Considers several ways in which data can help philanthropic organizations improve their missions, as well as pathways toward making philanthropy more data-driven.
Broadly speaking, when analyzed responsibly data and data science can provide philanthropies with an improved analysis or understanding of the situation or problem; help predict future trends or help evaluate the impact of investments made.
This in turn can perfect the way philanthropies function in three broad ways:
First, having access to data and data science can influence the overall operations of philanthropies, making them run more efficiently.
Second, data can transform how philanthropies are governed, making them more accountable — a topic of major importance in the current philanthropic landscape.
Third, data can increase the impact of an organization’s mission by allowing them to make evidence-based decisions and continuously adjust their activities to take account of realities on the ground.
Chief Data & Analytics Officer Fall Boston - PresentationSrinivasan Sankar
Data Asset Catalog & Metadata Management - Is It a Fad or Is It the Future?
Many have dubbed metadata as “the new black,” but is this accurate?
How to leverage metadata management to streamline data governance and ensure transparency
Improving data quality and ensuring consistency and accuracy of data across various reporting systems
Looking at the flip side: what are the additional training requirements and value-added for the business?
DOXLON November 2016 - Data Democratization Using SplunkOutlyer
In this session, Neil Roy Chowdhury - Lead Splunk Consultant @ Strft - looks at Splunk to foster collaboration between dev and ops teams in a safe and secure way. We focus on the need for semantic logging and what part data models can play in everyone speaking the same language, not just for dev and ops teams, but for information security and other business areas too.
Presentation at Data Innovation Summit 2021. Trusted, well managed data is key to AI and machine learning success. Data citizens need data insights and data scientists need to spend more time building models. Everyone wants to spend less time finding, discovering, and munging data and ensuring the data quality to deliver business results. However, traditional data approaches lock data away and slow AI implementation leaves much of this work on the data practitioner’s shoulders. This session will cover how AI is also helping solve these problems. New data tools that combine automation with human expertise are enabling data and knowledge sharing (including new data classes like IOT data), data democratization, and cloud migration. AI-driven data enablement ensures everyone can find the right data and make intelligent use of it. Join us for a lively discussion on the most critical resource for AI: your data.
Slides: Applying Artificial Intelligence (AI) in All the Right Places in the ...DATAVERSITY
Data and Analytics are fundamental to digital transformation, yet many companies are still under-utilizing them. To go full throttle, AI and automation technologies can be added across the full spectrum of your data journey to truly re-imagine processes and business models.
Join Information Builders for this webinar on how AI:
• Augments your traditional business intelligence and analytics systems
• Minimizes manual inefficiencies with the way data is generated, collected, cleansed, and organized
• Helps you realize substantial performance gains with use cases such as churn forecasting, predictive maintenance, supply chain planning, risk mitigation, and more
Chief Data & Analytics Officer Fall Boston - PresentationSrinivasan Sankar
Data Asset Catalog & Metadata Management - Is It a Fad or Is It the Future?
Many have dubbed metadata as “the new black,” but is this accurate?
How to leverage metadata management to streamline data governance and ensure transparency
Improving data quality and ensuring consistency and accuracy of data across various reporting systems
Looking at the flip side: what are the additional training requirements and value-added for the business?
DOXLON November 2016 - Data Democratization Using SplunkOutlyer
In this session, Neil Roy Chowdhury - Lead Splunk Consultant @ Strft - looks at Splunk to foster collaboration between dev and ops teams in a safe and secure way. We focus on the need for semantic logging and what part data models can play in everyone speaking the same language, not just for dev and ops teams, but for information security and other business areas too.
Presentation at Data Innovation Summit 2021. Trusted, well managed data is key to AI and machine learning success. Data citizens need data insights and data scientists need to spend more time building models. Everyone wants to spend less time finding, discovering, and munging data and ensuring the data quality to deliver business results. However, traditional data approaches lock data away and slow AI implementation leaves much of this work on the data practitioner’s shoulders. This session will cover how AI is also helping solve these problems. New data tools that combine automation with human expertise are enabling data and knowledge sharing (including new data classes like IOT data), data democratization, and cloud migration. AI-driven data enablement ensures everyone can find the right data and make intelligent use of it. Join us for a lively discussion on the most critical resource for AI: your data.
Slides: Applying Artificial Intelligence (AI) in All the Right Places in the ...DATAVERSITY
Data and Analytics are fundamental to digital transformation, yet many companies are still under-utilizing them. To go full throttle, AI and automation technologies can be added across the full spectrum of your data journey to truly re-imagine processes and business models.
Join Information Builders for this webinar on how AI:
• Augments your traditional business intelligence and analytics systems
• Minimizes manual inefficiencies with the way data is generated, collected, cleansed, and organized
• Helps you realize substantial performance gains with use cases such as churn forecasting, predictive maintenance, supply chain planning, risk mitigation, and more
DAS Slides: Data Architect vs. Data Engineer vs. Data ModelerDATAVERSITY
The increasing focus on data in today’s organization has increased demand for critical roles such as data architect, data engineer, and data modeler. But there is often confusion and ambiguity around what these roles entail, and what overlap exists between them. This webinar will discuss these data-centric roles and their place in the data-driven organization.
It’s been almost two years since the General Data Protection Regulation shook up how organizations manage data security and privacy, ushering in a new focus on Data Governance. This complex but critical practice still has most enterprises grappling to master it for a myriad of reasons.
In this webinar, we’ll examine how Data Governance attitudes and practices continue to evolve and discuss what new research reveals as the most predominant challenges. We’ll delve into technology trends, including how adding certain capabilities will benefit your organization in terms of data asset availability, quality, and usability, including data consumer literacy and confidence.
When you attend this webinar, you will learn about:
• The requirements for a successful and sustainable Data Governance program
• Increasing confidence in data analytics for faster speed to insights
• How to automate data preparation and intelligence and where to start
ADV Slides: Building and Growing Organizational Analytics with Data LakesDATAVERSITY
Data lakes are providing immense value to organizations embracing data science.
In this webinar, William will discuss the value of having broad, detailed, and seemingly obscure data available in cloud storage for purposes of expanding Data Science in the organization.
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
The Essentials of Data Governance in the New Normal
On behalf of SBI Consulting I’ve made a webinar on June 30th about Data Governance.
Data is everywhere in an organization and is often considered as one of the most important assets. Yet this data asset is managed by everyone or not managed at all, often lacking rules or missing support. Luckily, data governance can help! But how do you take your first steps into something that’s often described as complex? And isn’t it expensive too?
In this webinar “The Essentials of Data Governance”, I cover topics such as:
What the Data Governance Organizing Framework entails
Why Data Governance is important for your business
How you can implement Data Governance into your organization
How Data Governance will evolve during the New Normal
The critical success factors for a proper Data Governance program
The 5 key takeaways to get you started
The outcome of this webinar? The essentials for your very own Data Governance Framework and practical insights to get going immediately.
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
RWDG Webinar: Align Data Modeling with Data GovernanceDATAVERSITY
Data Modeling can be described as the discipline of data definition and database design. Data Governance must be applied to the definition, production, and usage of data in order to be effective. So therefore data modeling is an effective way to initiate a program to govern your data.
Join Bob Seiner for this month’s installment of the RWDG webinar series that will focus on how to align data modeling as a core competency of an effective data governance program. Data modeling that results in solid business definition and database design lays the groundwork for improved business understanding of the organization’s most important data.
In this webinar Bob will discuss:
Data modeling as a data governance discipline
Using data modeling to improve the business understanding of data
Why the data model is a key data governance artifact
How to use the data model as an effective communications tool
Including modeling as a core service associated with data governance
Understanding the Data You Have Before Applying a Governance StrategyDATAVERSITY
Data Governance is a challenge in today’s world with massive amounts of data being created, duplicated, and stored. How can a company know they are making the best decisions about their data without truly understanding what they have? In this session, Darryl will walk you through a customer use case and explain the importance of truly knowing your data before applying a governance strategy.
You’ll walk away knowing how to
• Find your most sensitive data, and protect it
• Classify your massive unstructured data repositories, and manage it
• Identify ROT (Redundant/Obsolete/Trivial) and remove it
• Learn from your data to make data driven decisions
Knowing your data puts you in the driver’s seat to make decisions that will allow you to be pro-active against cyber threats, reduce costs from hardware to energy, and even reduce your data footprint.
The first step towards understanding what data assets mean for your organization is understanding what those assets mean for each other. Metadata—literally, data about data—is one of many data management disciplines inherent in good systems development, and is perhaps the most mislabeled and misunderstood out of the lot. Understanding metadata and its associated technologies as more than just straightforward technological tools can provide powerful insight, the efficiency of organizational practices, and can also enable you to combine more sophisticated data management techniques in support of larger and more complex business initiatives.
In this webinar, we will:
Illustrate how to leverage metadata in support of your business strategy
Discuss foundational metadata concepts based on the DAMA Guide to Data Management Book of Knowledge (DAMA DMBOK)
Enumerate guiding principles for and lessons previously learned from metadata and its practical uses
Data is everywhere, and delivering trustable data to anyone who needs it has become a challenge. But innovative technologies come to the rescue: through smart semantics, metadata management, auto-profiling, faceted search and collaborative data curation there is a way to establish a Wikipedia like approach for your data. Find out how Talend will help you to operationalize more data faster and increase data usage for everyone with an Enterprise Data Catalog
Slides: Metadata Management for the Governance MindedDATAVERSITY
Do you have data governance on your mind? Do you envision an environment where people are held formally accountable for the data they define, produce and use? Does metadata play a big role in that governed environment? Of course, it does. To manage any “thing” requires that you have quality information about that “thing".
Join Bob Seiner, of KIK Consulting and TDAN.com, with Gal Alon, Senior Director of Business Development for an industry leading metadata management automation software provider Octopai, as they discuss the who’s, what’s, why’s and how’s of automating and leveraging your metadata environment to successfully govern your organization’s data. Bob and Gal will spend the hour chatting about the role metadata management plays in data governance as well as discuss specific use cases to improve probability of Data Governance success.
In this webinar, Bob and Gal will demonstrate:
- Data Governance’s dependency on quality metadata
- How a great tool will lead to increased use of your metadata assets
- What to look for in a metadata management tool and how it will help
- Automation of metadata collection and management processes
- People that will benefit from improved metadata automation and delivery
Formalize Data Governance with Policies and ProceduresDATAVERSITY
Policies and procedures lie at the heart of institutionalizing data governance. Data Governance is defined as the act of “executing and enforcing authority” to follow the procedures and enforce the policies. You can formalize Data Governance by clearly defining and following policies and procedures.
Join Bob Seiner for this month’s installment of the Real-World Data Governance webinar series where he will discuss how data governance can be formalized in parallel to the delivery of data policy and detailed procedures. Challenges associated with the changing the behavior of the data stewards will be identified, discussed and resolved during this session.
In this webinar Bob will discuss:
The relationship between Data Governance and Data Policy
Core guidelines to embrace through policy
DG Roles and their importance to following Policies and Procedures
Using RACIs and similar constructs to formalize Data Governance
Measuring the results of formalizing policies and procedures
You Can’t Have Best in Class Governance Without Best in Class Data LineageDATAVERSITY
Without a complete and accurate understanding of how data flows throughout the organization, it is extremely difficult to establish the processes and metrics necessary for a successful data governance program. Best-in-class data lineage that provides multi-layered views of the data (cross-system, end-to-end and inner-lineage) plays a critical role in knowledge transfer, issue identification, information on the use of sources/resources, impact analysis, & definition clarity - all extremely necessary for best-in-class data governance.
In this presentation, you'll hear it straight from the horse's mouth as Anilh Rameshwar, Data Architect at Zego, shares exactly how automated data lineage provides his department with unprecedented visibility into their data, which is absolutely critical for the organization's data governance efforts.
Change management success for data governanceReid Elliott
As a data management professional you know that improving data governance is a top priority for many organisations. We know that data governance frameworks, processes and tools only enable benefits to the extent that our stakeholders adopt and use them effectively.
As well as technical proficiency and good project management and delivery, data governance success also requires effective change management. Preparing for change, managing change, and sustaining change are critical steps on the journey to effective data governance. So how can data management professionals best use change management principles and techniques to contribute to the success of our data governance initiatives?
This presentation was prepared to accompany a Data Management Association Australia webinar on change management success for data governance initiatives.
Aims of the facilitated discussion in the webinar were to explore:
How change management can enable the success of your data governance, reporting and analytics initiatives.
Common people change related challenges that many data governance, reporting and analytics initiatives need to navigate.
Change management techniques you can use to drive successful project delivery, change adoption and sustainable use of data governance, and reporting and analytics solutions.
How to identify the top change management priority for your own current project, and the change management techniques that you can use to address it.
Many data professionals struggle with the ability to demonstrate tangible returns on data management investments. In a webinar that is designed to appeal to both business and IT attendees, your presenter Dr. Peter Aiken will describe multiple types of value produced through data-centric development and management practices. One of our examples, the healthcare space, offers the unique opportunity to demonstrate additional types of return on investment or value outcomes, namely returns in the form of lives saved through increased rates of Bone Marrow Donor matches. In addition to metrics around increasing revenues or decreasing costs, i.e. investments that directly impact an organization’s financial position, these additional statistics of lives saved can be used to justify data management and quality initiatives.
Check out more of our webinars here: http://www.datablueprint.com/resource-center/
Data-Ed Online: Monetizing Data ManagementDATAVERSITY
Many data professionals struggle with the ability to demonstrate tangible returns on data management investments. In a webinar that is designed to appeal to both business and IT attendees, your presenter Dr. Peter Aiken will describe multiple types of value produced through data-centric development and management practices. One of our examples, the healthcare space, offers the unique opportunity to demonstrate additional types of return on investment or value outcomes, namely returns in the form of lives saved through increased rates of Bone Marrow Donor matches. In addition to metrics around increasing revenues or decreasing costs, i.e. investments that directly impact an organization’s financial position, these additional statistics of lives saved can be used to justify data management and quality initiatives.
Takeaways:
Learn to think about data differently, in terms of how it can drive organizational needs. Data is not an IT solution but an information solution.
Take a broad view to ensure data sharing across organizational silos
Smart small and go for quick wins: Build momentum and support
DAS Slides: Data Architect vs. Data Engineer vs. Data ModelerDATAVERSITY
The increasing focus on data in today’s organization has increased demand for critical roles such as data architect, data engineer, and data modeler. But there is often confusion and ambiguity around what these roles entail, and what overlap exists between them. This webinar will discuss these data-centric roles and their place in the data-driven organization.
It’s been almost two years since the General Data Protection Regulation shook up how organizations manage data security and privacy, ushering in a new focus on Data Governance. This complex but critical practice still has most enterprises grappling to master it for a myriad of reasons.
In this webinar, we’ll examine how Data Governance attitudes and practices continue to evolve and discuss what new research reveals as the most predominant challenges. We’ll delve into technology trends, including how adding certain capabilities will benefit your organization in terms of data asset availability, quality, and usability, including data consumer literacy and confidence.
When you attend this webinar, you will learn about:
• The requirements for a successful and sustainable Data Governance program
• Increasing confidence in data analytics for faster speed to insights
• How to automate data preparation and intelligence and where to start
ADV Slides: Building and Growing Organizational Analytics with Data LakesDATAVERSITY
Data lakes are providing immense value to organizations embracing data science.
In this webinar, William will discuss the value of having broad, detailed, and seemingly obscure data available in cloud storage for purposes of expanding Data Science in the organization.
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
The Essentials of Data Governance in the New Normal
On behalf of SBI Consulting I’ve made a webinar on June 30th about Data Governance.
Data is everywhere in an organization and is often considered as one of the most important assets. Yet this data asset is managed by everyone or not managed at all, often lacking rules or missing support. Luckily, data governance can help! But how do you take your first steps into something that’s often described as complex? And isn’t it expensive too?
In this webinar “The Essentials of Data Governance”, I cover topics such as:
What the Data Governance Organizing Framework entails
Why Data Governance is important for your business
How you can implement Data Governance into your organization
How Data Governance will evolve during the New Normal
The critical success factors for a proper Data Governance program
The 5 key takeaways to get you started
The outcome of this webinar? The essentials for your very own Data Governance Framework and practical insights to get going immediately.
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
RWDG Webinar: Align Data Modeling with Data GovernanceDATAVERSITY
Data Modeling can be described as the discipline of data definition and database design. Data Governance must be applied to the definition, production, and usage of data in order to be effective. So therefore data modeling is an effective way to initiate a program to govern your data.
Join Bob Seiner for this month’s installment of the RWDG webinar series that will focus on how to align data modeling as a core competency of an effective data governance program. Data modeling that results in solid business definition and database design lays the groundwork for improved business understanding of the organization’s most important data.
In this webinar Bob will discuss:
Data modeling as a data governance discipline
Using data modeling to improve the business understanding of data
Why the data model is a key data governance artifact
How to use the data model as an effective communications tool
Including modeling as a core service associated with data governance
Understanding the Data You Have Before Applying a Governance StrategyDATAVERSITY
Data Governance is a challenge in today’s world with massive amounts of data being created, duplicated, and stored. How can a company know they are making the best decisions about their data without truly understanding what they have? In this session, Darryl will walk you through a customer use case and explain the importance of truly knowing your data before applying a governance strategy.
You’ll walk away knowing how to
• Find your most sensitive data, and protect it
• Classify your massive unstructured data repositories, and manage it
• Identify ROT (Redundant/Obsolete/Trivial) and remove it
• Learn from your data to make data driven decisions
Knowing your data puts you in the driver’s seat to make decisions that will allow you to be pro-active against cyber threats, reduce costs from hardware to energy, and even reduce your data footprint.
The first step towards understanding what data assets mean for your organization is understanding what those assets mean for each other. Metadata—literally, data about data—is one of many data management disciplines inherent in good systems development, and is perhaps the most mislabeled and misunderstood out of the lot. Understanding metadata and its associated technologies as more than just straightforward technological tools can provide powerful insight, the efficiency of organizational practices, and can also enable you to combine more sophisticated data management techniques in support of larger and more complex business initiatives.
In this webinar, we will:
Illustrate how to leverage metadata in support of your business strategy
Discuss foundational metadata concepts based on the DAMA Guide to Data Management Book of Knowledge (DAMA DMBOK)
Enumerate guiding principles for and lessons previously learned from metadata and its practical uses
Data is everywhere, and delivering trustable data to anyone who needs it has become a challenge. But innovative technologies come to the rescue: through smart semantics, metadata management, auto-profiling, faceted search and collaborative data curation there is a way to establish a Wikipedia like approach for your data. Find out how Talend will help you to operationalize more data faster and increase data usage for everyone with an Enterprise Data Catalog
Slides: Metadata Management for the Governance MindedDATAVERSITY
Do you have data governance on your mind? Do you envision an environment where people are held formally accountable for the data they define, produce and use? Does metadata play a big role in that governed environment? Of course, it does. To manage any “thing” requires that you have quality information about that “thing".
Join Bob Seiner, of KIK Consulting and TDAN.com, with Gal Alon, Senior Director of Business Development for an industry leading metadata management automation software provider Octopai, as they discuss the who’s, what’s, why’s and how’s of automating and leveraging your metadata environment to successfully govern your organization’s data. Bob and Gal will spend the hour chatting about the role metadata management plays in data governance as well as discuss specific use cases to improve probability of Data Governance success.
In this webinar, Bob and Gal will demonstrate:
- Data Governance’s dependency on quality metadata
- How a great tool will lead to increased use of your metadata assets
- What to look for in a metadata management tool and how it will help
- Automation of metadata collection and management processes
- People that will benefit from improved metadata automation and delivery
Formalize Data Governance with Policies and ProceduresDATAVERSITY
Policies and procedures lie at the heart of institutionalizing data governance. Data Governance is defined as the act of “executing and enforcing authority” to follow the procedures and enforce the policies. You can formalize Data Governance by clearly defining and following policies and procedures.
Join Bob Seiner for this month’s installment of the Real-World Data Governance webinar series where he will discuss how data governance can be formalized in parallel to the delivery of data policy and detailed procedures. Challenges associated with the changing the behavior of the data stewards will be identified, discussed and resolved during this session.
In this webinar Bob will discuss:
The relationship between Data Governance and Data Policy
Core guidelines to embrace through policy
DG Roles and their importance to following Policies and Procedures
Using RACIs and similar constructs to formalize Data Governance
Measuring the results of formalizing policies and procedures
You Can’t Have Best in Class Governance Without Best in Class Data LineageDATAVERSITY
Without a complete and accurate understanding of how data flows throughout the organization, it is extremely difficult to establish the processes and metrics necessary for a successful data governance program. Best-in-class data lineage that provides multi-layered views of the data (cross-system, end-to-end and inner-lineage) plays a critical role in knowledge transfer, issue identification, information on the use of sources/resources, impact analysis, & definition clarity - all extremely necessary for best-in-class data governance.
In this presentation, you'll hear it straight from the horse's mouth as Anilh Rameshwar, Data Architect at Zego, shares exactly how automated data lineage provides his department with unprecedented visibility into their data, which is absolutely critical for the organization's data governance efforts.
Change management success for data governanceReid Elliott
As a data management professional you know that improving data governance is a top priority for many organisations. We know that data governance frameworks, processes and tools only enable benefits to the extent that our stakeholders adopt and use them effectively.
As well as technical proficiency and good project management and delivery, data governance success also requires effective change management. Preparing for change, managing change, and sustaining change are critical steps on the journey to effective data governance. So how can data management professionals best use change management principles and techniques to contribute to the success of our data governance initiatives?
This presentation was prepared to accompany a Data Management Association Australia webinar on change management success for data governance initiatives.
Aims of the facilitated discussion in the webinar were to explore:
How change management can enable the success of your data governance, reporting and analytics initiatives.
Common people change related challenges that many data governance, reporting and analytics initiatives need to navigate.
Change management techniques you can use to drive successful project delivery, change adoption and sustainable use of data governance, and reporting and analytics solutions.
How to identify the top change management priority for your own current project, and the change management techniques that you can use to address it.
Many data professionals struggle with the ability to demonstrate tangible returns on data management investments. In a webinar that is designed to appeal to both business and IT attendees, your presenter Dr. Peter Aiken will describe multiple types of value produced through data-centric development and management practices. One of our examples, the healthcare space, offers the unique opportunity to demonstrate additional types of return on investment or value outcomes, namely returns in the form of lives saved through increased rates of Bone Marrow Donor matches. In addition to metrics around increasing revenues or decreasing costs, i.e. investments that directly impact an organization’s financial position, these additional statistics of lives saved can be used to justify data management and quality initiatives.
Check out more of our webinars here: http://www.datablueprint.com/resource-center/
Data-Ed Online: Monetizing Data ManagementDATAVERSITY
Many data professionals struggle with the ability to demonstrate tangible returns on data management investments. In a webinar that is designed to appeal to both business and IT attendees, your presenter Dr. Peter Aiken will describe multiple types of value produced through data-centric development and management practices. One of our examples, the healthcare space, offers the unique opportunity to demonstrate additional types of return on investment or value outcomes, namely returns in the form of lives saved through increased rates of Bone Marrow Donor matches. In addition to metrics around increasing revenues or decreasing costs, i.e. investments that directly impact an organization’s financial position, these additional statistics of lives saved can be used to justify data management and quality initiatives.
Takeaways:
Learn to think about data differently, in terms of how it can drive organizational needs. Data is not an IT solution but an information solution.
Take a broad view to ensure data sharing across organizational silos
Smart small and go for quick wins: Build momentum and support
A hybrid approach to data management is emerging in healthcare as organizations recognize the value of an enterprise data warehouse in combination with a data lake.
In this SlideShare, we discuss data lakes in healthcare and we:
Provide an overview of a Hadoop-based data lake architecture and integration platform, and its application in machine learning, predictive modeling, and data discovery
Discuss several key use cases driving the adoption of data lakes for both providers and health plans
Discuss available data storage forms and the required tools for a data lake environment
Detail best practices for conducting data lake assessments and review key implementation considerations for healthcare
Cracking the Data Conundrum: How Successful Companies Make #BigData OperationalCapgemini
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
So, how can organizations make Big Data operational? There are many factors that go into the making of a successful Big Data implementation. However, the single biggest factor that we observed in our research was that organizations that have a strong operating model stood apart. This operating model has multiple distinct elements, which include, among others, a well-defined organizational structure, systematic implementation plan, and strong leadership support. For instance, success rates for organizations with an analytics business unit are nearly 2.5 times those that have ad-hoc, isolated teams. The report highlights the key factors for successful Big Data implementations.
Cracking the Data Conundrum: How Successful Companies Make #BigData OperationalSubrahmanyam KVJ
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
So, how can organizations make Big Data operational? There are many factors that go into the making of a successful Big Data implementation. However, the single biggest factor that we observed in our research was that organizations that have a strong operating model stood apart. This operating model has multiple distinct elements, which include, among others, a well-defined organizational structure, systematic implementation plan, and strong leadership support. For instance, success rates for organizations with an analytics business unit are nearly 2.5 times those that have ad-hoc, isolated teams. The report highlights the key factors for successful Big Data implementations.
Sutherland and International Institute for Analytics HIStalk Webinar - Charti...Sutherland Healthcare
The digital era is disrupting every industry and healthcare is no exception. Emerging technologies will introduce challenges and opportunities to transform operations and raise the bar of consumer experience. Success in this new era requires a new way of thinking, new skills, and new technologies to help your organization embrace digital health. This presentation demonstrates how to measure your organization's analytics maturity and design a strategy to digital transformation.
The three main objectives of this presentation are to show how to:
1) Leverage transformational design thinking methodologies to discover new opportunities, optimize existing operations, and improve experiences.
2) Measure and compare their organization's analytics maturity.
3) Develop a strategy for leveraging analytics and design thinking as a competitive differentiator
Data-Ed: Show Me the Money: Monetizing Data ManagementData Blueprint
Failure to successfully monetize data management investments sets up an unfortunate loop of fixing symptoms without addressing the underlying problems. As organizations begin to understand poor data management practices as the root causes of many of their business problems, they become more willing to make the required investments in our profession. This presentation uses specific examples to illustrate the costs of poor data management and how it impacts business objectives. Join us and learn how you can better align your data management projects with business objectives to justify funding and gain management approval.
Check out more of our webinars: http://www.datablueprint.com/resource-center/webinar-schedule/
Assessment of Constraints to Data Use is a rapid assessment tool designed to identify barriers and constraints that inhibit effective practices in data use.
http://www.cpc.unc.edu/measure/publications/ms-11-46-a
Data-Ed Online: Show Me the Money - Monetizing Data ManagementDATAVERSITY
Failure to successfully monetize data management investments sets up an unfortunate loop of fixing symptoms without addressing the underlying problems. As organizations begin to understand poor data management practices as the root causes of many of their business problems, they become more willing to make the required investments in our profession. This presentation uses specific examples to illustrate the costs of poor data management and how it impacts business objectives. Join us and learn how you can better align your data management projects with business objectives to justify funding and gain management approval.
Predictive Analytics - How to get stuff out of your Crystal BallDATAVERSITY
Everyone wants to leverage data. The optimal implementation of analytics is an organization-wide set of capabilities. These are called advantageous organizational analytic capabilities in that a clear ROI is demonstrable from these efforts. Turns out that there are a number of prerequisites to advantageous organizational analytics. These include:
Adopting a crawl, walk, run strategy
Understanding current and potential organizational maturity and corresponding capabilities
Achieving an appropriate technology/human capability balance
Implementing useful IT systems development practices
Installing necessary non-IT leadership
This webinar will explore these and other topics using examples drawn from DOD, healthcare researchers, and donation center operations.
Finding Actionable Insights from Healthcare's Big DataMedullan
This webinar covers how to:
- understand ways to prioritize your business drivers
- analyze your data and align opportunities (cost, reimbursement, risk) to maximize impact
- understand your target hyper-segment down to the member level
- identify higher cost segments and behaviors that would benefit from digital intervention
- learn ways to take action now
Intel Big Data Analysis Peer Research Slideshare 2013Intel IT Center
This PowerPoint presentation provides insights into results of a 2013 survey about big data analytics, including a comparison to 2012 big data survey results.
This presentation was prepared for PPG, my promotion course in May-July 2023, and bears my work. It underscores that decisions based on data are the correct decisions. It is only data that enables us to predict the events to come. If decisions are bases on dat industry, commerce, health, education, policy making and planning, then we will be able to make informed and correct decisions.
Data-Ed Online Webinar: Monetizing Data ManagementDATAVERSITY
Many data professionals struggle with the ability to demonstrate tangible returns on data management investments. In a webinar that is designed to appeal to both business and IT attendees, your presenter will describe multiple types of value produced through data-centric development and management practices. One of our examples, the healthcare space, offers the unique opportunity to demonstrate additional types of return on investment or value outcomes, namely returns in the form of lives saved through increased rates of Bone Marrow Donor matches. In addition to metrics around increasing revenues or decreasing costs, i.e. investments that directly impact an organization’s financial position, these additional statistics of lives saved can be used to justify data management and quality initiatives.
Takeaways:
Learn to think about data differently, in terms of how it can drive organizational needs. Data is not an IT solution but an information solution.
Take a broad view to ensure data sharing across organizational silos
Start small and go for quick wins: Build momentum and support
Data Innovation for Migration Handbook Launch Egmont Institute.pdfStefaan Verhulst
In a world grappling with the unprecedented challenges brought on by climate change and emerging health concerns, the Big Data for Migration Alliance recently unveiled "Harnessing Data Innovation for Migration Policy: A Handbook for Practitioners," a transformative resource that sheds new light on the complex dynamics of migration through the lens of non-traditional data sources.
This unveiling event occurred at the Egmont Institute in Brussels.
The handbook stands as a bridge, seamlessly connecting practical and technical realms, unearthing innovative methodologies, and promoting a deeper understanding of data ethics, protection, and governance. It is the result of a collaboration between the IOM’s Global Migration Data Analysis Centre, the European Commission’s Knowledge Centre on Migration and Demography, and The GovLab at New York University.
AI Localism: Toward Effective and Legitimate Governance of Artificial Intelli...Stefaan Verhulst
🏙️ Cities are at the forefront of AI governance, acting as laboratories of governance innovation.
🤝 Proximity fosters a unique environment for experimentation due to cities' close relationship with citizens.
🌍 Different cities, different insights – a rich tapestry of AI governance approaches is emerging.
🛠 Yet, we now have to start crafting the Normative Framework: What Does “Good” Look Like?
This requires us to think about how ESTABLISHING LEGITIMACY & EFFECTIVENESS at the same time?
This will require us to evaluate AI localism along 7 lines:
👥 PARTICIPATION: Inclusive decision-making with diverse stakeholders.
Example: Citizen Assemblies
🔊 REPRESENTATION: Ensuring diverse voices shape AI policies.
Example: Dedicated Committees
🔍 TRANSPARENCY: Clear about AI applications & decision-making processes.
Example: AI Registries
⚖️ ACCOUNTABILITY: Stakeholders held responsible for ethical AI governance.
Example: New Positions
🌀 AGILITY: Adapting to AI advancements for relevant governance.
Example: Regulatory Sandboxes
📚 EVIDENCE-BASED: Rational decision-making through experiments.
Example: Collaboration with Research Institutes
💰 COST-EFFECTIVENESS: Adaptive resource allocation.
Example: AI Procurement Processes
Responsible Data for Children Training_PublicSlides_110922.pdfStefaan Verhulst
The Responsible Data for Children (RD4C) initiative—a collaboration between The GovLab and UNICEF to promote the more responsible handling of data for and about children—has spent much of 2022 developing ways to socialize and operationalize the principles that put the best interests of children and a child rights approach at the center of our data activities.. From publishing new case studies that provide detail on what a responsible data approach looks like in action to supporting UNICEF and UNHCR country offices in helping them implement a responsible data for children approach to their operations to expanding its offerings in different languages, we’ve sought to help organizations understand what responsible data for children means and how they can realize it in their day-to-day operations.
Today, RD4C is continuing this work with self-guided training. Based on the tutorials offered to UNICEF staff in early 2022, these slides are a resource for organizations seeking to understand ways to operationalize the RD4C principles and implement the RD4C tools.
Data Collaboration and Stewardship for the Blue EconomyStefaan Verhulst
The presentation covers: Introduction to data collaboratives, a new form of collaboration, beyond the public-private partnership model, in which participants from different sectors exchange their data to create public value.
Focus on 3 types of data collaboratives that areparticularly relevant to the audience of ocean data professionals: Trusted Intermediaries; Data Pools; and Research and Analysis Partnerships.
Goverannce of Data Collaboratives leveraging the “Four Ps”:
Purpose: What is the purpose/mission of the data collaborative beyond providing access to data? Purpose can be organizational, relating to the functions of a larger institution, or an issue of data access, relating to the reasons for data access.
Principles: What norms and attitudes will inform decisions and data handling? Like Purpose, principles can be organizational, relating to how an institution governs itself and its projects, or a matter of data access, relating to how an institution governs its data.
Processes: What kinds of design-making processes are needed to ensure an organization can act on its principles to meet the purpose?
Practices: What is needed to operationalize the principles?
Reimaginig Data Stewardship: Capacities and CompetenciesStefaan Verhulst
Presentation by Stefaan G. Verhulst (The GovLab) at the UN World Data Forum on how to enable the re-use of (non-traditional) data for and in the public interest (including for official statistics) by re-imaging data stewardship. The presentation subsequently focuses on five clusters of competencies and capacities needed to establish this new profession.
Better Data for Better Policy: Opportunities and ChallengesStefaan Verhulst
Opening keynote presented at the Power from Statistics conference in Brussels, co-organized by Eurostat and the European Political Strategy Centre . The presentation focuses on the importance of data to inform and ultimately transform the full policy cycle. In addition, a key premise that is examined throughout the presentation is the need to access, utilize and find insight in the vast reams of data and data expertise that exist in private hands through the creation of new kinds of public and private partnerships or “data collaboratives” to establish more agile and data-driven policy making.
Understanding the Challenges of Street ChildrenSERUDS INDIA
By raising awareness, providing support, advocating for change, and offering assistance to children in need, individuals can play a crucial role in improving the lives of street children and helping them realize their full potential
Donate Us
https://serudsindia.org/how-individuals-can-support-street-children-in-india/
#donatefororphan, #donateforhomelesschildren, #childeducation, #ngochildeducation, #donateforeducation, #donationforchildeducation, #sponsorforpoorchild, #sponsororphanage #sponsororphanchild, #donation, #education, #charity, #educationforchild, #seruds, #kurnool, #joyhome
A process server is a authorized person for delivering legal documents, such as summons, complaints, subpoenas, and other court papers, to peoples involved in legal proceedings.
Presentation by Jared Jageler, David Adler, Noelia Duchovny, and Evan Herrnstadt, analysts in CBO’s Microeconomic Studies and Health Analysis Divisions, at the Association of Environmental and Resource Economists Summer Conference.
Russian anarchist and anti-war movement in the third year of full-scale warAntti Rautiainen
Anarchist group ANA Regensburg hosted my online-presentation on 16th of May 2024, in which I discussed tactics of anti-war activism in Russia, and reasons why the anti-war movement has not been able to make an impact to change the course of events yet. Cases of anarchists repressed for anti-war activities are presented, as well as strategies of support for political prisoners, and modest successes in supporting their struggles.
Thumbnail picture is by MediaZona, you may read their report on anti-war arson attacks in Russia here: https://en.zona.media/article/2022/10/13/burn-map
Links:
Autonomous Action
http://Avtonom.org
Anarchist Black Cross Moscow
http://Avtonom.org/abc
Solidarity Zone
https://t.me/solidarity_zone
Memorial
https://memopzk.org/, https://t.me/pzk_memorial
OVD-Info
https://en.ovdinfo.org/antiwar-ovd-info-guide
RosUznik
https://rosuznik.org/
Uznik Online
http://uznikonline.tilda.ws/
Russian Reader
https://therussianreader.com/
ABC Irkutsk
https://abc38.noblogs.org/
Send mail to prisoners from abroad:
http://Prisonmail.online
YouTube: https://youtu.be/c5nSOdU48O8
Spotify: https://podcasters.spotify.com/pod/show/libertarianlifecoach/episodes/Russian-anarchist-and-anti-war-movement-in-the-third-year-of-full-scale-war-e2k8ai4
ZGB - The Role of Generative AI in Government transformation.pdfSaeed Al Dhaheri
This keynote was presented during the the 7th edition of the UAE Hackathon 2024. It highlights the role of AI and Generative AI in addressing government transformation to achieve zero government bureaucracy
Many ways to support street children.pptxSERUDS INDIA
By raising awareness, providing support, advocating for change, and offering assistance to children in need, individuals can play a crucial role in improving the lives of street children and helping them realize their full potential
Donate Us
https://serudsindia.org/how-individuals-can-support-street-children-in-india/
#donatefororphan, #donateforhomelesschildren, #childeducation, #ngochildeducation, #donateforeducation, #donationforchildeducation, #sponsorforpoorchild, #sponsororphanage #sponsororphanchild, #donation, #education, #charity, #educationforchild, #seruds, #kurnool, #joyhome
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
12. 12
PRIVATELY HELD DATA: DATA COLLABORATIVES
Bill & Melinda Gates Foundation’s Data Access Principles
Frequently Asked Questions
This FAQ document is designed to provide guidelines for response to the anticipated frequently asked
questions regarding the launch of the Bill & Melinda Gates Foundation‟s Data Access Program in 2011.
This is considered a pilot year during which foundation staff and grantees should endeavor to apply the
principles to grant making and management, seek guidance on the challenges that arise, and document
these challenges for future program enhancements. As such, there are no “wrong answers” regarding
the specific ways in which the principles will be applied in 2011, but good faith efforts should be made.
The goal is to implement the principles broadly and to learn from experiences to refine the process. We
appreciate your cooperation and patience.
Principles and rationale
What are the Bill & Melinda Gates Foundation‟s Global Health Data Access Principles?
What is the difference between these principles and related elements of the Global Access
Policy?
Why has the foundation developed these principles?
What are the benefits of providing access to data?
Scope of the principles
To which activities and types of data do these principles apply?
What is meant by final data?
For which grants must a grantee prepare a Data Access Plan?
Do these principles apply to existing grants?
Do these principles apply to qualitative data?
Data Access Plans
What should a Data Access Plan include?
What is the timing for completing a Data Access Plan?
I plan to publish a paper with the findings of this project. Do I need to provide access to the data?
13. 13
DATA COOPERATIVES
OR POOLING
PRIZES
& CHALLENGES
RESEARCH
PARTNERSHIPS
INTELLIGENCE
PRODUCTS
TRUSTED
INTERMEDIARY
APPLICATION PROGRAMMING
INTERFACES (APIS)
SIX TYPES OF DATA COLLABORATIVES
14. 14
MOTIVATIONS TO SHARE: THE SIX Rs BEHIND CORPORATE DATA SHARING
RESPONSIBILITY
REGULATORY COMPLIANCE
REVENUE
REPUTATION & RETAINMENT OF TALENT
RECIPROCITY
RESEARCH & INSIGHTS
