How to Manage a Mixed Portfolio of Products by Salesforce PMProduct School
Major Takeaways:
- Conduct meaningful buy vs. build assessments: total cost of ownership, using 3rd parties to prove an internal build investment, influence their road maps
- Think big and take on risk: bring internal engineers the challenge of building better than what's out there
- Look w/in the business: Salesforce on Salesforce and other internal partnerships
Presentation on developments in hiring and fintech for HKU Executive certific...Kok Tong (K.T.) Khoo
Slides for my guest speaker session at the HKU executive certificate in Internet Finance. Covering personal observations in startup markets and careers, Hong Kong vs Singapore, hiring trends and business models.
IT Consultants as Change Agents in Digital Transformation Initiatives Nicolai Krüger
Conference presentation at the MKWI 2016 - full paper available on http://www.db-thueringen.de/servlets/DerivateServlet/Derivate-33064/ilm1-2016100021.pdf
Running a small, high tech consulting firm - lessons learnedPere Ferrera Bertran
In this talk I describe my experience as CTO of Big Data consulting firm Datasalt from 2011 to 2016, the main use cases done for companies and the lessons learned from such a experience.
With so much noise and buzzwords floating around regarding data analytics, it can be rather difficult to decipher between the signal (what is worthwhile) and what is only talk. Sometimes the rhetoric even starts within your organization, confounding the issue further. During Andrew’s session, he will provide attendees with the knowledge they need to tune out the bogus information while gleaning valuable insights for developing and deploying their audit analytics program. The presentation will conclude with tangible examples of a successful Manufacturing Audit Analytics program, and recommendations for how to get yours up and running. After attending, participants will be able to articulate how steps for setting up an analytics program within their departments, as well be armed with knowledge for educating senior leadership on the fundamental changes in technology that are occurring, and what is just marketing.
In this talk, Rsqrd AI welcomes Diego Oppenheimer, CEO and co-founder of Algorithmia! Diego goes in depth on why machine learning projects fail and why we don’t see machine learning in production despite how powerful the technology can be. He shares his experiences on the problems surrounding pushing ML into production.
**These slides are from a talk given at Rsqrd AI. Learn more at rsqrdai.org**
An Ounce of Validation = a Pound of Pivot by LinkedIn PMProduct School
Main takeaways:
- How even basic impact sizing and user validation can save you and your team a lot of pain and effort in the long run
- Real-world examples of the consequences of skipping validation, along with more successful applications
- Strategies for creatively validating ideas in different situations (low-data, B2B, B2C, web, mobile)
How to Manage a Mixed Portfolio of Products by Salesforce PMProduct School
Major Takeaways:
- Conduct meaningful buy vs. build assessments: total cost of ownership, using 3rd parties to prove an internal build investment, influence their road maps
- Think big and take on risk: bring internal engineers the challenge of building better than what's out there
- Look w/in the business: Salesforce on Salesforce and other internal partnerships
Presentation on developments in hiring and fintech for HKU Executive certific...Kok Tong (K.T.) Khoo
Slides for my guest speaker session at the HKU executive certificate in Internet Finance. Covering personal observations in startup markets and careers, Hong Kong vs Singapore, hiring trends and business models.
IT Consultants as Change Agents in Digital Transformation Initiatives Nicolai Krüger
Conference presentation at the MKWI 2016 - full paper available on http://www.db-thueringen.de/servlets/DerivateServlet/Derivate-33064/ilm1-2016100021.pdf
Running a small, high tech consulting firm - lessons learnedPere Ferrera Bertran
In this talk I describe my experience as CTO of Big Data consulting firm Datasalt from 2011 to 2016, the main use cases done for companies and the lessons learned from such a experience.
With so much noise and buzzwords floating around regarding data analytics, it can be rather difficult to decipher between the signal (what is worthwhile) and what is only talk. Sometimes the rhetoric even starts within your organization, confounding the issue further. During Andrew’s session, he will provide attendees with the knowledge they need to tune out the bogus information while gleaning valuable insights for developing and deploying their audit analytics program. The presentation will conclude with tangible examples of a successful Manufacturing Audit Analytics program, and recommendations for how to get yours up and running. After attending, participants will be able to articulate how steps for setting up an analytics program within their departments, as well be armed with knowledge for educating senior leadership on the fundamental changes in technology that are occurring, and what is just marketing.
In this talk, Rsqrd AI welcomes Diego Oppenheimer, CEO and co-founder of Algorithmia! Diego goes in depth on why machine learning projects fail and why we don’t see machine learning in production despite how powerful the technology can be. He shares his experiences on the problems surrounding pushing ML into production.
**These slides are from a talk given at Rsqrd AI. Learn more at rsqrdai.org**
An Ounce of Validation = a Pound of Pivot by LinkedIn PMProduct School
Main takeaways:
- How even basic impact sizing and user validation can save you and your team a lot of pain and effort in the long run
- Real-world examples of the consequences of skipping validation, along with more successful applications
- Strategies for creatively validating ideas in different situations (low-data, B2B, B2C, web, mobile)
What Are Product Optimization Tactics by Bills.com Senior PMProduct School
Your optimization and testing strategy can potentially determine the success or failure of your product. A/B testing is the most common approach used to validate optimization hypothesis. This approach while powerful has many limitations and does not always result in the highest ROI. Personalization is an alternative approach which can maximize value for specific audiences but can be costly to implement at scale.
Understanding the strengths and weaknesses of each approach will be critical in forming a winning optimization strategy.
Salesforce Architecture framework, Martin KonaCzechDreamin
Session describes how to apply enterprise architecture framework (TOGAF) on Salesforce projects in order to achieve successful implementation and governance. Session will focus on Salesforce specific concerns contained by architecture phases like data model design, product road map, environment strategy, deployment strategy and many more.
Transitioning to a Product Management Role by WeWork PMProduct School
Main takeaways:
- How to position yourself to transition to a Product Manager role?
- Traits of a successful Product Manager
- Being successful at your recently transitioned role
Balancing PM & Software Development Practices by Splunk Sr PMProduct School
Main takeaways:
- Software, Web/Mobile, Product Management and Leveraging the Cloud, AWS & Google Cloud Platform,
- Compiling Detailed Requirements and Design, UI/UX + Software Architecture & Design,
- Balancing Project Management and Software Development Practices, Agile/Scrum, and working with Engineering Teams
This talk covers the PM framework needed to lead AI incubations. Product school webinar video at https://www.linkedin.com/video/live/urn:li:ugcPost:6690684172895322113/
Key Tactics for a Successful Product Launch by Kespry Senior PMProduct School
Main takeaways:
- Learn how to create a solid foundation for the successful release of a product by applying structured frameworks and user
- Center design processes from discovery to roadmap definition phases of the product lifecycle
- Learn how to methodically translate empathy for the customer to data for driving prioritization, decision -making, and clear communication for your teams
- This will be an interactive session for the audience based on a real-life example from the speaker's work
"Digital transformation and innovations implementation. Architectural points ...Fwdays
Every engineer wants to work with the latest and trend technologies, develop and try new things. Businesses are not always ready or willing to innovate their products, so architects must prove that these innovations are absolutely necessary for the business and will solve specific tasks, to solve specific problems or achieve the highest goals, and without these steps it will be very difficult to achieve this. On the other hand, if the business has already decided to implement digital transformation and innovation, then the architects need to have a clear plan and a gradual development path, and it is possible that there will be many stages and several transformations in different industries along the way. architecture (business, data, applications, technologies). In the first and second cases, it is very important first of all to define the goals for each stage and how to measure the system indicators and how well they meet the goals.
This talk will present::
What is digital transformation and how to identify exactly which innovations / technological trends are needed;
High-level process (from preparation, identification of targets to measurement of quality attributes at various stages);
Basic concepts, principles and methods (e.g. quality attributes, fitness functions, architectural design concepts that should be used and development based on hypotheses, etc.);
The role of the Architect in this process;
The main part of the speech is to present tips and tricks on examples of roadmaps for digital transformation and innovation in the following areas: implementation of DevOps/SRE cultures, development standards and Test Strategy, migration from monolith to the microservices architecture.
The main goal of the speech is to show a structured process of digital transformation and implementation of innovation and advice based on examples in the main directions.
This talk will be useful to::
architects and technical consultants who are engaged in the development of architectures at various levels (from application to enterprise);
technical leads and software developers who are engaged or will be engaged in facilitating the process of implementing innovations and digital transformation;
engineers of various fields of Development, DevOps/SRE, Data, QA and other fields;
system analysts and engineering managers.
How to choose a mobile development contractorSimbirSoft
What we are going to speak about
● We act as contractors for mobile app development projects
● We also act as an acquirer and possess the experience of
contractor management
● We will share the experience of hiring a proper
contractor/partner/agency
Measuring the Productivity of Your Engineering Organisation - the Good, the B...Marin Dimitrov
High-performing engineering teams regularly dedicate time on measuring the performance & quality of the systems and applications they’re building or on measuring & improving the various aspects of the development lifecycle. High-performing product companies are also data-driven when it comes to measuring the impact of new features & products in terms of business KPIs and Northstar metrics.
Can a data-driven approach be applied to measuring the performance, maturity and continuous improvement of an engineering team or the whole engineering organisation? In this discussion we’ll cover various important topics related to quantifying the performance of an engineering organisation
Agency Management: Gaining a competitive edge in a mature marketJP KOM GmbH
Presentation held by JP | KOM's founder Joerg Pfannenberg at the International Public Relations Network's annual meeting in Beijiing, China in May, 2018.
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What Are Product Optimization Tactics by Bills.com Senior PMProduct School
Your optimization and testing strategy can potentially determine the success or failure of your product. A/B testing is the most common approach used to validate optimization hypothesis. This approach while powerful has many limitations and does not always result in the highest ROI. Personalization is an alternative approach which can maximize value for specific audiences but can be costly to implement at scale.
Understanding the strengths and weaknesses of each approach will be critical in forming a winning optimization strategy.
Salesforce Architecture framework, Martin KonaCzechDreamin
Session describes how to apply enterprise architecture framework (TOGAF) on Salesforce projects in order to achieve successful implementation and governance. Session will focus on Salesforce specific concerns contained by architecture phases like data model design, product road map, environment strategy, deployment strategy and many more.
Transitioning to a Product Management Role by WeWork PMProduct School
Main takeaways:
- How to position yourself to transition to a Product Manager role?
- Traits of a successful Product Manager
- Being successful at your recently transitioned role
Balancing PM & Software Development Practices by Splunk Sr PMProduct School
Main takeaways:
- Software, Web/Mobile, Product Management and Leveraging the Cloud, AWS & Google Cloud Platform,
- Compiling Detailed Requirements and Design, UI/UX + Software Architecture & Design,
- Balancing Project Management and Software Development Practices, Agile/Scrum, and working with Engineering Teams
This talk covers the PM framework needed to lead AI incubations. Product school webinar video at https://www.linkedin.com/video/live/urn:li:ugcPost:6690684172895322113/
Key Tactics for a Successful Product Launch by Kespry Senior PMProduct School
Main takeaways:
- Learn how to create a solid foundation for the successful release of a product by applying structured frameworks and user
- Center design processes from discovery to roadmap definition phases of the product lifecycle
- Learn how to methodically translate empathy for the customer to data for driving prioritization, decision -making, and clear communication for your teams
- This will be an interactive session for the audience based on a real-life example from the speaker's work
"Digital transformation and innovations implementation. Architectural points ...Fwdays
Every engineer wants to work with the latest and trend technologies, develop and try new things. Businesses are not always ready or willing to innovate their products, so architects must prove that these innovations are absolutely necessary for the business and will solve specific tasks, to solve specific problems or achieve the highest goals, and without these steps it will be very difficult to achieve this. On the other hand, if the business has already decided to implement digital transformation and innovation, then the architects need to have a clear plan and a gradual development path, and it is possible that there will be many stages and several transformations in different industries along the way. architecture (business, data, applications, technologies). In the first and second cases, it is very important first of all to define the goals for each stage and how to measure the system indicators and how well they meet the goals.
This talk will present::
What is digital transformation and how to identify exactly which innovations / technological trends are needed;
High-level process (from preparation, identification of targets to measurement of quality attributes at various stages);
Basic concepts, principles and methods (e.g. quality attributes, fitness functions, architectural design concepts that should be used and development based on hypotheses, etc.);
The role of the Architect in this process;
The main part of the speech is to present tips and tricks on examples of roadmaps for digital transformation and innovation in the following areas: implementation of DevOps/SRE cultures, development standards and Test Strategy, migration from monolith to the microservices architecture.
The main goal of the speech is to show a structured process of digital transformation and implementation of innovation and advice based on examples in the main directions.
This talk will be useful to::
architects and technical consultants who are engaged in the development of architectures at various levels (from application to enterprise);
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system analysts and engineering managers.
How to choose a mobile development contractorSimbirSoft
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● We act as contractors for mobile app development projects
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contractor management
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contractor/partner/agency
Measuring the Productivity of Your Engineering Organisation - the Good, the B...Marin Dimitrov
High-performing engineering teams regularly dedicate time on measuring the performance & quality of the systems and applications they’re building or on measuring & improving the various aspects of the development lifecycle. High-performing product companies are also data-driven when it comes to measuring the impact of new features & products in terms of business KPIs and Northstar metrics.
Can a data-driven approach be applied to measuring the performance, maturity and continuous improvement of an engineering team or the whole engineering organisation? In this discussion we’ll cover various important topics related to quantifying the performance of an engineering organisation
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Holger Mueller of Constellation Research shares his key takeaways from SAP's Sapphire confernece, held in Orlando, June 3rd till 5th 2024, in the Orange Convention Center.
2. Who am I
● 15 years in the software development industry
● Participated and led the following areas: technical
sales, architectural design and implementation,
technical audit, business digitalization, adoption of
cloud strategies, mentoring and coaching
● Works as a CTO in outsourcing and product companies
● Speaker at conferences, meetings, workshops, author
of courses
● Scaled development departments from 20 to 350
developers
● Low-code / no-code platforms enthusiast
linkedin.com/in/serhiiherasymov
4. Problems. Pick yours
● Less code / no code tools and frameworks are here
● Main competitors are internal candidates (e.g. German in Germany)
● Hard to sale FTE
● Hard to upsale for existing clients
● Working with typical client pool for 3+ years
● …
5. Market factors
● Growing demand on new skills
● Productivity is a new trend (personal, organisational)
● Cost optimisation is new black
● Gig economy
7. Lets change optics
● Value architecture
● Mindset change (individual contributor → semi-service)
● Specialisation as a company’ vector
● Pure outsourcing → productization
● Client’ portrait change
8. What is productization
P. refers to the process of developing or altering a process, idea,
skill, or service to make it marketable for sale to the public. P.
involves taking a skill or service that has been used internally and
developing into a standard, fully-tested, packaged, and marketed
product.
- Investopedia
10. Productization commandments
● Specialisation should be based on a strength (hi, SWOT)
● Bring product to market is hard task, you are not doing it (yet)
● Short money → long money, find yourself in a middle
● Evolution, not revolution
● Design for reuse
● Define next steps (framework → product → ecosystem)
11. Benefits of productization
● Moving by value chain
● Improved time-to-market
● Cost optimisation for clients
● Quality
● Expertise
13. Case study: given
● Outsource / outstuffing company
● ≤ 100 ppl
● Main domain: scrapers, BD, data analysis
● Problems:
○ Huge variety of sub-domains → everything from scratch
○ “Expertise plateau”
14. Case study: analysis
● Deal analysis showed repetitive demand
● Objectives of demand is constant / non-volatile
● High potential clients from “next league” was concerned by:
○ Case-study-based expertise
○ High TTM
● A lot of points of growth in expertise portfolio
15. Case study: blueprint
● We defined what can be abstracted as accelerators
● Market research
● Defining future state of whole operation
● Architecture / technical assessment
● Implementation plan
● Mindset shift :)
16. Case study: stages of adoption
Proofing
Ecosystem /
framework
Product
→ →
MVP Accelerator platform SAAS
18. Case study: team allocated
● Leadership (C* level, architect, team lead) R, A
● Dev team (part time, bench) A
● Marketing team A, C
● Sales team I, C
● Delivery I, C
19. Case study: current state
● MVP delivered (build, landing, marketing campaign)
● Specialised team allocated
● Accelerator → framework
● 3 new clients from “next league”
● Moving on!
20. Перемогти у правильній грі. Як
наступати, захищатися й досягати
результатів у мінливому світі
Рон Аднер
Лабораторія, 2022
https://t.ly/MzU6k
21. Da’at.consulting
Excellence, scaling, strategy
Our company is a collective of C-level
professionals, who are willing to share its
decades-long experience with the Ukrainian IT
community.
● Strategic planning and support
● Technical excellence
● Process honing
Let’s grow together