Key Takeaways from this presentation include:
- How data is used to run day to day operations
- How data is used to influence product decisions and marketing strategies
- Which skills are necessary to become self-serving in data tasks regardless of core responsibilities
5 Leadership Lessons from the Trenches by Twitch Senior PMProduct School
Being a great PM, more than anything, is about knowing what to do when faced with adversity. Learn the principles that helped Peter recover from people leaving his team, projects falling behind schedule, conflicts with leadership, and setbacks on his journey to product management. Whether you're a PM early in your career or trying to become one; Peter shares real stories from the trenches at Twitch, Twitter, and Facebook.
Human Ingenuity in AR/VR Products by Walt Disney fmr Senior Producer Product School
The document advertises online courses offered by Product School for product managers, including courses on product management, coding for managers, data analytics for managers, digital marketing for managers, and blockchain for managers. It mentions that the courses are offered part-time in various cities in the United States, Canada, and the United Kingdom, as well as online. It also features a testimonial from a former senior producer at Walt Disney Company.
The Raw Material for Exceptional Products with Edmunds' former Senior Direct...Product School
Ben Biddle, former Data Scientist at Edmunds, turned the volume down on all the data hype in this talk and focused instead on what's most relevant and immediately actionable for a product manager.
Whether you’re running a growing business or launching a startup, you’re likely hearing the same question from decision-makers or investors: “Does it scale?” For service-based marketing agencies in a creative industry, scaling can be difficult — when your revenue grows, your expenses tend to grow with it. Learn how Samantha Kramer, Director of Marketing Services at Thomas, worked with her marketing team to automate, package and scale their processes while their new customer base grew by 67% in 1 year.
Whether you’re running a growing business or launching a startup, you’re likely hearing the same question from decision-makers or investors: “Does it scale?” For service-based marketing agencies in a creative industry, scaling can be difficult — when your revenue grows, your expenses tend to grow with it. Learn how Samantha Kramer, Director of Marketing Services at Thomas, worked with her marketing team to automate, package and scale their processes while their new customer base grew by 67% in 1 year.
What's the Career Path to Product Management Like by fmr HSBC PMProduct School
Ryan Feldhoff, former Product Manager at HSBC, talked about how to navigate a large corporate environment as a Product Manager, how to establish accountability and process at a start up and what makes a great Product Manager.
How to Find Success in a Product Manager Role by GoGuardian PMProduct School
GoGuardian is an EdTech company in Los Angeles that scaled from an idea to a $100M company in just over three years with a great deal of ups and downs along the way.
Cody Rice, Product Manager at GoGuardian, talked about the ins and outs from a product perspective without having to make your own mistakes. This includes building an MVP, getting a product to the market, how to hire your product team, and what NOT to do as a Product Manager. But most importantly, when you have cost your company millions, feel like everything is on fire, and are scrambling to keep the plates spinning, how a simple mindset change can provide light years of growth and allow you to find success in your own career.
How to Be a Successful Product Manager by Google PMProduct School
A Product Manager is often referred to as the CEO of the product; we talked about a different view on this analogy and why it might not be the most accurate description. The session provided a brief summary of what the overall job entails for those who aren’t very familiar with it, a typical day in the life of a Product Manager, and the importance of balancing what a Product Manager must achieve. This includes maintaining the product’s strategic outlook and looking after the smallest details in the execution.
5 Leadership Lessons from the Trenches by Twitch Senior PMProduct School
Being a great PM, more than anything, is about knowing what to do when faced with adversity. Learn the principles that helped Peter recover from people leaving his team, projects falling behind schedule, conflicts with leadership, and setbacks on his journey to product management. Whether you're a PM early in your career or trying to become one; Peter shares real stories from the trenches at Twitch, Twitter, and Facebook.
Human Ingenuity in AR/VR Products by Walt Disney fmr Senior Producer Product School
The document advertises online courses offered by Product School for product managers, including courses on product management, coding for managers, data analytics for managers, digital marketing for managers, and blockchain for managers. It mentions that the courses are offered part-time in various cities in the United States, Canada, and the United Kingdom, as well as online. It also features a testimonial from a former senior producer at Walt Disney Company.
The Raw Material for Exceptional Products with Edmunds' former Senior Direct...Product School
Ben Biddle, former Data Scientist at Edmunds, turned the volume down on all the data hype in this talk and focused instead on what's most relevant and immediately actionable for a product manager.
Whether you’re running a growing business or launching a startup, you’re likely hearing the same question from decision-makers or investors: “Does it scale?” For service-based marketing agencies in a creative industry, scaling can be difficult — when your revenue grows, your expenses tend to grow with it. Learn how Samantha Kramer, Director of Marketing Services at Thomas, worked with her marketing team to automate, package and scale their processes while their new customer base grew by 67% in 1 year.
Whether you’re running a growing business or launching a startup, you’re likely hearing the same question from decision-makers or investors: “Does it scale?” For service-based marketing agencies in a creative industry, scaling can be difficult — when your revenue grows, your expenses tend to grow with it. Learn how Samantha Kramer, Director of Marketing Services at Thomas, worked with her marketing team to automate, package and scale their processes while their new customer base grew by 67% in 1 year.
What's the Career Path to Product Management Like by fmr HSBC PMProduct School
Ryan Feldhoff, former Product Manager at HSBC, talked about how to navigate a large corporate environment as a Product Manager, how to establish accountability and process at a start up and what makes a great Product Manager.
How to Find Success in a Product Manager Role by GoGuardian PMProduct School
GoGuardian is an EdTech company in Los Angeles that scaled from an idea to a $100M company in just over three years with a great deal of ups and downs along the way.
Cody Rice, Product Manager at GoGuardian, talked about the ins and outs from a product perspective without having to make your own mistakes. This includes building an MVP, getting a product to the market, how to hire your product team, and what NOT to do as a Product Manager. But most importantly, when you have cost your company millions, feel like everything is on fire, and are scrambling to keep the plates spinning, how a simple mindset change can provide light years of growth and allow you to find success in your own career.
How to Be a Successful Product Manager by Google PMProduct School
A Product Manager is often referred to as the CEO of the product; we talked about a different view on this analogy and why it might not be the most accurate description. The session provided a brief summary of what the overall job entails for those who aren’t very familiar with it, a typical day in the life of a Product Manager, and the importance of balancing what a Product Manager must achieve. This includes maintaining the product’s strategic outlook and looking after the smallest details in the execution.
How to Develop a Great Product by King Product ManagerProduct School
Main takeaways from this presentation
-The role of a Product Manager in the prototyping / ideation phase
-Opportunity generation
-Hypothesis driven approach for product development
How to Transition into a Product Role by Facebook PMProduct School
Are you interested in transitioning into a product management role?
In this talk, Koren talked about how she transitioned from law to technology, and provided tips on how to get your foot in the door as a new Product Manager. She also covered lessons she's learned as a Product Manager at Dollar Shave Club and Facebook that will help you navigate your first product role.
What Are Machine Learning Models by LinkedIn Sr Product ManagerProduct School
Machine Learning, ML, is a powerful tool for creating dynamic, personalized experiences. But a truly useful ML-based product cannot be created without the right UX and insightful human intervention to avoid embarrassing mistakes. Power of your product is not the Machine Learning model but how thoughtful you were in creating value and making every interaction useful. While building Smart Replies in LinkedIn Messaging, there were numerous ways where Arpit's team enhanced the product using human intervention and Machine Learning models.
How to Find the Dream Product Management Job by fmr TurboVote PMProduct School
This document summarizes a presentation about how to find a dream product management job. It provides an overview of Product School, which offers courses to help people gain product management skills. The presentation discusses common mistakes in job interviews and provides a roadmap for preparation, including resume polishing, practicing answers to common behavioral and product questions, setting up a portfolio, and networking. It emphasizes the importance of practicing interviews and being prepared to sell yourself convincingly to potential employers.
How to Launch Mobile Apps by Oracle Director of Product ManagerProduct School
In the era of Google, Facebook, Uber and Amazon, enterprise users expect deeper interactions and usable interfaces with mobile apps. Suresh took the audience through his experience of the mobile app launch from concept to mature state.
Should it be a single mobile app or multiple apps? Should you first launch on iOS or on Android? Should we release every 3 months, 2 month or every week? Should you market the mobile app separately? How do we get the user feedback? Should it be free or should you price it?
Ask me Anything, with Product Managers from Twitter, VMWare, and BoxProduct School
Ever wondered what it’s like to work as a Product Manager? This was an exclusive Q&A session with Alex Shih, former Twitter Product Manager, May Allen, Product Manager @ Projector and Jeremy Glassenberg, VP of Platform Product @ Pypestream.
They discussed what it’s like to work in this dynamic role and what it takes to get your foot in the door. They also gave the inside scoop on the day-to-day work as a PM, the challenges of the job and personal insight from their experience at working at different companies in the valley.
How to Crack the Product Manager Interview by former Facebook PMProduct School
Interviewing for a Product Manager position is never a piece of cake. It takes experience, spectacular communication skills, and extensive prep. In this session, Valentine Aseyo, former Product Manager at Facebook, shared the golden rules of interviewing that will help score the dream job.
How to Succeed in Product Management by Google Product ManagerProduct School
In this presentation, Subhasish Chakraborty shares the most important traits, attributes and strategies for aspiring Product Managers to succeed in Product Management at different scales. He also shares his own journey from an artist, to an engineer to finally an entrepreneur and Product Visionary.
This document provides an overview of agile project management techniques for instructional designers. It discusses how agile is better suited than traditional models for complex instructional design projects that require flexibility and responsiveness to change. The key aspects of agile covered include iterative development, prioritizing work based on business value, frequent planning and review cycles, and emphasis on collaboration and feedback.
This document discusses coding and why learning to code is important. It argues that coding teaches important skills like problem solving and that there is a high demand for coders. It provides various resources for learning to code like websites, books, and games. It encourages learning to code for both its practical benefits and to unlock one's creativity.
Design Prototypes that Feel Real w/ Proto.io Product EvangelistProduct School
Todd Siegel, Product Evangelist at Proto.io, talked about how learning how to build an app is a process that requires careful planning, with many things needing to be considered. Designing touchscreen apps ultimately demands prototypes that feel real.
Despite this, when aiming for a gesture-driven app with interactive animation, we often couch our design thinking in static design tools. Shouldn't we base our explorations in an interactive animation tool?
Proto.io serves as several visual prototyping tools in one. You can import comps to link into flows, and asset layers to animate. But you can also author assets in high enough fidelity on the fly, and customise native component libraries for iOS, watchOS and Material Design.
What Are the Secrets of Non Technical PMs by Oracle Principal PMProduct School
Although a technical background can be a major asset for Product Managers, it's only one, of many, factors in their success. In this presentation, learn how to navigate a career historically dominated by ex-coders when you have zero technical background.
The document appears to be a survey evaluating a school exchange project between students in Spain and England on the topic of mass media in daily life. The survey collected student feedback on various aspects of the project, including the amount of work done, their motivation level, favorite tasks, cultural and skills learning, use of technology, and organization of exchanges. Based on responses, making new friends and social activities during exchanges like a picnic and water balloon fight were most enjoyed. Students also provided suggestions for spending more time on club projects and doing more linking up throughout the school year via Skype.
How to Prioritize as a Product Leader by Salesforce Dir of PMProduct School
How do some Product Managers drive innovation while others get mired in the day to day? The answer cuts to the core of product management: prioritization.
Alexander taught how to be a true Product Leader by separating the urgent from the important, balancing today's demands against tomorrow's goals, and realizing nothing is indispensable - but everything has consequences.
What to Expect When Transitioning Into a PM Role by EverTrue PMProduct School
How to switch from engineering to product management job? What are the expectations vs. reality of the transition? What are the biggest challenges in the beginning of your PM career? This and more questions will be answered in this presentation given by Sarah Morgan from Evertrue. Enjoy!
How to Succeed as a Non-Technical PM by Spotify's Product OwnerProduct School
Many companies require Product Managers to have a technical background - whether it be a formal Computer Science degree or experience with writing code.
"Over the years I've been self-conscious about my lack of technical background, yet I’ve learned that technical skills aren’t everything when it comes to Product Management." Jori Bell broke down the myth of needing technical skills to be a successful Product Manager.
She talked about how you need to understand the types of skills that will make you a successful Product Manager. She also discussed the importance of bringing non-technical value to a team and how to do it, and how you can build trust with a technical team.
What Is Design Thinking Product Management by LinkedIn Senior PMProduct School
Come hear about Arun's experience building and growing SlideShare to be a top 100 site in the world. He'll talk about how he leveraged a design thinking approach to SEO and organic growth.
Main takeaways:
-Accessibility should never be an afterthought
-Relevance and engagement matter for growth
-Embed and share value across the Web
-Focus on your product’s flywheel
-Information architecture
Working as a PM in a Startup Environment w/ Banjo's PMProduct School
The product manager at Banjo talked about the different skills you need to be successful and how your journey doesn't need to be the same as anyone else.
When starting on your product journey its important to know the differences between startups and larger companies. Matt spoke about his transition into product management at a startup from Google.
Product Management in Startups vs Big Org by Amazon Product LeaderProduct School
The document summarizes key differences between product management in startups versus large organizations. In startups, product managers have more ownership and accountability, with an emphasis on bias for action and solving undefined problems quickly through minimal viable products. In large companies, product management involves managing larger scopes and scales with more defined processes but less autonomy. The document advises determining the right fit based on one's strengths in customer focus, problem-solving, stakeholder management and bias for action. It promotes online courses to build product management skills for various stages of a company.
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.
AI can analyze activity data like emails, meetings, calls and tasks to generate insights about relationships. It identifies important moments in communications and extracts relevant details. These insights are then made actionable by recommending specific next steps based on the context. For example, if pricing is discussed, it may suggest replying with a price list. Relationship insights allow users to better understand connections between people and how they collaborate over time.
How to Develop a Great Product by King Product ManagerProduct School
Main takeaways from this presentation
-The role of a Product Manager in the prototyping / ideation phase
-Opportunity generation
-Hypothesis driven approach for product development
How to Transition into a Product Role by Facebook PMProduct School
Are you interested in transitioning into a product management role?
In this talk, Koren talked about how she transitioned from law to technology, and provided tips on how to get your foot in the door as a new Product Manager. She also covered lessons she's learned as a Product Manager at Dollar Shave Club and Facebook that will help you navigate your first product role.
What Are Machine Learning Models by LinkedIn Sr Product ManagerProduct School
Machine Learning, ML, is a powerful tool for creating dynamic, personalized experiences. But a truly useful ML-based product cannot be created without the right UX and insightful human intervention to avoid embarrassing mistakes. Power of your product is not the Machine Learning model but how thoughtful you were in creating value and making every interaction useful. While building Smart Replies in LinkedIn Messaging, there were numerous ways where Arpit's team enhanced the product using human intervention and Machine Learning models.
How to Find the Dream Product Management Job by fmr TurboVote PMProduct School
This document summarizes a presentation about how to find a dream product management job. It provides an overview of Product School, which offers courses to help people gain product management skills. The presentation discusses common mistakes in job interviews and provides a roadmap for preparation, including resume polishing, practicing answers to common behavioral and product questions, setting up a portfolio, and networking. It emphasizes the importance of practicing interviews and being prepared to sell yourself convincingly to potential employers.
How to Launch Mobile Apps by Oracle Director of Product ManagerProduct School
In the era of Google, Facebook, Uber and Amazon, enterprise users expect deeper interactions and usable interfaces with mobile apps. Suresh took the audience through his experience of the mobile app launch from concept to mature state.
Should it be a single mobile app or multiple apps? Should you first launch on iOS or on Android? Should we release every 3 months, 2 month or every week? Should you market the mobile app separately? How do we get the user feedback? Should it be free or should you price it?
Ask me Anything, with Product Managers from Twitter, VMWare, and BoxProduct School
Ever wondered what it’s like to work as a Product Manager? This was an exclusive Q&A session with Alex Shih, former Twitter Product Manager, May Allen, Product Manager @ Projector and Jeremy Glassenberg, VP of Platform Product @ Pypestream.
They discussed what it’s like to work in this dynamic role and what it takes to get your foot in the door. They also gave the inside scoop on the day-to-day work as a PM, the challenges of the job and personal insight from their experience at working at different companies in the valley.
How to Crack the Product Manager Interview by former Facebook PMProduct School
Interviewing for a Product Manager position is never a piece of cake. It takes experience, spectacular communication skills, and extensive prep. In this session, Valentine Aseyo, former Product Manager at Facebook, shared the golden rules of interviewing that will help score the dream job.
How to Succeed in Product Management by Google Product ManagerProduct School
In this presentation, Subhasish Chakraborty shares the most important traits, attributes and strategies for aspiring Product Managers to succeed in Product Management at different scales. He also shares his own journey from an artist, to an engineer to finally an entrepreneur and Product Visionary.
This document provides an overview of agile project management techniques for instructional designers. It discusses how agile is better suited than traditional models for complex instructional design projects that require flexibility and responsiveness to change. The key aspects of agile covered include iterative development, prioritizing work based on business value, frequent planning and review cycles, and emphasis on collaboration and feedback.
This document discusses coding and why learning to code is important. It argues that coding teaches important skills like problem solving and that there is a high demand for coders. It provides various resources for learning to code like websites, books, and games. It encourages learning to code for both its practical benefits and to unlock one's creativity.
Design Prototypes that Feel Real w/ Proto.io Product EvangelistProduct School
Todd Siegel, Product Evangelist at Proto.io, talked about how learning how to build an app is a process that requires careful planning, with many things needing to be considered. Designing touchscreen apps ultimately demands prototypes that feel real.
Despite this, when aiming for a gesture-driven app with interactive animation, we often couch our design thinking in static design tools. Shouldn't we base our explorations in an interactive animation tool?
Proto.io serves as several visual prototyping tools in one. You can import comps to link into flows, and asset layers to animate. But you can also author assets in high enough fidelity on the fly, and customise native component libraries for iOS, watchOS and Material Design.
What Are the Secrets of Non Technical PMs by Oracle Principal PMProduct School
Although a technical background can be a major asset for Product Managers, it's only one, of many, factors in their success. In this presentation, learn how to navigate a career historically dominated by ex-coders when you have zero technical background.
The document appears to be a survey evaluating a school exchange project between students in Spain and England on the topic of mass media in daily life. The survey collected student feedback on various aspects of the project, including the amount of work done, their motivation level, favorite tasks, cultural and skills learning, use of technology, and organization of exchanges. Based on responses, making new friends and social activities during exchanges like a picnic and water balloon fight were most enjoyed. Students also provided suggestions for spending more time on club projects and doing more linking up throughout the school year via Skype.
How to Prioritize as a Product Leader by Salesforce Dir of PMProduct School
How do some Product Managers drive innovation while others get mired in the day to day? The answer cuts to the core of product management: prioritization.
Alexander taught how to be a true Product Leader by separating the urgent from the important, balancing today's demands against tomorrow's goals, and realizing nothing is indispensable - but everything has consequences.
What to Expect When Transitioning Into a PM Role by EverTrue PMProduct School
How to switch from engineering to product management job? What are the expectations vs. reality of the transition? What are the biggest challenges in the beginning of your PM career? This and more questions will be answered in this presentation given by Sarah Morgan from Evertrue. Enjoy!
How to Succeed as a Non-Technical PM by Spotify's Product OwnerProduct School
Many companies require Product Managers to have a technical background - whether it be a formal Computer Science degree or experience with writing code.
"Over the years I've been self-conscious about my lack of technical background, yet I’ve learned that technical skills aren’t everything when it comes to Product Management." Jori Bell broke down the myth of needing technical skills to be a successful Product Manager.
She talked about how you need to understand the types of skills that will make you a successful Product Manager. She also discussed the importance of bringing non-technical value to a team and how to do it, and how you can build trust with a technical team.
What Is Design Thinking Product Management by LinkedIn Senior PMProduct School
Come hear about Arun's experience building and growing SlideShare to be a top 100 site in the world. He'll talk about how he leveraged a design thinking approach to SEO and organic growth.
Main takeaways:
-Accessibility should never be an afterthought
-Relevance and engagement matter for growth
-Embed and share value across the Web
-Focus on your product’s flywheel
-Information architecture
Working as a PM in a Startup Environment w/ Banjo's PMProduct School
The product manager at Banjo talked about the different skills you need to be successful and how your journey doesn't need to be the same as anyone else.
When starting on your product journey its important to know the differences between startups and larger companies. Matt spoke about his transition into product management at a startup from Google.
Product Management in Startups vs Big Org by Amazon Product LeaderProduct School
The document summarizes key differences between product management in startups versus large organizations. In startups, product managers have more ownership and accountability, with an emphasis on bias for action and solving undefined problems quickly through minimal viable products. In large companies, product management involves managing larger scopes and scales with more defined processes but less autonomy. The document advises determining the right fit based on one's strengths in customer focus, problem-solving, stakeholder management and bias for action. It promotes online courses to build product management skills for various stages of a company.
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.
AI can analyze activity data like emails, meetings, calls and tasks to generate insights about relationships. It identifies important moments in communications and extracts relevant details. These insights are then made actionable by recommending specific next steps based on the context. For example, if pricing is discussed, it may suggest replying with a price list. Relationship insights allow users to better understand connections between people and how they collaborate over time.
Business leaders everywhere are looking to data to inform their decision making. Accompanying this demand are misunderstandings of what it takes to transform data into something that can inform a decision. What is the data infrastructure required? In this talk, I'll dispel some of these misunderstandings and discuss what it takes to build good data infrastructure. I'll discuss the components of a good data infrastructure. The best practices and available tools for gathering data, processing it, storing it, analyzing it and communicating the results. The goal is for these components to create a data infrastructure which can evolve from simple reporting to sophisticated insights for decision making.
Presented at OpenWest 2018
SPT 104 Unlock your big data with analytics and BI on Office 365Brian Culver
SharePoint Fest Denver 2016
SPT 104 - Unlock your Big Data with Analytics and BI on Office 365
Brian Culver, MCM - Invited Speaker
Companies have huge amounts of data waiting to be explored. With Azure HDInsights you can realize the value of your data. With Microsoft Excel 2013 and Office 365, you have a complete platform for BI solutions and services. Power BI allows companies to manipulate and study a variety of data points, gain actionable insights and share their insights. PowerPivot, Power View, Power Query, Power Map and Power BI Sites let users analyze and make decisions using structured and unstructured data.
Attendee Takeaways:
1. Learn to setup and configure HDInsights on Microsoft Azure.
2. Understand how to use Excel for BI capabilities.
3. Build a BI Dashboard in Office365.
SPS Utah 2016 - Unlock your big data with analytics and BI on Office 365Brian Culver
This document summarizes Brian Culver's presentation on unlocking big data with analytics and business intelligence on Office365. The presentation agenda includes an introduction to big data, understanding sentiment analysis, connecting big data and BI, creating an Azure HDInsight cluster, loading and validating data, Hadoop and C#, and visualizing results with PowerView. Culver then shares closing comments on understanding customers through big data and ensuring projects have a clear ROI.
Advanced Project Data Analytics for Improved Project DeliveryMark Constable
Data Analytics is already beginning to impact how projects are delivered. We can now automate minute taking and capturing actions, we can use Flow to progress chase, Power BI reduces the burden of reporting.
But we are just scratching the surface. It won’t be long before we can leverage the rich dataset of experience to predict what risks are likely to occur, understand which WBS elements will be susceptible to variance, deduce what the optimum resource profile looks like, define a schedule by leveraging data from those projects that have gone before.
The role of a project professional is about to change dramatically. In this webinar we will explore the challenges and opportunities, and how we should respond. It’s a call-to-action for the community to mobilise, help to reshape project delivery and understand the implications for you and your organisation.
Presenter Martin Paver is a Chartered Project Professional, APM Fellow and Chartered Engineer. In December 2017 he established the London Project Data Analytics meetup which has quickly spread across the UK and expanded to 3000+ members. Martin has major project experience including leading a $billion projects with a team of 220 and a multi-billion PMO with a team of 50. He has a detailed grasp of project management and combines this with a broad understanding of recent developments in the field of data science. He is on a mission to ensure that the project management profession readies itself for a transformed future.
Learning outcomes:
- Understand the implications of advanced data analytics on project delivery
- Understand the scope of which functions it is likely to impact
- Help you to develop a strategy for how you engage with it
- Understand how to leverage the benefits and opportunities that will emerge from it
Presenter:
Martin Paver, CEO & Founder, Projecting Success Ltd
Unlock your Big Data with Analytics and BI on Office 365Brian Culver
Companies have huge amounts of data waiting to be explored. With Azure HDInsights you can realize the value of your data. With Microsoft Excel 2013 and Office 365, you have a complete platform for BI solutions and services. Power BI allows companies to manipulate and study a variety of data points, gain actionable insights and share their insights. PowerPivot, Power View, Power Query, Power Map and Power BI Sites let users analyze and make decisions using structured and unstructured data.
Attendee Takeaways:
1. Learn to setup and configure HDInsights on Microsoft Azure.
2. Understand how to use Excel for BI capabilities.
3. Build a BI Dashboard in Office365.
How to Use A/B Testing to Create Growth by fmr Staples PMProduct School
A/B testing is an experimentation practice that helps to unlock the full potential of a growth marketing program. Regardless of your company’s business goals, deciding what you will test should be founded in what’s going to move the needle up and to the right for your team.
This talk dove into how you can build a high-velocity testing program, why being data driven can help you avoid costly product design mistakes, as well as which experiments won at top companies.
This document provides an introduction and overview of a summer school course on business analytics and data science. It begins by introducing the instructor and their qualifications. It then outlines the course schedule and topics to be covered, including introductions to data science, analytics, modeling, Google Analytics, and more. Expectations and support resources are also mentioned. Key concepts from various topics are then defined at a high level, such as the data-information-knowledge hierarchy, data mining, CRISP-DM, machine learning techniques like decision trees and association analysis, and types of models like regression and clustering.
Intro to Data Analytics with Oscar's Director of ProductProduct School
The Director of Product at Oscar, Vasudev Vadlamudi, went over key types of quantitative analysis that B2C product managers use on the job including: funnels, cohorts, and a/b testing. For each one he looked into when and why they are used, and used examples.
Data Analytics Course in Coimbatore-AprilDataMites
Data analytics is the process of examining large datasets to uncover patterns, trends, correlations, and other insights that can be used to make informed business decisions.
For more info visit: https://datamites.com/data-analytics-certification-course-training-coimbatore/
Analytics & Data Strategy 101 by Deko DimeskiDeko Dimeski
- Understand why each company needs solid analytics and data strategy & capabilities
- Typical data problems each company experiences, regardless of the scale
- Core competences and roles
- Analytics products and artefacts
- Analytics Usecases
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Cloud Analytics, Inc.
The document discusses how organizations can fund their big data and analytics initiatives through incremental revenues, cost savings, and more effective marketing spending. It outlines typical stages in a company's analytics journey and provides case studies showing how analytics has been used to increase revenues by 2.5x, decrease costs by $2,190, and improve customer satisfaction by 63%. The key message is that most companies are not fully leveraging the data they already have and that properly implemented analytics can significantly improve customer engagement and drive strong returns.
Steve Maclaren - Robotics and AI in project management: The future:
The APM Scotland Branch have continued the face-to-face Branch Conference series with a full day event on 7 September 2023.
Considering our ever changing environment is a vital skill for a Project Manager as they bring together a wide range of knowledge and expertise to fulfil projects in an ever evolving world where data, artificial intelligence and sustainability all play an important part
Steve Maclaren - APM Scotland Branch Conference 2023: Net Zero Nation and Sus...APMDonotuse
Steve Maclaren - Robotics and AI in project management: The future:
The APM Scotland Branch have continued the face-to-face Branch Conference series with a full day event on 7 September 2023.
Considering our ever changing environment is a vital skill for a Project Manager as they bring together a wide range of knowledge and expertise to fulfil projects in an ever evolving world where data, artificial intelligence and sustainability all play an important part
Certified Data Analytics Course in Chennai-AprilDataMites
Data analytics is the process of examining large datasets to uncover patterns, trends, correlations, and other insights that can be used to make informed business decisions.
For more info visit: https://datamites.com/data-analytics-certification-course-training-chennai/
Certified Data Analytics Course in Chennai-AprilDataMites
Data analytics is the process of examining large datasets to uncover patterns, trends, correlations, and other insights that can be used to make informed business decisions.
For more info visit: https://datamites.com/data-analytics-certification-course-training-chennai/
Big Data LDN 2018: THE PATH TO ENTERPRISE AI: TALES FROM THE FIELDMatt Stubbs
Date: 14th November 2018
Location: AI Lab Theatre
Time: 11:50 - 12:20
Speaker: Romain Fouache
Organisation: Dataiku
About: Enterprise AI is a target state where every business process is AI-augmented and every employee is an AI beneficiary. But is that really attainable? And, if so, what is the path to get there? In this talk, Kurt Muehmel, VP Sales Engineering at Dataiku, will share learnings from the field, describing how companies of different sizes and across different sectors have begun this journey. Some are farther along than others, and by making the right decisions now and avoiding stumbling blocks, you can to supercharge your quest to this AI-fuelled future.
How GetNinjas uses data to make smarter product decisionsBernardo Srulzon
GetNinjas is a platform that connects customers needing services with professional service providers. Business intelligence plays a key role in optimizing the customer experience by measuring metrics at each step of the customer lifecycle. GetNinjas implemented Snowplow, an open source product analytics platform, to gain more granular insights from their data compared to limitations of Google Analytics. They structure their data team within cross-functional squads and aim to empower other teams to create and validate hypotheses for smarter decision making.
Similar to How to Use Data Effectively by Abra Sr. Business Analyst (20)
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - TechProduct School
The document discusses prioritizing a product roadmap by selecting parameters, scoring features, and mapping them on a value vs effort framework. It recommends clearly defining roadmap objectives, choosing a customizable framework like value vs effort, selecting parameters like revenue and customer needs for scoring features, and categorizing investments as strategic, easy wins or maintenance based on the scoring to effectively set the product direction.
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...Product School
This document discusses harnessing the power of generative AI to improve product outcomes. It describes generative AI as a type of machine learning that allows computers to generate new and original ideas, like a creative chef using knowledge gained from recipes. The author discusses opportunities for generative AI across major business areas like demand generation, productivity, and products. Specific opportunities for Booking.com are explored, like better understanding customer intent and personalized recommendations. The author's vision is for systems that understand users in their natural language and help shape trip intent in a dynamic way that best serves customer needs.
Relationship Counselling: From Disjointed Features to Product-First Thinking ...Product School
The document discusses how Adyen improved its products by shifting from disjointed feature development to product-first thinking. Previously, Adyen had too many OKRs, complex metrics, and local success metrics that led to isolated components and fragmented experiences. It moved to fewer prioritized OKRs, global metrics, and end-to-end product management. This unified its offerings, improved the customer experience, and increased full funnel conversion rates by up to 300 basis points through its integrated risk, authentication, and optimization products working holistically.
Launching New Products In Companies Where It Matters Most by Product Director...Product School
This document discusses lessons learned from launching new products at large companies. It outlines three key lessons: 1) Figure out a clear strategic "why" for the new product that aligns with the company's overall strategy. 2) Really listen to stakeholders across the organization to understand their needs. 3) Assemble a cross-functional team that can get support and input from different parts of the organization, but isn't too large that it becomes unwieldy. The document emphasizes the importance of understanding strategic context, stakeholder needs, and effective team composition for successful new product launches at established companies.
Revolutionizing The Banking Industry: The Monzo Way by CPO, MonzoProduct School
Monzo is revolutionizing the banking industry by taking a customer-first approach called "The Monzo Way." This involves starting from first principles, building products through constant dialogue with users, and piloting internally before growth. Monzo gathers extensive customer feedback and has conducted over 500 research interviews and reports. It strives for industry-leading customer service and uses this research to develop innovative new products for investments and home ownership tailored to customer needs. Monzo's community-focused approach has helped it become the UK's highest rated bank for overall service quality for four years running.
Synergy in Leadership and Product Excellence: A Blueprint for Growth by CPO, ...Product School
This document discusses synergy between leadership and product excellence. It provides a blueprint for growth with three pathways: 1) an agile, retrospective culture, 2) rapid learning and experimentation, and 3) transparency and feedback culture. Ultimately, career fulfillment comes from aligning skills and passions, whether as an individual contributor or manager, by embracing what brings joy and taking a holistic approach to growth.
Act Like an Owner, Challenge Like a VC by former CPO, TripadvisorProduct School
The document discusses how product teams can act like owners and investors to maximize returns. It recommends following three principles: 1) The investment principle - treat time as an investment that should generate ROI. 2) The capping principle - limit ambitions based on discovery. 3) The portfolio principle - allocate resources across a portfolio of high-risk/high-reward, medium-risk, and low-risk/low-hanging fruit initiatives based on their potential ROI. Managing product work like a VC portfolio can help product teams act like owners and challenge stakeholders to seek maximum returns.
The Future of Product, by Founder & CEO, Product SchoolProduct School
Product teams will need to contribute directly to revenue growth, not just user value. They will sit at the intersection of technology and business. Artificial intelligence will allow product teams to do more with less people by automating tasks and providing insights. To succeed in this new era, companies must empower their product teams with the right skills and integrate them closely with other functions like marketing, sales, and customer success.
Webinar How PMs Use AI to 10X Their Productivity by Product School EiR.pdfProduct School
Explore AI tools hands-on and smoothly integrate them into your work routine. This practical experience is here to empower you, offering insights into the mindset of successful Product Managers. Learn the skills to become a more effective Product Manager.
Main Takeaways:
Hands-On AI Integration:
Learn practical strategies for integrating AI tools into your workflow effectively.
Mindset Insights for Success:
Gain valuable insights into the mindset of successful Product Managers, unlocking the secrets to their achievements.
Skill Empowerment for Growth:
Acquire essential skills that empower your evolution toward becoming a more effective and impactful Product Manager.
Webinar: Using GenAI for Increasing Productivity in PM by Amazon PM LeaderProduct School
In this webinar, you will learn how AI can take work off your plate, allowing you to focus on deep thinking or critical work. Cut out the drudge work in Product Management and get more out of your day.
Learnings:
Improve workflows that are high frequency - "manual tasks"
Increase the quality of output that has high importance - "brainy tasks"
Put GenAI to work today
Unlocking High-Performance Product Teams by former Meta Global PMMProduct School
Main Takeaways:
- High-Performing Team Dynamics: You’ll gain insights into fostering high-performance teamwork.
- Unveiling Team Personas: You’ll learn about different personas in the team and how to foster these differences.
- Decoding the Team Needs x Productivity Equation: You’ll learn about different team needs and how they correlate with engagement and productivity.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
11. Background
● Born and raised in Los Angeles
● Graduated Princeton University in 2013
○ Majored in Operations Research and Financial Engineering
○ Competed for the college swim team
● Worked on Wall Street as an Analyst at Citigroup
● Joined Zoomer Delivery
○ Was a City Launcher who launched the Chicago and Boston markets
○ Transitioned to being a Data Analyst
● Scale operations with Abra
○ Develop and scale company’s analytics capabilities
○ Optimize and automate operational processes
13. ● Because the world of data is vast, where and how do I start?
○ What tools are available to me and which ones are the most useful?
○ Who are data professionals, and what do they do?
○ How can I develop a data driven culture in my organization?
How do I get started?
14. ● Because the world of data is vast, where and how do I start?
○ What tools are available to me and which ones are the most useful?
○ Who are data professionals, and what do they do?
○ How can I develop a data driven culture in my organization?
How do I get started?
Start small and continuously build on your
experiences!
16. How can I develop data skills?
● There are many tools out there for many different purposes:
○ Basic data modeling and ad hoc analysis
■ Microsoft Excel and/or Google Sheets
17. How can I develop data skills?
● There are many tools out there for many different purposes:
○ Basic data modeling and ad hoc analysis
■ Microsoft Excel and/or Google Sheets
○ Large data aggregation and queries
■ SQL
18. How can I develop data skills?
● There are many tools out there for many different purposes:
○ Basic data modeling and ad hoc analysis
■ Microsoft Excel and/or Google Sheets
○ Large data aggregation and queries
■ SQL
○ Advanced data analytics
■ Python, R or Matlab
19. How can I develop data skills?
● There are many tools out there for many different purposes:
○ Basic data modeling and ad hoc analysis
■ Microsoft Excel and/or Google Sheets
○ Large data aggregation and queries
■ SQL
○ Advanced data analytics
■ Python, R or Matlab
○ Visualization
■ Periscope, Tableau or Shiny
21. Data professionals in an organization
● Data engineers and data architects
○ Develop, build, deploy and maintain data assets
22. Data professionals in an organization
● Data engineers and data architects
○ Develop, build, deploy and maintain data assets
● Data analysts
○ Understand the data assets of the business
○ Bridge between the data assets to various business divisions
○ Perform analysis that are used to drive various business decisions
23. Data professionals in an organization
● Data engineers and data architects
○ Develop, build, deploy and maintain data assets
● Data analysts
○ Understand the data assets of the business
○ Bridge between the data assets to various business divisions
○ Perform analysis that are used to drive various business decisions
● Data scientists
○ Are extremely technical
○ Mine for deep insight in large datasets
○ Constantly looks for obscure patterns that will add value to the business
27. Steps to telling a good story:
1. Define the question
2. Determine key factors affecting the system
Source: Turning Numbers into Knowledge by Jonathan G. Koomey
28. Example (cont.):
N. America Lat. America Europe Asia
App Downloads
Signup Rate
Activation Rate
Retention (LTV)
29. Steps to telling a good story:
1. Define the question
2. Determine key factors affecting the system
3. Evaluate factors by importance and uncertainty
Source: Turning Numbers into Knowledge by Jonathan G. Koomey
30. Example (cont.):
N. America Lat. America Europe Asia
App Downloads
Signup Rate
Activation Rate
Retention (LTV)
32. Steps to telling a good story:
1. Define the question
2. Determine key factors affecting the system
3. Evaluate factors by importance and uncertainty
4. Choosing the scenarios and adding details to the scenario set
Source: Turning Numbers into Knowledge by Jonathan G. Koomey
34. Example (cont.):
Abra Baseline
Expand into
new region
Scenario 2 Scenario 3
App
Downloads
A A + ∆
Signup Rate B% B%
Activation
Rate
C% C%
Retention
(LTV)
$D $D
35. Example (cont.):
Abra Baseline
Expand into
new region
Optimize user
experience
Scenario 3
App
Downloads
A A + ∆ A
Signup Rate B% B% B% + ∆%
Activation
Rate
C% C% C% + ∆%
Retention
(LTV)
$D $D $D
36. Example (cont.):
Abra Baseline
Expand into
new region
Optimize user
experience
Add to new
investments
App
Downloads
A A + ∆ A A + ∆
Signup Rate B% B% B% + ∆% B%
Activation
Rate
C% C% C% + ∆% C%
Retention
(LTV)
$D $D $D $D + $∆
37. Steps to telling a good story:
1. Define the question
2. Determine key factors affecting the system
3. Evaluate factors by importance and uncertainty
4. Choosing the scenarios and adding details to the scenario set
5. Determine the implications
Source: Turning Numbers into Knowledge by Jonathan G. Koomey
38. Example (cont.):
Abra Baseline
Expand into
new region
Optimize user
experience
Add to new
investments
App
Downloads
A A + ∆ A A + ∆
Signup Rate B% B% B% + ∆% B% + ∆%
Activation
Rate
C% C% C% + ∆% C% + ∆%
Retention
(LTV)
$D $D $D $D + $∆
39. Example (cont.):
Abra Baseline
Expand into
new region
Optimize user
experience
Add to new
investments
App
Downloads
A A + ∆ A A + ∆
Signup Rate B% B% B% + ∆% B% + ∆%
Activation
Rate
C% C% C% + ∆% C% + ∆%
Retention
(LTV)
$D $D $D $D + $∆
Revenue Uplift R $R + $∆1 $R + $∆2 $R + $∆3
40. Steps to telling a good story:
1. Define the question
2. Determine key factors affecting the system
3. Evaluate factors by importance and uncertainty
4. Choosing the scenarios and adding details to the scenario set
5. Determine the implications
6. Define metrics for success
Source: Turning Numbers into Knowledge by Jonathan G. Koomey
42. ● Data literacy is becoming a requirement in business
○ Everyone should be a data professional
● Keep up with various data tools out there to give yourself
competitive advantages
● Seek out knowledge!
44. www.productschool.com
Part-time Product Management, Coding, Data, Digital Marketing and
Blockchain courses in San Francisco, Silicon Valley, New York, Santa
Monica, Los Angeles, Austin, Boston, Boulder, Chicago, Denver,
Orange County, Seattle, Bellevue, Toronto, London and Online
Editor's Notes
Graduated from Princeton in 2013 with an Operations Research and Financial Engineering Degree
People would ask, what does this major entail, and to simply put it, its a major that combines statistics, computer programing and economics into one
Following Princeton, I decided to venture out into the world of finance.
I joined a banking group at Citigroup in NYC.
Although it was not data heavy at first, I had access to a vast amount of data, from Bloomberg terminals, client data, and data from past transactions in our space.
So as I started to create marketing and pitching materials for our clients, I saw how powerful numbers and analyses are in terms of winning client business
Instead of pitching a major client like Ford, issuance recommendations based on a gut feeling, creating succinct and accurate market and competitor analysis really establishes us as an industry authority which then gives us a competitive advantage when winning over clients
Following Citi, I worked in more traditional data roles with Zoomer Delivery and currently here with Abra.
These two companies were fairly early in their lives so I had the opportunities to work with teams across the board, from operations, marketing, engineering and last but not last, product.
Because the companies were so small, I had the rare opportunity to see how different teams leverage data:
marketing uses data to target and influence user behavior
operations and engineering uses data for optimizing existing infrastructure and keeping the business running,
product uses it to research customer and market opportunities to build great products.
But despite working so cross functionally, the same theme keeps coming up again and again: the one who could leverage data the best is usually the one who always had the most clout in the room, and by that, I mean he/she usually had the most compelling and persuasive argument in the room.
Data can be daunting.
Many companies are moving to be “Data driven” but what does that mean?
How can you be prepared for a changing business landscape where data is quickly becoming king?
For those who do not have a strong background in data, scripting or coding, finding and learning the various tools of the trade can be daunting.
My development in the various tools were not formal, as I discovered and learned to use much of these tools on the job or on my free time.
With that, I want to share some of this experiences with you to help you both focus some of your short term data development and hopefully give you a starting point that will lead you to explore other tools that exist in the data and analytics industry
To start, I recommend getting acquainted with Microsoft Excel or Google Sheets
These two tools are extremely useful to analyze small to medium sized data sets
Additionally, these tools are quite useful in helping you build data models before implementing them in more advanced tools
However there are limitations:
Google Sheets and Excel are not good for large data set analysis.
For example, Google Sheets has a 2 million cell limit
There are better tools for this
Skills that are good for large data analysis will revolve around SQL.
SQL is a tool that will allow you to join various data sources, perform aggregations (sum, average, min, max) and manipulate large data sets for exporting.
A few lines of SQL code can allow you to find out high level to fairly granular data quite quickly
For example, you have a table in the database that has all the sales that occur within your business. You can determine:
The region with the highest sales
Your top 50 most valuable customers
And in some instances, the times of the year when the business sees the highest sales volume
There are a few nuances and limitations to these languages that can be frustrating for those trying to learn SQL
There are a few SQL based languages out there - postgres, MySQL, Redshift - that may have syntaxical differences to keep in mind, but as a whole do the exact same thing
Advanced analytics, such as identifying treadlines and developing predictive analytics is extremely difficult to do in SQL
This is where scripting languages come in.
Of the tools listed here, Python and R is free and are both very powerful for advanced analytics. Matlab is a paid tool and used quite frequently in academia
These tools have many free importable libraries, which are mainly functions, that will enable you to both manipulate data in a more complex way and implement algorithms (e.g. Machine Learning) to find deeper insights from your data sets
Take for example, I have a large dataset of commodities prices and S&P 500 closing price. I can easily implement some code to help me determine how correlated commodity prices are in relationship to how volatile the broader market is.
However, no matter how good the analysis is, it is difficult to show your results with just numbers alone. Data visualization helps with this. You can write additional code in Python, R and Matlab, but there are more user friendly platforms that will allow you to do this.
All these tools listed here (although there are many out there) specialize in being a one stop shop for your data.
You can query, manipulate and visualize your data in one single product.
User interfaces here are very user friendly to help less technical people perform quite advanced analytics
As with all things, it is always important to get feedback for your analysis. Although you can learn and implement these tools, there are many pitfalls where your analysis could mean different things
Sanity check numbers and get implementation feedback from ore technical individuals within your organization
Although there were many different tools discussed in the previous section, chances are there are many individuals in your organization that you can leverage in helping you implement these tools in your own day to day. We will summarize them here
First of all, data engineers and data architects.
These are the professionals who develop, build and maintain the company’s data assets. In other words, they build the data infrastructure of the company.
They are extremely helpful for helping you understand how the data infrastructure works. For example:
They can help you understand the links between tables within a database or help you understand what table values or columns mean in relation to laymen business definitions
Data analysts (or sometimes business analysts) are those who translate data into something that people who are not as familiar with data can understand.
A good business analyst are able to work with data engineers effectively to understand the company data infrastructure
Subsequently, they are able to use that knowledge to determine information that will help make everyday business decisions
A business/data analyst is a good resource to look for high level reporting that can give you good insight into the the happenings of the business
Lastly, we have Data Scientists
These professionals implement scientific methods and algorithms for data analysis
Data scientists perform a lot of Machine Learning algorithms to help companies constantly monitor trends in their businesses and industries they opperate in
Examples of analysis that data scientists will perofrm:
Use user details and behavior data to assess the probability of a sale
Use user past behavior to suggest recommendations
In conclusion here, there are many professionals in your organization who specialize in various data verticals. Understanding what they do and knowing how to leverage them effectively can ultimately help you be more effective in your own role.
Now I have talked a bit about what tools we can use to analyze data and who we can talk with in our organizations about data, how can we personally be more data driven.
I believe the answer to that is to alter our own paradigms to use data to tell stories.
Whether we want to convince the head of sales to expand to a new region, or asking the operations director to switch to a new vendor that will reduce cost, data will enable you to be more persuasive by helping you develop compelling argument with hard evidence.
Being data driven means being structured in how you approach using data to tell your story.
It helps ensure that your analysis methods are robust and easy to relay to those who are not performing the analysis themselves
The framework that I will discuss is adapted from Jonathan Koomey’s book Source: Turning Numbers into Knowledge
Questions could include:
Where should the company expand into next?
Which business partner is the most strategic for our business?
And for or example, and probably is what most companies ask themselves these days: Which product feature(S) will impact the business the most?
In order to determine the scenarios or decisions that we want to analyze, we want to be able to find a set of factors that would be affected given the scenarios
This is particularly important, as it will let us compare our scenarios apples to apples
If this is not clear, dont worry, it will be as we go through the next few steps
For the example at Abra, as we are focused on our question on identifying high impact product features, the best way to assess them is how they affect our user funnel.
In our funnel, from a high level can include country or regional numbers for downloads, signup rates, first-transaction rates, and lastly retention in the form of customer Lifetime Value
Once you have identified key factors affecting the system that your decision affects, it is important to evaluate which factors are the most important ones
This is important for many reasons but the one that comes top of mind:
Sometimes you have to build models to realistically see how decisions will affect that factor
Given that, some factors are hard to account for or are highly uncertain given the amount of information you have
Given the example earlier with Abra, when we start our analysis, we do not have enough data to model how our product will perform in various regions
Given this, we decided that we will not include regional analysis but rather simplify the effects to how it changes the various factors at an overall company level
The variables in the baseline columns reflect basic levels that we think will get affected by the decisions that we are evaluation as part of this process
I have replaced the other columns with scenarios, which i will explain in the following slides
Given the original question that we defined, we must come up with a scenario set (or set of options) that we want to evaluate and make decisions on.
We use the factors that we determined in the previous step to help us out.
To apply this to Abra, we want to see what scenarios (or product features) we want to analyze based on these factors we want to affect.
As a product, we have many different ways we can improve and expand the product.
Our first scenario or product expansion could be adding new user support in a new region
Given the factors that we have defined, we determine through our models and assumptions that we could increase the overall number of downloads that we would get in a month by some delta amount noted in the table
Our second option could be optimizing the user signup experience
Our hope here is that this initiative could increase the signup completion rate and have trickle down effects that would also help us improve the activation rate of these new customers
Lastly, as a crypto investment app, another way would could provide value to our customer is by add additional assets customers can invest in
In our eyes, this addition will help increases the number of downloads by tapping into a user base who is interested in that particular added asset
Additionally, because the added group is a more targeted audience, this would also have an added positive effect on improving user retention
Once we have determined the scenario sets and how we believe each scenario would affect our key factors, we need to determine a metric that normalizes all these changes so we can compare the implications of each scenario.
The way you would do this would vary depending on the question you are trying to answer
For example, if you were a part of a taskforce responsible for lowering the carbon footprint of your company, the metric would most likely be the percent reduction in carbon emissions by the company year over year
Now, I want to bring this back to our Abra example. Given our factors, we could calculate the various factor changes would in theory have on the revenue of the company.
In observing our funnel, you can see how likely app downloads could convert into an activated user. Subsequently, you can then use the expected LTV to determine the revenue contribution that activated user will have for Abra
Given this, we can calculate from a high level how these changes could result in an uplift in the overall company revenue
By being able to come up with a standardized way of looking at projects all vying for company resources, we can then prioritize which projects to work on in the coming months
Last but not least, we want to track the results of our decisions.
This will allow us to evaluate and recalibrate our methodologies and assumptions so that when we perform our next iteration of the process, we can get better at figuring out what data models best help us make good product decisions at the end of the day.
As businesses evolve, it is important to be literate in data and data terms.
Because professionals are confronted with data everywhere, everyone should be a data professional.
Everyone should have the basic skill to be able to take some data and make sense of it
As company data needs get more complex, tools will evolve as a result. It is important to understand the tools available and which ones would be beneficial for your organization
Lastly, seek out knowledge! The world of data is quite large and daunting but there are so many resources out there to get you started!
I hope that if there is anything you can take away from my talk, I hope i have given you a seed to help you grow the data and analytics tools that you will nurture as you grow your career. Thank you!