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Reference matter data management: Two categories of structured data : Master data: is data associated with core business entities such as customer, product, asset, etc. Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail. Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
Reference master data management
Reference master data management
Dr. Hamdan Al-Sabri
Master Data Management (MDM) can provide significant value to the organization in creating consistent key data assets such as Customer, Product, Supplier, Patient, and the list goes on. But getting MDM “right” requires a strategic mix of Data Architecture, business process, and Data Governance. Join this webinar to learn how to find the “sweet spot” between technology, design, process, and people for your MDM initiative.
Master Data Management - Aligning Data, Process, and Governance
Master Data Management - Aligning Data, Process, and Governance
DATAVERSITY
Database Architechs has designed a step-by-step Master Data Management methodology http://www.dbarchitechs.com/?page=wp
Master Data Management methodology
Master Data Management methodology
Database Architechs
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm
Gartner: Master Data Management Functionality
Gartner: Master Data Management Functionality
Gartner
Mdm: why, when, how
Mdm: why, when, how
Jean-Michel Franco
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
Master Data Management
Master Data Management
Sreekanth Narendran
This Presentaion runs you through all the key steps of an MDM initiative. It considers and showcase the key milestones and building blocks that you will have to roll-out to make your MDM journey -> Please contact Talend for a dedicated interactive sessions with a storyboard by customer domain
Overcoming the Challenges of your Master Data Management Journey
Overcoming the Challenges of your Master Data Management Journey
Jean-Michel Franco
In MDM (Master Data Management) area, there are evolution of maturity. This slide explain briefly characteristics of each level.
5 Level of MDM Maturity
5 Level of MDM Maturity
PanaEk Warawit
Recomendados
Reference matter data management: Two categories of structured data : Master data: is data associated with core business entities such as customer, product, asset, etc. Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail. Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
Reference master data management
Reference master data management
Dr. Hamdan Al-Sabri
Master Data Management (MDM) can provide significant value to the organization in creating consistent key data assets such as Customer, Product, Supplier, Patient, and the list goes on. But getting MDM “right” requires a strategic mix of Data Architecture, business process, and Data Governance. Join this webinar to learn how to find the “sweet spot” between technology, design, process, and people for your MDM initiative.
Master Data Management - Aligning Data, Process, and Governance
Master Data Management - Aligning Data, Process, and Governance
DATAVERSITY
Database Architechs has designed a step-by-step Master Data Management methodology http://www.dbarchitechs.com/?page=wp
Master Data Management methodology
Master Data Management methodology
Database Architechs
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm
Gartner: Master Data Management Functionality
Gartner: Master Data Management Functionality
Gartner
Mdm: why, when, how
Mdm: why, when, how
Jean-Michel Franco
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
Master Data Management
Master Data Management
Sreekanth Narendran
This Presentaion runs you through all the key steps of an MDM initiative. It considers and showcase the key milestones and building blocks that you will have to roll-out to make your MDM journey -> Please contact Talend for a dedicated interactive sessions with a storyboard by customer domain
Overcoming the Challenges of your Master Data Management Journey
Overcoming the Challenges of your Master Data Management Journey
Jean-Michel Franco
In MDM (Master Data Management) area, there are evolution of maturity. This slide explain briefly characteristics of each level.
5 Level of MDM Maturity
5 Level of MDM Maturity
PanaEk Warawit
An insightful guide to understand all about mastering data management.
Ebook - The Guide to Master Data Management
Ebook - The Guide to Master Data Management
Hazelknight Media & Entertainment Pvt Ltd
Despite its immaterial nature, data has a tendency to pile up as time goes on, and can quickly be rendered unusable or obsolete without careful maintenance and streamlining of processes for its management. This presentation will provide you with an understanding of reference and Master Data Management (MDM), one such method for keeping mass amounts of business data organized and functional towards achieving business goals. MDM’s guiding principles include the establishment and implementation of authoritative data sources and effective means of delivering data to various business processes, as well as increases to the quality of information used in organizational analytical functions (such as BI). To that end, attendees of this webinar will learn how to: Structure their Data Management processes around these principles Incorporate Data Quality engineering into the planning of reference and MDM Understand why MDM is so critical to their organization’s overall data strategy Discuss foundational MDM concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
The Importance of Master Data Management
The Importance of Master Data Management
DATAVERSITY
This presentation explains what MDM is, why it is important, and how to manage it, while identifying some of the key MDM patterns and best practices that are emerging. This presentation is a high-level treatment of the problem space. The presentation is summarizing the article of Microsoft in a simple way. https://msdn.microsoft.com/en-us/library/bb190163.aspx
The what, why, and how of master data management
The what, why, and how of master data management
Mohammad Yousri
MDM and Reference Data
MDM and Reference Data
Database Answers Ltd.
Overview of Master Data Management by focusing on the importance of data quality in an industry.
Whitepaper on Master Data Management
Whitepaper on Master Data Management
Jagruti Dwibedi ITIL
MDM Strategy & Roadmap
MDM Strategy & Roadmap
victorlbrown
TDWI Presentation explaining how Enterprise Data Governance can be utilized to support Business Strategy.
Data Governance
Data Governance
Rob Lux
TekMindz Master Data Management Capabilities
TekMindz Master Data Management Capabilities
Akshay Pandita
Enterprise Data Governance for Financial Institutions
Enterprise Data Governance for Financial Institutions
Sheldon McCarthy
Data catalogs, business glossaries, and data dictionaries house metadata that is important to your organization’s governance of data. People in your organization need to be engaged in leveraging the tools, understanding the data that is available, who is responsible for the data, and knowing how to get their hands on the data to perform their job function. The metadata will not govern itself. Join Bob Seiner for the webinar where he will discuss how glossaries, dictionaries, and catalogs can result in effective Data Governance. People must have confidence in the metadata associated with the data that you need them to trust. Therefore, the metadata in your data catalog, business glossary, and data dictionary must result in governed data. Learn how glossaries, dictionaries, and catalogs can result in Data Governance in this webinar. Bob will discuss the following subjects in this webinar: - Successful Data Governance relies on value from very important tools - What it means to govern your data catalog, business glossary, and data dictionary - Why governing the metadata in these tools is important - The roles necessary to govern these tools - Governance expected from metadata in catalogs, glossaries, and dictionaries
Glossaries, Dictionaries, and Catalogs Result in Data Governance
Glossaries, Dictionaries, and Catalogs Result in Data Governance
DATAVERSITY
Informatica Presents: 10 Best Practices for Successful MDM Implementations fr...
Informatica Presents: 10 Best Practices for Successful MDM Implementations fr...
DATAVERSITY
Introduction to Data Governance in relation to Business Intelligence!
Data Governance
Data Governance
SambaSoup
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Master Data Management – Aligning Data, Process, and Governance
Master Data Management – Aligning Data, Process, and Governance
DATAVERSITY
This presentation describes strategic business requirements of master data management (MDM) systems. The requirements were developed in a consortium research approach by the Institute of Information Management at the University of St. Gallen, Switzerland, and 20 multinational enterprises. The presentation was given at the 17th Amercias Conference on Information Systems (AMCIS 2011) in Detroit, MI. The research paper on which this presentation is based on can be found here: http://www.alexandria.unisg.ch/Publikationen/Zitation/Boris_Otto/177697
Strategic Business Requirements for Master Data Management Systems
Strategic Business Requirements for Master Data Management Systems
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Create a policy of your data elements using Data Governance PowerPoint Presentation Slides. With the help of this data warehouse management PPT template, you can measure and capture the effectiveness of stored information. You can monitor the third-party data providers' performance by using a data management PowerPoint complete deck. If you want to highlight the importance of analytical activities and reporting issues, then use these data architecture PPT slides. There are several problems that companies suffer while gathering the statistics, thus describe that point with the help of an information governance PowerPoint presentation deck. By using our professionally designed business semantics management PPT visuals, you can compare the data in manually as well as in automated form. The data management framework PPT contains exclusive diagrams and high-grade icons with which you can make your presentation even more engaging. This data integration PowerPoint presentation comprises of a total of twenty-five slides. Therefore, download this ready-to-use data collection system PPT template and envelope the liquidities and accountabilities. https://bit.ly/3ku95BZ
Data Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation Slides
SlideTeam
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
Master Your Data. Master Your Business
Master Your Data. Master Your Business
DLT Solutions
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start. Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take. In this webinar, Bob will share: - The value of performing a Data Governance best practice assessment - A practical list of industry Data Governance best practices - Criteria to determine if a practice is best practice - Steps to follow to complete an assessment - Typical recommendations and actions that result from an assessment
Data Governance Best Practices
Data Governance Best Practices
DATAVERSITY
3 Keys To Successful Master Data Management - Final Presentation
3 Keys To Successful Master Data Management - Final Presentation
James Chi
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data. Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts. Topics include: · Data management challenges and priorities · The modern data catalog – what it is and why it is important · The role of the modern data catalog in your data quality and governance programs · The kinds of information that should be in your data catalog and why
You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?
Precisely
Learn how to execute a data governance strategy through creation of a successful business case and operating model. Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit. Visit www.datumstrategy.com for more!
How to Build & Sustain a Data Governance Operating Model
How to Build & Sustain a Data Governance Operating Model
DATUM LLC
Rob Karel - Ensuring The Value Of Your Trusted Data - Data Quality Summit 2008
Rob Karel - Ensuring The Value Of Your Trusted Data - Data Quality Summit 2008
DataValueTalk
This presentation was created to provide some practical advise in aligning IT projects to business objectives for a firm.
Business Alignment
Business Alignment
Michael Galo
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An insightful guide to understand all about mastering data management.
Ebook - The Guide to Master Data Management
Ebook - The Guide to Master Data Management
Hazelknight Media & Entertainment Pvt Ltd
Despite its immaterial nature, data has a tendency to pile up as time goes on, and can quickly be rendered unusable or obsolete without careful maintenance and streamlining of processes for its management. This presentation will provide you with an understanding of reference and Master Data Management (MDM), one such method for keeping mass amounts of business data organized and functional towards achieving business goals. MDM’s guiding principles include the establishment and implementation of authoritative data sources and effective means of delivering data to various business processes, as well as increases to the quality of information used in organizational analytical functions (such as BI). To that end, attendees of this webinar will learn how to: Structure their Data Management processes around these principles Incorporate Data Quality engineering into the planning of reference and MDM Understand why MDM is so critical to their organization’s overall data strategy Discuss foundational MDM concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
The Importance of Master Data Management
The Importance of Master Data Management
DATAVERSITY
This presentation explains what MDM is, why it is important, and how to manage it, while identifying some of the key MDM patterns and best practices that are emerging. This presentation is a high-level treatment of the problem space. The presentation is summarizing the article of Microsoft in a simple way. https://msdn.microsoft.com/en-us/library/bb190163.aspx
The what, why, and how of master data management
The what, why, and how of master data management
Mohammad Yousri
MDM and Reference Data
MDM and Reference Data
Database Answers Ltd.
Overview of Master Data Management by focusing on the importance of data quality in an industry.
Whitepaper on Master Data Management
Whitepaper on Master Data Management
Jagruti Dwibedi ITIL
MDM Strategy & Roadmap
MDM Strategy & Roadmap
victorlbrown
TDWI Presentation explaining how Enterprise Data Governance can be utilized to support Business Strategy.
Data Governance
Data Governance
Rob Lux
TekMindz Master Data Management Capabilities
TekMindz Master Data Management Capabilities
Akshay Pandita
Enterprise Data Governance for Financial Institutions
Enterprise Data Governance for Financial Institutions
Sheldon McCarthy
Data catalogs, business glossaries, and data dictionaries house metadata that is important to your organization’s governance of data. People in your organization need to be engaged in leveraging the tools, understanding the data that is available, who is responsible for the data, and knowing how to get their hands on the data to perform their job function. The metadata will not govern itself. Join Bob Seiner for the webinar where he will discuss how glossaries, dictionaries, and catalogs can result in effective Data Governance. People must have confidence in the metadata associated with the data that you need them to trust. Therefore, the metadata in your data catalog, business glossary, and data dictionary must result in governed data. Learn how glossaries, dictionaries, and catalogs can result in Data Governance in this webinar. Bob will discuss the following subjects in this webinar: - Successful Data Governance relies on value from very important tools - What it means to govern your data catalog, business glossary, and data dictionary - Why governing the metadata in these tools is important - The roles necessary to govern these tools - Governance expected from metadata in catalogs, glossaries, and dictionaries
Glossaries, Dictionaries, and Catalogs Result in Data Governance
Glossaries, Dictionaries, and Catalogs Result in Data Governance
DATAVERSITY
Informatica Presents: 10 Best Practices for Successful MDM Implementations fr...
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DATAVERSITY
Introduction to Data Governance in relation to Business Intelligence!
Data Governance
Data Governance
SambaSoup
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Master Data Management – Aligning Data, Process, and Governance
Master Data Management – Aligning Data, Process, and Governance
DATAVERSITY
This presentation describes strategic business requirements of master data management (MDM) systems. The requirements were developed in a consortium research approach by the Institute of Information Management at the University of St. Gallen, Switzerland, and 20 multinational enterprises. The presentation was given at the 17th Amercias Conference on Information Systems (AMCIS 2011) in Detroit, MI. The research paper on which this presentation is based on can be found here: http://www.alexandria.unisg.ch/Publikationen/Zitation/Boris_Otto/177697
Strategic Business Requirements for Master Data Management Systems
Strategic Business Requirements for Master Data Management Systems
Boris Otto
Create a policy of your data elements using Data Governance PowerPoint Presentation Slides. With the help of this data warehouse management PPT template, you can measure and capture the effectiveness of stored information. You can monitor the third-party data providers' performance by using a data management PowerPoint complete deck. If you want to highlight the importance of analytical activities and reporting issues, then use these data architecture PPT slides. There are several problems that companies suffer while gathering the statistics, thus describe that point with the help of an information governance PowerPoint presentation deck. By using our professionally designed business semantics management PPT visuals, you can compare the data in manually as well as in automated form. The data management framework PPT contains exclusive diagrams and high-grade icons with which you can make your presentation even more engaging. This data integration PowerPoint presentation comprises of a total of twenty-five slides. Therefore, download this ready-to-use data collection system PPT template and envelope the liquidities and accountabilities. https://bit.ly/3ku95BZ
Data Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation Slides
SlideTeam
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
Master Your Data. Master Your Business
Master Your Data. Master Your Business
DLT Solutions
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start. Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take. In this webinar, Bob will share: - The value of performing a Data Governance best practice assessment - A practical list of industry Data Governance best practices - Criteria to determine if a practice is best practice - Steps to follow to complete an assessment - Typical recommendations and actions that result from an assessment
Data Governance Best Practices
Data Governance Best Practices
DATAVERSITY
3 Keys To Successful Master Data Management - Final Presentation
3 Keys To Successful Master Data Management - Final Presentation
James Chi
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data. Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts. Topics include: · Data management challenges and priorities · The modern data catalog – what it is and why it is important · The role of the modern data catalog in your data quality and governance programs · The kinds of information that should be in your data catalog and why
You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?
Precisely
Learn how to execute a data governance strategy through creation of a successful business case and operating model. Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit. Visit www.datumstrategy.com for more!
How to Build & Sustain a Data Governance Operating Model
How to Build & Sustain a Data Governance Operating Model
DATUM LLC
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(20)
Ebook - The Guide to Master Data Management
Ebook - The Guide to Master Data Management
The Importance of Master Data Management
The Importance of Master Data Management
The what, why, and how of master data management
The what, why, and how of master data management
MDM and Reference Data
MDM and Reference Data
Whitepaper on Master Data Management
Whitepaper on Master Data Management
MDM Strategy & Roadmap
MDM Strategy & Roadmap
Data Governance
Data Governance
TekMindz Master Data Management Capabilities
TekMindz Master Data Management Capabilities
Enterprise Data Governance for Financial Institutions
Enterprise Data Governance for Financial Institutions
Glossaries, Dictionaries, and Catalogs Result in Data Governance
Glossaries, Dictionaries, and Catalogs Result in Data Governance
Informatica Presents: 10 Best Practices for Successful MDM Implementations fr...
Informatica Presents: 10 Best Practices for Successful MDM Implementations fr...
Data Governance
Data Governance
Master Data Management – Aligning Data, Process, and Governance
Master Data Management – Aligning Data, Process, and Governance
Strategic Business Requirements for Master Data Management Systems
Strategic Business Requirements for Master Data Management Systems
Data Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation Slides
Master Your Data. Master Your Business
Master Your Data. Master Your Business
Data Governance Best Practices
Data Governance Best Practices
3 Keys To Successful Master Data Management - Final Presentation
3 Keys To Successful Master Data Management - Final Presentation
You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?
How to Build & Sustain a Data Governance Operating Model
How to Build & Sustain a Data Governance Operating Model
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Rob Karel - Ensuring The Value Of Your Trusted Data - Data Quality Summit 2008
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The article is intended as a quick overview of what effective master data management means in today’s business context in terms of risks, challenges and opportunities for companies and decision makers. The article is structured in two main areas, which cover in turn the importance of an effective master data management implementation and the methodology to get there.
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Effective master data management
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Bus2.0 - day 5 various topics
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This presentation describes how to be a proactive information security practitioner. Emphasis is on managing by measurement, and IT and Business Alignment.
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In this presentation, we'll help you better understand Master Data Management (MDM) and data governance, present some useful MDM and data governance best practices, talk about what works and what doesn’t, cover the importance of a holistic approach, and discuss how to get the political aspects right.
Best Practices in MDM, OAUG COLLABORATE 09
Best Practices in MDM, OAUG COLLABORATE 09
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Master Data Management (MDM) continues to play a foundational role in the Data Management Architecture of every 21st century enterprise. In a forward-looking organization, MDM is significant in the Enterprise Integration Hub.
Enterprise-Level Preparation for Master Data Management.pdf
Enterprise-Level Preparation for Master Data Management.pdf
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Mdm strategy
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A presentation on practical application of a portfolio based approach to IT investments and Enterprise Architecture.
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Si Eac San Diego Rapid Business Modeling V1.2 Generic (2)
Si Eac San Diego Rapid Business Modeling V1.2 Generic (2)
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For Educational Purposes.
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Performance Measurement
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Data Analytics is the process of extracting meaning from raw data using computer software. This process transforms organizes and models data to extract meaningful conclusions and identify patterns.
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This presentation contains our view on how data can be Strategically managed and stewarded in an organization, and the categories where rules can be applied to facilitate that process.
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SDM Presentation V1.0
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