IOT Collaborative - Digital Innovation – Strategy, Process and Governance
November 1, 2018
Ray Henry
Ahuja College of Business
Cleveland State University
BI: How Can Your High-Performance BI System Meet Expectations When You Feed I...Ray Mcglew
Many BI projects fail, some because of data issues. Using Data Governance and associated skills such as Master Data Management and Data Stewardship can help improve your information and projects.
Houston Technology Center presentation by SHMsoft. eDiscovery, data governance, and compliance vision that can be build on Hadoop clusters and public or private clouds.
My keynote speech at the ISACA IIA Belgium software watch day in October 2014 in Brussels on the value of big data and data analytics for auditors and other assurance professionals
Thanks to wiki leaks, the NSA and intense regulatory environments, metadata is now a common term. What is the role of the Top Data Job and what are the options to deploy an effective metadata environment. John will explore some new avenues and lessons learned for metadata.
In this webinar, we will discuss:
Metadata Architectures
Metadata Types and Categories
Trends in Metadata Technology
The CDO’s role in the Metadata Function
Enterprise integration Data Resource considerationPraveen Pandey
Enterprise Integration Series, where we are focusing on Data Integration Strategies, Integration Methods, Challenges, Handling Challenges, Data Governance, Data Stewardship.
Challenges & Opportunities in Managing Cyber RisksAnna Gomez
• Outline the resource, technology, awareness and financial
challenges among small and medium providers to handle
emerging security risks and ransomware attacks
• Explore potential opportunities to help small, medium and
even large healthcare providers especially from efficient
management of cyber risk program
• Call for an active participation by the board members and
audit compliance committees in raising the support and
investment required for cybersecurity programs
• Highlight key recommendations from the National
Cybersecurity Taskforce formed by the Department of Health
and Human Services
BI: How Can Your High-Performance BI System Meet Expectations When You Feed I...Ray Mcglew
Many BI projects fail, some because of data issues. Using Data Governance and associated skills such as Master Data Management and Data Stewardship can help improve your information and projects.
Houston Technology Center presentation by SHMsoft. eDiscovery, data governance, and compliance vision that can be build on Hadoop clusters and public or private clouds.
My keynote speech at the ISACA IIA Belgium software watch day in October 2014 in Brussels on the value of big data and data analytics for auditors and other assurance professionals
Thanks to wiki leaks, the NSA and intense regulatory environments, metadata is now a common term. What is the role of the Top Data Job and what are the options to deploy an effective metadata environment. John will explore some new avenues and lessons learned for metadata.
In this webinar, we will discuss:
Metadata Architectures
Metadata Types and Categories
Trends in Metadata Technology
The CDO’s role in the Metadata Function
Enterprise integration Data Resource considerationPraveen Pandey
Enterprise Integration Series, where we are focusing on Data Integration Strategies, Integration Methods, Challenges, Handling Challenges, Data Governance, Data Stewardship.
Challenges & Opportunities in Managing Cyber RisksAnna Gomez
• Outline the resource, technology, awareness and financial
challenges among small and medium providers to handle
emerging security risks and ransomware attacks
• Explore potential opportunities to help small, medium and
even large healthcare providers especially from efficient
management of cyber risk program
• Call for an active participation by the board members and
audit compliance committees in raising the support and
investment required for cybersecurity programs
• Highlight key recommendations from the National
Cybersecurity Taskforce formed by the Department of Health
and Human Services
Data & The Machine Summit on self-service analytics about the application of data and machine learning across the enterprise.
58% of Fortune 500 companies report conflict between data scientists and data security & compliance teams due to access restrictions. Learn more about how complying with privacy regulations in cloud environments, and how data governance is transforming from dictated to decentralized to delegated.
Data governance and data quality are often described as two sides of the same coin. Data governance provides a data framework relevant to business needs, and data quality provides visibility into the health of the data. If you only have a data governance tool, you’re missing half the picture.
Trillium Discovery seamlessly integrates with Collibra for a complete, closed-loop data governance solution. Build your data quality rules in Collibra, and they are automatically passed to Trillium for data quality processing. The data quality results and metrics are then passed back to Collibra – allowing data stewards and business users to see the health of the data right within their Collibra dashboard.
View this webinar on-demand to see how you can leverage this integration in your organization to readily build, apply, and execute business rules based on data governance policies within Collibra.
This presentation by Learning Ninja's Sean Putman highlights the need to consider a data strategy before developing xAPI enabled learning content. Sean shares his experience with defining what needs to be tracked keeping value and end metrics in mind.
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.
Most of the attention around Analytics goes to the results of the Analytics activity - a better customer profile, a new target market, more efficient product design. What about the process and infrastructure that is needed to get the data to the point in which it is useful to the Analytics community? This presentation addresses the less glamorous, but critically important side of Analytics: the people, process and technology infrastructure that enable an analytics-driven organization.
The presentation will cover these questions:
• How do you align your information assets to your Analytics goals? What data do you need and where do you find it?
• What are the organizational constructs that need to be considered to integrate Data Governance and Analytics?
• What organizational change can be anticipated and how should it be addressed?
• How do you design your data management and data governance programs to support Analytics? How is this different than an operational use case?
This slide deck is drawn from a tutorial presented jointly with Samra Sulaiman of ConsultData at Enterprise Dataversity 2015.
Data governance course - part 1.
Data Governance is the orchestration of people, process and technology
to enable an organization to leverage data as an enterprise asset.
The core objectives of a governance program are:
Guide information management decision-making
Ensure information is consistently defined and well understood
Increase the use and trust of data as an enterprise asset
Objectives of this presentation :
Introduction to data governance
• Why data governance discussion today : the enterprise challenges
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.
Helen Patton - Governing Big Data: Security, Privacy & Data ManagementRehgan Avon
2018 Women in Analytics Conference
https://www.womeninanalytics.org/
Explore the different roles which contribute to managing the big data environment in a company, including Data Officers, Privacy Officers, and Security. Understand how they work together, overlap, and differ from each other. Learn their common challenges and unique value propositions.
Building an effective Information Security RoadmapElliott Franklin
As company information security functions continue to grow each year with increasing attacks and regulations, how are you handling the
pressure? Are you constantly battling to run the business projects and reacting to customer requests? Have you blocked off a few hours each week
on your calendar to close your email, turn off your phone and try to build, assess and maintain an effective vision for your security team? This
presentation will discuss a cascading approach to creating such a roadmap that is easily understood by executives and has helped gain quick buy
in for multiple enterprise wide security projects.
In today's competitive market, many organizations are unaware of the quantity of poor-quality data in their systems. Some organizations assume that their data is of adequate quality, although they have conducted no metrical or statistical analysis to support the assumption. Others know that their performance is hampered by poor-quality data, but they cannot measure the problem.
Stop the madness - Never doubt the quality of BI again using Data GovernanceMary Levins, PMP
Does this sound familiar? "Are you sure those numbers are right?" "Why are your numbers different than theirs?"
We've all heard it and had that gut wrenching feeling of doubt that comes with uncertainty around the quality of the numbers.
Stop the madness! Presented in Dunwoody on April 18 by industry leading expert Mary Levins who discusseses what it takes to successfully take control of your data using the Data Governance Framework. This framework is proven to improve the quality of your BI solutions.
Mary is the founder of Sierra Creek Consulting
Enterprise search, once a hot topic, now faces new challenges with the adoption of hybrid and cloud environments. In SharePoint and Office 365, search isn’t equal, and before jumping on the Office 365 band wagon, organizations need to know as much as they can about potential challenges and pitfalls. Even in a SharePoint stand-alone environment, the consumption of content is forcing a renewed look at security, information lifecycle management, and non-compliance. Join us on Tuesday, October 28th, at 11:30am – 12:30pm EDT for this webinar packed with information on how to address search issues in SharePoint stand-alone, Office 365 hybrid, or cloud-only environments.
If you’re not sure how you would answer any of the below questions below, then this webinar is for you:.
• Does an enterprise search engine that provides the same transparency both on-premise and in the cloud matter to you? Does it matter to your users?
• With the huge push for Office 365, is enterprise search getting lost?
• Will the announcement of Delve push you over the edge in adopting Office 365? Why?
• What about managing content in the cloud? Do you have any reservations about security,or records, and what your users are doing in the cloud? (Bet you’ll be surprised.)
• What about migration? What goes where?
• How will you know what’s on your users’ OneDrives? Is DLP enough?
• Is your SharePoint search good enough? Have you calculated the ROI you can gain by improving it?
• How are you going to manage the ever increasing consumption of organizational content?
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
Transform Your Downstream Cloud Analytics with Data Quality Precisely
Untrustworthy results or inaccurate insights from ML, AI, and advanced analytics systems were due to a lack of quality in the data as reported by nearly half of respondents to Precisely’s Enterprise Data Quality survey. Are you ready to improve your trust in the data your organization is using in the cloud for business decision-making?
Register now to learn how to take the first steps to high-quality data in the cloud by better understanding your data through profiling.
During this on-demand webinar, we will explore key topics such as:
• The five key steps to effective data profiling
• How profiling informs your next steps to deliver quality data to the cloud
• How Precisely customers have elevated marketing and customer service results by focusing on data quality
Data & The Machine Summit on self-service analytics about the application of data and machine learning across the enterprise.
58% of Fortune 500 companies report conflict between data scientists and data security & compliance teams due to access restrictions. Learn more about how complying with privacy regulations in cloud environments, and how data governance is transforming from dictated to decentralized to delegated.
Data governance and data quality are often described as two sides of the same coin. Data governance provides a data framework relevant to business needs, and data quality provides visibility into the health of the data. If you only have a data governance tool, you’re missing half the picture.
Trillium Discovery seamlessly integrates with Collibra for a complete, closed-loop data governance solution. Build your data quality rules in Collibra, and they are automatically passed to Trillium for data quality processing. The data quality results and metrics are then passed back to Collibra – allowing data stewards and business users to see the health of the data right within their Collibra dashboard.
View this webinar on-demand to see how you can leverage this integration in your organization to readily build, apply, and execute business rules based on data governance policies within Collibra.
This presentation by Learning Ninja's Sean Putman highlights the need to consider a data strategy before developing xAPI enabled learning content. Sean shares his experience with defining what needs to be tracked keeping value and end metrics in mind.
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.
Most of the attention around Analytics goes to the results of the Analytics activity - a better customer profile, a new target market, more efficient product design. What about the process and infrastructure that is needed to get the data to the point in which it is useful to the Analytics community? This presentation addresses the less glamorous, but critically important side of Analytics: the people, process and technology infrastructure that enable an analytics-driven organization.
The presentation will cover these questions:
• How do you align your information assets to your Analytics goals? What data do you need and where do you find it?
• What are the organizational constructs that need to be considered to integrate Data Governance and Analytics?
• What organizational change can be anticipated and how should it be addressed?
• How do you design your data management and data governance programs to support Analytics? How is this different than an operational use case?
This slide deck is drawn from a tutorial presented jointly with Samra Sulaiman of ConsultData at Enterprise Dataversity 2015.
Data governance course - part 1.
Data Governance is the orchestration of people, process and technology
to enable an organization to leverage data as an enterprise asset.
The core objectives of a governance program are:
Guide information management decision-making
Ensure information is consistently defined and well understood
Increase the use and trust of data as an enterprise asset
Objectives of this presentation :
Introduction to data governance
• Why data governance discussion today : the enterprise challenges
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.
Helen Patton - Governing Big Data: Security, Privacy & Data ManagementRehgan Avon
2018 Women in Analytics Conference
https://www.womeninanalytics.org/
Explore the different roles which contribute to managing the big data environment in a company, including Data Officers, Privacy Officers, and Security. Understand how they work together, overlap, and differ from each other. Learn their common challenges and unique value propositions.
Building an effective Information Security RoadmapElliott Franklin
As company information security functions continue to grow each year with increasing attacks and regulations, how are you handling the
pressure? Are you constantly battling to run the business projects and reacting to customer requests? Have you blocked off a few hours each week
on your calendar to close your email, turn off your phone and try to build, assess and maintain an effective vision for your security team? This
presentation will discuss a cascading approach to creating such a roadmap that is easily understood by executives and has helped gain quick buy
in for multiple enterprise wide security projects.
In today's competitive market, many organizations are unaware of the quantity of poor-quality data in their systems. Some organizations assume that their data is of adequate quality, although they have conducted no metrical or statistical analysis to support the assumption. Others know that their performance is hampered by poor-quality data, but they cannot measure the problem.
Stop the madness - Never doubt the quality of BI again using Data GovernanceMary Levins, PMP
Does this sound familiar? "Are you sure those numbers are right?" "Why are your numbers different than theirs?"
We've all heard it and had that gut wrenching feeling of doubt that comes with uncertainty around the quality of the numbers.
Stop the madness! Presented in Dunwoody on April 18 by industry leading expert Mary Levins who discusseses what it takes to successfully take control of your data using the Data Governance Framework. This framework is proven to improve the quality of your BI solutions.
Mary is the founder of Sierra Creek Consulting
Enterprise search, once a hot topic, now faces new challenges with the adoption of hybrid and cloud environments. In SharePoint and Office 365, search isn’t equal, and before jumping on the Office 365 band wagon, organizations need to know as much as they can about potential challenges and pitfalls. Even in a SharePoint stand-alone environment, the consumption of content is forcing a renewed look at security, information lifecycle management, and non-compliance. Join us on Tuesday, October 28th, at 11:30am – 12:30pm EDT for this webinar packed with information on how to address search issues in SharePoint stand-alone, Office 365 hybrid, or cloud-only environments.
If you’re not sure how you would answer any of the below questions below, then this webinar is for you:.
• Does an enterprise search engine that provides the same transparency both on-premise and in the cloud matter to you? Does it matter to your users?
• With the huge push for Office 365, is enterprise search getting lost?
• Will the announcement of Delve push you over the edge in adopting Office 365? Why?
• What about managing content in the cloud? Do you have any reservations about security,or records, and what your users are doing in the cloud? (Bet you’ll be surprised.)
• What about migration? What goes where?
• How will you know what’s on your users’ OneDrives? Is DLP enough?
• Is your SharePoint search good enough? Have you calculated the ROI you can gain by improving it?
• How are you going to manage the ever increasing consumption of organizational content?
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
Transform Your Downstream Cloud Analytics with Data Quality Precisely
Untrustworthy results or inaccurate insights from ML, AI, and advanced analytics systems were due to a lack of quality in the data as reported by nearly half of respondents to Precisely’s Enterprise Data Quality survey. Are you ready to improve your trust in the data your organization is using in the cloud for business decision-making?
Register now to learn how to take the first steps to high-quality data in the cloud by better understanding your data through profiling.
During this on-demand webinar, we will explore key topics such as:
• The five key steps to effective data profiling
• How profiling informs your next steps to deliver quality data to the cloud
• How Precisely customers have elevated marketing and customer service results by focusing on data quality
Data Governance: Business First, Govern AlwayPrecisely
Data Governance requires a strong foundation and commitment to make it work, from understanding a business’ needs first before implementing a future proof governance policy. In this presentation for the CDO/CIO Sit-Down series, Melvin Cheong explores the key components that are necessary to build a sustainable program and a fully functional data integrity framework for long-term engagement within your organisation.
Data Governance: From speed dating to lifelong partnershipPrecisely
Data Governance, like a relationship, requires a strong foundation and commitment to make it work. In this presentation, Esther Lim, Sales Engineering Manager, explores the main reasons why Data Governance initiatives fail and the key components that are necessary to build a sustainable program with long-term engagement within your organization.
The case study discusses the potential of drone delivery and the challenges that need to be addressed before it becomes widespread.
Key takeaways:
Drone delivery is in its early stages: Amazon's trial in the UK demonstrates the potential for faster deliveries, but it's still limited by regulations and technology.
Regulations are a major hurdle: Safety concerns around drone collisions with airplanes and people have led to restrictions on flight height and location.
Other challenges exist: Who will use drone delivery the most? Is it cost-effective compared to traditional delivery trucks?
Discussion questions:
Managerial challenges: Integrating drones requires planning for new infrastructure, training staff, and navigating regulations. There are also marketing and recruitment considerations specific to this technology.
External forces vary by country: Regulations, consumer acceptance, and infrastructure all differ between countries.
Demographics matter: Younger generations might be more receptive to drone delivery, while older populations might have concerns.
Stakeholders for Amazon: Customers, regulators, aviation authorities, and competitors are all stakeholders. Regulators likely hold the greatest influence as they determine the feasibility of drone delivery.
Senior Project and Engineering Leader Jim Smith.pdfJim Smith
I am a Project and Engineering Leader with extensive experience as a Business Operations Leader, Technical Project Manager, Engineering Manager and Operations Experience for Domestic and International companies such as Electrolux, Carrier, and Deutz. I have developed new products using Stage Gate development/MS Project/JIRA, for the pro-duction of Medical Equipment, Large Commercial Refrigeration Systems, Appliances, HVAC, and Diesel engines.
My experience includes:
Managed customized engineered refrigeration system projects with high voltage power panels from quote to ship, coordinating actions between electrical engineering, mechanical design and application engineering, purchasing, production, test, quality assurance and field installation. Managed projects $25k to $1M per project; 4-8 per month. (Hussmann refrigeration)
Successfully developed the $15-20M yearly corporate capital strategy for manufacturing, with the Executive Team and key stakeholders. Created project scope and specifications, business case, ROI, managed project plans with key personnel for nine consumer product manufacturing and distribution sites; to support the company’s strategic sales plan.
Over 15 years of experience managing and developing cost improvement projects with key Stakeholders, site Manufacturing Engineers, Mechanical Engineers, Maintenance, and facility support personnel to optimize pro-duction operations, safety, EHS, and new product development. (BioLab, Deutz, Caire)
Experience working as a Technical Manager developing new products with chemical engineers and packaging engineers to enhance and reduce the cost of retail products. I have led the activities of multiple engineering groups with diverse backgrounds.
Great experience managing the product development of products which utilize complex electrical controls, high voltage power panels, product testing, and commissioning.
Created project scope, business case, ROI for multiple capital projects to support electrotechnical assembly and CPG goods. Identified project cost, risk, success criteria, and performed equipment qualifications. (Carrier, Electrolux, Biolab, Price, Hussmann)
Created detailed projects plans using MS Project, Gant charts in excel, and updated new product development in Jira for stakeholders and project team members including critical path.
Great knowledge of ISO9001, NFPA, OSHA regulations.
User level knowledge of MRP/SAP, MS Project, Powerpoint, Visio, Mastercontrol, JIRA, Power BI and Tableau.
I appreciate your consideration, and look forward to discussing this role with you, and how I can lead your company’s growth and profitability. I can be contacted via LinkedIn via phone or E Mail.
Jim Smith
678-993-7195
jimsmith30024@gmail.com
The Team Member and Guest Experience - Lead and Take Care of your restaurant team. They are the people closest to and delivering Hospitality to your paying Guests!
Make the call, and we can assist you.
408-784-7371
Foodservice Consulting + Design
Oprah Winfrey: A Leader in Media, Philanthropy, and Empowerment | CIO Women M...CIOWomenMagazine
This person is none other than Oprah Winfrey, a highly influential figure whose impact extends beyond television. This article will delve into the remarkable life and lasting legacy of Oprah. Her story serves as a reminder of the importance of perseverance, compassion, and firm determination.
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
1. IoT and Data Governance
Ray Henry
Department of Information Systems
Cleveland State University
2.
3.
4. Governance
• Ensures that stakeholder needs, conditions and options
are evaluated to determine balanced, agreed-on
enterprise objectives to be achieved
– setting direction
– prioritization
– decision making
– monitoring performance and compliance
8. Domains of Data
Governance
Data Principles
Role of data as an asset
Data Quality
Requirements for data
quality
Data Lifecycle
Retention and
retirement
Meta Data
Semantics and data definition
Data Access
Requirements for data access and
security
9. Asking the Right
Questions
• Who owns the data?
• How do we ensure data quality, discovery, usability and security for the
many different teams and business units that create, use and manage the
data?
• What are the key business questions and goals that are driving what data
we collect and use?
• How do we manage ad hoc data analytics? Do we restrict it or encourage
it?
10. IoT Data Governance
Pitfalls
• Not considering all stakeholders needs
• Underestimating security and privacy implications
• Too much or too little control