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erwin positioned as a Leader in Gartner’s “2019 Magic Quadrant for Metadata Management Solutions”. We were excited to announce earlier today that erwin was named as a Leader in the @Gartner _inc “2019 Magic Quadrant for Metadata Management Solutions.”. The report, by the world’s leading research and advisory company, provides a detailed overview of the metadata management market, including evaluations of 18 vendors based on completeness of vision and ability to execute. MORE
Data Governance Starts With Metadata Management. Like all data governance, healthcare data governance requires tight management and control of metadata —the information about every database, table, column, data warehouse cube, and report element for which the organization is responsible. In addition, healthcare BI staff, compliance staff, and IT departments all need solid healthcare metadata management in order to do their jobs effectively. MORE
GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management. For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. The data includes articles and metadata represented as creative works and annotations between the creative works and DBPedia entities with a complex graph structure also known as reference data. MORE
The post Gartner Names Alation a Leader in Metadata Management appeared first on Alation. Partner News Alation data catalog Gartner gartner magic quadrant metadata management MORE
About 540 million years ago most of the animal body plans we see today suddenly appeared in a “relatively brief” period of about 20 million years or so. This was the “Cambrian Explosion.” A good number of strange forms that subsequently went extinct were also part of this strange episode. MORE
Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. By implementing metadata-driven automation, organizations across industry can unleash the talents of their highly skilled, well paid data pros to focus on finding the goods: actionable insights that will fuel the business. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry. MORE
As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. Metadata is everywhere and its success depends on deploying the right resources for its management. Regulations such as GDPR , CCPA , BCBS 239, New York Data Security Act and others are expanding enterprise needs for metadata lineage management and automated metadata management systems. Metadata Management Automation MORE
To help you prepare for 2020, we’ve compiled some of the most popular data governance and metadata management blog posts from the erwin Experts from this year. The Best Data Governance and Metadata Management Blog Posts of 2019. Four Use Cases Proving the Benefits of Metadata-Driven Automation. The post Top 7 Data Governance and Metadata Management Blog Posts of 2019 appeared first on erwin, Inc. erwin Expert Blog data governance metadata management MORE
As I write this, I can almost hear you wail “No, no, we don’t have too much metadata, we don’t have nearly enough! We have several projects in flight to expand our use of metadata.” Sorry, I’m going to have to disagree with you there. You are on a fool’s errand that will just provide […]. MORE
Solutions that manage datasets rely on metadata describing those sources, and typically focus on the bare minima of enterprise data governance and stewardship , which limits the available metadata (the data about data) to describing dataset physical features (size, number of records, datatype, etc.), Below is an example of how metadata may be portrayed in a catalog view, and how metadata enrichment can add to the view’s usability. MORE
Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Strategy Columns Data Strategy News, Articles, & Education Data Topics Metadata Management Columns Metadata Management News, Articles, & Education data governance fryman glossary Metadata MORE
When that happens, tens of thousands of people are put at risk for identity theft when their metadata is stolen. What is metadata and how is it used? What Metadata Contains. Metadata is basically a trail of data that is spread out across a network. Metadata typically contains the person’s name, address, phone number, credit card number, email address and even personal or business bank account numbers. Why a Cyber-Criminal Steals Metadata. MORE
Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata? Giving Metadata Meaning. MORE
Insurance Metadata Management. The keys to proper insurance data managemen t are data governance and metadata management. Data Governance and Metadata Management for the Insurance Industry. Both of these two keys deal with metadata. None of this is possible without robust metadata management. In insurance, as in most other industries, metadata management is the process of discovering and cataloging the metadata for all data sources and assets. MORE
Metadata Governance is easiest to understand when you separate the term into its two parts – Metadata and Data Governance. Ask any organization that excels in metadata management (or provides thorough documentation of their data, information, and records) whether or not they govern their metadata and they will surely respond affirmatively. MORE
Metadata is at the heart of every report, dashboard, data warehouse, visualization, and anything else the BI team produces. Without an understanding of the organization’s metadata, the BI team can’t match the data from multiple sources to produce a single view of the business. This means that much of what the BI team does involves searching for and cataloging metadata. The typical BI team spends more than half its time manually tracking down metadata and errors. MORE
In October 2020, the Office of the Comptroller of the Currency (OCC) announced a $400 million civil monetary penalty against Citibank for deficiencies in enterprise-wide risk management, compliance risk management, data governance, and internal controls. MORE
Business Intelligence Articles Business Intelligence News, Articles, & Education Data Articles Data Education Data Governance Articles Data Governance News, Articles, & Education Data Management Articles Data Management News, Articles, & Education Data Topics Metadata Management Articles Metadata Management News, Articles, & Education Metadata metadata governance metadata management shea MORE
Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Quality Columns Data Quality News, Articles, & Education Data Topics Master Data Management Columns Master Data Management News, Articles, & Education Metadata Management Columns Metadata Management News, Articles, & Education business intelligence data catalogs data integration fryman MORE
These processes often rely on humans performing manual discovery and documentation tasks for: – Metadata management – ETL specifications – Report definitions – Reporting errors – Changes to calculations …and many other aspects of the data environment. That something has to do with metadata management. Here’s the bad news: “metadata management” means different things to different organizations. (In Metadata Management Automation. MORE
For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. The data includes articles and metadata represented as creative works and annotations between the creative works and DBPedia entities with a complex graph structure also known as reference data. Choose The Best RDF Database for Metadata Management. MORE
Organizations are turning to the cloud and automated metadata management tools to successfully manage their business’s data. Hear real use cases of BI teams who are leveraging metadata management automation on the cloud while working remotely Check out our webinar "BI During COVID-19." MORE
And this time, you guessed it – we’re focusing on data automation and how it could impact metadata management and data governance. The post Metadata Management, Data Governance and Automation appeared first on erwin, Inc. Can the 80/20 Rule Be Reversed? erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. MORE
The importance of metadata. Metadata is best defined as data that characterizes data. Metadata provides the who, what, where, when, why and how of that information. When companies have a properly engineered process to create, store and manage metadata, it benefits all focus areas of the business. Metadata enriches whatever it is associated with and allows the business to gain insights that otherwise might have been missed. So how does metadata fit in? MORE
Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated. MORE
If data is a train, then metadata is the track on which it travels. A good metadata definition in ETL processes will help to ensure that the flow of the data is predictable, robust, and is properly constrained to avoid errors. MORE
Cataloging items has been a process used since the early 1900s to manage large inventories, whether it be books or antics. In this age, data management has become a necessary routine. MORE
Metadata management, lately, has emerged as one of the most important practices in organizations. The underlying reason being the increased usage of big data and cloud platforms, and the tendency of information to get scattered in the absence of efficient metadata management. This has necessitated the need for organizations to adopt the best in metadata management practices in order to manage the information assets within the. MORE
We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. The Gartner Peer Insights Customers’ Choice is a recognition of vendors in the metadata management solutions market by verified end-user professionals, taking into account both the number of reviews and the overall user ratings. Metadata management is key to sustainable data governance and any other organizational effort that is data-driven. MORE
While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. Metadata Is the Heart of Data Intelligence. Harvesting data – Automate the collection of metadata from various data management silos and consolidate it into a single source. MORE
Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. What is metadata management? MORE
When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order. Therefore, most enterprises have encountered difficulty trying to master data governance and metadata management, but they need a solid data infrastructure on which to build their applications and initiatives. Metadata Management Takes Time. MORE
Business Intelligence Columns Business Intelligence News, Articles, & Education Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Strategy Columns Data Strategy News, Articles, & Education Data Topics Metadata Management Columns Metadata Management News, Articles, & Education business glossaries data dictionaries data governance data stewardship fryman MORE
A recent report on data culture released by Alation shows that enterprises continue to make progress toward creating a data culture even while the pandemic has forced them to make tough decisions. Nearly all respondents report having lost personnel due to economic concerns. But things are looking up. MORE
Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata? Giving Metadata Meaning. MORE
Like any good puzzle, metadata management comes with a lot of complex variables. That’s why you need to use data dictionary tools, which can help organize your metadata into an archive that can be navigated with ease and from which you can derive good information to power informed decision-making. A data dictionary is a tool that organizes and describes different variables indicated by metadata associated with a dataset. MORE
Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Metadata in data governance. What many enterprises have not yet come to terms with when implementing their data governance strategy and supporting tools, is the criticality of metadata in the process. Metadata is essentially the ‘data about data.’ Without metadata, the organization is at risk of making decisions based on the wrong data.”. MORE
erwin has once again been positioned as a Leader in the Gartner “2020 Magic Quadrant for Metadata Management Solutions.”. The post erwin Positioned as a Leader in Gartner’s 2020 Magic Quadrant for Metadata Management Solutions for Second Year in a Row appeared first on erwin, Inc. MORE
Several years ago, I wrote an article called the Data Governance Bill of “Rights.” I also speak often about my Bill of “Rights” in many of my webinars and presentations. Please notice that I put the word “rights” in quotations. MORE
The post Gartner Names Alation a Leader in Metadata Management appeared first on Alation. Company News Alation data catalog Gartner gartner magic quadrant metadata management MORE
In this post, I’d like to further detail situations where using Tamr on metadata can: Enrich metadata for actionable analytics. Metadata Enrichment. The previous post’s example of applying Tamr on an organization’s metadata is to enrich the metadata of data catalog views with attributes that can increase searchability within a catalog. Tamr’s approach to classifying metadata can help organize and maintain large volumes of datasets quickly. MORE
Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Metadata started including descriptions and source information. MORE
Spelling, pronunciation, and examples of usage are included in the dictionary definition of a word, which is a good example of one of the many uses of metadata, namely to provide a definition, description, and context for data. Pictured to the left is the dictionary that has been on my desk for over 15 years, which is a good metaphor for the challenges of metadata management. In practice, I haven’t encountered a metadata dictionary that could deliver on that promise. MORE
Machine learning also plays a role in automated enterprise metadata management. How Does Machine Learning Improve Metadata Management Automation? Automated metadata management tools and machine learning are deeply connected. BI Modernization Metadata Management Automation MORE
Metadata Related Topics Tim Mitchell
DECEMBER 15, 2020
If data is a train, then metadata is the track on which it travels. A good metadata definition in ETL processes will help to ensure that the flow of the data is predictable, robust, and is properly constrained to avoid errors.
The Data Administration Newsletter
JANUARY 5, 2021
Cataloging items has been a process used since the early 1900s to manage large inventories, whether it be books or antics. In this age, data management has become a necessary routine.
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The Data Administration Newsletter
DECEMBER 1, 2020
Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated.
erwin
OCTOBER 24, 2019
While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. Metadata Is the Heart of Data Intelligence. Harvesting data – Automate the collection of metadata from various data management silos and consolidate it into a single source.
TDAN
MARCH 19, 2019
Metadata Governance is easiest to understand when you separate the term into its two parts – Metadata and Data Governance. Ask any organization that excels in metadata management (or provides thorough documentation of their data, information, and records) whether or not they govern their metadata and they will surely respond affirmatively.
Alation
NOVEMBER 19, 2020
The post Gartner Names Alation a Leader in Metadata Management appeared first on Alation. Partner News Alation data catalog Gartner gartner magic quadrant metadata management
Alation
NOVEMBER 19, 2020
The post Gartner Names Alation a Leader in Metadata Management appeared first on Alation. Company News Alation data catalog Gartner gartner magic quadrant metadata management
Octopai
SEPTEMBER 14, 2020
Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. What is metadata management?
erwin
DECEMBER 12, 2019
Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata? Giving Metadata Meaning.
DataFloq
JULY 2, 2019
Metadata management, lately, has emerged as one of the most important practices in organizations. The underlying reason being the increased usage of big data and cloud platforms, and the tendency of information to get scattered in the absence of efficient metadata management. This has necessitated the need for organizations to adopt the best in metadata management practices in order to manage the information assets within the.
erwin
NOVEMBER 6, 2019
And this time, you guessed it – we’re focusing on data automation and how it could impact metadata management and data governance. The post Metadata Management, Data Governance and Automation appeared first on erwin, Inc. Can the 80/20 Rule Be Reversed? erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect.
Ontotext
AUGUST 19, 2020
Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Metadata started including descriptions and source information.
TDAN
SEPTEMBER 17, 2019
Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Strategy Columns Data Strategy News, Articles, & Education Data Topics Metadata Management Columns Metadata Management News, Articles, & Education data governance fryman glossary Metadata
Tamr
JANUARY 16, 2020
Solutions that manage datasets rely on metadata describing those sources, and typically focus on the bare minima of enterprise data governance and stewardship , which limits the available metadata (the data about data) to describing dataset physical features (size, number of records, datatype, etc.), Below is an example of how metadata may be portrayed in a catalog view, and how metadata enrichment can add to the view’s usability.
erwin
DECEMBER 12, 2019
Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata? Giving Metadata Meaning.
Octopai
SEPTEMBER 6, 2020
Machine learning also plays a role in automated enterprise metadata management. How Does Machine Learning Improve Metadata Management Automation? Automated metadata management tools and machine learning are deeply connected. BI Modernization Metadata Management Automation
erwin
NOVEMBER 19, 2020
erwin has once again been positioned as a Leader in the Gartner “2020 Magic Quadrant for Metadata Management Solutions.”. The post erwin Positioned as a Leader in Gartner’s 2020 Magic Quadrant for Metadata Management Solutions for Second Year in a Row appeared first on erwin, Inc.
erwin
FEBRUARY 7, 2019
Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. By implementing metadata-driven automation, organizations across industry can unleash the talents of their highly skilled, well paid data pros to focus on finding the goods: actionable insights that will fuel the business. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry.
Octopai
DECEMBER 22, 2019
As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. Metadata is everywhere and its success depends on deploying the right resources for its management. Regulations such as GDPR , CCPA , BCBS 239, New York Data Security Act and others are expanding enterprise needs for metadata lineage management and automated metadata management systems. Metadata Management Automation
TDAN
SEPTEMBER 3, 2019
As I write this, I can almost hear you wail “No, no, we don’t have too much metadata, we don’t have nearly enough! We have several projects in flight to expand our use of metadata.” Sorry, I’m going to have to disagree with you there. You are on a fool’s errand that will just provide […].
Sirius Computer Solutions
OCTOBER 16, 2019
The importance of metadata. Metadata is best defined as data that characterizes data. Metadata provides the who, what, where, when, why and how of that information. When companies have a properly engineered process to create, store and manage metadata, it benefits all focus areas of the business. Metadata enriches whatever it is associated with and allows the business to gain insights that otherwise might have been missed. So how does metadata fit in?
Tamr
FEBRUARY 11, 2020
In this post, I’d like to further detail situations where using Tamr on metadata can: Enrich metadata for actionable analytics. Metadata Enrichment. The previous post’s example of applying Tamr on an organization’s metadata is to enrich the metadata of data catalog views with attributes that can increase searchability within a catalog. Tamr’s approach to classifying metadata can help organize and maintain large volumes of datasets quickly.
erwin
FEBRUARY 13, 2020
When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order. Therefore, most enterprises have encountered difficulty trying to master data governance and metadata management, but they need a solid data infrastructure on which to build their applications and initiatives. Metadata Management Takes Time.
TDAN
JUNE 18, 2019
Business Intelligence Columns Business Intelligence News, Articles, & Education Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Strategy Columns Data Strategy News, Articles, & Education Data Topics Metadata Management Columns Metadata Management News, Articles, & Education business glossaries data dictionaries data governance data stewardship fryman
Smart Data Collective
APRIL 10, 2019
When that happens, tens of thousands of people are put at risk for identity theft when their metadata is stolen. What is metadata and how is it used? What Metadata Contains. Metadata is basically a trail of data that is spread out across a network. Metadata typically contains the person’s name, address, phone number, credit card number, email address and even personal or business bank account numbers. Why a Cyber-Criminal Steals Metadata.
erwin
OCTOBER 18, 2019
erwin positioned as a Leader in Gartner’s “2019 Magic Quadrant for Metadata Management Solutions”. We were excited to announce earlier today that erwin was named as a Leader in the @Gartner _inc “2019 Magic Quadrant for Metadata Management Solutions.”. The report, by the world’s leading research and advisory company, provides a detailed overview of the metadata management market, including evaluations of 18 vendors based on completeness of vision and ability to execute.
Octopai
JUNE 26, 2020
Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Metadata in data governance. What many enterprises have not yet come to terms with when implementing their data governance strategy and supporting tools, is the criticality of metadata in the process. Metadata is essentially the ‘data about data.’ Without metadata, the organization is at risk of making decisions based on the wrong data.”.
Octopai
OCTOBER 12, 2020
Organizations are turning to the cloud and automated metadata management tools to successfully manage their business’s data. Hear real use cases of BI teams who are leveraging metadata management automation on the cloud while working remotely Check out our webinar "BI During COVID-19."
Octopai
SEPTEMBER 22, 2019
Insurance Metadata Management. The keys to proper insurance data managemen t are data governance and metadata management. Data Governance and Metadata Management for the Insurance Industry. Both of these two keys deal with metadata. None of this is possible without robust metadata management. In insurance, as in most other industries, metadata management is the process of discovering and cataloging the metadata for all data sources and assets.
erwin
APRIL 16, 2020
We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. The Gartner Peer Insights Customers’ Choice is a recognition of vendors in the metadata management solutions market by verified end-user professionals, taking into account both the number of reviews and the overall user ratings. Metadata management is key to sustainable data governance and any other organizational effort that is data-driven.
erwin
DECEMBER 19, 2019
To help you prepare for 2020, we’ve compiled some of the most popular data governance and metadata management blog posts from the erwin Experts from this year. The Best Data Governance and Metadata Management Blog Posts of 2019. Four Use Cases Proving the Benefits of Metadata-Driven Automation. The post Top 7 Data Governance and Metadata Management Blog Posts of 2019 appeared first on erwin, Inc. erwin Expert Blog data governance metadata management
TDAN
DECEMBER 17, 2019
Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Quality Columns Data Quality News, Articles, & Education Data Topics Master Data Management Columns Master Data Management News, Articles, & Education Metadata Management Columns Metadata Management News, Articles, & Education business intelligence data catalogs data integration fryman
Ontotext
JUNE 27, 2019
GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management. For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. The data includes articles and metadata represented as creative works and annotations between the creative works and DBPedia entities with a complex graph structure also known as reference data.
Ontotext
JUNE 27, 2019
For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. The data includes articles and metadata represented as creative works and annotations between the creative works and DBPedia entities with a complex graph structure also known as reference data. Choose The Best RDF Database for Metadata Management.
Octopai
FEBRUARY 12, 2020
Like any good puzzle, metadata management comes with a lot of complex variables. That’s why you need to use data dictionary tools, which can help organize your metadata into an archive that can be navigated with ease and from which you can derive good information to power informed decision-making. A data dictionary is a tool that organizes and describes different variables indicated by metadata associated with a dataset.
Octopai
JULY 18, 2019
Data Governance Starts With Metadata Management. Like all data governance, healthcare data governance requires tight management and control of metadata —the information about every database, table, column, data warehouse cube, and report element for which the organization is responsible. In addition, healthcare BI staff, compliance staff, and IT departments all need solid healthcare metadata management in order to do their jobs effectively.
The Data Administration Newsletter
JANUARY 19, 2021
About 540 million years ago most of the animal body plans we see today suddenly appeared in a “relatively brief” period of about 20 million years or so. This was the “Cambrian Explosion.” A good number of strange forms that subsequently went extinct were also part of this strange episode.
Octopai
APRIL 8, 2019
Metadata is at the heart of every report, dashboard, data warehouse, visualization, and anything else the BI team produces. Without an understanding of the organization’s metadata, the BI team can’t match the data from multiple sources to produce a single view of the business. This means that much of what the BI team does involves searching for and cataloging metadata. The typical BI team spends more than half its time manually tracking down metadata and errors.
The Data Administration Newsletter
JANUARY 5, 2021
Several years ago, I wrote an article called the Data Governance Bill of “Rights.” I also speak often about my Bill of “Rights” in many of my webinars and presentations. Please notice that I put the word “rights” in quotations.
Octopai
MAY 13, 2019
These processes often rely on humans performing manual discovery and documentation tasks for: – Metadata management – ETL specifications – Report definitions – Reporting errors – Changes to calculations …and many other aspects of the data environment. That something has to do with metadata management. Here’s the bad news: “metadata management” means different things to different organizations. (In Metadata Management Automation.
Jim Harris
MAY 5, 2017
Spelling, pronunciation, and examples of usage are included in the dictionary definition of a word, which is a good example of one of the many uses of metadata, namely to provide a definition, description, and context for data. Pictured to the left is the dictionary that has been on my desk for over 15 years, which is a good metaphor for the challenges of metadata management. In practice, I haven’t encountered a metadata dictionary that could deliver on that promise.
The Data Administration Newsletter
JANUARY 5, 2021
A recent report on data culture released by Alation shows that enterprises continue to make progress toward creating a data culture even while the pandemic has forced them to make tough decisions. Nearly all respondents report having lost personnel due to economic concerns. But things are looking up.
The Data Administration Newsletter
JANUARY 19, 2021
In October 2020, the Office of the Comptroller of the Currency (OCC) announced a $400 million civil monetary penalty against Citibank for deficiencies in enterprise-wide risk management, compliance risk management, data governance, and internal controls.
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