristics and positioning in the IT landscape, and Enterprise Architecture.. Although some best practices mandates which should go first but by the end of the day it is the organizational needs and objectives that draw the necessary roadmaps to follow.
...
1 reply by Sergio Luis Conte
Dec 22, 2016 10:22 AM
Sergio Luis Conte
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If you do not take an integrate approach you will fail in getting the objectives. But it is up to each organization. I worked in this type of environements from 1990 up to day.
What if the data that BI depends on is incorrect, incomplete, duplicated in multiple sources... then decesions from BI will be misleading
Yes. That's why in larger enterprise, different teams are responsible for different tasks. Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
Dec 22, 2016 9:53 AM
Replying to Usama Shamma
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I do not recommend this approach. Each Data Management initiative has its own characteristics and positioning in the IT landscape, and Enterprise Architecture.. Although some best practices mandates which should go first but by the end of the day it is the organizational needs and objectives that draw the necessary roadmaps to follow.
If you do not take an integrate approach you will fail in getting the objectives. But it is up to each organization. I worked in this type of environements from 1990 up to day. Saving Changes...
Stéphane ParentSelf Employed / Semi-retired| Leader MakerPrince Edward Island, Canada
As a former data administrator, I say data governance is the foundation to all data management activities.
I recommend "The IBM Data Governance Unified Proces" by Sunil Soares. Saving Changes...
