This document discusses lessons in leadership that can be learned from the Battle of Mogadishu as told by Matt Eversmann, a retired Army First Sergeant. It provides background on Eversmann's military career and role in the Battle of Mogadishu. The document then discusses leadership concepts like strategic shock, problem solving under pressure, and developing leadership skills and followership traits through experiences like combat.
3 Essential Steps to Deliver Information Governance Success Through Strategy ...DATUM LLC
*This presentation was originally delivered at Data Governance and Information Quality Summit 2016.
One consistent best practice for success from digital leaders is to have an information strategy that directly maps to business capabilities and goals. Learn the 3 essential steps for creating that strategy and establishing information leadership. Information success is less about managing and more about leading
5 Steps to Prepare for Digital TransformationDATUM LLC
Download full white paper: http://info.datumstrategy.com/prepare-for-digital-transformation
- Determine and Measure Digital Transformation Readiness
- Build a Digital Core by Establishing a Simple & Scalable Data Governance Framework for Digital Transformation
- Deploy Change Management to Ensure Success
- Leverage Your Tools
- Avoid Common Points of Failure
How JCI Prepared a Data Governance Program for Big Data & MDG on HANADATUM LLC
ASUG Philadelphia Chapter Meeting Presentation by Matthew Vandevere - DATUM
1. How Johnson Controls Mobilized Their Data Governance Program for Big Data & MDG on HANA Matthew Vandevere – DATUM
2. Organizations struggle to balance ERP roll-outs with Data Governance initiatives, but there is a way to integrate deployment activities to achieve maximum value by: establishing a vision for MDG on HANA with proven strategies and tactics for deployment taking advantage of MDG on HANA to drive value in advance of ERP deployment Utilizing platform capabilities to accelerate ERP Implementations LEARNING POINTS
3. About Johnson Controls Today, there are nearly 170,000 employees and many business partners in the Johnson Controls’ family delivering products and services wherever their customers live, work and travel.
4. JCI’s Evolving Strategies Deliberate and explicit choices Company choices v. business unit-only choices Play to win in the markets they choose Data-driven v. supported anecdotes What does JCI want to be?
5. Quick Facts about DATUM • Fast-Growth Solutions Company Recognized by • Recognized by SmartCEO Magazine as a Future 50 rising star • Named Leader in Data Governance 2.0 by Forrester - February 2015 • 70% of ASUG Data Governance 2014 SIG Annual Meeting “Success Stories” are users of our Solutions DATUM Customers
6. The ERP Program Challenge for Data GovernanceInformationTrustworthiness Time ERP Data Readiness Mobilization Point Organization Data Gov. Policy Recognition of Lost ROI The Scramble How Could That Be? We Own It Let’s Start with Data! Migration Degradation Reliability Team Work RISK REDUCTION VALUE CREATION Mobilize Earlier! Typical ERP program activities are inherently designed to focus on the critical data governance requirements until AFTER Go- Live
7. Prioritizing what is Governed Strategic Insights Information Data KPI’s / Measures The foundation of the governance program is set based on the ERP program, but will expand based on the data and information that is most important to the business (processes and analytics)
8. Governance Model Evolution Governance Model Standards and Business Rules drive design and build activities and are identified and evaluated as part of Unity Program Governance Model will be formalized as part of the Unity Program during DD (e.g. BPD’s, Build, Testing, ..) focused on SAP (Unity); reviewing and approving standards & rules Governance Roster largely represented by Unity Program Team (business representatives) Data Standard and Business Rule Ownership (business ownership) still transitional Targeted external communication of proposed standards and business rules Project Mode (Design, Build, Test, Deploy) Standards and Business Rules approved and managed as part of the deployed system Governance Model implemented to support deployed sites, pending deployments (and targeted legacy sites) – SAP and non-SAP focus Standards and Business Rules driving Unity benefits (
Some hilarious examples of how a lack of standards and policies can lead to data entry errors. An analogy for Information Management in businesses.
Learn how a Data Governance software platform can help with this:
http://www.datumstrategy.com/data-governance-software-ivm
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!
Data Leadership: How to Beat the Odds in 2016Robyn Bollhorst
Leading analyst firms often cite the success rate of data projects at less than 50%. The problem requires a human solution, not a technical one. Strong leadership at every level is the key to beating the odds. In this session, First Sergeant Matt Eversmann (ret.), recipient of the Bronze Star Medal, memorialized in the epic film Black Hawk Down, and the co-author of The Battle of Mogadishu, will discuss the challenge of leading a team that aligns the needs of the business & their IT counterparts. Critical skills like “leading from the middle” and the value of leadership and followership are outlined to create a lasting atmosphere of success in cross-functional data governance teams.
The Data Management challenges each organization faces are unique in their priority and severity. Therefore the structure and composition of a Data Organization is one of the major success factors for establishing a successful and sustainable data program. In this presentation, we will review the developmental stages of a data organization, the models and the choices for establishing the right structure to the organization in addition to the process for selecting the team members that will produce high-performance business results.
Multi-Tenancy in Data Lakes are on the rise. When looking at multi-tenancy from the lens of data governance, a lot is changing the landscape, and the way we have been operating with respect to the governance model probably needs a rethink. It is time to think of Governance and its various entities as a first-class citizen in data architecture and bake it as part of the platform. We will look at the various aspects of governance, extending to accommodate the growing compliance and regulatory requirements and suggestive architectural approaches to realize the same.
3 Essential Steps to Deliver Information Governance Success Through Strategy ...DATUM LLC
*This presentation was originally delivered at Data Governance and Information Quality Summit 2016.
One consistent best practice for success from digital leaders is to have an information strategy that directly maps to business capabilities and goals. Learn the 3 essential steps for creating that strategy and establishing information leadership. Information success is less about managing and more about leading
5 Steps to Prepare for Digital TransformationDATUM LLC
Download full white paper: http://info.datumstrategy.com/prepare-for-digital-transformation
- Determine and Measure Digital Transformation Readiness
- Build a Digital Core by Establishing a Simple & Scalable Data Governance Framework for Digital Transformation
- Deploy Change Management to Ensure Success
- Leverage Your Tools
- Avoid Common Points of Failure
How JCI Prepared a Data Governance Program for Big Data & MDG on HANADATUM LLC
ASUG Philadelphia Chapter Meeting Presentation by Matthew Vandevere - DATUM
1. How Johnson Controls Mobilized Their Data Governance Program for Big Data & MDG on HANA Matthew Vandevere – DATUM
2. Organizations struggle to balance ERP roll-outs with Data Governance initiatives, but there is a way to integrate deployment activities to achieve maximum value by: establishing a vision for MDG on HANA with proven strategies and tactics for deployment taking advantage of MDG on HANA to drive value in advance of ERP deployment Utilizing platform capabilities to accelerate ERP Implementations LEARNING POINTS
3. About Johnson Controls Today, there are nearly 170,000 employees and many business partners in the Johnson Controls’ family delivering products and services wherever their customers live, work and travel.
4. JCI’s Evolving Strategies Deliberate and explicit choices Company choices v. business unit-only choices Play to win in the markets they choose Data-driven v. supported anecdotes What does JCI want to be?
5. Quick Facts about DATUM • Fast-Growth Solutions Company Recognized by • Recognized by SmartCEO Magazine as a Future 50 rising star • Named Leader in Data Governance 2.0 by Forrester - February 2015 • 70% of ASUG Data Governance 2014 SIG Annual Meeting “Success Stories” are users of our Solutions DATUM Customers
6. The ERP Program Challenge for Data GovernanceInformationTrustworthiness Time ERP Data Readiness Mobilization Point Organization Data Gov. Policy Recognition of Lost ROI The Scramble How Could That Be? We Own It Let’s Start with Data! Migration Degradation Reliability Team Work RISK REDUCTION VALUE CREATION Mobilize Earlier! Typical ERP program activities are inherently designed to focus on the critical data governance requirements until AFTER Go- Live
7. Prioritizing what is Governed Strategic Insights Information Data KPI’s / Measures The foundation of the governance program is set based on the ERP program, but will expand based on the data and information that is most important to the business (processes and analytics)
8. Governance Model Evolution Governance Model Standards and Business Rules drive design and build activities and are identified and evaluated as part of Unity Program Governance Model will be formalized as part of the Unity Program during DD (e.g. BPD’s, Build, Testing, ..) focused on SAP (Unity); reviewing and approving standards & rules Governance Roster largely represented by Unity Program Team (business representatives) Data Standard and Business Rule Ownership (business ownership) still transitional Targeted external communication of proposed standards and business rules Project Mode (Design, Build, Test, Deploy) Standards and Business Rules approved and managed as part of the deployed system Governance Model implemented to support deployed sites, pending deployments (and targeted legacy sites) – SAP and non-SAP focus Standards and Business Rules driving Unity benefits (
Some hilarious examples of how a lack of standards and policies can lead to data entry errors. An analogy for Information Management in businesses.
Learn how a Data Governance software platform can help with this:
http://www.datumstrategy.com/data-governance-software-ivm
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!
Data Leadership: How to Beat the Odds in 2016Robyn Bollhorst
Leading analyst firms often cite the success rate of data projects at less than 50%. The problem requires a human solution, not a technical one. Strong leadership at every level is the key to beating the odds. In this session, First Sergeant Matt Eversmann (ret.), recipient of the Bronze Star Medal, memorialized in the epic film Black Hawk Down, and the co-author of The Battle of Mogadishu, will discuss the challenge of leading a team that aligns the needs of the business & their IT counterparts. Critical skills like “leading from the middle” and the value of leadership and followership are outlined to create a lasting atmosphere of success in cross-functional data governance teams.
The Data Management challenges each organization faces are unique in their priority and severity. Therefore the structure and composition of a Data Organization is one of the major success factors for establishing a successful and sustainable data program. In this presentation, we will review the developmental stages of a data organization, the models and the choices for establishing the right structure to the organization in addition to the process for selecting the team members that will produce high-performance business results.
Multi-Tenancy in Data Lakes are on the rise. When looking at multi-tenancy from the lens of data governance, a lot is changing the landscape, and the way we have been operating with respect to the governance model probably needs a rethink. It is time to think of Governance and its various entities as a first-class citizen in data architecture and bake it as part of the platform. We will look at the various aspects of governance, extending to accommodate the growing compliance and regulatory requirements and suggestive architectural approaches to realize the same.
Join CCG for our Data Governance (DG) Workshop where CCG will introduce their Data Governance methodology and framework that enables organizations to assess DG faster, deriving actionable insights that can be quickly implemented with minimal disruption. CCG will also discuss how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
The Non-Invasive Data Governance FrameworkDATAVERSITY
Data Governance is already taking place in your organization. The actions of defining, producing and using data are not new. People in your organization have, at a minimum, an informal level of accountability for the data they use. The Non-Invasive Data Governance framework provides a method to formalize accountability based on people’s existing responsibilities.
Join Bob Seiner for this month’s installment of his Real-World Data Governance webinar series where he will provide a detailed framework for how to implement a Non-Invasive Data Governance program. This hour will be spent walking through the five most important components of a successful program described from the perspectives of the executive, strategic, tactical and operational levels of your organization.
In the webinar Bob will share:
The graphic for the Non-Invasive Data Governance Framework
A detailed description of the core program components
The importance of viewing the components from different perspectives
A detailed walk-through of each segment of the framework
How to use the framework to implement a successful program
Designed to address more mature programs, this tutorial covers the issues and approaches to sustaining Data Governance and value creation over time, amongst a changing business and personnel environment.
Part of the reason many companies launch a Data Governance program again and again is that over time, it is challenging to maintain the enthusiasm and excitement that accompanies a newly initiated program.
Learn about:
• Typical obstacles to sustainable Data Governance
• Re-energizing your program after a key player (or two) leave and other personnel challenges
• Staying relevant to the company as the business evolves over time
• Understanding the role of metrics and why they are critical
• Leveraging Communication and Stakeholder Management practices to maintain commitment
• Embedding Data Governance into the operations of the company
DAMA Webinar: What Does "Manage Data Assets" Really Mean?DATAVERSITY
For nearly a generation, managers have exhorted their organizations to “manage data as business assets.” But relatively little has happened, perhaps because the logical follow-up question, “what exactly should we do differently?” goes unanswered.
This presentation answers that question. It makes three mutually-reinforcing “prescriptions” and shows how leading companies follow them. Specifically:
1.Take care of the data: Focus on the data with the greatest market potential and improve by at least an order of magnitude.
2.Put the data to work. Use them to make data-driven decisions, to enhance existing products and services, and to find and exploit previously-hidden insights (e.g., analytics and big data).
3.Advance the management system. Today’s organizations can only be described as “unfit for data.” Getting the right people in the right jobs and having all who touch data contribute is essential.
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
Most Common Data Governance Challenges in the Digital EconomyRobyn Bollhorst
Todays’ increasing emphasis on differentiation in the digital economy further complicates the data governance challenge. Learn about today’s common challenges and about the new adaptations that are required to support the digital era. Avoid the pitfalls and follow along on Johnson & Johnson’s journey to:
- Establish and scale a best in class enterprise data governance program
- Identify and focus on the most critical data and information to bolster incremental wins and garner executive support
- Ensure readiness for automation with SAP MDG on HANA
Data Privacy in the DMBOK - No Need to Reinvent the WheelDATAVERSITY
World wide, Data Privacy laws are increasing. Customers are increasingly aware, and concerned, about how data is processed. The Chief Privacy Officer is (or should be) a key stakeholder for many Data Governance initiatives, and new terms like “Privacy by Design” and “Privacy Engineering” are entering our conversations with peers. Non-EU organizations selling into the EU will soon have to comply with EU Data Privacy laws. However, data professionals who take a structured, principles based approach, to building their Data Privacy capabilities stand a better chance of sustainable success than those who don’t. Rather than reinventing the wheel, organizations should look at how the DMBOK framework, in conjunction with other approaches and methods, can provide a robust platform for Data Privacy initiatives in their organizations.
How to Strengthen Enterprise Data Governance with Data QualityDATAVERSITY
If your organization is in a highly-regulated industry – or relies on data for competitive advantage – data governance is undoubtedly a top priority. Whether you’re focused on “defensive” data governance (supporting regulatory compliance and risk management) or “offensive” data governance (extracting the maximum value from your data assets, and minimizing the cost of bad data), data quality plays a critical role in ensuring success.
Join our webinar to learn how enterprise data quality drives stronger data governance, including:
The overlaps between data governance and data quality
The “data” dependencies of data governance – and how data quality addresses them
Key considerations for deploying data quality for data governance
Designing a Successful Governed Citizen Data Science StrategyDATAVERSITY
To compete in today’s digital economy, enterprises require new ways to expand AI across their entire organization. Nearly all firms want to do more with data science, but they don't know where to begin or how to properly empower citizen data scientists to avoid common AI gone wrong accidents.
In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing 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
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
Data Governance in an Agile SCRUM Lean MVP WorldDATAVERSITY
Most of us learned data modeling via a waterfall-driven methodology lens. Yet Agile and other modern development methods have for the most part assumed that data governance is an anti-pattern to just getting things (software) done. Well look at questions such as:
•Are Agile and Data Governance Enemies?
•How can we get stuff done AND get systems delivered?
•And what do we do about existing systems delivered without data governance attention?
We'll also look at how data modeling fits in the answers to these questions.
Building an Effective Data Management StrategyHarley Capewell
In June 2013, Experian hosted a Data
Management Summit in London, with over
100 delegates from the public, private and
third sectors. Speakers from Experian
and across the data industry explored the
challenges of developing and implementing
data quality strategies - and how to
overcome them. Read on for more information.
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
GDPR: Is Your Organization Ready for the General Data Protection Regulation?DATUM LLC
The new European GDPR privacy regulations will significantly impact data governance for multinational companies worldwide. This presentation introduces GDPR, its implications, and a six step process for compliance. In May of 2018 the European Union’s General Data Protection Regulation (GDPR) will go into effect and the fines associated with non-compliance are significant with as much as 4% of global sales.
Data Discovery & Search: Making it an Integral Part of Analytics, Compliance ...DATUM LLC
Gartner Data & Analytics Summit 2017 Learning Lab Presentation:
Discovery is the process of finding what data is available in the enterprise. Digital transformation has made the role of discovery a fundamental building block to establish trusted insights, compliance based solutions and generating greater accessibility of the right data within the enterprise. In this session, Manish Sharma, CTO for DATUM, will explain the critical capabilities of discovery and provide real life examples of DATUM’s Information Value Management Discovery Module in action.
Join CCG for our Data Governance (DG) Workshop where CCG will introduce their Data Governance methodology and framework that enables organizations to assess DG faster, deriving actionable insights that can be quickly implemented with minimal disruption. CCG will also discuss how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
The Non-Invasive Data Governance FrameworkDATAVERSITY
Data Governance is already taking place in your organization. The actions of defining, producing and using data are not new. People in your organization have, at a minimum, an informal level of accountability for the data they use. The Non-Invasive Data Governance framework provides a method to formalize accountability based on people’s existing responsibilities.
Join Bob Seiner for this month’s installment of his Real-World Data Governance webinar series where he will provide a detailed framework for how to implement a Non-Invasive Data Governance program. This hour will be spent walking through the five most important components of a successful program described from the perspectives of the executive, strategic, tactical and operational levels of your organization.
In the webinar Bob will share:
The graphic for the Non-Invasive Data Governance Framework
A detailed description of the core program components
The importance of viewing the components from different perspectives
A detailed walk-through of each segment of the framework
How to use the framework to implement a successful program
Designed to address more mature programs, this tutorial covers the issues and approaches to sustaining Data Governance and value creation over time, amongst a changing business and personnel environment.
Part of the reason many companies launch a Data Governance program again and again is that over time, it is challenging to maintain the enthusiasm and excitement that accompanies a newly initiated program.
Learn about:
• Typical obstacles to sustainable Data Governance
• Re-energizing your program after a key player (or two) leave and other personnel challenges
• Staying relevant to the company as the business evolves over time
• Understanding the role of metrics and why they are critical
• Leveraging Communication and Stakeholder Management practices to maintain commitment
• Embedding Data Governance into the operations of the company
DAMA Webinar: What Does "Manage Data Assets" Really Mean?DATAVERSITY
For nearly a generation, managers have exhorted their organizations to “manage data as business assets.” But relatively little has happened, perhaps because the logical follow-up question, “what exactly should we do differently?” goes unanswered.
This presentation answers that question. It makes three mutually-reinforcing “prescriptions” and shows how leading companies follow them. Specifically:
1.Take care of the data: Focus on the data with the greatest market potential and improve by at least an order of magnitude.
2.Put the data to work. Use them to make data-driven decisions, to enhance existing products and services, and to find and exploit previously-hidden insights (e.g., analytics and big data).
3.Advance the management system. Today’s organizations can only be described as “unfit for data.” Getting the right people in the right jobs and having all who touch data contribute is essential.
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
Most Common Data Governance Challenges in the Digital EconomyRobyn Bollhorst
Todays’ increasing emphasis on differentiation in the digital economy further complicates the data governance challenge. Learn about today’s common challenges and about the new adaptations that are required to support the digital era. Avoid the pitfalls and follow along on Johnson & Johnson’s journey to:
- Establish and scale a best in class enterprise data governance program
- Identify and focus on the most critical data and information to bolster incremental wins and garner executive support
- Ensure readiness for automation with SAP MDG on HANA
Data Privacy in the DMBOK - No Need to Reinvent the WheelDATAVERSITY
World wide, Data Privacy laws are increasing. Customers are increasingly aware, and concerned, about how data is processed. The Chief Privacy Officer is (or should be) a key stakeholder for many Data Governance initiatives, and new terms like “Privacy by Design” and “Privacy Engineering” are entering our conversations with peers. Non-EU organizations selling into the EU will soon have to comply with EU Data Privacy laws. However, data professionals who take a structured, principles based approach, to building their Data Privacy capabilities stand a better chance of sustainable success than those who don’t. Rather than reinventing the wheel, organizations should look at how the DMBOK framework, in conjunction with other approaches and methods, can provide a robust platform for Data Privacy initiatives in their organizations.
How to Strengthen Enterprise Data Governance with Data QualityDATAVERSITY
If your organization is in a highly-regulated industry – or relies on data for competitive advantage – data governance is undoubtedly a top priority. Whether you’re focused on “defensive” data governance (supporting regulatory compliance and risk management) or “offensive” data governance (extracting the maximum value from your data assets, and minimizing the cost of bad data), data quality plays a critical role in ensuring success.
Join our webinar to learn how enterprise data quality drives stronger data governance, including:
The overlaps between data governance and data quality
The “data” dependencies of data governance – and how data quality addresses them
Key considerations for deploying data quality for data governance
Designing a Successful Governed Citizen Data Science StrategyDATAVERSITY
To compete in today’s digital economy, enterprises require new ways to expand AI across their entire organization. Nearly all firms want to do more with data science, but they don't know where to begin or how to properly empower citizen data scientists to avoid common AI gone wrong accidents.
In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing 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
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
Data Governance in an Agile SCRUM Lean MVP WorldDATAVERSITY
Most of us learned data modeling via a waterfall-driven methodology lens. Yet Agile and other modern development methods have for the most part assumed that data governance is an anti-pattern to just getting things (software) done. Well look at questions such as:
•Are Agile and Data Governance Enemies?
•How can we get stuff done AND get systems delivered?
•And what do we do about existing systems delivered without data governance attention?
We'll also look at how data modeling fits in the answers to these questions.
Building an Effective Data Management StrategyHarley Capewell
In June 2013, Experian hosted a Data
Management Summit in London, with over
100 delegates from the public, private and
third sectors. Speakers from Experian
and across the data industry explored the
challenges of developing and implementing
data quality strategies - and how to
overcome them. Read on for more information.
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
GDPR: Is Your Organization Ready for the General Data Protection Regulation?DATUM LLC
The new European GDPR privacy regulations will significantly impact data governance for multinational companies worldwide. This presentation introduces GDPR, its implications, and a six step process for compliance. In May of 2018 the European Union’s General Data Protection Regulation (GDPR) will go into effect and the fines associated with non-compliance are significant with as much as 4% of global sales.
Data Discovery & Search: Making it an Integral Part of Analytics, Compliance ...DATUM LLC
Gartner Data & Analytics Summit 2017 Learning Lab Presentation:
Discovery is the process of finding what data is available in the enterprise. Digital transformation has made the role of discovery a fundamental building block to establish trusted insights, compliance based solutions and generating greater accessibility of the right data within the enterprise. In this session, Manish Sharma, CTO for DATUM, will explain the critical capabilities of discovery and provide real life examples of DATUM’s Information Value Management Discovery Module in action.
How to use Latent Semantic Analysis to Glean Real Insight - Franco AmalfiSocial Media Camp
Latent Semantic Analysis (LSA) is an advanced form of statistical language modeling that cuts through the noise to expose contextual meaning, and is a key feature of Oracle Social Relationship Management platform.
Come and learn how LSA delivers more accurate,contextualized, precise and relevant insights. Oracle SRM listening capabilities go well beyond keyword and Boolean searches to reveal insights like consumer intent, political intent, product likes/dislikes, and customer service issues.
Fast Data Overview for Data Science Maryland MeetupC. Scyphers
An overview of Open Source Fast Data platforms (Spark, Kafka, HBase, Impala, Apex, H20, Druid, Flink, Storm, Samza, ElasticSearch, Lucene, Solr, SMACK, PANCAKE)
HADR Best Practices (High Availability Disaster Recovery)Rocket Software
Learn from the many HADR implementations where Rocket has assisted! Best Practices for stability, replication, emergency failover, maintenance and many other uses will be presented.
#IBMInterConnect - DCB-3094 Scaling Agile - Launching an Agile Release Train ...Reedy Feggins Jr
In this talk we discuss some of the best practices we have learned for successfully Launching an ART. We discuss how Rational Team Concert (#RTC) can be used to help coordinate the various team activities such as use story analysis, portfolio program and sprint planning, and communicating with the PPM, Agile program and team.
The presentation is from the 2015 #ibminterconnect Conference #feggreed2021
DCB-3094 Scaling Agile Launching a SAFe Agile Release Train using Rational Team Concert – Lesson Learned
Application Lifecycle Management for Multivalue CustomersRocket Software
In this presentation, you will learn about Rocket ALM Solutions. We will cover the reasons that successful software developers implement comprehensive ALM solutions, the features that such a solution should provide, and the capabilities that Rocket ALM solutions offer to Rocket MV customers.
Nick Fleetwood, Head of Financial Services, Oracle’s Maxymiser - Optimization...Mezzo Labs
Nick Fleetwood, Head of Financial Services at Oracle’s Maxymiser, gave this presentation at Mezzo Labs' "GAWA8: This Time it’s Personal: the Future of Marketing in Financial Services" event in November 2015.
Powerup performance of Informatica Environment Nov 5, 2015Wise Men
Introductions
Wise Men Overview
Data Integration Performance Challenges
Effect Of Poor Performance On The Organization
What are the Sources of The Problem ?
Various Best Practices
Case Studies
Summary
Q & A
by Wolfgang Krips, Senior Vice President of Global Infrastructure Operations of SAP at the Lean Summit 2010, New Horizons for Lean Thinking on 2/3 November 2010
This webinar features two IT4IT™ experts: Jim Hietala, VP Business Development at The Open Group and Michael Fulton, President Americas Division of CC and C Solutions, co-chair IT4IT Adoption Workgroup and Lead Author ITpreneurs IT4IT courseware.
Training and consulting providers looking to help your clients improve IT efficiency will enjoy this webinar. You will:
-Gain insight on how IT4IT serves the digital enterprise
-Discover its relation with Cloud, Agile, and DevOps
-Learn how it complements TOGAF®, Archimate® and ITIL®
-Find out what the training opportunities are for IT4IT
The Open Group IT4IT Reference Architecture provides prescriptive guidance on how to design, procure and implement the functionality needed to run IT. The training content of IT4IT will be available for licensing in the ITpreneurs courseware soon.
This talk was first given at Code Mash 2019. It covers some of the aspects of how data management changes in the microservices world but also how data management has changed over time and where we have reinvented the wheel with failed attempts to change how we store and organize data.
Parts of this presentation is about to remind us that certain ways of doing things we had before and we are about to repeat the same mistakes.
Parts of this presentation is about common sense applied when dealing with data. The data tier cannot just be ignored or neglected when building new systems, data is the only thing that will still be there long when the applications or system on top has evolved. It's therefore crucial to make smart choices, based on actual requirements and business asks how to store and manage our data, rather than basing the decision on hyped technologies ranking high on Hackernews the last week.
Parts of the presentation is about capabilities that we already have since a long time in databases and that you might not know about. These are pointed out as potentially complimentary to your application architectures. It is again up to you to apply _your_ business requirements and common sense whether these capabilities solve your problem or not.
Note that this presentation is intended as visual aid for a talk. Parts of this presentation may be meaningless or wrongly intended without having the context that was given by me.
Presumption of Abundance: Architecting the Future of SuccessInside Analysis
Hot Technologies with Dr. Claudia Imhoff, Dr. Robin Bloor and SAS
Live Webcast on Jan. 14, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=9431631f43a8c7561f2ba996750a4612
When resources are scarce, organizations focus heavily on keeping processes intact and costs down. The result is often a cycle of decisions that hinders development and ultimately leads to zero innovation. But these days, the market is teeming with game-changing solutions with more attractive price points, paving the way toward a new mindset and an era of abundance.
Register for this episode of Hot Technologies to learn from veteran Analysts Claudia Imhoff and Robin Bloor as they discuss how the proliferation of data and analytics is forcing the enterprise to rethink and redesign its architecture. They’ll be briefed by Gary Spakes of SAS, who will explain his company’s approach to Big Data analytics. He will show how disruptive technologies like Hadoop can give organizations the scalability and reliability they need, and at the same time boost data discovery, analytic innovation and time-to-value.
Visit InsideAnalysis.com for more information.
Accelerate Project Management Visibility and Control in the Public SectorInnovative-e
Mike Taylor, President of Innovative-e, and Scott Chapman, President of Project Hosts, presented a 1-hour webinar on Project Management On Your Terms (PMOYT) for the Public Sector, a complete public sector solution created specifically for agencies that are struggling with managing projects effectively. Our approach will illustrate how to accelerate agility, adoption and control with a three-step approach that will help customers:
Increase business agility
Shorten deployment times
Lower security and downtime risks
Lower operational and support costs
A description of what REST is and is not useful for followed by a walkthrough of how to use REST API's to access Informix databases. Includes new features released for Informix 12.10xC7
Similar to Data Leadership Lessons From Black Hawk Down (20)
The Merger is Happening, Now What Do We Do?DATUM LLC
This was presented on October 24, 2018 at the ASUG EIM Conference. One of the many challenges presented by an acquisition and divestiture event is unifying disparate data and integrating systems together. If you are leading an integration, you may have more questions than answers on how to approach this event. Learn how to best leverage the momentum and budgets that accompany these activities to jump start good governance practices up front, as well as how to measure the return on investment, ensuring data and EIM professionals' ongoing success.
DGIQ 2018 Presentation: How to be successful in the post GDPR landscape – bui...DATUM LLC
This was presented on June 13, 2018 at the DGIQ Conference. May 25th isn’t the end of a journey, it’s really just the beginning. GDPR is one piece of the compliance puzzle. One of the most important things to remember about GDPR is that it’s not a one off compliance effort. It is a continuous process that will need to be continually evaluated and evolved over time. In order to be successful long term, a strategy must be built across all functions in the organization. Join us to learn how to build a strategy that will help you identify and link GDPR related processes, rules, standards and metrics to your organization's compliance goals and objectives to meet the new regulatory landscape. In this session, Jonathan will highlight how to develop processes and controls to build a strategy that ensure that the information being utilized is compliant, accessible, and manageable.
DGIQ 2018 Presentation: A Lawyer, a Salesperson and the Operations Guy Walk ...DATUM LLC
This presentation was delivered on June 12, 2018 at the DGIQ Conference. The purpose of data analytics is not generating data sets but providing proprietary insights into your company and your industry for a competitive advantage. The true value of the data depends on the context and can be different for each business unit. In today’s big data world, CDOs and CIOs are part of the customer-facing revenue generation equation – bringing new roles with new challenges that require a greater understanding of both legal constraints and business requirements. Effective implementation requires a multi-disciplinary approach that integrates the triad of IT, marketing and legal. A multi-disciplinary approach drives value to the organization’s different business objectives, and controls regulatory compliance risk and optimizes operations. This session will discuss the perspectives of business, legal and IT, and propose steps to building out the integrated approach.
7 Key GDPR Requirements & the Role of Data GovernanceDATUM LLC
GDPR is less than a year away. How is your organization making sure it will avoid penalties, fines and punishments? All organizations need to familiarize themselves with the new GDPR requirements and data subject rights as the first step to preventing fines and penalties. This presentation will look at the key requirements of GDPR and certain “best practices” approaches towards company-wide compliance. This presentation was given by Jonathan Adams, Research Director, at the MDM & Data Governance Summit on October 12, 2017 in New York City.
Six Steps to Addressing Data Governance under GDPR and US Privacy Shield Regu...DATUM LLC
In May of 2018 the European Union’s General Data Protection Regulation (GDPR) will go into effect and organizations seeking to be ready by the deadline will need to move quickly. There are a multitude of considerations: policies, marketing programs, systems, operations and the overall information architecture. This session provides a primer on GDPR, the required data management capabilities, and how governance will need to evolve for compliance.
Business KPIs & Data Governance: A Sweet Combination for HersheyDATUM LLC
Culture is king at the almost 125 year old Hershey Company. So activating the corporate change needed to make data governance successful and sustainable required a tangible connection to business initiatives. Learn how the Hershey's data team was able to connect product traceability to governance efforts to provide the catalyst for value-driven data policies.
5 Steps to Prepare for Digital Transformation & Real-Time Analytics DATUM LLC
"5 Steps to Prepare for Digital Transformation"
Speaker: David Woods
Abstract: The best time to plant a tree is 20 years ago, the second-best time is right now. In today's digital landscape, it is ideal to proactively plan and prepare for digitization by leveraging a staged approach. Completing the steps along the journey to real-time analytics will deliver tangible business outcomes that you can benefit from now. In this session, we describe the five ways to prepare your enterprise and why you should act now.
Visualize & Simplify the S/4HANA Preparation Process with this Slide Deck
Learn how to:
- Determine and Measure S/4HANA Readiness
- Build a Digital Core by Establishing a Simple & Scalable Data - Governance Framework for S/4HANA
- Deploy Change Management to Ensure Success
- Leverage Your Tools
- Avoid Common Points of Failure
14 Shocking Digital Transformation & Digital Economy StatisticsDATUM LLC
Read these 14 statistics to gain insight into what the digital economy is becoming and why digital transformation is so important.
These statistics help demonstrate how complex the digital economy is becoming and why we are passionate about simplifying enterprises’ data challenges. We help enterprises develop a sustainable data governance model through our software solution Information Value Management®.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.