Explore the Top Trends for Business Analysis and Data. We will discuss topics like Value Optimization, Data Sharing, Observability, Sustainability, and AI. Receive helpful information from an Agile Specialist on how to stay ahead of the game in the Top 10 Trends for Business.
Since 2012, leading IT research firm EMA has conducted more than five separate AIOps research projects, including reviews of more than 70 AIOps-related customer deployments. Deep insights into this topic continue with these slides—based on the research webinar--that provide the latest insights into how to best succeed in AIOps deployments and unify IT in the process.
DataEd Slides: Approaching Data Management TechnologiesDATAVERSITY
Our architecturally solid stool requires three legs: people, process, and technologies. This webinar looks at the most misunderstood of these three components: technology. While most organizations begin with technologies, it turns out that technologies are the last component that should be considered. This webinar will survey a range of Data Management technologies that can be used to increase the productivity of Data Management efforts.
Preparing for Major Disruptions in Digital Asset ManagementNuxeo
Nuxeo's guest speaker, Anjali Yakkundi of Forrester Research, Inc., discusses the latest trends in digital asset management (DAM) and how to select a DAM vendor.
MDM, Data Governance, RDM Solution Providers 'that matter' analyst field r...Aaron Zornes
Field Reports for 'Top 20' MDM & Data Governance Consultancies
(subtitle: Avoiding the Consultancy ‘Money Pit’)
As presented at 13th Annual MDM & Data Governance Summit
November 4-6, 2018 in New York City
Aaron Zornes
Chief Research Officer
The MDM Institute
aaron.zornes@the-MDM-Institute.com
www.linkedin.com/in/aaronzornes
http://twitter.com/azornes
Why Focus on “SI” Cost Component?
MDM projects typically incur substantial amt of systems integration in first 12-24 months as businesses wire data sources into enterprise's data hub
MDM Institute research finds G5000 enterprise spends average of $1.2 million for MDM software solutions - with addt’l investment of 3X-4X in SI services
Given substantial investment businesses undertake with SI partners, this must be scrutinized – not only in effort to contain costs, but also to insure success of this vital infrastructure investment
With all the news about cyberattacks, it’s easy to feel like there aren’t enough people to cover all of the security bases. This means proper identification and management of threats and vulnerabilities is an absolute necessity to keep risk at its lowest levels.
These slides--based on the webinar featuring David Monahan managing research director at leading IT analyst firm Enterprise Management Associates (EMA), and John Dasher, vice president of product marketing at RiskSense--highlight why a threat and vulnerability management solution is a must have for your security portfolio.
Since 2012, leading IT research firm EMA has conducted more than five separate AIOps research projects, including reviews of more than 70 AIOps-related customer deployments. Deep insights into this topic continue with these slides—based on the research webinar--that provide the latest insights into how to best succeed in AIOps deployments and unify IT in the process.
DataEd Slides: Approaching Data Management TechnologiesDATAVERSITY
Our architecturally solid stool requires three legs: people, process, and technologies. This webinar looks at the most misunderstood of these three components: technology. While most organizations begin with technologies, it turns out that technologies are the last component that should be considered. This webinar will survey a range of Data Management technologies that can be used to increase the productivity of Data Management efforts.
Preparing for Major Disruptions in Digital Asset ManagementNuxeo
Nuxeo's guest speaker, Anjali Yakkundi of Forrester Research, Inc., discusses the latest trends in digital asset management (DAM) and how to select a DAM vendor.
MDM, Data Governance, RDM Solution Providers 'that matter' analyst field r...Aaron Zornes
Field Reports for 'Top 20' MDM & Data Governance Consultancies
(subtitle: Avoiding the Consultancy ‘Money Pit’)
As presented at 13th Annual MDM & Data Governance Summit
November 4-6, 2018 in New York City
Aaron Zornes
Chief Research Officer
The MDM Institute
aaron.zornes@the-MDM-Institute.com
www.linkedin.com/in/aaronzornes
http://twitter.com/azornes
Why Focus on “SI” Cost Component?
MDM projects typically incur substantial amt of systems integration in first 12-24 months as businesses wire data sources into enterprise's data hub
MDM Institute research finds G5000 enterprise spends average of $1.2 million for MDM software solutions - with addt’l investment of 3X-4X in SI services
Given substantial investment businesses undertake with SI partners, this must be scrutinized – not only in effort to contain costs, but also to insure success of this vital infrastructure investment
With all the news about cyberattacks, it’s easy to feel like there aren’t enough people to cover all of the security bases. This means proper identification and management of threats and vulnerabilities is an absolute necessity to keep risk at its lowest levels.
These slides--based on the webinar featuring David Monahan managing research director at leading IT analyst firm Enterprise Management Associates (EMA), and John Dasher, vice president of product marketing at RiskSense--highlight why a threat and vulnerability management solution is a must have for your security portfolio.
Data Driven Decisions: Building an Insight Driven CultureAmazon Web Services
Analytics done well can transform the way that decisions are made across an organisation. The proliferation of data, matched with the accessibility of new technologies such as AI and Machine Learning, means answers to more and more business questions are within reach. Having a clear strategy for building a data driven culture, to realise the value in analytics, is now a business imperative. This presentation covered:
• The Amazon Story: A Culture of Innovation and History of Machine Learning
• Deloitte & Amazon: Perspectives on Building a Data Driven Culture
• Customer Discussion: Predictions & practical advice
This was presented in Australia and New Zealand in October 2018
While there is a lot of buzz about advanced IT analytics (AIA), the global research from leading IT analyst firm Enterprise Management Associates (EMA) highlights what is actually going on, who is successful and why.
These slides - based on the webinar featuring Dennis Drogseth, VP of research at EMA - cover why successful AIA deployments leverage more 3rd party sources (the average is 15), support more roles (the average is 11), and why 96% of respondents want to integrate service interdependency data into their AIA solutions.
These slides cover:
**What are the more popular types of advanced IT analytics (AIA), and how are they being used?
**How have advanced IT analytics adoption patterns and priorities changed over the last 2 years?
**Who is driving AIA organizationally in the real world?
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
The Softer Skills Analysts need to make an impactPaul Laughlin
25 min presentation given at London Business School, to the OR Society's Analytics Network. Summarising Laughlin Consultancy's 9 step model of Softer Skills for Analysts.
A SMART Seminar conducted on 3 May 2013 by Ian Bertram.
Leveraging information for decision making, assessing its value and ensuring frictionless sharing of information within the enterprise and beyond is what will fuel success in the current and future economy. New use cases with insatiable demand for real-time access to socially mediated and context-aware insights make information management in the 21st century dramatically different.
For more information, see http://goo.gl/a6F2c
Riding and Capitalizing the Next Wave of Information TechnologyGoutama Bachtiar
Delivered in guest lecture session for International Business Accounting Program, Faculty of Business and Management, Petra Christian University, Surabaya, East Java, Indonesia.
Key Skills & Value Preposition for SAP product company
SAP Global Business Development by building a qualified leads pipeline and growing sales with the following skills
1. SAP Online research, list building, competitor review.
2. SAP Lead Generation, email campaign, track & nurture.
3. SAP Social Media, Mobile, Visual, Content Marketing.
4. SAP Viral marketing.
5. SAP Paid Social Media Advertising.
6. SAP-UX Design & Video Production.
7. SAP Search engine optimization.
8. SAP Consumer Behavior & CRM Skills.
9. SAP-Data Visualization, Science & Analytics.
10. SAP-HTML, CMS, CSS & related Coding Languages.
11. SAP-Sales Engagement on WebEx, SkyPE, TeamViewer
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
Title
DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed.
Synopsis
● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.
● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.
How to choose the right modern bi and analytics tool for your business_.pdfAnil
We highlight Top 5 Business Intelligence Tools as suggested by Gartner and ask critical questions that can help organizations make better and informed decisions.
Réinventez le Data Management avec la Data Virtualization de DenodoDenodo
Regardez la version complète du webinar à la demande ici: https://goo.gl/ZxRqmX
"D'ici à 2020, 50% des entreprises mettront en œuvre une forme de virtualisation des données comme une option pour l'intégration de données", selon le cabinet d’analystes Gartner. La virtualisation des données ou data virtualization est devenue une force motrice pour les entreprises pour la mise en œuvre d’une architecture de données d'entreprise agile, temps réel et flexible.
Au sommaire de ce webinar:
Denodo et son positionnement sur le marché de la Data Virtualization
Les principales fonctionnalités
Démo/vidéo
Les principaux cas d’usage. Présentation d'un cas client : comment Intel a repensé l’architecture de ses données avec la Data Virtualization
Les ressources
Questions/Réponses
Business Intelligence, Data Analytics, and AIJohnny Jepp
Data is the new currency. In this session, best practices on data collection, management dashboards, and used cases will be shared using Azure Data Services.
Video accessible at bit.ly/APACSummitOnDemand
Shwetank Sheel
Chief Executive Officer
Just Analytics
Poonam Sampat
Cloud Solution Architect - Data & AI
Microsoft Asia Pacific
With a plethora of inventory and discovery tools, IT organizations often sink beneath an unreconciled data universe.
These slides, based on the webinar from leading IT analyst firm Enterprise Management Associates (EMA), draw from extensive EMA research and consulting experience to explain how IT organizations can improve their effectiveness in ‘discovering the truth’ about their environments.
The Increasing Criticality of MDM for Personalization for Customers and Employees
Master data management seems to be one of those perennial, evergreen programs that organizations continue to struggle with.
Every couple of years people say, “we're going to get a handle on our master data” and then spend hundreds of thousands to millions and tens of millions of dollars working toward a solution.
The challenge is that many of these solutions are not really getting to the root cause of the problem. They start with technology and begin by looking at specific data elements rather than looking at the business concepts that are important to the organization.
MDM programs are also difficult to anchor on a specific business value proposition such as improving the top line. Many initiatives are so deep in the weeds and so far upstream that executives lose interest and they lose faith in the business value that the project promises. Meanwhile frustrated data analysts, data architects and technology organizations feel cut off at the knees because they can't get the funding, support and attention that they need to be successful.
We've seen this time after time and until senior executives recognize the value and envision where the organization can go with control over its data across domains, this will continue to happen over and over again. Executives all nod their heads and say “Yes! Data is important, really important!” But when they see the price tag they say, “Whoa hold on there, it's not that important”.
Well, actually, it is that important.
We can't forget that under all of the systems, processes and shiny new technologies such as artificial intelligence and machine learning lies data. And that data is more important than the algorithm. If you have bad data your AI is not going to be able to fix it. Yes there are data remediation applications and there are mechanisms to harmonize or normalize certain data elements. But looking at this holistically requires human judgment: understanding business processes, understanding data flows, understanding dependencies and understanding of the entire customer experience ecosystem and the role of upstream tools, technologies and processes that enable that customer experience.
Until we take that holistic approach and connect it to business value these things are not going to get the time, attention and resources that they need.
Seth Earley, Founder & CEO, Earley Information Science
Dan O'Connor, Senior Product Manager at inriver
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.
Explore the Top Trends for Business Analysis and Data. We will discuss topics like Value Optimization, Data Sharing, Observability, Sustainability, and AI. Receive helpful information from an Agile Specialist on how to stay ahead of the game in the Top 10 Trends for Business.
As I've observed software development teams, on high-performing teams, the Product and the Engineering team leads often have the same characteristics as a marriage.
The Product lead may be called the Product Manager, Product Owner, Business Owner, or Business Analyst and the Engineering Lead might be called the Architect or Technical Lead. These roles have to work together daily, working in parallel to create a united vision and goals. The team or team of teams' ability to be organized and focused will depend on how well the Product and Engineering leadership show a united front.
Some of us know what it's like working on a team where Product (i.e. the Business) and Engineering have different agendas and/or are blatantly working against each other.
As I look at this working relationship as a marriage, I look at what makes a good marital relationship and also what to do when the relationship is broken. In the workshop I do exercises that go along with the deck, we talk about how to fix broken relationships and how to make them healthy and productive.
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Data Driven Decisions: Building an Insight Driven CultureAmazon Web Services
Analytics done well can transform the way that decisions are made across an organisation. The proliferation of data, matched with the accessibility of new technologies such as AI and Machine Learning, means answers to more and more business questions are within reach. Having a clear strategy for building a data driven culture, to realise the value in analytics, is now a business imperative. This presentation covered:
• The Amazon Story: A Culture of Innovation and History of Machine Learning
• Deloitte & Amazon: Perspectives on Building a Data Driven Culture
• Customer Discussion: Predictions & practical advice
This was presented in Australia and New Zealand in October 2018
While there is a lot of buzz about advanced IT analytics (AIA), the global research from leading IT analyst firm Enterprise Management Associates (EMA) highlights what is actually going on, who is successful and why.
These slides - based on the webinar featuring Dennis Drogseth, VP of research at EMA - cover why successful AIA deployments leverage more 3rd party sources (the average is 15), support more roles (the average is 11), and why 96% of respondents want to integrate service interdependency data into their AIA solutions.
These slides cover:
**What are the more popular types of advanced IT analytics (AIA), and how are they being used?
**How have advanced IT analytics adoption patterns and priorities changed over the last 2 years?
**Who is driving AIA organizationally in the real world?
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
The Softer Skills Analysts need to make an impactPaul Laughlin
25 min presentation given at London Business School, to the OR Society's Analytics Network. Summarising Laughlin Consultancy's 9 step model of Softer Skills for Analysts.
A SMART Seminar conducted on 3 May 2013 by Ian Bertram.
Leveraging information for decision making, assessing its value and ensuring frictionless sharing of information within the enterprise and beyond is what will fuel success in the current and future economy. New use cases with insatiable demand for real-time access to socially mediated and context-aware insights make information management in the 21st century dramatically different.
For more information, see http://goo.gl/a6F2c
Riding and Capitalizing the Next Wave of Information TechnologyGoutama Bachtiar
Delivered in guest lecture session for International Business Accounting Program, Faculty of Business and Management, Petra Christian University, Surabaya, East Java, Indonesia.
Key Skills & Value Preposition for SAP product company
SAP Global Business Development by building a qualified leads pipeline and growing sales with the following skills
1. SAP Online research, list building, competitor review.
2. SAP Lead Generation, email campaign, track & nurture.
3. SAP Social Media, Mobile, Visual, Content Marketing.
4. SAP Viral marketing.
5. SAP Paid Social Media Advertising.
6. SAP-UX Design & Video Production.
7. SAP Search engine optimization.
8. SAP Consumer Behavior & CRM Skills.
9. SAP-Data Visualization, Science & Analytics.
10. SAP-HTML, CMS, CSS & related Coding Languages.
11. SAP-Sales Engagement on WebEx, SkyPE, TeamViewer
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
Title
DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed.
Synopsis
● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.
● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.
How to choose the right modern bi and analytics tool for your business_.pdfAnil
We highlight Top 5 Business Intelligence Tools as suggested by Gartner and ask critical questions that can help organizations make better and informed decisions.
Réinventez le Data Management avec la Data Virtualization de DenodoDenodo
Regardez la version complète du webinar à la demande ici: https://goo.gl/ZxRqmX
"D'ici à 2020, 50% des entreprises mettront en œuvre une forme de virtualisation des données comme une option pour l'intégration de données", selon le cabinet d’analystes Gartner. La virtualisation des données ou data virtualization est devenue une force motrice pour les entreprises pour la mise en œuvre d’une architecture de données d'entreprise agile, temps réel et flexible.
Au sommaire de ce webinar:
Denodo et son positionnement sur le marché de la Data Virtualization
Les principales fonctionnalités
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Les principaux cas d’usage. Présentation d'un cas client : comment Intel a repensé l’architecture de ses données avec la Data Virtualization
Les ressources
Questions/Réponses
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Data is the new currency. In this session, best practices on data collection, management dashboards, and used cases will be shared using Azure Data Services.
Video accessible at bit.ly/APACSummitOnDemand
Shwetank Sheel
Chief Executive Officer
Just Analytics
Poonam Sampat
Cloud Solution Architect - Data & AI
Microsoft Asia Pacific
With a plethora of inventory and discovery tools, IT organizations often sink beneath an unreconciled data universe.
These slides, based on the webinar from leading IT analyst firm Enterprise Management Associates (EMA), draw from extensive EMA research and consulting experience to explain how IT organizations can improve their effectiveness in ‘discovering the truth’ about their environments.
The Increasing Criticality of MDM for Personalization for Customers and Employees
Master data management seems to be one of those perennial, evergreen programs that organizations continue to struggle with.
Every couple of years people say, “we're going to get a handle on our master data” and then spend hundreds of thousands to millions and tens of millions of dollars working toward a solution.
The challenge is that many of these solutions are not really getting to the root cause of the problem. They start with technology and begin by looking at specific data elements rather than looking at the business concepts that are important to the organization.
MDM programs are also difficult to anchor on a specific business value proposition such as improving the top line. Many initiatives are so deep in the weeds and so far upstream that executives lose interest and they lose faith in the business value that the project promises. Meanwhile frustrated data analysts, data architects and technology organizations feel cut off at the knees because they can't get the funding, support and attention that they need to be successful.
We've seen this time after time and until senior executives recognize the value and envision where the organization can go with control over its data across domains, this will continue to happen over and over again. Executives all nod their heads and say “Yes! Data is important, really important!” But when they see the price tag they say, “Whoa hold on there, it's not that important”.
Well, actually, it is that important.
We can't forget that under all of the systems, processes and shiny new technologies such as artificial intelligence and machine learning lies data. And that data is more important than the algorithm. If you have bad data your AI is not going to be able to fix it. Yes there are data remediation applications and there are mechanisms to harmonize or normalize certain data elements. But looking at this holistically requires human judgment: understanding business processes, understanding data flows, understanding dependencies and understanding of the entire customer experience ecosystem and the role of upstream tools, technologies and processes that enable that customer experience.
Until we take that holistic approach and connect it to business value these things are not going to get the time, attention and resources that they need.
Seth Earley, Founder & CEO, Earley Information Science
Dan O'Connor, Senior Product Manager at inriver
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.
Explore the Top Trends for Business Analysis and Data. We will discuss topics like Value Optimization, Data Sharing, Observability, Sustainability, and AI. Receive helpful information from an Agile Specialist on how to stay ahead of the game in the Top 10 Trends for Business.
As I've observed software development teams, on high-performing teams, the Product and the Engineering team leads often have the same characteristics as a marriage.
The Product lead may be called the Product Manager, Product Owner, Business Owner, or Business Analyst and the Engineering Lead might be called the Architect or Technical Lead. These roles have to work together daily, working in parallel to create a united vision and goals. The team or team of teams' ability to be organized and focused will depend on how well the Product and Engineering leadership show a united front.
Some of us know what it's like working on a team where Product (i.e. the Business) and Engineering have different agendas and/or are blatantly working against each other.
As I look at this working relationship as a marriage, I look at what makes a good marital relationship and also what to do when the relationship is broken. In the workshop I do exercises that go along with the deck, we talk about how to fix broken relationships and how to make them healthy and productive.
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This concise slide deck will give you an overview of some of the terms used in Agile. Terms such as Burndown, Daily Scrum, and Retrospectives are only a few of the terms that are explored. Use this as a quick reference for someone who is just beginning their Agile journey.
Scrum of Scrums is a Scaled Agile technique that offers a way to connect multiple teams who need to work together to deliver complex solutions.
It helps teams develop and deliver complex products through transparency, inspection, and adaptation, at scale. It’s particularly successful when all high-performing scrum team members work towards a common goal, have trust, and respect, and are completely aligned.
Teams thrive when they deliver value
every 2 - 3 Sprints!
They have a constant stream of achievement.
People develop a sense of momentum and confidence.
It helps bond a team together.
They develop the ability to
critique.
It increases respect for other
disciplines.
It reduces the isolation of work.
A facilitator is a person who helps a group of people work together better, understand their common objectives, and plan how to achieve these objectives during meetings or discussions. At any given time, every member of a self-managed, empowered Agile scrum and Kanban team (regardless of your title or role) should be ready to step up to help facilitate the team. Facilitation is not just limited to project managers, product managers, and scrum masters. Every team member, ceremony, and meeting participant has a part to play and make sure meetings are a productive and valuable use of time.
Facilitation is a valuable soft skill. This slide deck is the first part of the workshop that is presented to whole scrum teams, where they can learn the art and science of facilitation. Through immersive exercises and a workshop coach, they can practice, get comfortable and get past any anxiety they have around facilitating. After taking the class, team members will better appreciate the facilitator's role and are likely to become better participants in team meetings. The team members can also help call out anti-patterns during a meeting and, as a peer, help keep meetings on track in support of the facilitators. Over time, facilitation becomes a natural part of the fabric of the team.
As you take a look through this deck, keep in mind that the second part of this is an immersive workshop led by a coach. If your organization wants more information about providing soft skills training in the area of facilitation or other areas, do reach out to us for our various customized solutions.
Daily Team Building Calendar 2022 www.jacqueline-sanders-blackman.com
Question & Answer Blog on Quora: https://www.quora.com/profile/Jacqueline-Sanders-Blackman
Coach-On-Call Helpdesk Coach Jacqueline007 @ https://www.linkedin.com/in/jacqueline007/
Technology Expresso Consulting website https://techexpressoconsulting.com/
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Apple Podcasts https://podcasts.apple.com/us/podcast/expresso-steam-makers-10-minute-daily-sip-stemulating/id674251164?uo=4
Everyone is doing it - Agile Software Development and Business Agility but is it right for you? There are definite pros and cons and even instances where you should not apply Agile, especially not a full big-bang transformation. Have questions and want a balanced assessment of whether it's right for your organization or if you are doing Agile the right way? Feel free to reach out to us @ techexpressoconsulting.com
Hiring and paying for an Agile Coach can be expensive. A lot of companies feel like they have the talent and knowledge in-house to perform their agile transformation and I have to say, I agree with them to some extent. Agile knowledge is quite prevalent in today's software development environment. This slide deck actually is part of a presentation where I explain how you can avoid hiring a Agile Coach or Coaches especially for long periods of time, but ONLY if you are willing to address some of the most common mistakes people make when they try to do their Agile transformation or any business process redesign without a dedicated, professional trainer or coach. There is a big difference between having a person in your organization that has extensive experience (i.e. agile training, agile coaching, scrum coaching, agile project management training, project management coaching, and change management) versus a person who has the experience and can do it full time for the duration of the business transformation.
Most organizations' first mistake is thinking that a transformation is just a part-time endeavor and/or that a committee that meets from time-to-time can direct and react as needed during a transformation. If you get through this slide deck and still feel you can do your transformation without an Agile Coach, you have my Best Wishes, just keep our name and number handy if you want a coach that will check-in from time to time and let you know you are on the right track. If you think you need a full time Agile coach, you can also connect with us at TechExpressoConsulting.com.
Explore entry level Information Technology jobs available. Use this presentation to begin your exploration of future jobs in IT.
Look at careers like UX Designer, Technical Support/Help Desk, Project Management and more.
Teams often complain about unproductive planning sessions. They even ask can they cancel them. Everyone wants fewer meetings, right? That's why my answer and recommendation to have teams add a refinement session to their scrum cadence may come as a shock. However, refinement sessions are not just another meeting, they are a game-changer when it comes to sprint planning.
Planning without refinement is futile!
Check out our slide deck, Planning without Refinement is Futile, that has more information and insight on how introducing refinement meetings with clear agendas and outcomes can be the planning makeover your scrum teams need. Your level of frustration, redundancy, or angst about planning will be forever changed.
The Agile I know and love (and promote) was meant to be FUN! Lightweight, fast-paced, and Fun! Built into every ceremony is an opportunity to promote and celebrate the team's efforts, progress, and/or accomplishments. Every Scrum Master, Engineering Manager, and/or Agile Team Coach should have a wacky sense of humor and not be afraid to look silly. They should give the teams permission and platforms to laugh, let loose and go off-script. Having Fun at work (especially in I.T.) is a gateway exercise that leads to creativity, engagement, and innovation. Check out our podcast series that talks more about ways to "Make Scrum Fun Again"! Visit our Podcast @ https://www.blogtalkradio.com/expressosteammakers
Agile Coaching is based on continuous improvement. Learn how to be an effective Agile Coach by improving and implementing Agile best practices. Become a change agent within your organization through this slide share that offers tools and techniques to improve your ability to successfully transform your company's Way of Working. This is an Agile Bootcamp for Coaches!
Burndown charts provide indicators for further discussion around work in progress (WIP). It can be used for continuous improvement. It also helps empowered teams identify their areas of weakness or shows them opportunities to pivot the direction in which they are headed.
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The best-laid change management plan can be challenged and derailed if the impact, emotions and reactions of the people who are involved are not considered and accommodated.
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At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
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[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
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LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
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13. Agile Mind and Team Calendar
Email your information to jsb@techexpressoconsulting.com
and we will send you the online link to our calendar.
https://fliphtml5.com/edwir/hndq/basic
15. Reference and Resources
1. Think Like a Business (Business Minded Analyst)
Entrepreneurship Mindset: Think Like a Business Owner https://leaders.com/articles/entrepreneurship/entrepreneurship-mindset/
7 Powerful Secrets of Thinking Like an Entrepreneur https://www.inc.com/peter-economy/7-powerful-secrets-of-thinking-like-an-entrepreneur.html
2. Think Bigger not just Platforms but Ecosystems
Don't Confuse Platforms with Ecosystems https://knowledge.insead.edu/strategy/dont-confuse-platforms-ecosystems
Think bigger, spark new possibilities. - Simple Truth https://yoursimpletruth.com/blog/ecosystems/
3. Value Optimization
12 Amazing Customer Value Optimization (CVO) Strategies
https://www.omniconvert.com/blog/12-customer-value-optimization-cvo-strategies/#:~:text=Customer%20value%20optimization%20or%20CVO%2C%20is%20the
%20framework%20in%20which,for%20entire%20digital%20marketing%20activities.
6 Strategies to Kick Start Your Customer Value Optimization (CVO) Strategies
https://customerthink.com/6-strategies-to-kick-start-your-customer-value-optimization-cvo-strategies/
4. Data Sharing
What is Data Sharing? | Snowflake Guides https://www.snowflake.com/guides/what-data-sharing
What is data sharing? Everything you need to know https://nordvpn.com/blog/data-sharing/
5. Observability
What is observability? Not just logs, metrics, and traces https://www.dynatrace.com/news/blog/what-is-observability-2/
What is observability? https://www.ibm.com/topics/observability
6. Sustainability
What is sustainability in business? - IBM
https://www.ibm.com/topics/business-sustainability#:~:text=Sustainability%20in%20business%20refers%20to%20a%20company's%20strategy%20to%20reduce,
and%20governance%20(ESG)%20metrics.
The 3 Pillars of Corporate Sustainability https://www.investopedia.com/articles/investing/100515/three-pillars-corporate-sustainability.asp
16. Reference and Resources - continued
7. Data Fabric
What Is a Data Fabric? | NetApp
https://www.netapp.com/data-fabric/what-is-data-fabric/#:~:text=A%20data%20fabric%20is%20an,on%20premises%2C%20and%20edge%20devices.
What is a data fabric? https://www.ibm.com/topics/data-fabric
8. Emergent AI/ Understanding AI Risk
AI article: https://www.assemblyai.com/blog/emergent-abilities-of-large-language-models/
Emergent AI
Emergent Abilities in AI: Are We Chasing a Myth? https://towardsdatascience.com/emergent-abilities-in-ai-are-we-chasing-a-myth-fead754a1bf9
AI's Ostensible Emergent Abilities Are a Mirage - Stanford HAI https://hai.stanford.edu/news/ais-ostensible-emergent-abilities-are-mirage
Understanding AI Risk
12 Risks and Dangers of Artificial Intelligence (AI) https://builtin.com/artificial-intelligence/risks-of-artificial-intelligence
Four different ways of understanding AI — and its risks - Vox
https://www.vox.com/future-perfect/2023/6/14/23760648/artificial-intelligence-ai-safety-progress-risks-existential-catastrophic-openai
9. Don't Forget the Humans (Humans Remain the Decision Makers)
The Human Factor in AI-Based Decision-Making https://sloanreview.mit.edu/article/the-human-factor-in-ai-based-decision-making/
Workday Global Survey: Majority of Business Leaders Believe Humans Should be Involved in AI Decision-Making; Cite Ethical and Data Concerns
https://www.prnewswire.com/news-releases/workday-global-survey-majority-of-business-leaders-believe-humans-should-be-involved-in-ai-decision-making-cit
e-ethical-and-data-concerns-301865357.html
10. Consumers as Creators
From Empowerment To Entrustment: Redefining Creator–Consumer Relationships
https://chiefexecutive.net/from-empowerment-to-entrustment-redefining-creator-consumer-relationships/
Consumers as creators The artist / audience line is blurring https://www.midiaresearch.com/reports/consumers-as-creators-the-artist-audience-line-is-blurring