Setting up a correct plan with statistics can be hard for a number of reasons. This presentation is a primer about good use of statistics and setting up a correct plan for using statistics in a UX environment.
Data Fundamentals
• The value of a good metric
• What makes a good analysis
• When you should talk to users vs. relying on data
• How to measure anything
• Superforecasting has come to Silicon Valley: build the future by predicting it
Danny Hernandez, an early Data Scientist at Twitch, gave this talk at The Data & Design Series.
https://www.eventbrite.com/e/the-data-design-series-tickets-30443948670
DevOps Days SLC 16: Stop running with sharp metricsJulia Wester
There are a thousand metrics floating around and it is difficult to tell what is truly important. Whether you’re the person who is being measured by something that doesn’t quite make sense or the leader that is trying to figure out just how the heck to show to others that her team is successful, there are a lot of questions out there and a lot of people that are just feeling injured by metrics.
Julia Wester will share examples of good and bad techniques for using data when coaching teams. Come, listen and learn how to avoid the pitfalls of managing by numbers, including how to identify and avoid vanity metrics, how to choose metrics that drive desired behaviors, and ways to visualize balanced team metrics that enable continuous improvement.
Using real-time data effectively in a crisis management situation - Alex SteerAlex Steer
Social media has lots of interesting new ways of ruining your day. Any brand or organisation can suddenly find itself in a crisis. The availability of huge volumes of real-time data can make the situation better, or worse. It all depends on how you use it - to keep people focused, make decisions and measure progress. This is a guide to making the most of data to get through a crisis, and move on.
By Alex Steer, Strategy Director at Fabric Worldwide. Presented to the Market Research Society in January 2014.
Data Fundamentals
• The value of a good metric
• What makes a good analysis
• When you should talk to users vs. relying on data
• How to measure anything
• Superforecasting has come to Silicon Valley: build the future by predicting it
Danny Hernandez, an early Data Scientist at Twitch, gave this talk at The Data & Design Series.
https://www.eventbrite.com/e/the-data-design-series-tickets-30443948670
DevOps Days SLC 16: Stop running with sharp metricsJulia Wester
There are a thousand metrics floating around and it is difficult to tell what is truly important. Whether you’re the person who is being measured by something that doesn’t quite make sense or the leader that is trying to figure out just how the heck to show to others that her team is successful, there are a lot of questions out there and a lot of people that are just feeling injured by metrics.
Julia Wester will share examples of good and bad techniques for using data when coaching teams. Come, listen and learn how to avoid the pitfalls of managing by numbers, including how to identify and avoid vanity metrics, how to choose metrics that drive desired behaviors, and ways to visualize balanced team metrics that enable continuous improvement.
Using real-time data effectively in a crisis management situation - Alex SteerAlex Steer
Social media has lots of interesting new ways of ruining your day. Any brand or organisation can suddenly find itself in a crisis. The availability of huge volumes of real-time data can make the situation better, or worse. It all depends on how you use it - to keep people focused, make decisions and measure progress. This is a guide to making the most of data to get through a crisis, and move on.
By Alex Steer, Strategy Director at Fabric Worldwide. Presented to the Market Research Society in January 2014.
D. Aitcheson. How to make forecasts that are actually accurate.Agile Lietuva
If you're fed up with endless arguments, over whether a story should be 3 points or 5 points? Irritated with having to provide estimates to your management that you know are probably going to be wrong? We investigated that there's a BETTER WAY. Can we make the unpredictable world of product development a little more predictable?
Top #AI, #Data, #Analytics & #Leadership posts of the week! Happy Mother's Day!
76% think #AI will be most #disruptive, ahead of #Blockchain and #IoT. Thanks, Mike Quindazzi for the share. Kudos to PwC's Colin Wittmer and Curt Moldenhauer for the research. -> https://bit.ly/3duDIAz
Harvard Business Review #MUSTREAD: Building "#DataDriven Culture from the Ground Up". Reminds me of Conny Björling's #journey and #analytics #prowess @ Skanska. -> https://bit.ly/3cmDNGn
How To Communicate Your "Why": #Leaders often overlook answering "The Why" because they think that explaining "The What" & "The How" is the fastest way to #getthingsdone. THEY ARE #WRONG. Thanks Nancy Duarte! -> https://bit.ly/2Lh6vg6
How To Be "Virtually UnStoppable". #Zoom #bestpractices @ https://bit.ly/2S83z9q
The Analytics Summit 2020: "The Story Behind The Story @ https://bit.ly/3bpdlLa via Bob Evans
Want to be the first to get these weekly updates? Subscribe @ https://bit.ly/2ywUkby
Be #AIDriven and see you next week!
So much attention is focused on how technology makes us sad, lonely, addicted, lazy, and maybe a little stupid. At the same time, we know that technology is actually making all of us feel smart, whole, and connected. What if we could intentionally design technologies for positive emotions and positive outcomes? This is at the heart of happy design.
Learn how to measure for the one thing that matters - happiness - and how to identify the five elements of positive design.
Really simple analysis for extremely powerful insights - Data CurryData Curry
I was taught to always spend quality time with data; you know, asking questions and exploring answers, prior to starting complex modelling on the same. I was told, rightly, that this exercise would give me the needed comfort and intuition with the data
4 Ways to Make your Brain More Vibrant with VisualsImageThink
4 ways to maximize your brain power with simple visual exercises. Get the highlights of ImageThink Co-founder and principal, Nora Herting talk at this year's SXSW Interactive festival.
SIT Career Nexus 2017 - Voices of ExperienceMcKhay Han
Sharing from experience to SIT Computing Science students in preparing them for making their first step from academic to real-world application of their knowledge and skills acquired over the years. The key focus is ensuring the students understand they are at the perfect junction of an industrial revolution and the possibility ahead of them is just unlimited.
Digital Analytics When Your Website Isn't "Top Dog"Michele Kiss
Digital Analytics is far simpler when your website is your main conversion point. But how do you measure success when your website plays only a minor role in your overall digital ecosystem? This presentation looks at how you define more holistic campaign KPIs, to measure success across channels like social and mobile, in conjunction with your website.
As content marketers, we're rich with data but still far too poor with insights. Find out how to see both the forest and the trees, and to create "lead" metrics that look forward, instead of always just measuring success and failure in the past.
Our presentation for April Specia Conference about new ways for companies to reach their audience online in the era of digital detox. Tools, analysis, big data, various cases and much more.
What Analytics Won't Tell You: Get Essential Insights for Content and DesignMelissa Eggleston
Analytics alone leave out the context and “the why” of people’s behavior. Learn practical ways to supplement your analytics and make smarter decisions about the content and design of your websites and apps.
What the Quantified Self Movement Teaches Us About Analytics, Marketing and P...Michele Kiss
At the intersection of fitness, analytics and social media, a new trend of “self-quantification” is emerging. Devices and Applications like Jawbone UP, Fitbit, Nike Fuel Band, Runkeeper and even Foursquare are making it possible for individuals to collect tremendous detail about their lives: every step, every venue visited, every bite, every snooze. What was niche, or reserved for professional athletes or the medically-monitored, has become mainstream, and is creating a wealth of incredibly personal data.
This presentation discusses what this emerging trend teaching us about the practice of analytics, the marketing opportunities that arise and the implications for privacy around this very, very personal data.
E-mail Marketing 3.0 is coming: Are you ready?Alchemy Worx
E-mail Marketing 1.0 was batch and blast. E-mail Marketing 2.0 – where we are now – is all about utilising Big Data to segment and target campaigns and use triggered e-mails based on subscriber behaviour. So what’s the next step for e-mail marketing? In his presentation, Dela talks about E-mail Marketing 3.0 and shows how smart marketers have started to move beyond purely reactive campaigns to a more proactive approach where e-mail is also used to create demand for your products and services. Find out how to leverage the power of e-mail within your own programme to make your subscribers more likely to pick your products and services than your competitors.
D. Aitcheson. How to make forecasts that are actually accurate.Agile Lietuva
If you're fed up with endless arguments, over whether a story should be 3 points or 5 points? Irritated with having to provide estimates to your management that you know are probably going to be wrong? We investigated that there's a BETTER WAY. Can we make the unpredictable world of product development a little more predictable?
Top #AI, #Data, #Analytics & #Leadership posts of the week! Happy Mother's Day!
76% think #AI will be most #disruptive, ahead of #Blockchain and #IoT. Thanks, Mike Quindazzi for the share. Kudos to PwC's Colin Wittmer and Curt Moldenhauer for the research. -> https://bit.ly/3duDIAz
Harvard Business Review #MUSTREAD: Building "#DataDriven Culture from the Ground Up". Reminds me of Conny Björling's #journey and #analytics #prowess @ Skanska. -> https://bit.ly/3cmDNGn
How To Communicate Your "Why": #Leaders often overlook answering "The Why" because they think that explaining "The What" & "The How" is the fastest way to #getthingsdone. THEY ARE #WRONG. Thanks Nancy Duarte! -> https://bit.ly/2Lh6vg6
How To Be "Virtually UnStoppable". #Zoom #bestpractices @ https://bit.ly/2S83z9q
The Analytics Summit 2020: "The Story Behind The Story @ https://bit.ly/3bpdlLa via Bob Evans
Want to be the first to get these weekly updates? Subscribe @ https://bit.ly/2ywUkby
Be #AIDriven and see you next week!
So much attention is focused on how technology makes us sad, lonely, addicted, lazy, and maybe a little stupid. At the same time, we know that technology is actually making all of us feel smart, whole, and connected. What if we could intentionally design technologies for positive emotions and positive outcomes? This is at the heart of happy design.
Learn how to measure for the one thing that matters - happiness - and how to identify the five elements of positive design.
Really simple analysis for extremely powerful insights - Data CurryData Curry
I was taught to always spend quality time with data; you know, asking questions and exploring answers, prior to starting complex modelling on the same. I was told, rightly, that this exercise would give me the needed comfort and intuition with the data
4 Ways to Make your Brain More Vibrant with VisualsImageThink
4 ways to maximize your brain power with simple visual exercises. Get the highlights of ImageThink Co-founder and principal, Nora Herting talk at this year's SXSW Interactive festival.
SIT Career Nexus 2017 - Voices of ExperienceMcKhay Han
Sharing from experience to SIT Computing Science students in preparing them for making their first step from academic to real-world application of their knowledge and skills acquired over the years. The key focus is ensuring the students understand they are at the perfect junction of an industrial revolution and the possibility ahead of them is just unlimited.
Digital Analytics When Your Website Isn't "Top Dog"Michele Kiss
Digital Analytics is far simpler when your website is your main conversion point. But how do you measure success when your website plays only a minor role in your overall digital ecosystem? This presentation looks at how you define more holistic campaign KPIs, to measure success across channels like social and mobile, in conjunction with your website.
As content marketers, we're rich with data but still far too poor with insights. Find out how to see both the forest and the trees, and to create "lead" metrics that look forward, instead of always just measuring success and failure in the past.
Our presentation for April Specia Conference about new ways for companies to reach their audience online in the era of digital detox. Tools, analysis, big data, various cases and much more.
What Analytics Won't Tell You: Get Essential Insights for Content and DesignMelissa Eggleston
Analytics alone leave out the context and “the why” of people’s behavior. Learn practical ways to supplement your analytics and make smarter decisions about the content and design of your websites and apps.
What the Quantified Self Movement Teaches Us About Analytics, Marketing and P...Michele Kiss
At the intersection of fitness, analytics and social media, a new trend of “self-quantification” is emerging. Devices and Applications like Jawbone UP, Fitbit, Nike Fuel Band, Runkeeper and even Foursquare are making it possible for individuals to collect tremendous detail about their lives: every step, every venue visited, every bite, every snooze. What was niche, or reserved for professional athletes or the medically-monitored, has become mainstream, and is creating a wealth of incredibly personal data.
This presentation discusses what this emerging trend teaching us about the practice of analytics, the marketing opportunities that arise and the implications for privacy around this very, very personal data.
E-mail Marketing 3.0 is coming: Are you ready?Alchemy Worx
E-mail Marketing 1.0 was batch and blast. E-mail Marketing 2.0 – where we are now – is all about utilising Big Data to segment and target campaigns and use triggered e-mails based on subscriber behaviour. So what’s the next step for e-mail marketing? In his presentation, Dela talks about E-mail Marketing 3.0 and shows how smart marketers have started to move beyond purely reactive campaigns to a more proactive approach where e-mail is also used to create demand for your products and services. Find out how to leverage the power of e-mail within your own programme to make your subscribers more likely to pick your products and services than your competitors.
THINKING ABOUT THINKING
Audience: PM & BA
Level: All
Date: May 26
Time: 11:30 AM - 12:30 PM
Description
Thinking is a big part of a Project Manager’s and Business Analyst's job. But how often have you spent time thinking about thinking? This presentation looks at thinking as a critical soft skill for project managers and how a disciplined approach to thinking improves you effectiveness as a change agent for the company in the role of project manager. The presentation will discuss the Thinking Hats, Five Types of Thinking, and brush into the entire world of Business Analytics. The presentation focuses on how the skills of Strategic Analysis, Tactical Analysis, Predictive Analysis, Data mining work together for the complete business management cycle. To add to the thinking equation, the session will explore the power of Social Media sentiment and how the way people "feel" about things is an important factor in the business equation. Think about it !!!!
1. Participants will understand the relationship between planning, analysis, problem solving, decision making and thinking.
2. Students will be able to explain an "Adapting to Whats Happening Model" that includes Data Recording, Strategic Analysis, Tactical Analysis, Predictive Analysis, and Social Media Sentiment. And how it impacts the business.
3. Students will explore various factors of human bias and how that impacts thinking. The student will understand that bias cannot not be completely eliminated, but should be embraced as a human factor in any thinking exercise. The student will understand that personal perspective/bias is a factor, but not THE factor in thinking.
Metrics 3.0 - Meaningful Measurements for Agile Software DevelopmentAndy Cleff
Velocity is one of the most commonly used - and abused - agile team metrics. Teams (and their stakeholders) often focus on “improving velocity” without either a proper consideration for root causes that impact velocity, or a holistic view. Join Andy in an interactive discussion that explores how we can remove the perverse incentives and provide healthier ways for teams to gain meaningful insights on the outcomes of their experiments.
Velocity is one of the most commonly used – and abused – agile team metrics. Teams (and their stakeholders) often focus on “improving velocity” without either a proper consideration for root causes that impact velocity, or a holistic view.
Join Andy in an interactive discussion that explores how we can remove the perverse incentives and provide healthier ways for teams to gain meaningful insights on the outcomes of their experiments.
Max Shron, Thinking with Data at the NYC Data Science Meetupmortardata
Max Shron of Polynumeral shares techniques adapted from the worlds of design, consulting, the humanities and the social sciences which improve focus, communication, and results for data science campaigns.
Storytelling with Data (Global Engagement Summit at Northwestern University 2...Sara Hooker
Delta Analytics facilitated a workshop aimed at nonprofits in the initial stages of data collection. This workshop was hosted at the 2017 Global Engagement Summit at Northwestern.
The goal of the workshop is to equip social impact organizations with the tools necessary to start telling their story using data. This workshop was led by Sara Hooker and Jonathan Wang.
Delta Analytics is a 501(c)3 nonprofit that collaborates with non-profits all over the to generate positive social impact through key data insights and management services. Driven by a passion for numbers and dedication to community engagement, we help public service organizations with all their data-driven needs. Our mission, quite simply, is data for change.
Machine Learning with Azure and Databricks Virtual WorkshopCCG
Join CCG and Microsoft for a hands-on demonstration of Azure’s machine learning capabilities. During the workshop, we will:
- Hold a Machine Learning 101 session to explain what machine learning is and how it fits in the analytics landscape
- Demonstrate Azure Databricks’ capabilities for building custom machine learning models
- Take a tour of the Azure Machine Learning’s capabilities for MLOps, Automated Machine Learning, and code-free Machine Learning
By the end of the workshop, you’ll have the tools you need to begin your own journey to AI.
Using Powerful Questions to Drive Your Information StrategyRob Saker
We've moved from a world of data scarcity to nearly unlimited accessibility and availability of information. Systems and technology have rapidly advanced as well, but firms are still seeing mixed results. This presentation discusses why we need to focus on better questioning and actionability as the core of an information strategy.
Chris Soderquist presentation at the 2016 Science of HOPE
Description:
This session will introduce participants to a powerful approach to orchestrating useful learning across difficult boundaries using system dynamics. Through real world examples and interactive exercises, participants will learn how system dynamics can help them gain far more useful leverage when addressing complex, adaptive challenges. Participants will also see how this approach was used in a project funded by the Foundation for Healthy Generations to guide strategic decisions in Washington (and other states) for building community capacity and resilience.
[Elite Camp 2016] Martijn Scheijbeler - Optimization for Content SitesCXL
What makes optimizing different for a publisher then for example an ecommerce site. In this session Martijn from The Next Web will show you how they focus on CRO and SEO to have users engage more with their content and services. We'll go into learning how to create the best process on how to work on both of them at the same time to have maximum impact.
Measuring effectiveness of machine learning systemsAmit Sharma
Many online systems, such as recommender systems or ad systems, are increasingly being used in societally critical domains such as education, healthcare, finance and governance. A natural question to ask is about their effectiveness, which is often measured using observational metrics. However, these metrics hide cause-and-effect processes between these systems, people's behavior and outcomes. I will present a causal framework that allows us to tackle questions about the effects of algorithmic systems and demonstrate its usage through evaluation of Amazon's recommender system and a major search engine. I will also discuss how such evaluations can lead to metrics for designing better systems.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
7. 77
2. Measure and Compare
Is this already being measured?
› If you are measuring it, chances are, someone else
already has
• For UX on websites: SUS
› Review published literature to see how other researchers
measure
• How are items phrased and compared
• What scales are being used
• How close do our methods match published findings
11. 11
3. Precision
Continuous statistics
• Google Analytics
measures everything
continuously
• This results in a different
approach to define a “test
group”
• When do we have enough
data to decide on an A/B
test?
13. 13
3. Precision
Estimate example
• Idea: let’s set up a service
to sell t-shirts printed with
memes from 9gag.
• How can we estimate the
sales of this?
15. 15
3. Precision
Estimate: Fermi equation
› Famously used by Drake to estimate the number of
extraterrestrial life
› Estimating things through the relation of entities
16. 16
3. Precision
Fermi equation: 9gag T-shirt
› How many users are on 9gag each month
› What percentage of users requires a shirt that
month
› What percentage of shirts sold are shirts with
memes
› How long are users on the site each month
› How many memes are exposed per time frame
› What percentage of meme are liked enough to want
a shirt
17. 17
3. Precision
Fermi equation: 9gag T-shirt
Shirts Sold = Market Size x Need x Niche-interest x Time x Exposure x Selection
18. 18
3. Precision
Fermi equation: 9gag T-shirt
10 000 000 visitors/month (in the US)
times 5/12 shirts needed/visitor/month
Times 5/30 000 meme-shirts bought/ shirts needed (global)
Times 297 view-minutes / user / month
Times 11 memes-seen / view-minutes
Times 1/300 memes-liked-to-buy / memes-seen
Equals 7 562 average number of meme shirts bought per month by the users
Psychology today notes 10 reasons why we are bad with odds
https://www.psychologytoday.com/articles/200712/10-ways-we-get-the-odds-wrong
Risk and emotion are inseparable
Current situation
literature for keywords that worked well in discriminating between high and low luxury items
see if they have been specifically tested in cars
reference database that can help us interpret the results when we do collect data
User Experience context factors
Tom Van de Zande
So when is a measurement good enough to use it for any type of action?
How long? One day? Two days? A week?
How often? Based on number of qualitative or percentual vistors
Does it depend on the action you want to take?
Results for a treejack they tend to stabilize around 40-60 users
All too often we see budgets blown on unnecessarily large sample sizes. You'll often reach the same conclusions with margins of errors three to five times as wide
So how are we estimating how many shirts we are going to sell?
7562 t-shirts estimated
What if only sell 700
What if we sell 70 000
So we have measurements but how are we now going to take action
Recap on the current situation
We can actually drop the website, because in any statistical process it actually starts with the stats (not what generated the stats)
The problem is that this is emotional, you could quickly invest into certain areas without really knowing what went wrong.
Do you need to invest to increase certain numbers or do you simply need to drop the prodcut, without a plan or estimate up front this is a choice!
Is it the order that is wrong?
Is it the website that created (continues) statistics that does not fit into this type of standardized working?
What’s wrong with this proces?
This makes sense: your estimate gives you a rough idea and depending on different estimates and different course of actions certain action plans can be executed
Because we have have used a Fermi equation we can also look back at the equation and decide
Action plans should focus on the “hard to guess” entities of the fermi equation