The document discusses Express Scripts winning the 2012 Data Governance Best Practice Award. It provides details on the award, including that it was the third annual award and there were 10 submissions that were evaluated by a panel of specialists. Express Scripts was selected as the winner for its formalized data governance program that included data quality initiatives, a data stewardship program, and organizational structure to support data governance across the large company. The program has resulted in estimated cost avoidance of over $20 million in 2011 from improved data quality and governance.
Real-World Data Governance: Data Governance Roles & ResponsibilitiesDATAVERSITY
Well thought out data governance roles and responsibilities lie at the heart of successful data governance programs. All activities focus on the roles. From how we recognize stewards and apply governance, to how we engage and communicate with the people in the roles – the roles become the operating model for how governance works.
Join Bob Seiner for this month’s installment of the DATAVERSITY Real-World Data Governance webinar series focused on defining an operating model that can be assimilated to your organization. This model includes an easy-to-explain set of roles and responsibilities aligned with how your organization functions.
The session will cover:
Operational, Tactical, Strategic and Support Roles
How to recognize your stewards and other roles
How to apply roles consistently through all facets of your program
Providing incentive for active involvement
Real-World Data Governance Webinar: Data Governance Framework ComponentsDATAVERSITY
There are several basic components that go into delivering a successful and sustainable data governance program. Many of these framework items can be developed using tools you already own and without going to great expense. Organizations swear by the items that will be discussed in this webinar.
Join Bob Seiner for this month’s installment of the Real-World Data Governance series to learn about how to build and deliver immediate and future value from your Data Governance program through the delivery of items that will formalize accountability for the management of data and information assets.
Bob will discuss these core components:
Gaining Leadership’s backing and understanding
Best Practice Analysis leading to Recommended Actions
Operating Model of Roles & Responsibilities
Communications Plan to improve awareness
Action Plan / Roadmap to success
Real-World Data Governance: A Different Way of Defining Data Stewards & Stewa...DATAVERSITY
What if everybody in your organization was considered a steward of the data they define, produce and use? What would it take to get that message across? How would we communicate with everybody, all the time, in an effective way … or this just a pipe dream? What exactly would it take to change the mindset of the organization as to the value of governance and stewardship of our most critical of assets? Bob Seiner thinks he has the answer. And he wants to share it with you during this installment of his Real-World Data Governance webinar series.
RWDG Webinar: Data Steward Definition and Other Data Governance RolesDATAVERSITY
The role of the Data Steward is critical to the success of a Data Governance program. There are several approaches to Stewardship including assigning people to be Data Stewards, identify existing Data Stewards and recognizing Data Stewards according to their relationship to the data they define, produce and use. However Stewards are only one of several Data Governance roles that must be considered.
In this month’s RWDG webinar, Bob Seiner will discuss several approaches to defining the role of the Data Steward as well as the other roles necessary for Data Governance program success. Data Governance roles must include operational, tactical, strategic and supporting levels of responsibilities. Spend an hour with Bob where he will share a customize-able Operating Model of Data Governance roles and responsibilities.
In this webinar, Bob will discuss:
• Several approaches to defining Data Stewards and Stewardship
• How to select the Stewardship approach that is right for you
• Different levels of Stewards required for a successful program
• An Operating Model of DG Roles that can be molded to fit in any culture
• Why the approach to defining DG roles can make or break the program
Real-World Data Governance: Agile Data Governance - The Truth Be ToldDATAVERSITY
The concepts of Agile Software Development have been applied in many ways in many organizations with differing levels of success. We should not be surprised that Agile is being used in terms of Data Governance. This application calls into question some of the key concepts of being Agile and Governing Data that are well worth discussing.
Join Bob Seiner and a Special Guest in this installment of the Real-World Data Governance webinar series to explore the idea of staying Agile in our Data Governance efforts and how to Govern Agile efforts. The subject of Agile always seems to spark interest from skeptics and believers alike. All viewpoints will be considered.
This session will cover:
The Agile Manifesto
The value of staying Agile
What is meant by Agile Data Governance
Applying Governance to Agile efforts
Comparison with Other Methods of Governance
Real-World Data Governance: Data Governance Policy - Components and ContentDATAVERSITY
Metadata is the most valuable tool of the Data Steward. Where the stewards get their metadata and how they participate in the process of delivering core metadata is an issue organizations have been struggling with for years. The Operational Metadata Store or OMS may be the answer.
The traditional Operational Data Store or ODS is a database designed to integrate data from numerous sources that supports business operations and then feeds that data back into the operational systems. This Real-World Data Governance webinar with Bob Seiner and a panel of industry pundits will hold a lively discussion on the practicality of creating the ODS using metadata as the data, utilizing the metadata from a variety of existing sources to operationalize your data stewards.
The session will focus on:
Identifying the most significant metadata for your organization
Identifying existing sources of metadata – known and hidden
Identifying when that metadata will be most useful to your data stewards
Defining a lifecycle that encourages data steward participation
Delivering a model that incorporates all of the above
Real-World Data Governance: Data Governance Roles & ResponsibilitiesDATAVERSITY
Well thought out data governance roles and responsibilities lie at the heart of successful data governance programs. All activities focus on the roles. From how we recognize stewards and apply governance, to how we engage and communicate with the people in the roles – the roles become the operating model for how governance works.
Join Bob Seiner for this month’s installment of the DATAVERSITY Real-World Data Governance webinar series focused on defining an operating model that can be assimilated to your organization. This model includes an easy-to-explain set of roles and responsibilities aligned with how your organization functions.
The session will cover:
Operational, Tactical, Strategic and Support Roles
How to recognize your stewards and other roles
How to apply roles consistently through all facets of your program
Providing incentive for active involvement
Real-World Data Governance Webinar: Data Governance Framework ComponentsDATAVERSITY
There are several basic components that go into delivering a successful and sustainable data governance program. Many of these framework items can be developed using tools you already own and without going to great expense. Organizations swear by the items that will be discussed in this webinar.
Join Bob Seiner for this month’s installment of the Real-World Data Governance series to learn about how to build and deliver immediate and future value from your Data Governance program through the delivery of items that will formalize accountability for the management of data and information assets.
Bob will discuss these core components:
Gaining Leadership’s backing and understanding
Best Practice Analysis leading to Recommended Actions
Operating Model of Roles & Responsibilities
Communications Plan to improve awareness
Action Plan / Roadmap to success
Real-World Data Governance: A Different Way of Defining Data Stewards & Stewa...DATAVERSITY
What if everybody in your organization was considered a steward of the data they define, produce and use? What would it take to get that message across? How would we communicate with everybody, all the time, in an effective way … or this just a pipe dream? What exactly would it take to change the mindset of the organization as to the value of governance and stewardship of our most critical of assets? Bob Seiner thinks he has the answer. And he wants to share it with you during this installment of his Real-World Data Governance webinar series.
RWDG Webinar: Data Steward Definition and Other Data Governance RolesDATAVERSITY
The role of the Data Steward is critical to the success of a Data Governance program. There are several approaches to Stewardship including assigning people to be Data Stewards, identify existing Data Stewards and recognizing Data Stewards according to their relationship to the data they define, produce and use. However Stewards are only one of several Data Governance roles that must be considered.
In this month’s RWDG webinar, Bob Seiner will discuss several approaches to defining the role of the Data Steward as well as the other roles necessary for Data Governance program success. Data Governance roles must include operational, tactical, strategic and supporting levels of responsibilities. Spend an hour with Bob where he will share a customize-able Operating Model of Data Governance roles and responsibilities.
In this webinar, Bob will discuss:
• Several approaches to defining Data Stewards and Stewardship
• How to select the Stewardship approach that is right for you
• Different levels of Stewards required for a successful program
• An Operating Model of DG Roles that can be molded to fit in any culture
• Why the approach to defining DG roles can make or break the program
Real-World Data Governance: Agile Data Governance - The Truth Be ToldDATAVERSITY
The concepts of Agile Software Development have been applied in many ways in many organizations with differing levels of success. We should not be surprised that Agile is being used in terms of Data Governance. This application calls into question some of the key concepts of being Agile and Governing Data that are well worth discussing.
Join Bob Seiner and a Special Guest in this installment of the Real-World Data Governance webinar series to explore the idea of staying Agile in our Data Governance efforts and how to Govern Agile efforts. The subject of Agile always seems to spark interest from skeptics and believers alike. All viewpoints will be considered.
This session will cover:
The Agile Manifesto
The value of staying Agile
What is meant by Agile Data Governance
Applying Governance to Agile efforts
Comparison with Other Methods of Governance
Real-World Data Governance: Data Governance Policy - Components and ContentDATAVERSITY
Metadata is the most valuable tool of the Data Steward. Where the stewards get their metadata and how they participate in the process of delivering core metadata is an issue organizations have been struggling with for years. The Operational Metadata Store or OMS may be the answer.
The traditional Operational Data Store or ODS is a database designed to integrate data from numerous sources that supports business operations and then feeds that data back into the operational systems. This Real-World Data Governance webinar with Bob Seiner and a panel of industry pundits will hold a lively discussion on the practicality of creating the ODS using metadata as the data, utilizing the metadata from a variety of existing sources to operationalize your data stewards.
The session will focus on:
Identifying the most significant metadata for your organization
Identifying existing sources of metadata – known and hidden
Identifying when that metadata will be most useful to your data stewards
Defining a lifecycle that encourages data steward participation
Delivering a model that incorporates all of the above
The Data Model as a Data Governance ArtifactDATAVERSITY
Data Modelling lies at the core of many data management programs. The basic definition of data and the conceptual, logical and physical models can be used in many ways and benefit many people. Some of the uses of the Data Model may not be obvious or may not presently be followed by your organization. Find out why.
Join Bob Seiner for this installment of the Real-World Data Governance webinar series where he will discuss the use of the Data Model as an artifact of Data Governance. Bob will look at the data models as a way to effectively communicate along the path to better data definition, production and usage.
In this webinar, Bob will discuss:
•Applying DG Best Practices to Data Modelling
•The Data Model as an Effective Communications Tool
•Using Data Models to Improve Data Definition, Production and Use
•Appropriate Audiences for the Models
•The Relationship Between Data Governance and Data Modelling
RWDG Slides: Corporate Data Governance - The CDO is the Data Governance ChiefDATAVERSITY
The CDO is a relatively new and evolving role. Many CDO job descriptions detail specific Data Governance responsibilities. Some CDO job descriptions read all-data-governance and all-the-time. It has become obvious. The CDO is the new chief of Data Governance.
In this Real-World Data Governance webinar, Bob Seiner and special guest Anthony Algmin will focus on the evolution of the Chief Data Officer role and associated responsibilities. Someone must lead Data Governance and the CDO is the obvious choice. Attend this webinar to learn why.
In this webinar, Bob will present:
• A Detailed CDO Job Description
• Why the CDO is the Data Governance Chief
• The Makeup of the Chief’s Tribe
• Lessons Learned from the CDO’s Office
• Suggestions for new and existing CDOs
RWDG Webinar: A Data Governance Framework for Smart DataDATAVERSITY
Does your organization have smart data? How does your company define smart data? Smart data is data that is used in non-traditional ways such as through machine learning, through the semantic web and by taking advantage of new data opportunities such as the Internet of Thing. Businesses have embraced the importance of Big Data. Now we are being asked to embrace and govern Smart Data.
Join Bob Seiner and a Smart Data Expert for this Real-World Data Governance webinar focused on the governing the use of emerging data technologies and smart data practices as a way of maximizing the value of data in your organization. Smart data is new. Smart data will be the next Big Data. Attend this webinar to learn why Smart Data must be governed.
In the webinar, Bob and a special guest will share:
• An easy to understand definition of Smart Data
• Why you should provide a framework to govern Smart Data
• How Smart Data Governance sources differs from traditional Data Governance
• How Smart Data can and will be used in the present and future
• What it means to provide a Framework to govern Smart Data
Real-World Data Governance: Governing Customer Data – Is There a Difference?DATAVERSITY
Many organizations select a specific domain or subject area of data to focus on as they kick off their data governance initiative. More often than not, it seems that subject area is Customer data. It is common practice these days for organizations to become customer-centric through being data-centric. Perhaps that is the case with your organization.
Real-World DG Webinar: A Data Governance Framework for Success DATAVERSITY
A Data Governance Framework must include best practices, a practical set of roles & responsibilities for Data Governance built specifically for your organization, a plan for communicating with the entire organization and an action plan for applying governance in effective and measurable ways.
Join Bob Seiner for this Real-World Data Governance webinar as he discusses how to stay practical and work within the culture of your organization to develop and deliver a Data Governance Framework to meet your specifications and the business’ expectations.
This session will focus on:
Defining a Non-Invasive Operating Model of Roles & Responsibilities
Clearly Stating the Difference between Executive, Strategic, Tactical, Operational & Supporting Roles
Defining Data Stewards, Data Stewardship and How to Steward the Data
Recognizing & Identifying People into Roles Rather than Handing them to People as New Responsibilities
Leveraging the Framework to Implement a Successful Data Governance Program
Successful Data Governance Models and FrameworksDATAVERSITY
There are three models that any organization can follow when implementing a Data Governance program. Programs can be developed to “command-and-control” the data. Programs can be developed to focus on a specific discipline such as protecting the data. And programs can focus on formalizing accountability for data across the board. Picking the model for your organization is the trick.
The treat is what will be discussed in this Real World Data Governance webinar with Bob Seiner. Bob will present a detailed assessment of each of the three models mentioned above. Many of the components of a successful program depend on the model selected. This webinar will outline and discuss these components.
In this webinar Bob will talk about:
• The three Data Governance models and frameworks
• Comparison of the models
• The up-side and downside of each model
• How to select the appropriate model for your organization
• Detailing the tricks while providing the treats
RWDG Webinar: The New Non-Invasive Data Governance FrameworkDATAVERSITY
Non-Invasive Data Governance is summarized as the practice of formalizing accountability for data and the application of governance to process. Non-Invasive Data Governance describes how data governance is applied to the organization rather than being forced into the environment. A NIDG framework will be introduced in this webinar.
In this month’s installment of the RWDG webinar series, Bob Seiner will present a new data governance framework that addresses the core components of data governance for each level of the organization. The resulting framework can be used for all approaches to data governance.
In this webinar Bob will discuss:
- The five core components of a data governance effort
- The five levels where the core components will be addressed
- Detailed explanation of each component for each level
- A diagram to complete the framework for your organization
- A framework comparison across approaches
Data Governance & Data Steward CertificationDATAVERSITY
Becoming certified means that you have been provided some form of external review, education, assessment, or audit and that you passed that review. Being certified can make the difference in getting a job or that desirable position. Many people are seeking certification to differentiate themselves from their competition. It makes sense.
Join Bob Seiner for this month’s installment of Real-World Data Governance to explore the depth of necessity of certification in the field of data governance and the responsibility of the data stewards. Bob will talk about the different certifications available and direct you to the one that is appropriate according to your responsibilities. It may not be as easy as you think. Learn why in this webinar.
In this webinar Bob will talk about:
The Value of Being Certified
Categories of Available Certification
What to look for from Certification
Whether Certification is Right for You
Internal Versus External Certification
Data Governance Best Practices and Lessons LearnedDATAVERSITY
Best practices and lessons learned are powerful tools used to assess an organization’s readiness and initial activities associated with delivering a Data Governance program. There are two criteria to determine if something is best practice for your organization. And the definition of data governance best practice is best way to learn from others and begin with the end in mind.
Bob Seiner will share industry data governance best practices in this month’s installment of the RWDG webinar series. Learn how to use the best practices defined in this webinar to address opportunities to improve your organization’s data governance implementation. Attend this webinar and learn that assessing your organization may not be as difficult as you think.
During this webinar Bob will discuss:
How to define data governance best practices for your organization
Criteria used to determine if a practice is best practice
How to assess your organization against industry best practice
Assessing risks associated with best practice gaps
Addressing opportunities to improve gaps uncovered in the assessment
Real-World Data Governance: Navigating the Ocean of Data Governance ToolsDATAVERSITY
What exactly is a Data Governance tool? Is it what the software companies say it is? Is it something we can develop internally? Is it the traditional data dictionary or business glossary? The answers to these questions are in reverse Yes, Yes, Yes and whatever you say it is. This needs to be explained.
This month’s Real-World Data Governance webinar with Bob Seiner will look at the types of Data Governance Tools on the market and the types of tools that can be delivered internally while evaluating the pros, cons and considerations for selecting the combination that will enhance the capability of your Data Governance program.
This session will cover:
How to Develop Data Governance Tool Requirements
Tools that are Available on the Market and Their Capabilities
Tools that can be Delivered Internally
How to Leverage Tools You Already Own
How to Justify the Purchase of Available Software
RWDG Webinar Everybody is a Data StewardDATAVERSITY
Leadership is beginning to recognize that everyone that has a relationship to your data must be held formally accountable for that relationship. People that define data must look to see if the data they need is already available. People that produce data must understand the impact of what they produce. People that use data must be held accountable for following internal and external rules. Almost everybody has a relationship to the data.
Join Bob Seiner for the June installment of the RWDG webinar series to gain a better understanding of the “everybody is a data steward” approach to stewardship. The future of data stewardship will not only engage the few select subject matter stewards but will be opened to engage everybody in the organization. This open view of stewardship may need to be addressed by your data governance program.
Join Bob Seiner to learn about:
How to expand a data governance program to include a role for everybody
How to define stewardship to embrace formalized accountability
How to communicate with everybody in the organization no matter your size
How to embrace perspectives associated with people’s relationships to data
How to deal with the idea that “everybody is a data steward”
Role of Analytics in Delivering Health Information to help fight Cancer in Au...Deanna Kosaraju
Voices 2014
Role of Analytics in Delivering Health Information to help fight Cancer in Australia
Katerina Andronis,
Deloitte Consulting, Australia and Chandana Unnithan,
Deakin University, Australia
RWDG Slides: Activate Your Data Governance PolicyDATAVERSITY
What does it mean to activate a Data Governance policy? Can an inactive policy be effective? Data Governance policies can address different things depending on the organization. Some policies are very general and introduce the awareness of formal Data Governance to the organization. Other policies address specific needs like Data Quality, data documentation, and data protection.
Join Bob Seiner and a special guest for this RWDG webinar where they will tackle of the subject of how to develop and deploy an active Data Governance policy. Bob and his guest will provide specific examples of policy components and examples of how organizations use policies to govern their data.
In this webinar, Bob and his guest will discuss:
- When a Data Governance policy is necessary (and when it isn’t)
- The difference between an active and inactive policy
- Tips for activating a Data Governance policy
- Using the policy to drive Data Governance
- Getting people to follow a Data Governance policy
Real-World Data Governance: How to Write a Data Steward Job DescriptionDATAVERSITY
A Data Steward Job Description is a list of job responsibilities that a Data Steward uses for tasks, or functions, and responsibilities of them in their everyday role. It includes to whom they report, the qualifications or skills needed by the person, and sometimes even includes a salary range. The job description of a Data Steward is not a new job description or different from their other job description. Is this confusing? We thought so.
This Real-World Data Governance webinar with Bob Seiner will focus on defining the typical responsibilities for every data steward all at once, no matter the industry, their role in the organization, or their role in the Data Governance program. Bob will focus on a list of competencies required for people to become great Data Stewards.
The session will include:
Components of a Data Steward Job Description
Seiner’s Rules for Becoming a Data Steward and How They Apply
Getting the Data Steward Involved in the Writing
Evaluating a Data Steward Based on the Job Description
Is a Job Description Even Necessary
RWDG Webinar: Govern Metadata: Vocabulary, Dictionaries and DataDATAVERSITY
Governance Metadata is easier to understand and simpler to manage when you address it in three easy levels. These levels are 1) semantic, 2) business metadata and 3) technical metadata and they are all connected in many ways. Laying out an architecture that addresses these components lie at the core of successful data management and data governance programs. In this Real-World Data Governance webinar, Bob Seiner lays out an overall structure, structure for each level individually as well as their interactions and uses alongside the other levels. A simple schematic is used to demonstrate navigation across levels and value from making available metadata available. Spend an hour with us and take away several useful ideas. This webinar will cover:
•A Three-Tiered Approach to Mastering Metadata
•Description of the Metadata at each Level
•Planning for the Purchase of Governance/Metadata Tools
•Processes for Metadata Change Management
•Role of Communications in Mastering Metadata
Real-World Data Governance: Governance Risk and ComplianceDATAVERSITY
The target of many a Data Governance Program is to nail their regulatory and compliance requirements first to appease the government and industry regulators before doing anything else. Risk Management, as a practice, is already in place in most organizations under a variety of names. Even though most organizations do not consider Risk Management the same thing as Data Governance, the similarities abound. Compliance is not optional. Nothing about Regulatory and Compliance mentions optional. Governance is not optional either.
The session will cover:
Risk Management Vs. Data Governance – A Close Comparison
Risk Management as the Face of Data Governance
Measuring Success of Governance in terms of Risk Management
Using Risk and Compliance to Explain Governance
Using “Not Optional” as Your Crutch
How to Implement Data Governance Best PracticeDATAVERSITY
Data Governance Best Practice is defined as basis and guidelines for suggested governing activities. Organizations define best practices to be used as a point of comparison when determining their readiness, willingness and actions necessary to put a Data Governance program in place. But what are the best practices and how can they be implemented? This webinar will address these questions and more.
In this RWDG webinar, Bob Seiner will talk about how to create, validate, assess and implement Data Governance Best Practice with immediate impact on present and future Data Governance activities. The result of a Best Practice assessment is a thorough actionable plan focused on demonstrating value from your Data Governance program.This webinar will cover:
• Two Criteria for Data Governance Best Practice Development
• How to Assess against Best Practice to Build Program Success
• Examples of Industry Selected DG Best Practice
• How to Communicate DG Best Practice in a Non-Threatening Way
• How to Build DG Best Practice into Daily Operations
Introduction to Data Governance
Seminar hosted by Embarcadero technologies, where Christopher Bradley presented a session on Data Governance.
Drivers for Data Governance & Benefits
Data Governance Framework
Organization & Structures
Roles & responsibilities
Policies & Processes
Programme & Implementation
Reporting & Assurance
The Data Model as a Data Governance ArtifactDATAVERSITY
Data Modelling lies at the core of many data management programs. The basic definition of data and the conceptual, logical and physical models can be used in many ways and benefit many people. Some of the uses of the Data Model may not be obvious or may not presently be followed by your organization. Find out why.
Join Bob Seiner for this installment of the Real-World Data Governance webinar series where he will discuss the use of the Data Model as an artifact of Data Governance. Bob will look at the data models as a way to effectively communicate along the path to better data definition, production and usage.
In this webinar, Bob will discuss:
•Applying DG Best Practices to Data Modelling
•The Data Model as an Effective Communications Tool
•Using Data Models to Improve Data Definition, Production and Use
•Appropriate Audiences for the Models
•The Relationship Between Data Governance and Data Modelling
RWDG Slides: Corporate Data Governance - The CDO is the Data Governance ChiefDATAVERSITY
The CDO is a relatively new and evolving role. Many CDO job descriptions detail specific Data Governance responsibilities. Some CDO job descriptions read all-data-governance and all-the-time. It has become obvious. The CDO is the new chief of Data Governance.
In this Real-World Data Governance webinar, Bob Seiner and special guest Anthony Algmin will focus on the evolution of the Chief Data Officer role and associated responsibilities. Someone must lead Data Governance and the CDO is the obvious choice. Attend this webinar to learn why.
In this webinar, Bob will present:
• A Detailed CDO Job Description
• Why the CDO is the Data Governance Chief
• The Makeup of the Chief’s Tribe
• Lessons Learned from the CDO’s Office
• Suggestions for new and existing CDOs
RWDG Webinar: A Data Governance Framework for Smart DataDATAVERSITY
Does your organization have smart data? How does your company define smart data? Smart data is data that is used in non-traditional ways such as through machine learning, through the semantic web and by taking advantage of new data opportunities such as the Internet of Thing. Businesses have embraced the importance of Big Data. Now we are being asked to embrace and govern Smart Data.
Join Bob Seiner and a Smart Data Expert for this Real-World Data Governance webinar focused on the governing the use of emerging data technologies and smart data practices as a way of maximizing the value of data in your organization. Smart data is new. Smart data will be the next Big Data. Attend this webinar to learn why Smart Data must be governed.
In the webinar, Bob and a special guest will share:
• An easy to understand definition of Smart Data
• Why you should provide a framework to govern Smart Data
• How Smart Data Governance sources differs from traditional Data Governance
• How Smart Data can and will be used in the present and future
• What it means to provide a Framework to govern Smart Data
Real-World Data Governance: Governing Customer Data – Is There a Difference?DATAVERSITY
Many organizations select a specific domain or subject area of data to focus on as they kick off their data governance initiative. More often than not, it seems that subject area is Customer data. It is common practice these days for organizations to become customer-centric through being data-centric. Perhaps that is the case with your organization.
Real-World DG Webinar: A Data Governance Framework for Success DATAVERSITY
A Data Governance Framework must include best practices, a practical set of roles & responsibilities for Data Governance built specifically for your organization, a plan for communicating with the entire organization and an action plan for applying governance in effective and measurable ways.
Join Bob Seiner for this Real-World Data Governance webinar as he discusses how to stay practical and work within the culture of your organization to develop and deliver a Data Governance Framework to meet your specifications and the business’ expectations.
This session will focus on:
Defining a Non-Invasive Operating Model of Roles & Responsibilities
Clearly Stating the Difference between Executive, Strategic, Tactical, Operational & Supporting Roles
Defining Data Stewards, Data Stewardship and How to Steward the Data
Recognizing & Identifying People into Roles Rather than Handing them to People as New Responsibilities
Leveraging the Framework to Implement a Successful Data Governance Program
Successful Data Governance Models and FrameworksDATAVERSITY
There are three models that any organization can follow when implementing a Data Governance program. Programs can be developed to “command-and-control” the data. Programs can be developed to focus on a specific discipline such as protecting the data. And programs can focus on formalizing accountability for data across the board. Picking the model for your organization is the trick.
The treat is what will be discussed in this Real World Data Governance webinar with Bob Seiner. Bob will present a detailed assessment of each of the three models mentioned above. Many of the components of a successful program depend on the model selected. This webinar will outline and discuss these components.
In this webinar Bob will talk about:
• The three Data Governance models and frameworks
• Comparison of the models
• The up-side and downside of each model
• How to select the appropriate model for your organization
• Detailing the tricks while providing the treats
RWDG Webinar: The New Non-Invasive Data Governance FrameworkDATAVERSITY
Non-Invasive Data Governance is summarized as the practice of formalizing accountability for data and the application of governance to process. Non-Invasive Data Governance describes how data governance is applied to the organization rather than being forced into the environment. A NIDG framework will be introduced in this webinar.
In this month’s installment of the RWDG webinar series, Bob Seiner will present a new data governance framework that addresses the core components of data governance for each level of the organization. The resulting framework can be used for all approaches to data governance.
In this webinar Bob will discuss:
- The five core components of a data governance effort
- The five levels where the core components will be addressed
- Detailed explanation of each component for each level
- A diagram to complete the framework for your organization
- A framework comparison across approaches
Data Governance & Data Steward CertificationDATAVERSITY
Becoming certified means that you have been provided some form of external review, education, assessment, or audit and that you passed that review. Being certified can make the difference in getting a job or that desirable position. Many people are seeking certification to differentiate themselves from their competition. It makes sense.
Join Bob Seiner for this month’s installment of Real-World Data Governance to explore the depth of necessity of certification in the field of data governance and the responsibility of the data stewards. Bob will talk about the different certifications available and direct you to the one that is appropriate according to your responsibilities. It may not be as easy as you think. Learn why in this webinar.
In this webinar Bob will talk about:
The Value of Being Certified
Categories of Available Certification
What to look for from Certification
Whether Certification is Right for You
Internal Versus External Certification
Data Governance Best Practices and Lessons LearnedDATAVERSITY
Best practices and lessons learned are powerful tools used to assess an organization’s readiness and initial activities associated with delivering a Data Governance program. There are two criteria to determine if something is best practice for your organization. And the definition of data governance best practice is best way to learn from others and begin with the end in mind.
Bob Seiner will share industry data governance best practices in this month’s installment of the RWDG webinar series. Learn how to use the best practices defined in this webinar to address opportunities to improve your organization’s data governance implementation. Attend this webinar and learn that assessing your organization may not be as difficult as you think.
During this webinar Bob will discuss:
How to define data governance best practices for your organization
Criteria used to determine if a practice is best practice
How to assess your organization against industry best practice
Assessing risks associated with best practice gaps
Addressing opportunities to improve gaps uncovered in the assessment
Real-World Data Governance: Navigating the Ocean of Data Governance ToolsDATAVERSITY
What exactly is a Data Governance tool? Is it what the software companies say it is? Is it something we can develop internally? Is it the traditional data dictionary or business glossary? The answers to these questions are in reverse Yes, Yes, Yes and whatever you say it is. This needs to be explained.
This month’s Real-World Data Governance webinar with Bob Seiner will look at the types of Data Governance Tools on the market and the types of tools that can be delivered internally while evaluating the pros, cons and considerations for selecting the combination that will enhance the capability of your Data Governance program.
This session will cover:
How to Develop Data Governance Tool Requirements
Tools that are Available on the Market and Their Capabilities
Tools that can be Delivered Internally
How to Leverage Tools You Already Own
How to Justify the Purchase of Available Software
RWDG Webinar Everybody is a Data StewardDATAVERSITY
Leadership is beginning to recognize that everyone that has a relationship to your data must be held formally accountable for that relationship. People that define data must look to see if the data they need is already available. People that produce data must understand the impact of what they produce. People that use data must be held accountable for following internal and external rules. Almost everybody has a relationship to the data.
Join Bob Seiner for the June installment of the RWDG webinar series to gain a better understanding of the “everybody is a data steward” approach to stewardship. The future of data stewardship will not only engage the few select subject matter stewards but will be opened to engage everybody in the organization. This open view of stewardship may need to be addressed by your data governance program.
Join Bob Seiner to learn about:
How to expand a data governance program to include a role for everybody
How to define stewardship to embrace formalized accountability
How to communicate with everybody in the organization no matter your size
How to embrace perspectives associated with people’s relationships to data
How to deal with the idea that “everybody is a data steward”
Role of Analytics in Delivering Health Information to help fight Cancer in Au...Deanna Kosaraju
Voices 2014
Role of Analytics in Delivering Health Information to help fight Cancer in Australia
Katerina Andronis,
Deloitte Consulting, Australia and Chandana Unnithan,
Deakin University, Australia
RWDG Slides: Activate Your Data Governance PolicyDATAVERSITY
What does it mean to activate a Data Governance policy? Can an inactive policy be effective? Data Governance policies can address different things depending on the organization. Some policies are very general and introduce the awareness of formal Data Governance to the organization. Other policies address specific needs like Data Quality, data documentation, and data protection.
Join Bob Seiner and a special guest for this RWDG webinar where they will tackle of the subject of how to develop and deploy an active Data Governance policy. Bob and his guest will provide specific examples of policy components and examples of how organizations use policies to govern their data.
In this webinar, Bob and his guest will discuss:
- When a Data Governance policy is necessary (and when it isn’t)
- The difference between an active and inactive policy
- Tips for activating a Data Governance policy
- Using the policy to drive Data Governance
- Getting people to follow a Data Governance policy
Real-World Data Governance: How to Write a Data Steward Job DescriptionDATAVERSITY
A Data Steward Job Description is a list of job responsibilities that a Data Steward uses for tasks, or functions, and responsibilities of them in their everyday role. It includes to whom they report, the qualifications or skills needed by the person, and sometimes even includes a salary range. The job description of a Data Steward is not a new job description or different from their other job description. Is this confusing? We thought so.
This Real-World Data Governance webinar with Bob Seiner will focus on defining the typical responsibilities for every data steward all at once, no matter the industry, their role in the organization, or their role in the Data Governance program. Bob will focus on a list of competencies required for people to become great Data Stewards.
The session will include:
Components of a Data Steward Job Description
Seiner’s Rules for Becoming a Data Steward and How They Apply
Getting the Data Steward Involved in the Writing
Evaluating a Data Steward Based on the Job Description
Is a Job Description Even Necessary
RWDG Webinar: Govern Metadata: Vocabulary, Dictionaries and DataDATAVERSITY
Governance Metadata is easier to understand and simpler to manage when you address it in three easy levels. These levels are 1) semantic, 2) business metadata and 3) technical metadata and they are all connected in many ways. Laying out an architecture that addresses these components lie at the core of successful data management and data governance programs. In this Real-World Data Governance webinar, Bob Seiner lays out an overall structure, structure for each level individually as well as their interactions and uses alongside the other levels. A simple schematic is used to demonstrate navigation across levels and value from making available metadata available. Spend an hour with us and take away several useful ideas. This webinar will cover:
•A Three-Tiered Approach to Mastering Metadata
•Description of the Metadata at each Level
•Planning for the Purchase of Governance/Metadata Tools
•Processes for Metadata Change Management
•Role of Communications in Mastering Metadata
Real-World Data Governance: Governance Risk and ComplianceDATAVERSITY
The target of many a Data Governance Program is to nail their regulatory and compliance requirements first to appease the government and industry regulators before doing anything else. Risk Management, as a practice, is already in place in most organizations under a variety of names. Even though most organizations do not consider Risk Management the same thing as Data Governance, the similarities abound. Compliance is not optional. Nothing about Regulatory and Compliance mentions optional. Governance is not optional either.
The session will cover:
Risk Management Vs. Data Governance – A Close Comparison
Risk Management as the Face of Data Governance
Measuring Success of Governance in terms of Risk Management
Using Risk and Compliance to Explain Governance
Using “Not Optional” as Your Crutch
How to Implement Data Governance Best PracticeDATAVERSITY
Data Governance Best Practice is defined as basis and guidelines for suggested governing activities. Organizations define best practices to be used as a point of comparison when determining their readiness, willingness and actions necessary to put a Data Governance program in place. But what are the best practices and how can they be implemented? This webinar will address these questions and more.
In this RWDG webinar, Bob Seiner will talk about how to create, validate, assess and implement Data Governance Best Practice with immediate impact on present and future Data Governance activities. The result of a Best Practice assessment is a thorough actionable plan focused on demonstrating value from your Data Governance program.This webinar will cover:
• Two Criteria for Data Governance Best Practice Development
• How to Assess against Best Practice to Build Program Success
• Examples of Industry Selected DG Best Practice
• How to Communicate DG Best Practice in a Non-Threatening Way
• How to Build DG Best Practice into Daily Operations
Introduction to Data Governance
Seminar hosted by Embarcadero technologies, where Christopher Bradley presented a session on Data Governance.
Drivers for Data Governance & Benefits
Data Governance Framework
Organization & Structures
Roles & responsibilities
Policies & Processes
Programme & Implementation
Reporting & Assurance
This presentation reports on data governance best practices. Based on a definition of fundamental terms and the business rationale for data governance, a set of case studies from leading companies is presented. The content of this presentation is a result of the Competence Center Corporate Data Quality (CC CDQ) at the University of St. Gallen, Switzerland.
End-User Computing (EUC) is the realm of spreadsheets, word processing, presentations, email, stand-alone users, individual devices, and file sharing applications like Dropbox. It is fair to say that EUC is not a traditional focus of Data Governance in many organizations, although individual aspects of EUC may be dealt with. However, EUC is so large in most organizations that Data Governance must start to ensure that data management is done appropriately in it. Additionally, regulators are becoming increasingly interested in ECU, which is an additional impetus to address it. This webinar focuses on the major challenges that exist in EUC and how Data Governance can address them. Fundamental questions, such a simply understanding what is a “production” EUC application are discussed. The data life cycle in the context of EUC, particularly data capture and interaction with corporate systems is examined, as is the need for quality of all kinds in EUC, including data quality.
Attendees will learn:
•What End User Computing (EUC) is and why Data Governance urgently needs to address it
•Why EUC environments often cannot be replaced by corporate systems from IT
•Problems that can arise from ungoverned EUC environments
•Basic strategies for governing EUC environments
•Tools and techniques for EUC governance
This presentation illustrates best practices in master data governance through a rich set of case studies. The presentation leverages seven years of in-depth experience in the field from the Competence Center Corporate Data Quality.
Data-Ed Online: Data Management Maturity ModelDATAVERSITY
The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization's data management capabilities. The model allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and strengths to leverage. The assessment method reveals priorities, business needs, and a clear, rapid path for process improvements. This webinar will describe the DMM, its evolution, and illustrate its use as a roadmap guiding organizational data management improvements.
Takeaways:
Our profession is advancing its knowledge and has a wide spread basis for partnerships
New industry assessment standard is based on successful CMM/CMMI foundation
Clear need for data strategy
A clear and unambiguous call for participation
About the Speakers
Data-Ed Slides: Data Architecture Strategies - Constructing Your Data GardenDATAVERSITY
Data architecture is foundational to an information-based operational environment. Without proper structure and efficiency in organization, data assets cannot be utilized to their full potential, which in turn harms bottom-line business value. When designed well and used effectively, however, a strong data architecture can be referenced to inform, clarify, understand, and resolve aspects of a variety of business problems commonly encountered in organizations.
The goal of this webinar is not to instruct you in being an outright data architect, but rather to enable you to envision a number of uses for data architectures that will maximize your organization’s competitive advantage.
With that being said, we will:
- Discuss data architecture’s guiding principles and best practices
- Demonstrate how to utilize data architecture to address a broad variety of organizational challenges and support your overall business strategy
- Illustrate how best to understand foundational data architecture concepts based on the DAMA International Guide to Data Management Body of Knowledge (DAMA DMBOK)
Implementing a Data Lake with Enterprise Grade Data GovernanceHortonworks
Hadoop provides a powerful platform for data science and analytics, where data engineers and data scientists can leverage myriad data from external and internal data sources to uncover new insight. Such power is also presenting a few new challenges. On the one hand, the business wants more and more self-service, and on the other hand IT is trying to keep up with the demand for data, while maintaining architecture and data governance standards.
In this webinar, Andrew Ahn, Data Governance Initiative Product Manager at Hortonworks, will address the gaps and offer best practices in providing end-to-end data governance in HDP. Andrew Ahn will be followed by Oliver Claude of Waterline Data, who will share a case study of how Waterline Data Inventory works with HDP in the Modern Data Architecture to automate the discovery of business and compliance metadata, data lineage, as well as data quality metrics.
How to Build & Sustain a Data Governance Operating Model DATUM LLC
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!
Finding the perfect data governance environment is an elusive target. It’s important to govern to the least extent necessary in order to achieve the greatest common good. With the three data governance cultures, authoritarian, tribal, and democratic, the latter is best for a balanced, productive governance strategy.
The Triple Aim of data governance is: 1) ensuring data quality, 2) building data literacy, and 3) maximizing data exploitation for the organization’s benefit. The overall strategy should be guided by these three principles under the guidance of the data governance committee.
Data governance committees need to be sponsored at the executive board and leadership level, with supporting roles defined for data stewards, data architects, database and systems administrators, and data analysts. Data governance committees need to avoid the most common failure modes: wandering, technical overkill, political infighting, and bureaucratic red tape.
Healthcare organizations that are undergoing analytics adoption will also go through six phases of data governance including: 1) establishing the tone for becoming a data-driven organization, 2) providing access to data, 3) establishing data stewards, 4) establishing a data quality program, 5) exploiting data for the benefit of the organization, 6) the strategic acquisition of data to benefit the organization.
As U.S. healthcare moves into its next stage of evolution, the organizations that will survive and thrive will be those who most effectively acquire, analyze, and utilize their data to its fullest extent. Such is the mission of data governance.
Describes what Enterprise Data Architecture in a Software Development Organization should cover and does that by listing over 200 data architecture related deliverables an Enterprise Data Architect should remember to evangelize.
Giving data governance recommendations is easy
but implementing them is altogether a different
ball game. Organizations do realize the
importance and value of data governance
initiatives but when it comes to funding and
prioritization of such initiatives, it always takes a lower priority. Over a period, governance becomes the root cause of a handful of the organizational issues and it is then when the organizations start to prioritize DG and bring in experts to set things
right. This article tries to throw light on the expectations of these organizations, what they get from the experts and how much of the recommendation can be converted or is converted to reality.
This white paper helps project teams identify performance measures for Information Technology (IT ) support and maintenance projects, which collect and report data to help track and assess project progress, product quality, project success and customer satisfaction of a project. An effective set of performance measures provide actionable information on a focused set of metrics. This in turn provides a balanced view of project performance that can be used to improve the project management process. Performance measures also provide for accountability by laying out what is expected, when it is expected and what action will be taken if planned achievements do not occur.
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
When starting or evaluating the present state of your Data Governance program, it is important to focus on best practices such that you don’t take a ready, fire, aim approach. Best practices need to be practical and doable to be selected for your organization, and the program must be at risk if the best practice is not achieved.
Join Bob Seiner for an important webinar focused on industry best practice around standing up formal Data Governance. Learn how to assess your organization against the practices and deliver an effective roadmap based on the results of conducting the assessment.
In this webinar, Bob will focus on:
- Criteria to select the appropriate best practices for your organization
- How to define the best practices for ultimate impact
- Assessing against selected best practices
- Focusing the recommendations on program success
- Delivering a roadmap for your Data Governance program
David Rose provided an overview of the Benefits associated with Enterprise Architecture.
Presented at the first JISC Emerging Practices workshop (2012/03/29).
http://emergingpractices.jiscinvolve.org/wp/doing-ea-workshop/
Building Innovative Mobile, Cloud, & Process Applications using SOAManmohan Gupta
Mobile computing, the cloud and process applications open up new ways to increase the business value of your SOA. Watch this webinar to learn best practices for building mobile, cloud and process applications. See how your peers are driving business value with SOA and learn how you can make IT more agile to support changing business needs.
M12S08 - Transforming RIM to 'Responsible Information Management'MER Conference
From the MER Conference 2012
Speaker: Karen Strong
For many years "RIM" has been the name of the function within organizations responsible for Records & Information Management. RIM represents the discipline of managing an organization's records and information according to standards, guidelines, laws, and regulations with a focus on compliance.
It is time, however, to re-think some of the traditional assumptions about Records & Information Management. This session details the transformational value in a change to "Responsible Information Management (RIM)".
Responsible Information Management re-sets the vision and direction of RIM and can put your organization on a path to adopt and sustain "best practice" information management behaviors.
Responsible Information Management takes into consideration the roles and responsibilities of every user who creates and receives information in their daily work activities with clear expectations regarding individual and organizational accountability.
In this session, learn:
The necessary changes in behavior at the individual and organizational level to achieve Responsible Information Management, and
The steps you can take to achieve the required business results of Responsible Information Management by leveraging best practices in organizational transformation and change management.
Lead, Empower, Motivate! Monthly leadership workshops in Southern California for current and future supervisors, managers, and HR professionals. HRCI recertification credit.
Making your metadata governance program for unstructured content sustainableAlix Kneifel
This session will present governance problems and strategies, along with a set of tools to help you evaluate your metadata governance program or get it back on track. Presented at DGIQ conference, June 2012.
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...DATAVERSITY
Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed to address multi-faceted needs by offering multi-function data management and analytics to solve the enterprise’s most pressing data and analytic challenges in a streamlined fashion.
In this research-based session, I’ll discuss what the components are in multiple modern enterprise analytics stacks (i.e., dedicated compute, storage, data integration, streaming, etc.) and focus on total cost of ownership.
A complete machine learning infrastructure cost for the first modern use case at a midsize to large enterprise will be anywhere from $3 million to $22 million. Get this data point as you take the next steps on your journey into the highest spend and return item for most companies in the next several years.
Data at the Speed of Business with Data Mastering and GovernanceDATAVERSITY
Do you ever wonder how data-driven organizations fuel analytics, improve customer experience, and accelerate business productivity? They are successful by governing and mastering data effectively so they can get trusted data to those who need it faster. Efficient data discovery, mastering and democratization is critical for swiftly linking accurate data with business consumers. When business teams can quickly and easily locate, interpret, trust, and apply data assets to support sound business judgment, it takes less time to see value.
Join data mastering and data governance experts from Informatica—plus a real-world organization empowering trusted data for analytics—for a lively panel discussion. You’ll hear more about how a single cloud-native approach can help global businesses in any economy create more value—faster, more reliably, and with more confidence—by making data management and governance easier to implement.
What is data literacy? Which organizations, and which workers in those organizations, need to be data-literate? There are seemingly hundreds of definitions of data literacy, along with almost as many opinions about how to achieve it.
In a broader perspective, companies must consider whether data literacy is an isolated goal or one component of a broader learning strategy to address skill deficits. How does data literacy compare to other types of skills or “literacy” such as business acumen?
This session will position data literacy in the context of other worker skills as a framework for understanding how and where it fits and how to advocate for its importance.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
Data Catalogs Are the Answer – What Is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
In this webinar, Bob will focus on:
-Selecting the appropriate metadata to govern
-The business and technical value of a data catalog
-Building the catalog into people’s routines
-Positioning the data catalog for success
-Questions the data catalog can answer
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “Big Data,” “NoSQL,” “Data Scientist,” and so on. Few realize that all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, data modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important the data models driving the engineering and architecture activities of your organization. This webinar illustrates data modeling as a key activity upon which so much technology and business investment depends.
Specific learning objectives include:
- Understanding what types of challenges require data modeling to be part of the solution
- How automation requires standardization on derivable via data modeling techniques
- Why only a working partnership between data and the business can produce useful outcomes
Analytics play a critical role in supporting strategic business initiatives. Despite the obvious value to analytic professionals of providing the analytics for these initiatives, many executives question the economic return of analytics as well as data lakes, machine learning, master data management, and the like.
Technology professionals need to calculate and present business value in terms business executives can understand. Unfortunately, most IT professionals lack the knowledge required to develop comprehensive cost-benefit analyses and return on investment (ROI) measurements.
This session provides a framework to help technology professionals research, measure, and present the economic value of a proposed or existing analytics initiative, no matter the form that the business benefit arises. The session will provide practical advice about how to calculate ROI and the formulas, and how to collect the necessary information.
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.
Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:
- why it matters,
- what it means,
- what gets in the way,
- who needs it (and how much they need),
- what companies believe it will accomplish.
In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
Change is hard, especially in response to negative stimuli or what is perceived as negative stimuli. So organizations need to reframe how they think about data privacy, security and governance, treating them as value centers to 1) ensure enterprise data can flow where it needs to, 2) prevent – not just react – to internal and external threats, and 3) comply with data privacy and security regulations.
Working together, these roles can accelerate faster access to approved, relevant and higher quality data – and that means more successful use cases, faster speed to insights, and better business outcomes. However, both new information and tools are required to make the shift from defense to offense, reducing data drama while increasing its value.
Join us for this panel discussion with experts in these fields as they discuss:
- Recent research about where data privacy, security and governance stand
- The most valuable enterprise data use cases
- The common obstacles to data value creation
- New approaches to data privacy, security and governance
- Their advice on how to shift from a reactive to resilient mindset/culture/organization
You’ll be educated, entertained and inspired by this panel and their expertise in using the data trifecta to innovate more often, operate more efficiently, and differentiate more strategically.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
As DATAVERSITY’s RWDG series hurdles into our 12th year, this webinar takes a quick look behind us, evaluates the present, and predicts the future of Data Governance. Based on webinar numbers, hot Data Governance topics have evolved over the years from policies and best practices, roles and tools, data catalogs and frameworks, to supporting data mesh and fabric, artificial intelligence, virtualization, literacy, and metadata governance.
Join Bob Seiner as he reflects on the past and what has and has not worked, while sharing examples of enterprise successes and struggles. In this webinar, Bob will challenge the audience to stay a step ahead by learning from the past and blazing a new trail into the future of Data Governance.
In this webinar, Bob will focus on:
- Data Governance’s past, present, and future
- How trials and tribulations evolve to success
- Leveraging lessons learned to improve productivity
- The great Data Governance tool explosion
- The future of Data Governance
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
Would you share your bank account information on social media? How about shouting your social security number on the New York City subway? We didn’t think so either – that’s why data governance is consistently top of mind.
In this webinar, we’ll discuss the common Cloud data governance best practices – and how to apply them today. Join us to uncover Google Cloud’s investment in data governance and learn practical and doable methods around key management and confidential computing. Hear real customer experiences and leave with insights that you can share with your team. Let’s get solving.
Topics that you will hear addressed in this webinar:
- Understanding the basics of Cloud Incident Response (IR) and anticipated data governance trends
- Best practices for key management and apply data governance to your day-to-day
- The next wave of Confidential Computing and how to get started, including a demo
It is a fascinating, explosive time for enterprise analytics.
It is from the position of analytics leadership that the enterprise mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data, and projects that will deliver analytics. After all, no matter what business you’re in, you’re in the business of analytics.
The coming years will be full of big changes in enterprise analytics and data architecture. William will kick off the fifth year of the Advanced Analytics series with a discussion of the trends winning organizations should build into their plans, expectations, vision, and awareness now.
Too often I hear the question “Can you help me with our data strategy?” Unfortunately, for most, this is the wrong request because it focuses on the least valuable component: the data strategy itself. A more useful request is: “Can you help me apply data strategically?” Yes, at early maturity phases the process of developing strategic thinking about data is more important than the actual product! Trying to write a good (must less perfect) data strategy on the first attempt is generally not productive –particularly given the widespread acceptance of Mike Tyson’s truism: “Everybody has a plan until they get punched in the face.” This program refocuses efforts on learning how to iteratively improve the way data is strategically applied. This will permit data-based strategy components to keep up with agile, evolving organizational strategies. It also contributes to three primary organizational data goals. Learn how to improve the following:
- Your organization’s data
- The way your people use data
- The way your people use data to achieve your organizational strategy
This will help in ways never imagined. Data are your sole non-depletable, non-degradable, durable strategic assets, and they are pervasively shared across every organizational area. Addressing existing challenges programmatically includes overcoming necessary but insufficient prerequisites and developing a disciplined, repeatable means of improving business objectives. This process (based on the theory of constraints) is where the strategic data work really occurs as organizations identify prioritized areas where better assets, literacy, and support (data strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are also covered, including:
- A cohesive argument for why data strategy is necessary for effective data governance
- An overview of prerequisites for effective strategic use of data strategy, as well as common pitfalls
- A repeatable process for identifying and removing data constraints
- The importance of balancing business operation and innovation
Who Should Own Data Governance – IT or Business?DATAVERSITY
The question is asked all the time: “What part of the organization should own your Data Governance program?” The typical answers are “the business” and “IT (information technology).” Another answer to that question is “Yes.” The program must be owned and reside somewhere in the organization. You may ask yourself if there is a correct answer to the question.
Join this new RWDG webinar with Bob Seiner where Bob will answer the question that is the title of this webinar. Determining ownership of Data Governance is a vital first step. Figuring out the appropriate part of the organization to manage the program is an important second step. This webinar will help you address these questions and more.
In this session Bob will share:
- What is meant by “the business” when it comes to owning Data Governance
- Why some people say that Data Governance in IT is destined to fail
- Examples of IT positioned Data Governance success
- Considerations for answering the question in your organization
- The final answer to the question of who should own Data Governance
It is clear that Data Management best practices exist and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one design a process for Data Management goal achievement? This program describes what must be done at the programmatic level to achieve better data use and a way to implement this as part of your data program. The approach combines DMBoK content and CMMI/DMM processes – permitting organizations with the opportunity to benefit from the best of both. It also permits organizations to understand:
- Their current Data Management practices
- Strengths that should be leveraged
- Remediation opportunities
MLOps – Applying DevOps to Competitive AdvantageDATAVERSITY
MLOps is a practice for collaboration between Data Science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning” and “operations,” MLOps applies DevOps principles to ML delivery, enabling the delivery of ML-based innovation at scale to result in:
Faster time to market of ML-based solutions
More rapid rate of experimentation, driving innovation
Assurance of quality, trustworthiness, and ethical AI
MLOps is essential for scaling ML. Without it, enterprises risk struggling with costly overhead and stalled progress. Several vendors have emerged with offerings to support MLOps: the major offerings are Microsoft Azure ML and Google Vertex AI. We looked at these offerings from the perspective of enterprise features and time-to-value.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.