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[Virtual Presenter] Good morning everyone. We are very glad to have you here and look forward to exploring the importance of metadata different types and how to use it to benefit your business. Let's get started..

[Audio] Metadata is an essential component of any modern business. It provides the necessary context for data and helps to ensure that it is correctly understood and managed. In this slide we'll talk about the importance of metadata what it is the different types of metadata available and the key enablers benefits and governance associated with it. Metadata allows us to describe and define data to make it easier to understand. It can be used to identify data sources trace data lineage identify relationships between data and enhance data quality. The different types of metadata include data architecture data quality data security and privacy data storage data integration and interoperability master data management document and content management data warehouse business intelligence and analytics. An important aspect of metadata is the concept of a business glossary. This is a dictionary of business terms and their definitions that provide a common language and understanding of the data being used. A business glossary should be used to ensure accuracy and consistency in how the data is used. Finally the development of metadata requires a strong governance process. This enables the creation curation and sharing of metadata in a standardised way so that everyone in the organisation knows what data is available understands its purpose and can effectively use the data. In this slide we have discussed the importance of metadata and the key enablers benefits and governance associated with it..

WHAT IS METADATA. 3.

[Audio] Metadata is data that describes other data. An example of this is a table with customer data which can be organized using a metadata structure. This structure can be used to define the type of data in the table such as first and last name city phone number and date of birth. This structure can then be used to better understand use and manage data being stored through a metadata management system. This system enables organizations to agree on how to describe their information assets..

[Audio] Metadata is a useful element to gain comprehension of our data. It allows us to deepen the insight of our digital documents whether they be screenshots or Microsoft Word documents. Examining the properties of a file presents us with camera settings in the case of a screenshot and security details and other data in the case of a Word document. In Windows this data can be tailored to our demands granting us more authority over our documents. Grasping the potency of metadata can facilitate the most efficient use of our data..

[Audio] Metadata plays an essential role in making sure data is easily understandable and distinguishable from similar elements. It adds context to the data allowing it to be properly interpreted and employed. By effectively defining and classifying data users can quickly and conveniently access and interact with it. Metadata may comprise information like the creator of the data the date it was created the latest time it was changed and the objective of the data. This provides for rapid retrieval and the capacity to make effective decisions swiftly and accurately..

[Audio] Metadata enables teams to create an ecosystem of knowledge. A business glossary defines accepted terms and definitions and allows teams to share a common language. Data lineage shows change and impact over time. Structured data makes it easier to search share and collaborate. As the key enablers of metadata the organization will achieve greater transparency consistency trust and accuracy." Metadata is a powerful tool that helps teams to navigate the complexities of modern organizations. It serves as a bridge to connect different departments and roles providing crucial context and insight. A well-defined business glossary data lineage and data structures play a key role in this journey. They keep everyone on the same page facilitate collaboration and foster trust. Metadata governance is essential in order to ensure proper usage and control of the data. It will help organizations realize the full potential of their data and gain a competitive edge..

[Audio] Metadata refers to data that provides contextual information about other data. Descriptive metadata encompasses titles descriptions subject matter and authors. Administrative metadata includes creation dates release dates and access rights. Structural metadata shows the relationships between documents such as sections in a book. Technical metadata details the format size and other technical factors of a file. Metadata is a significant element that assists organizations and individuals in storing accessing retrieving and organizing their data effectively..

[Audio] Metadata is not only a technical description but also understanding the meaning and context for the business. Business metadata is a type of metadata to address this. It contains the names descriptions entities attributes data types ranges algorithms business rules valid domain values and more. Having this kind of metadata allows everyone to have a mutual understanding of the data and context. Examples of business metadata are data definitions business rules data quality assessments data stewardship information and the responsible organization..

[Audio] Metadata comes in several different types of which technical metadata is one. Technical metadata relates to technical aspects of data such as the systems it is stored on and the processes that move the data across and between systems. Examples of technical metadata include information on physical database tables and columns column properties database objects permissions to access the data rules for creating reading updating and deleting it as well as data models. This technical metadata provides structure and context to the data..

[Audio] Operational Metadata provides essential information regarding the management of data including usage details user identity and timing. Job execution logs extraction results audit and balance measurements and access patterns all contribute to understanding the lifecycle of the data and how it is being used. This type of metadata is necessary for safeguarding data security and ensuring the accuracy of the data. Additionally it is a useful resource for troubleshooting and verifying the accuracy of the data..

[Audio] Process Metadata is a valuable tool for any business as it defines and describes the characteristics of system elements like process business rules programs jobs tools and more. Examples of such metadata include data stores and data involved government and regulatory bodies organization owners and stakeholders process dependencies and decomposition process feedback loop documentation process name process order and timing process variations due to input or timing roles and responsibilities and value chain activities. This gives an overview of a business and its processes making it essential for understanding how a business functions..

[Audio] Data Stewardship Metadata is essential for any organization as it outlines the guidelines for data sharing designates who can access certain data and assigns the roles and obligations of the Data Stewards. This level of information provides the instruction needed to guarantee precise and high standard data throughout the organization. Examples of Data Stewardship Metadata include objectives and aims C-R-U-D rules data interpretations data holders data sharing regulations and contracts data stewards data stores and systems data topic areas data users government and regulatory entities and governance company structure and duties. For organizations to have a comprehensive understanding and consistent adherence to data stewardship metadata is fundamental..

[Audio] A business glossary is a valuable tool to have for any business. It facilitates standardization of language by ensuring that all key terms and definitions are understood by everyone in the company including customers clients stakeholders and partners. This ensures that the language used across the organization is consistent eliminating any potential confusion and misunderstandings. A business glossary allows the company to speak the same language helping to create a successful business..

[Audio] A business glossary is essential for organizations striving for data-driven decisions as it provides an organization-wide understanding of the different terms reference data assets and models data governance policies and classifications needed to create a common business vocabulary and ensure agreement and consistency between business content and technical data. This is the cornerstone for data centred informed decisions..

[Audio] A data dictionary is a powerful tool for organizations to effectively manage their data resources. It acts as a storage of information which allows teams to comprehend the structure of the data they are managing in addition to the associations between the components. With a data dictionary organizations are able to gain an improved insight into their data assets and implement improved management. This includes enforcing regulations in their data collection processes controlling access to the data and guaranteeing data quality. This contributes to making data more dependable and assists organizations in refining their data-driven operations..

[Audio] Organizations need data governance to ensure effective management of data assets. Data dictionaries and business glossaries are the two essential elements that provide an organized view of an organization's data both its physical attributes and business context. Data dictionaries are used to describe databases their tables fields and other physical attributes. On the other hand business glossaries offer another way to interpret the same data providing business terms definitions and context. By combining the two elements organizations have a comprehensive understanding of their data assets which makes it easier to manage and govern data in a way that is comprehensible..

[Audio] Data Catalog is a powerful tool to improve data management efficiency and accuracy. It facilitates the quick finding of necessary data and its suitability for the desired purpose. Data Catalog provides a complete list of the organization's available data sources where they can be located and the information needed to put them to use. This eliminates the time-consuming search for data allowing users to quickly access and understand it. Moreover it reduces the need for trial and error saving on user time effort and resources..

[Audio] Metadata plays an essential role in enabling companies to gain insights from the large amount of data at their disposal. Having the right data catalog features enable organizations to take advantage of powerful search engines for easy access indexing and searchability of information. Metadata can also be used to customize fields within datasets or categories. Data dictionaries store technical-level dataset attributes definitions and rules. Moreover workflows can be managed by a data catalog providing version control to guarantee accuracy of the data cataloged and stored. By selecting the right features in a data catalog organizations can tap into the potential of their data..

Data Lineage. 20.

[Audio] As businesses shift towards a data-driven approach tracking data at each part of its life cycle has become a necessity. Data lineage and impact analysis enable businesses to clearly see and trace the origin to destination of the data. Not only does it show the full data flow but it also gives an understanding of how the data has been altered and the quality associated with it. Data lineage and impact analysis are integral to businesses eliminating redundancies increasing trust and guaranteeing completeness of data. With these tools businesses are able to make smarter and more informed decisions..

[Audio] Data lineage is an integral component of any corporate data strategy offering a comprehensive look into all transformations and processes all data goes through within an organization. Knowing the origin and paths of the data helps guarantee it is being properly utilized and that the correct procedures and assessments are employed during its lifecycle. Such understanding can aid in making wiser decisions and save both cost and time in data-related activities..

[Audio] More and more businesses are taking advantage of Data Lineage to take advantage of its efficiency. With the origin story of the data at hand businesses can get a better perception of the data trace the data through different systems as well as regulate the quality control and obtain evidence of compliance. It not only helps identify the downstream effect of data changes measure performance recognize data transformation rules but also facilitates collaboration among IT and business users. In conclusion Data Lineage provides businesses more control and comprehension of the data they utilize thus they can rely on the fact that the data is trustworthy and up-to-date. This in turn allows them to access relevant data rapidly and precisely permitting them to make decisions with precision and in a timely manner..

[Audio] Metadata is the foundation for understanding managing and promoting the value of your data. By setting up key enablers you can enable benefits like improved data visibility accuracy and control. Governance policies and processes ensure the accuracy consistency and security of the data underlying your corporate policies. Understanding the value of metadata and implementing the right enablers benefits and governance to make the most of it will lead to increased efficiency peak business performance and competitive advantage for your organization..

[Audio] Metadata is one of the most important components of any successful data governance initiative. With the right metadata organizations can ensure that data is properly and consistently defined monitored secured and controlled. It allows us to create business glossaries identify data stewardship and ownership roles and establish data standards that help ensure data accuracy and compliance. It also enables the identification of security and privacy levels to help protect sensitive data. Investing in metadata is a crucial component for any successful data governance initiative..

[Audio] Metadata is a valuable asset in both business and technology. Without effective governance however it fails to reach its full potential. This is where Data Governance comes in. It ensures the data is accurate accessible and organised in a manner that meets the needs of the organisation. To make metadata management possible Data Governance involves creating roles policies procedures and organisational structures. Roles include Business Data Steward Data Architecture Steward Metadata Steward and Data Subject Owner and work together to create business and technical metadata. This can range from definitions and rules to conceptual and logical models with core business rules and definitions as well as naming standards and data lineage. Data Governance is a key tool for successful metadata management..

[Audio] Metadata management can give data users more assurance and insight into the data they are utilizing. It allows us to verify that the data is accurate fresh and of high quality. Through metadata we can spot data processes and information that are redundant and duplicate so that we can make better use of the data. In addition metadata can supply context to the data thus allowing us to make concrete analyses of potential projects and shorten the time from idea to implementation. With trustworthy and clear metadata businesses can take advantage of the many benefits it provides..

[Audio] Many organizations rely on metadata to manage their data assuring accuracy and integrity of information. It provides a powerful foundation for efficient Enterprise Data Management allowing us to understand the entire scope of our data from source to target as well as easily track business analytics business architecture business definitions and business rules. Furthermore it is key to formulating effective data governance standards and efficient data integration processes. Metadata is essential for unlocking the full potential of Enterprise Data Management..