Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
Becoming a Data-Driven Organization - Aligning Business & Data StrategyDATAVERSITY
More organizations are aspiring to become ‘data driven businesses’. But all too often this aim fails, as business goals and IT & data realities are misaligned, with IT lagging behind rapidly changing business needs. So how do you get the perfect fit where data strategy is driven by and underpins business strategy? This webinar will show you how by de-mystifying the building blocks of a global data strategy and highlighting a number of real world success stories. Topics include:
•How to align data strategy with business motivation and drivers
•Why business & data strategies often become misaligned & the impact
•Defining the core building blocks of a successful data strategy
•The role of business and IT
•Success stories in implementing global data strategies
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
Would you share your bank account information on social media? How about shouting your social security number on the New York City subway? We didn’t think so either – that’s why data governance is consistently top of mind.
In this webinar, we’ll discuss the common Cloud data governance best practices – and how to apply them today. Join us to uncover Google Cloud’s investment in data governance and learn practical and doable methods around key management and confidential computing. Hear real customer experiences and leave with insights that you can share with your team. Let’s get solving.
Topics that you will hear addressed in this webinar:
- Understanding the basics of Cloud Incident Response (IR) and anticipated data governance trends
- Best practices for key management and apply data governance to your day-to-day
- The next wave of Confidential Computing and how to get started, including a demo
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
Business Strategy Presentation Template 2023 - By ex-Mckinsey and BCG consult...Slideworks
A comprehensive, end-to-end strategy presentation template based on proven frameworks created by ex-McKinsey and BCG consultants.
277 PowerPoint slides organized in a complete storyline with best-practice slide-layouts, titles, and graphics
4 real-life full-length examples from Fortune500 companies so you can see how a strategy is presented in other organizations
Helpful checklist used in top-tier consulting firms
Excel model to support your strategy document.
Access full powerpoint at www.slideworks.io.
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
Becoming a Data-Driven Organization - Aligning Business & Data StrategyDATAVERSITY
More organizations are aspiring to become ‘data driven businesses’. But all too often this aim fails, as business goals and IT & data realities are misaligned, with IT lagging behind rapidly changing business needs. So how do you get the perfect fit where data strategy is driven by and underpins business strategy? This webinar will show you how by de-mystifying the building blocks of a global data strategy and highlighting a number of real world success stories. Topics include:
•How to align data strategy with business motivation and drivers
•Why business & data strategies often become misaligned & the impact
•Defining the core building blocks of a successful data strategy
•The role of business and IT
•Success stories in implementing global data strategies
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
Would you share your bank account information on social media? How about shouting your social security number on the New York City subway? We didn’t think so either – that’s why data governance is consistently top of mind.
In this webinar, we’ll discuss the common Cloud data governance best practices – and how to apply them today. Join us to uncover Google Cloud’s investment in data governance and learn practical and doable methods around key management and confidential computing. Hear real customer experiences and leave with insights that you can share with your team. Let’s get solving.
Topics that you will hear addressed in this webinar:
- Understanding the basics of Cloud Incident Response (IR) and anticipated data governance trends
- Best practices for key management and apply data governance to your day-to-day
- The next wave of Confidential Computing and how to get started, including a demo
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
Business Strategy Presentation Template 2023 - By ex-Mckinsey and BCG consult...Slideworks
A comprehensive, end-to-end strategy presentation template based on proven frameworks created by ex-McKinsey and BCG consultants.
277 PowerPoint slides organized in a complete storyline with best-practice slide-layouts, titles, and graphics
4 real-life full-length examples from Fortune500 companies so you can see how a strategy is presented in other organizations
Helpful checklist used in top-tier consulting firms
Excel model to support your strategy document.
Access full powerpoint at www.slideworks.io.
Data Governance Program Powerpoint Presentation SlidesSlideTeam
"You can download this product from SlideTeam.net"
Showcase data management practices with our content ready Data Governance Program PowerPoint Presentation Slides. Establish processes to ensure effective data management using Information Architecture PPT slides. Data management can enable better planning, minimize rework, optimize staff effectiveness. The information technology governance PowerPoint complete deck contains ready to use slides such as the need for data governance, why companies suffer from data governance, automated data governance, framework, roles and responsibilities, ways to establish data management process, improvement roadmap, etc. The easy to understand data migration program PPT visuals are fully editable. You can modify, color, text, and font size. It has relevant templates to cater to your business needs. Utilize visually appealing information architecture PowerPoint templates to define a set of data management procedures and plans. Data governance is a quality control discipline, assess data accuracy consistency and timeliness. Download this professionally designed information governance program presentation deck to manage, improve, monitor and protect organizational information. Clientele grows with our Data Governance Program Powerpoint Presentation Slides. Give a big boost to your customer base. https://bit.ly/3EViOt3
Gartner: Seven Building Blocks of Master Data ManagementGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
Target architecture: Overcoming barriers to effective Enterprise ArchitectureDave Hornford
Target architecture, and the resulting roadmap, is the fast path to effective business engagement. Change leaders are looking for help in effecting transformation. Dave will explore the real and self-imposed barriers to developing Target Architecture. Why most ‘Targets’ look more like a first Transition Architecture?
The Business Value of Metadata for Data GovernanceRoland Bullivant
In today’s digital economy, data drives the core processes that deliver profitability and growth - from marketing, to finance, to sales, supply chain, and more. It is also likely that for many large organizations much of their key data is retained in application packages from SAP, Oracle, Microsoft, Salesforce and others. In order to ensure that their foundational data infrastructure runs smoothly, most organizations have adopted a data governance initiative. These typically focus on the people and processes around managing data and information. Without an actionable link to the physical systems that run key business processes, however, governance programs can often lack the ‘teeth’ to effectively implement business change.
Metadata management is a process that can link business processes and drivers with the technical applications that support them. This makes data governance actionable and relevant in today’s fast-paced and results-driven business environment. One of the challenges facing data governance teams however, is the variety in format, accessibility and complexity of metadata across the organization’s systems.
Data Governance Takes a Village (So Why is Everyone Hiding?)DATAVERSITY
Data governance represents both an obstacle and opportunity for enterprises everywhere. And many individuals may hesitate to embrace the change. Yet if led well, a governance initiative has the potential to launch a data community that drives innovation and data-driven decision-making for the wider business. (And yes, it can even be fun!). So how do you build a roadmap to success?
This session will gather four governance experts, including Mary Williams, Associate Director, Enterprise Data Governance at Exact Sciences, and Bob Seiner, author of Non-Invasive Data Governance, for a roundtable discussion about the challenges and opportunities of leading a governance initiative that people embrace. Join this webinar to learn:
- How to build an internal case for data governance and a data catalog
- Tips for picking a use case that builds confidence in your program
- How to mature your program and build your data community
When it comes to creating an enterprise AI strategy: if your company isn’t good at analytics, it’s not ready for AI. Succeeding in AI requires being good at data engineering AND analytics. Unfortunately, management teams often assume they can leapfrog best practices for basic data analytics by directly adopting advanced technologies such as ML/AI – setting themselves up for failure from the get-go. This presentation explains how to get basic data engineering and the right technology in place to create and maintain data pipelines so that you can solve problems with AI successfully.
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Unleashing Competitiveness on the Cloud Continuum | Accentureaccenture
Accenture reports how the cloud continuum creates a seamless technology & capability foundation that meets business needs now and in the future. Read more.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall Enterprise Architecture for enhanced business value and success.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
When, Where & How AI Will Boost Federal Workforce Productivityaccenture
Accenture developed an economic model to understand how AI will impact the U.S. federal workforce, through automation and augmentation. Learn more: https://accntu.re/3hsRG8O
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 Governance Powerpoint Presentation SlidesSlideTeam
Create a policy of your data elements using Data Governance PowerPoint Presentation Slides. With the help of this data warehouse management PPT template, you can measure and capture the effectiveness of stored information. You can monitor the third-party data providers' performance by using a data management PowerPoint complete deck. If you want to highlight the importance of analytical activities and reporting issues, then use these data architecture PPT slides. There are several problems that companies suffer while gathering the statistics, thus describe that point with the help of an information governance PowerPoint presentation deck. By using our professionally designed business semantics management PPT visuals, you can compare the data in manually as well as in automated form. The data management framework PPT contains exclusive diagrams and high-grade icons with which you can make your presentation even more engaging. This data integration PowerPoint presentation comprises of a total of twenty-five slides. Therefore, download this ready-to-use data collection system PPT template and envelope the liquidities and accountabilities. https://bit.ly/3ku95BZ
Enterprise Data Governance Framework With Change ManagementSlideTeam
“You can download this product from SlideTeam.net”
Presenting this set of slides with name Enterprise Data Governance Framework With Change Management. The topics discussed in these slides are Strategy, Organization, Management. This is a completely editable PowerPoint presentation and is available for immediate download. Download now and impress your audience. https://bit.ly/3b4VcEH
A successful data governance capability requires a strategy to align regulatory drivers and technology enhancement initiatives with business needs and objectives, taking into account the organizational, technological and cultural changes that will need to take place.
Data Governance Program Powerpoint Presentation SlidesSlideTeam
"You can download this product from SlideTeam.net"
Showcase data management practices with our content ready Data Governance Program PowerPoint Presentation Slides. Establish processes to ensure effective data management using Information Architecture PPT slides. Data management can enable better planning, minimize rework, optimize staff effectiveness. The information technology governance PowerPoint complete deck contains ready to use slides such as the need for data governance, why companies suffer from data governance, automated data governance, framework, roles and responsibilities, ways to establish data management process, improvement roadmap, etc. The easy to understand data migration program PPT visuals are fully editable. You can modify, color, text, and font size. It has relevant templates to cater to your business needs. Utilize visually appealing information architecture PowerPoint templates to define a set of data management procedures and plans. Data governance is a quality control discipline, assess data accuracy consistency and timeliness. Download this professionally designed information governance program presentation deck to manage, improve, monitor and protect organizational information. Clientele grows with our Data Governance Program Powerpoint Presentation Slides. Give a big boost to your customer base. https://bit.ly/3EViOt3
Gartner: Seven Building Blocks of Master Data ManagementGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
Target architecture: Overcoming barriers to effective Enterprise ArchitectureDave Hornford
Target architecture, and the resulting roadmap, is the fast path to effective business engagement. Change leaders are looking for help in effecting transformation. Dave will explore the real and self-imposed barriers to developing Target Architecture. Why most ‘Targets’ look more like a first Transition Architecture?
The Business Value of Metadata for Data GovernanceRoland Bullivant
In today’s digital economy, data drives the core processes that deliver profitability and growth - from marketing, to finance, to sales, supply chain, and more. It is also likely that for many large organizations much of their key data is retained in application packages from SAP, Oracle, Microsoft, Salesforce and others. In order to ensure that their foundational data infrastructure runs smoothly, most organizations have adopted a data governance initiative. These typically focus on the people and processes around managing data and information. Without an actionable link to the physical systems that run key business processes, however, governance programs can often lack the ‘teeth’ to effectively implement business change.
Metadata management is a process that can link business processes and drivers with the technical applications that support them. This makes data governance actionable and relevant in today’s fast-paced and results-driven business environment. One of the challenges facing data governance teams however, is the variety in format, accessibility and complexity of metadata across the organization’s systems.
Data Governance Takes a Village (So Why is Everyone Hiding?)DATAVERSITY
Data governance represents both an obstacle and opportunity for enterprises everywhere. And many individuals may hesitate to embrace the change. Yet if led well, a governance initiative has the potential to launch a data community that drives innovation and data-driven decision-making for the wider business. (And yes, it can even be fun!). So how do you build a roadmap to success?
This session will gather four governance experts, including Mary Williams, Associate Director, Enterprise Data Governance at Exact Sciences, and Bob Seiner, author of Non-Invasive Data Governance, for a roundtable discussion about the challenges and opportunities of leading a governance initiative that people embrace. Join this webinar to learn:
- How to build an internal case for data governance and a data catalog
- Tips for picking a use case that builds confidence in your program
- How to mature your program and build your data community
When it comes to creating an enterprise AI strategy: if your company isn’t good at analytics, it’s not ready for AI. Succeeding in AI requires being good at data engineering AND analytics. Unfortunately, management teams often assume they can leapfrog best practices for basic data analytics by directly adopting advanced technologies such as ML/AI – setting themselves up for failure from the get-go. This presentation explains how to get basic data engineering and the right technology in place to create and maintain data pipelines so that you can solve problems with AI successfully.
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Unleashing Competitiveness on the Cloud Continuum | Accentureaccenture
Accenture reports how the cloud continuum creates a seamless technology & capability foundation that meets business needs now and in the future. Read more.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall Enterprise Architecture for enhanced business value and success.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
When, Where & How AI Will Boost Federal Workforce Productivityaccenture
Accenture developed an economic model to understand how AI will impact the U.S. federal workforce, through automation and augmentation. Learn more: https://accntu.re/3hsRG8O
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 Governance Powerpoint Presentation SlidesSlideTeam
Create a policy of your data elements using Data Governance PowerPoint Presentation Slides. With the help of this data warehouse management PPT template, you can measure and capture the effectiveness of stored information. You can monitor the third-party data providers' performance by using a data management PowerPoint complete deck. If you want to highlight the importance of analytical activities and reporting issues, then use these data architecture PPT slides. There are several problems that companies suffer while gathering the statistics, thus describe that point with the help of an information governance PowerPoint presentation deck. By using our professionally designed business semantics management PPT visuals, you can compare the data in manually as well as in automated form. The data management framework PPT contains exclusive diagrams and high-grade icons with which you can make your presentation even more engaging. This data integration PowerPoint presentation comprises of a total of twenty-five slides. Therefore, download this ready-to-use data collection system PPT template and envelope the liquidities and accountabilities. https://bit.ly/3ku95BZ
Enterprise Data Governance Framework With Change ManagementSlideTeam
“You can download this product from SlideTeam.net”
Presenting this set of slides with name Enterprise Data Governance Framework With Change Management. The topics discussed in these slides are Strategy, Organization, Management. This is a completely editable PowerPoint presentation and is available for immediate download. Download now and impress your audience. https://bit.ly/3b4VcEH
A successful data governance capability requires a strategy to align regulatory drivers and technology enhancement initiatives with business needs and objectives, taking into account the organizational, technological and cultural changes that will need to take place.
Presentation to introduce information governance. This should be used in conjunction with the paper I published on my website. A full information governance methodology, with research included from the foremost authorities on data governance.
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
¿En qué se parece el Gobierno del Dato a un parque de atracciones?Denodo
Watch full webinar here: https://bit.ly/3Ab9gYq
Imagina llegar a un parque de atracciones con tu familia y comenzar tu día sin el típico plano que te permitirá planificarte para saber qué espectáculos ver, a qué atracciones ir, donde pueden o no pueden montar los niños… Posiblemente, no podrás sacar el máximo partido a tu día y te habrás perdido muchas cosas. Hay personas que les gusta ir a la aventura e ir descubriendo poco a poco, pero cuando hablamos de negocios, ir a la aventura puede ser fatídico...
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de esa información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos, herramienta estratégica para implementar y optimizar el gobierno del dato, permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
En este webinar aprenderás a:
- Acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...Element22
DCAM stands for Data management Capability Assessment Model. DCAM is a model to assess data management capabilities within the financial industry. It was created by the EDM Council in collaboration with over 100 financial institutions. This presentation provides an overview of DCAM and how financial institutions leverage DCAM to improve or establish their data management programs and meet regulatory requirements such as BCBS 239. Also the benefits of DCAM are described as part of this presentation.
This presentation highlights the fair data economy rulebook, covering its importance, application in data network construction, and content with contract templates for secure data sharing.
Rooted in Sitra's IHAN project, it envisions responsible and human-centric data utilization.
1001Lakes is your trusted companion in fair data sharing ecosystem collaborations.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
• History of Data Management
• Business Drivers for implementation of data governance • Building Data Strategy & Governance Framework
• Data Management Maturity Models
• Data Quality Management
• Metadata and Governance
• Metadata Management
• Data Governance Stakeholder Communication Strategy
Are you ready for Big Data? This assessment review from Data Management Advisors will provide pragmatic recommendations & actionable transition steps to help you achieve your Big Data goals & deliver actionable insights.
info@dmadvisors.co.uk
This introduction to data governance presentation covers the inter-related DM foundational disciplines (Data Integration / DWH, Business Intelligence and Data Governance). Some of the pitfalls and success factors for data governance.
• IM Foundational Disciplines
• Cross-functional Workflow Exchange
• Key Objectives of the Data Governance Framework
• Components of a Data Governance Framework
• Key Roles in Data Governance
• Data Governance Committee (DGC)
• 4 Data Governance Policy Areas
• 3 Challenges to Implementing Data Governance
• Data Governance Success Factors
Build a Winning Data Strategy in 2022.pdfAvinashBatham
Tredence is a leader in advanced analytics and full-stack AI services,
recognized as a Forrester Wave Leader in Customer Analytics in 2021 Q3 and the AI Gamechanger by NASSCOM.
Our business team at SEAI will take you through education supports, energy audit voucher,s and grant supports for businesses who want to save energy and reduce their bills. You will also learn about how you can fund your renewable energy transition.
The SEAI Fellowship pilot programme will provide the opportunity for postdoctoral or experienced researchers to apply for research fellowship positions based within SEAI.
This webinar will help you understand:
How to reduce your energy use and bills this winter.
SEAI supports and grants to help you further reduce costs and move away from fossil fuels.
How to fund your renewable energy transition.
The objective of this training will be to introduce contractors to the fundamentals of Quality Management Systems and to help them to understand how they can assist contractors in providing quality service to our Homeowners.
Session 2 - National Energy Research and Policy Conference 2022SustainableEnergyAut
Presentations from:
Dr Bernadette Power
Dr Gary Goggins
Jean-Pierre Roux
Dr Noreen Brennan
Dr Niall Dunphy
Katie Harrington
Dr Róisín Moriarty
Dr Brian Caulfield
This is a stakeholder engagement webinar in relation to identifying a suitable energy education service provider(s), to provide Management and Administrative Services to support the delivery of the SEAI School Workshop Programme.
The webinar will outline how SEAI can help and support committed public bodies now and in the long term to achieve 2030 targets. SEAI are delighted to have Jan Rosenow, Director of European Programmes at the Regulatory Assistance Project, addressing the current drivers for climate action and why it is an imperative strategic concern for all businesses, public and private. Peter Smyth, Assistant National director in the HSE Capital and Estates Department will cover their journey from ad hoc once-off projects dependent on annual budgets, to a strategic HSE Infrastructure Decarbonisation Roadmap.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
RFT for Business Intelligence and Data Strategy
1. Liam Costello, IT Project Manager, SEAI
Business Intelligence
and Data Strategy RFT
Stakeholder Engagement Meeting
01 March 2022
2. This event is being recorded
WebEx Housekeeping Slide
2 Please note that information presented on these slides are for information only and may or may not be used in
drafting the RFT.
Attendees are muted with cameras off
Questions submitted by clicking Q&A bubble
Questions will be answered at end of event
An FAQ will be created from all questions submitted and shared
A recording and slides will be distributed after the event
3. Agenda
3 Please note that information presented on these slides are for information only and may or may not be
used in drafting the RFT.
Key Drivers
SEAI Data Maturity Assessment
High Level Requirements
SEAI Technology Stack
Timelines
Q&A
5. 5 Please note that information presented on these slides are for information only
and may or may not be used in drafting the RFT.
National Retrofit Plan (Climate Action Plan)
• €8 Billion exchequer investment to 2030
• 500,000 B2 homes
• SEAI as the National Retrofit Delivery Body
Legislation and Policies
• Public Sector Data Strategy 2019- 2023
• Open Data Strategy 2017 - 2022
• Data Sharing and Governance Act 2019
• General Data Protection Regulations (GDPR)
SEAI internal drivers
• Organisation Growth
• Strategic Objectives
• IT Strategy
• Project Evolve
• SEAI Draft Data Strategy / Maturity Assessment
Key Drivers
6. 6
Please note that information presented on these slides are for information only and may or may not be used in drafting the RFT.
SEAI Board
CEO
Research and
Policy Insights
Business, Public
Sector and
Transport
Corporate
Services
Finance & ICT
IT Programme
IT Operations,
Service Delivery
and Security
Business
Applications and
Project
Excellence
Data
Management
National Retrofit
SMT
IT
Steering
EA
Forum
ELT
Organisation Structure
8. DAMA DMBOK Data Maturity Assessment (2020/21)
8 Please note that information presented on these slides are for information only
and may or may not be used in drafting the RFT.
DAMA DMBOK Data Management Knowledge Areas
• 33 Business Units Interviewed
• Data Maturity Assessment Survey
• Assessment of Data Landscape, Reporting and Storage
• Draft Data Strategy and suggested Roadmap
Year 1 Year 2 Year 3 onwards
Governance,
Policies &
Processes
Roles and
Responsibilities
Data Gov
Model
GDPR
Review
Data Polices
& Processes
Data
Lifecycles
Update Risk
Register
Standard
Templates
ISO 27001 Accreditation
Review 3rd Party
Agreements
Year 1 Year 2 Year 3 onwards
Document &
Content
Classification
Document
Management Platform
Logical and Physical Data Model Definition
Meta Data
Management
New Modern Data Platform (BI / DW solution)
Data Quality Programme (KPIs, Controls, Processes)
Data Integration Platform / Automated data exchange
Master &
Reference Data
Management
Tools &
Technology
Year 1 Year 2 Year 3 onwards
Governance,
Policies &
Processes
Roles and
Responsibilities
Data Gov
Model
GDPR
Review
Data Polices
& Processes
Data
Lifecycles
Update Risk
Register
Standard
Templates
ISO 27001 Accreditation
Review 3rd Party
Agreements
Year 1 Year 2 Year 3 onwards
Culture and
Enablem ent
Establish Analytics Service Hub
Data Skills Programme
Document Management Training
Open Data Initiatives
9. Assessment Findings
From Business Workshops
• Lack of centralised data governance,
controls, and processes
• Inconsistent multi-vendor approaches
• Data lifecycle not defined or managed.
• Data quality issues and duplication
• no approach to Master Data
Management (MDM)
• Proliferation of repositories for storing
documents
• Commercial and reputational risks
9 Please note that information presented on these slides are for information only
and may or may not be used in drafting the RFT.
Data Landscape, Storage and
Reporting
• SEAI lacks a consistent data model
• Poor integration of data sources
• Regulatory reporting is often not
accurate
• No data quality standards
• No organisational metadata policy or
process
• Retention policies are not enforced
• Information requests require heavy
resourcing
• No Open Data Publishing Plan
10. 10
High Level Requirements
Please note that information presented on these slides are for information
only and may or may not be used in drafting the RFT. Actual details and
requirements will be specified in the RFT when it is published on eTenders.
High Level Summary of RFT Requirements
11. Data Strategy Vision and Objectives
11 Please note that information presented on these slides are for information
only and may or may not be used in drafting the RFT.
“We will combine leading technologies, best practices, and SEAI-led innovation to transform how we
manage, share, and use data within the organisation and for the benefit of our stakeholders.”
12. Data Principles (EA Forum)
12 Please note that information presented on these slides are for information
only and may or may not be used in drafting the RFT.
Principle Statement Rationale
1
Treat Information as an
Asset
Information is a valuable asset to SEAI and our
stakeholders and must be managed accordingly
through its life cycle. This implies a need to plan
for the strategic use of information to enable
differentiating business capabilities.
Information represents a valuable corporate resource, with actual and
measurable value. Information is the basis of the decision-making
process and Government policy. Therefore, it must be carefully managed
to ensure constant awareness of its location, reliability of its contents, and
access whenever and wherever necessary.
2
Make Information
Accessible, Shareable and
Consumable
SEAI programmes have access to information that
is necessary for performance of their respective
functions. Therefore, information is shared
between different programmes and teams
depending on the security levels established for
that particular set of information.
Access to accurate information is essential to improve the quality and
efficiency of the decision-making, low response turnaround time for
information requests and delivery.
It is less expensive to maintain timely and accurate information in a single
repository and share that than to maintain repetitive information in
multiple sources.
Shared information from a centralized authoritative source promotes
better decisions-making, cost-efficiencies, accuracy and better
governance of information.
3
Use Common Terminology
and Definitions
Define information consistently and coherently
throughout the Corporation through
comprehensible and accessible definition by staff.
The information used in the development of applications must have a
common definition so that the information can be shared. A common
terminology facilitates communication and promotes efficient dialog and
allows information and interfaces to be shared among different systems.
4
Data security, Privacy and
Security Safeguards
Appropriate technical and organisational controls
must be implemented to protect data and keep it
confidential.
The privacy and security of data is everyone’s responsibility. Data
protection legislation requires organisations that process personal data to
ensure they maintain the security and privacy of this data. It is necessary
to have policies and security safeguards implemented to protect health
information whether stored on paper or electronically.
5
Ensure data is mastered
and shared
Everyone must work from the same data and
know its source.
Proliferation of structured data and unstructured data must be controlled
to ensure accurate data is provided.
13. Target State and Work Programme
13
Please note that information presented on these slides are for information only and may or may not be used in drafting the RFT.
DAMA Domain AS – IS TO - BE
Data Governance 2.68 3.5
Data Architecture 2.15 3.0
Data Modelling & Design 1.66 3.0
Data Storage & Operations 1.89 3.0
Data Security 3.00 3.5
Data Integration & Operability 1.98 3.5
Document & Content 2.08 3.0
Reference & Master Data 1.92 3.0
Data Warehousing & BI 1.88 3.0
Metadata 1.98 3.0
Data Quality 2.41 3.5
Tender Work Programme
Governance, Policies & Procedures
Tools & Technologies
Culture & Enablement
14. Year 1 Year 2 Year 3 onwards
Governance,
Policies&
Processes
Roles and
Responsibilities
Data Gov
Model
GDPR Review
Develop the Data Governance Model (DAMA Framework)
• Data Management Charter (Vision, Mission, business drivers, principles, known issues, processes)
• Operating Framework (roles and responsibilities, governance structures, terms and conditions, RACI matrix)
• Data Management Implementation Roadmap (timeframe for policies, technology roadmap etc.)
Conduct a GDPR review
• Based on a 2018 data gap analysis.
Governance, Polices and Procedures
Please note that information presented on these slides are for information only and may or may not be
15. Year 1 Year 2 Year 3 onwards
Governance,
Policies&
Processes
Roles and
Responsibilities
Data Gov
Model
GDPR Review
Data Policies
& Processes
Data
Lifecycles
Data Policies and Processes
• Gap analysis of existing data related policy and creating of new policies as required
• Document and manage existing data related processes and procedures
• Version control, manage and regular review of policy set to best practice (e.g. ISO27001)
Define and manage key data lifecycles
• Data lifecycle mapping to represent flow of data between people and systems tracking from creating to destruction
(feeds into Master and Reference Data)
Review and classify data exchanged with 3rd Parties
• Obligation as Data Controller to handle data in secure and compliant manner
• Review of all data coming in and out of SEAI to understand what is being exchanged, how is happens, and security and
risk issues
Governance, Polices and Procedures
Review 3rd Party
Agreements
Please note that information presented on these slides are for information only and may or may not be
16. Year 1 Year 2 Year 3 onwards
Governance,
Policies&
Processes
Roles and
Responsibilities
Data Gov
Model
GDPR Review
Data Polices &
Processes
Data
Lifecycles
Update Risk
Register
Standard
Templates
Update Risk Management Framework & Risk Register
• Review to ensure alignment with Data Governance Model and policies
• Data risk scoring, mitigation strategies, continuous review and monitoring
Standard Templates and Documents
• Classify documents and agree templates for common types (e.g. have these for IT PMO)
• Agree metadata for classification and mange with version control, reviews
Governance, Polices and Procedures
Review 3rd Party
Agreements
Please note that information presented on these slides are for information only and may or may not be
17. Year 1 Year 2 Year 3 onwards
Governance,
Policies&
Processes
Roles and
Responsibilities
Data Gov
Model
GDPR Review
Data Polices &
Processes
Data
Lifecycles
Update Risk
Register
Standard
Templates
ISO 27001 Accreditation
ISO27001 implementation and accreditation
• Extend from existing alignment to a subset standard in IT Programme to full SEAI adoption
• Drive maturity and culture shift across the organisation
• Would require significant organisation buy-in in terms of time and resources
Governance, Polices and Procedures
Data
Governance
Data Modelling
& Design
Data Storage&
Operations
Data Security
Data Integration
& Operability
Documents
& Content
Reference
& Master Data
Data
Warehousing
& BI
Metadata
Data
Architecture
Data Quality
Review 3rd Party
Agreements
Please note that information presented on these slides are for information only and may or may not be
18. Deliverables
• Target Operating Model
• DG Structures, roles and responsibilities, data quality management, data principles
• Defined and Managed Data Processes and Lifecycles
• Data acquisition, storage, processing and disposal
• Updated Risk Register and Risk Framework
• Continually evaluate and manage data related risk
• Suite of Policies and procedures to support Data Governance Programme
• Gap analysis and continual review
• ISO 27001 accreditation
• This will require agreement withing the organisation, currently IT aligns to this in certain areas but not fully accredited
Governance, Polices and Procedures
Year 1 Year 2 Year 3 onwards
Governance,
Policies&
Processes
Roles and
Responsibilities
Data Gov
Model
GDPR Review
Data Polices &
Processes
Data
Lifecycles
Update Risk
Register
Standard
Templates
ISO 27001 Accreditation
Review 3rd Party
Agreements
Please note that information presented on these slides are for information only and may or may not be
19. Master Data Management / Reference Data Management
• Identify and manage SEAI Master and Reference Data (Core business entities in Data Modelling work stream)
• Include where created, how managed, ownership, and lifecycle of data
• Incorporate MDM and RDM into SEAI Technology and Project Pipelines
• SEAI contact Management System, central repository of reference data (e.g. measures)
Document & Content Classification
• Content types, document sets, classification / metadata to enable searching, workflows, automated routing, retention, security and access,
Single Document Management Platform (SharePoint)
• Move documents from other platforms to SharePoint
• Integrate with other SEAI Systems
Tools and Technology
Year 1 Year 2 Year 3 onwards
Tools &
Technology
Master &
Reference Data
Management
Document & Content
Classification
Document
Management Platform
Please note that information presented on these slides are for information only and may or may not be
20. Logical and Physical Data Models
• Logical Data Model that represents all key SEAI data entities across all programmes
• Define attributes, primary identifiers, data types, relationships between entities
• Translate to physical data models for each system
• Common definitions and naming conventions
• Incorporated into system architecture and design
Meta Data Management
• Data catalogue that automatically scans data estate, shows data lineage, and all required metadata elements
• Start with Key entities identified in SEAI Logical Model
• Single Tool to manage and version control (integrated with new data platform)
Tools and Technology
Year 1 Year 2 Year 3 onwards
Document & Content
Classification
Document
Management Platform
Logical and Physical Data Model Definition
Meta Data
Management
Master &
Reference Data
Management
Tools &
Technology
Please note that information presented on these slides are for information only and may or may not be
21. New Modern Data Platform (BI / DW solution)
• Support and enable data-driven decision making and data analytics
• Cater for structured, semi-structured, unstructured, streamed data (scalable for future data volumes and needs)
• Link to MDM and RDM workstreams, and Data Quality Progarmme
• Azure based solution preferred as aligned to SEAI Technical Stack and investments
• Data ingestion, preparation, transforming, analysis, publishing, and consumption
• Include a Data Catalogue to enable data discovery, data lineage, business glossary, data classification, scan data estate
Existing Data Infrastructure
• Bring into a managed service (estimated for 1 year)
• Recreate existing reports in new environment when ready
Tools and Technology
Year 1 Year 2 Year 3 onwards
Document & Content
Classification
Document
Management Platform
Logical and Physical Data Model Definition
Meta Data
Management
New Modern Data Platform (BI / DW solution)
Master &
Reference Data
Management
Tools &
Technology
Please note that information presented on these slides are for information only and may or may not be
22. Data Quality Management Framework
• Data quality audit
• Timeliness, Completeness, Consistency, Accuracy, Availability, Integrity, Validity, and Currency
• Identify and manage a set of Data Quality Metrics across SEAI data estate
• Assess to metrics via dashboards, updated automatically, scoring in place
• QA checks for manually entered data
• Data quality control mechanisms
• New process to log, manage and resolve data issues
• Workflows for “Bad data” (e.g. exclude from reporting, flag for remediation)
• Roles and Responsibilities
• Data Stewards
Tools and Technology
Year 1 Year 2 Year 3 onwards
Document & Content
Classification
Document
Management Platform
Logical and Physical Data Model Definition
Meta Data
Management
New Modern Data Platform (BI / DW solution)
Data Quality Programme (KPIs, Controls, Processes)
Master &
Reference Data
Management
Tools &
Technology
Please note that information presented on these slides are for information only and may or may not be
23. Data Integration Platform
• Automate data flows between SEAI Systems (e.g. APIs)
• Eliminate file based extracts from systems for integration
• Ensure compliance with legislation / regulation
• Automate data flows externally
• Input from review of 3rd Party data exchanges
• Ensure compliance with legislation / regulation
• Data services, APIs, Document sharing approach
• Centralised service approach to sharing data (EA Forum)
Tools and Technology
Year 1 Year 2 Year 3 onwards
Document & Content
Classification
Document
Management Platform
Logical and Physical Data Model Definition
Meta Data
Management
New Modern Data Platform (BI / DW solution)
Data Quality Programme (KPIs, Controls, Processes)
Data Integration Platform / Automated data exchange
Master &
Reference Data
Management
Tools &
Technology
Please note that information presented on these slides are for information only and may or may not be
24. Deliverables
• Common SEAI Data Model (Conceptual and Physical)
• Meta Data solution
• Master and Reference Data solutions
• BI / DW solution
• Data Integration solution(s)
• Data Catalogue
• Data Quality Framework and associated solutions
Tools and Technology
Year 1 Year 2 Year 3 onwards
Document & Content
Classification
Document
Management Platform
Logical and Physical Data Model Definition
Meta Data
Management
New Modern Data Platform (BI / DW solution)
Data Quality Programme (KPIs, Controls, Processes)
Data Integration Platform / Automated data exchange
Master &
Reference Data
Management
Tools &
Technology
Please note that information presented on these slides are for information only and may or may not be
25. Analytics Service Hub
• Determine best model for SEAI (may change over time)
• Hub and spoke recommended
• Shared service providing access to high quality data and support business with DA initiatives
• Higher level of skills in DA techniques, ML and AI
Culture and Enablement
Year 1 Year 2 Year 3 onwards
Culture and
Enablement
Establish Analytics Service Hub
Please note that information presented on these slides are for information only and may or may not be
26. Data Skill Programme
• Enable employees to manage their data and gain insights using adopted DA and visualisation tools
• Structured training programme tailored to users specific needs
• Using an common toolset (e.g. Power BI)
• Break down silos and foster collaboration
• Supported by enhanced data discovery and BI / DW technology platform development
Culture and Enablement
Year 1 Year 2 Year 3 onwards
Culture and
Enablement
Establish Analytics Service Hub
Data Skills Programme
Please note that information presented on these slides are for information only and may or may not be
27. Open Data Publishing Framework
• Data Audits and Data valuation
• Data cleaning and anonymisation rules
• Data publishing process and approval path
• Open Data solutions and support automated publishing process to data.gov.ie
• Integrated with BI / DW solution data source
Culture and Enablement
Year 1 Year 2 Year 3 onwards
Culture and
Enablement
Establish Analytics Service Hub
Data Skills Programme
Open Data Initiatives
Please note that information presented on these slides are for information only and may or may not be
28. SharePoint training
• Classification and tagging of documents and content
• Workflows associated with documents and how to trigger
• Access and sharing rules
• Version controls
• Build on existing SharePoint training within SEAI
Culture and Enablement
Year 1 Year 2 Year 3 onwards
Culture and
Enablement
Establish Analytics Service Hub
Data Skills Programme
Document Management Training
Open Data Initiatives
Please note that information presented on these slides are for information only and may or may not be
29. Deliverables
• Analytics Service Hub with higher level of skills
• Targeted skills development and training plans (data visualisation and analytics tools)
• Open Data solutions to ensure SEAI compliant with Open Data Strategy
• Document Management Training
Culture and Enablement
Year 1 Year 2 Year 3 onwards
Culture and
Enablement
Establish Analytics Service Hub
Data Skills Programme
Document Management Training
Open Data Initiatives
Please note that information presented on these slides are for information only and may or may not be
31. SEAI technology
On Premise Cloud (MS Azure)
Windows 2012 and 2016
Servers
D365 CRM (SAAS)
(EGS, PEP,WH,EED,MSA)
SQL Server 2008 & 2012 Office 365 (SAAS)
VMWare VCenter 6.7 Azure AD
Veeam backup TPC
Checkpoint .NET portals
Dell Servers and SAN Azure SQL Reporting DB
Cisco Switching
On Prem Staging DBs
On Prem DW
32. 32 Please note that information presented on these slides are for information
only and may or may not be used in drafting the RFT.
Internet
Gov-Networks
PEP
WHS
BER
ECMS
GIS
Workstation
SEAI Azure
Reporting
PEP
WHS
CallQ
HES/
Admi
n
EV
M&R
ACA/
TripleE
NAS/
NDNAS
File
Print
Workstatio
n
BO Network
Web Network DB
Network
SEAI SAAS
Corporate
Website
Cloud Service
3PP (DR)
Dun
Slg
Crk SEAI - Gov Networks
Wifi
Fexco
KSN
MPRN Eircode
BOI
Insp
EGS
• Firewalls
• Network Segmentation
• Patching
• Anti-Virus
• Web filter
• Encryption
• Backups
• Access Control, MFA
• Conditional Access
34. 34 Please note that information presented on these slides are for information
only and may or may not be used in drafting the RFT.
eTenders, ESPD and submitting a tender
Ensure you are signed up to eTenders
https://www.etenders.gov.ie/
Contact eTenders directly for technical support queries
Tender queries
All queries must only be sent in via the messaging facility on eTenders
Questions will be anonymised, and answers will be distributed to all bidders
Monitor eTenders / TED for publication of the tender
SEAI will publish the RFT using the same CPV codes as published in the PIN
Ensure you are signed up to CPV codes to get notifications of tenders
Complete an ESPD
The European single procurement document (ESPD) is a self-declaration form.
Most Economically Advantageous Tender (MEAT) is the method of assessment used and is determined based on a combination of
qualitive and cost criteria.
Two steps in a tender, selection criteria and award criteria.
Selection criteria tests the suitability of the tenderer, it examines their previous experience and has minimum rules that must be passed in
order to proceed further in the evaluation process, evaluated on a pass/fail basis to decide which candidates are suitable.
Award criteria examines the capability of the tenderer to meet the requirements set out in the tender specifications.
Give yourself plenty of time to submit your
response, ensure you upload documents in
good time, do not leave it until the last hour to
upload, make sure you click submit.
Once you click submit you cannot
amend/change the documents.
35. 35 Please note that information presented on these slides are for information
only and may or may not be used in drafting the RFT.
Steps in a tender process
•Prior Information Notice (PIN) published on eTenders, Etender reference 207848
• Publish RFT: Request for Tender (RFT) will be published in Q1/Q2 2022, containing
the award criteria, specifications and minimum requirements
• Queries/clarification period: gives all potential tenderers an opportunity to ask
questions via messaging facility on eTenders about the tender or the services
• Evaluation: Once tender closing date has passed, all valid tenders will be evaluated by an SEAI
evaluation team
• Decide, Notify & Award: Once evaluation is complete, all tenderers will be notified
via eTenders whether they were successful or unsuccessful
• Standstill Period: SEAI will hold a 14 calendar day standstill period.
• Conclude Contract with successful tenderer.
36. 36 Please note that information presented on these slides are for information
only and may or may not be used in drafting the RFT.
Key tips for compiling your tender response
Avoid repetition, copying and pasting and generic answers
Keep on point per requirement
Keep audience in mind – the tender evaluators need to be able to read submission
Keep it simple- effort in presentation is good but a good edited document is superior, demonstrates
the company approach
Ask yourself, does this demonstrate the company in the best possible way?
Take a step back, examine and review as if this is new content to you
Be neat, use readable fonts
Examine the award criteria, What is the ask?
Tailor your response to the RFT requirements and award criteria by reflecting back to the wording of
the award criteria to ensure you have addressed the ask.
37. - Partnership on our data journey
- Ambitious but achievable
Q&A
liam.costello@seai.ie