Trends in game analytics: What’s happening and why? By Heather Stark, Analyst at Kinran Limited.
The Games Industry Analytics Forum returned for its 10th meet-up on Thursday 27th August at Product Madness in London.
GIAF is a free event for game analytics practitioners held in both the USA and UK, organised by game analytics & marketing company deltaDNA.
Featuring ever-changing presentations, venues and expert panel discussions, it's a unique opportunity for practitioners looking to generate insight and value from big data game analytics; one of the most important trends in games.
Interested in speaking at a future event or in finding our more? Visit www.deltadna.com/GIAF
Healthcare expenditure is set to rise over the coming years. Cost will undoubtedly influence patients’ decision-making when it comes to diagnosis and treatment.
For healthcare providers, providing up-front cost estimates improves patient experience, making patients more willing to return (if required) in the future. For patients, having accurate pre-admission estimates allow for informed decisions and adequate preparation, reducing payment challenges after treatment. Ultimately, this case is a first step towards (i) standardization of healthcare cost estimation and (ii) price transparency to build trust between healthcare providers, payers, and patients.
GIAF UK Winter 2015 - Slot machines: Tweaking randomness in social casinoLauren Cormack
The document promotes joining the conversation and participating in the next Genetic Information Non-Discrimination Act International Alliance Forum (GIAF) event on LinkedIn or the GIAF website, and provides contact information to participate.
What the best games know that the rest don't - Isaac Roseboom, deltaDNALauren Cormack
Isaac Roseboom, Head of Insight at deltaDNA - Why do games struggle to monetize and how can analytics be utilized to drastically increase revenues and avoid common monetization pitfalls? In this talk, Isaac Roseboom, Head of Insight at deltaDNA, will demonstrate how successful games use analytics and player insights to best effect. He’ll look at the how they approach onboarding, drive first time purchase, and balance their game economy to maximize KPI performance. You will learn exactly what you need to do to successfully monetize a game and drive repeat spend.
iGaming webinar - Real time player management lessons from social casinoLauren Cormack
The social casino space is thriving by doing the impossible; convincing players to place bets that have no chance of real reward. To accomplish this the best social casino games micro-manage the player experience in real-time to ensure that each interaction is a positive one that will lead to conversion.
This process is driven by data, connecting demographics with player preferences and in-game behaviour to ensure that players get an experience perfectly tailored to them. This presentation will demonstrate the techniques and tools used by social casino operators, and how these can be adopted in the gambling sector to improve player lifetime and value.
GDC 2017 - What the best games know that the rest don’tLauren Cormack
Why do games struggle to monetize and how can analytics be utilized to drastically increase revenues and avoid common monetization pitfalls?
In this talk, Isaac Roseboom, Head of Insight at deltaDNA, will demonstrate how successful games use analytics and player insights to best effect. He'll look at the how they approach onboarding, drive first time purchase, and balance their game economy to maximize KPI performance. You will learn exactly what you need to do to successfully monetize a game and drive repeat spend.
Demystifying Data by Pallas Horwitz, Senior Data Scientist at Blue Shell Games.
The Games Industry Analytics Forum (GIAF) returned to San Francisco for its 9th meet-up. The GIAF is a unique opportunity for games analytics practitioners looking to generate insight and value from big data game analytics. If you are interested in attending future GIAF events, please sign up to our mailing list at www.deltadna.com/mailing-list-signup/
Understanding and improving games through machine learning - Natasha LatyshevaLauren Cormack
Data Scientist at Jagex - Jagex has a diverse games portfolio, including a large MMORPG (RuneScape), a tactical FPS (Block N Load) and a collectible card game (Chronicle). In this presentation, Natasha Latysheva will showcase recent and upcoming data science and machine learning projects at Jagex – including quest recommender systems, player clustering by playstyle, deep learning player lifecycle sequences, and automatic bot and abuse detection – to give a taster of the insights that a machine learning approach can provide, whilst also offering project ideas for your own games.
Transforming player value - iGaming webinar Lauren Cormack
The document outlines an agenda for a presentation on transforming player value through gamification and personalization. The presentation covers three pillars: best practice gamification mechanics, understanding player experiences, and actively managing the player lifecycle across channels in real-time. It then discusses in more detail gamification mechanics, key objectives in the first 60 seconds, using data and analytics to segment players and interact intelligently, testing and learning, metrics across the player lifecycle, and example campaigns for different stages including first time user experience, early life, maturing players, VIPs, lapsing, and reactivation.
Healthcare expenditure is set to rise over the coming years. Cost will undoubtedly influence patients’ decision-making when it comes to diagnosis and treatment.
For healthcare providers, providing up-front cost estimates improves patient experience, making patients more willing to return (if required) in the future. For patients, having accurate pre-admission estimates allow for informed decisions and adequate preparation, reducing payment challenges after treatment. Ultimately, this case is a first step towards (i) standardization of healthcare cost estimation and (ii) price transparency to build trust between healthcare providers, payers, and patients.
GIAF UK Winter 2015 - Slot machines: Tweaking randomness in social casinoLauren Cormack
The document promotes joining the conversation and participating in the next Genetic Information Non-Discrimination Act International Alliance Forum (GIAF) event on LinkedIn or the GIAF website, and provides contact information to participate.
What the best games know that the rest don't - Isaac Roseboom, deltaDNALauren Cormack
Isaac Roseboom, Head of Insight at deltaDNA - Why do games struggle to monetize and how can analytics be utilized to drastically increase revenues and avoid common monetization pitfalls? In this talk, Isaac Roseboom, Head of Insight at deltaDNA, will demonstrate how successful games use analytics and player insights to best effect. He’ll look at the how they approach onboarding, drive first time purchase, and balance their game economy to maximize KPI performance. You will learn exactly what you need to do to successfully monetize a game and drive repeat spend.
iGaming webinar - Real time player management lessons from social casinoLauren Cormack
The social casino space is thriving by doing the impossible; convincing players to place bets that have no chance of real reward. To accomplish this the best social casino games micro-manage the player experience in real-time to ensure that each interaction is a positive one that will lead to conversion.
This process is driven by data, connecting demographics with player preferences and in-game behaviour to ensure that players get an experience perfectly tailored to them. This presentation will demonstrate the techniques and tools used by social casino operators, and how these can be adopted in the gambling sector to improve player lifetime and value.
GDC 2017 - What the best games know that the rest don’tLauren Cormack
Why do games struggle to monetize and how can analytics be utilized to drastically increase revenues and avoid common monetization pitfalls?
In this talk, Isaac Roseboom, Head of Insight at deltaDNA, will demonstrate how successful games use analytics and player insights to best effect. He'll look at the how they approach onboarding, drive first time purchase, and balance their game economy to maximize KPI performance. You will learn exactly what you need to do to successfully monetize a game and drive repeat spend.
Demystifying Data by Pallas Horwitz, Senior Data Scientist at Blue Shell Games.
The Games Industry Analytics Forum (GIAF) returned to San Francisco for its 9th meet-up. The GIAF is a unique opportunity for games analytics practitioners looking to generate insight and value from big data game analytics. If you are interested in attending future GIAF events, please sign up to our mailing list at www.deltadna.com/mailing-list-signup/
Understanding and improving games through machine learning - Natasha LatyshevaLauren Cormack
Data Scientist at Jagex - Jagex has a diverse games portfolio, including a large MMORPG (RuneScape), a tactical FPS (Block N Load) and a collectible card game (Chronicle). In this presentation, Natasha Latysheva will showcase recent and upcoming data science and machine learning projects at Jagex – including quest recommender systems, player clustering by playstyle, deep learning player lifecycle sequences, and automatic bot and abuse detection – to give a taster of the insights that a machine learning approach can provide, whilst also offering project ideas for your own games.
Transforming player value - iGaming webinar Lauren Cormack
The document outlines an agenda for a presentation on transforming player value through gamification and personalization. The presentation covers three pillars: best practice gamification mechanics, understanding player experiences, and actively managing the player lifecycle across channels in real-time. It then discusses in more detail gamification mechanics, key objectives in the first 60 seconds, using data and analytics to segment players and interact intelligently, testing and learning, metrics across the player lifecycle, and example campaigns for different stages including first time user experience, early life, maturing players, VIPs, lapsing, and reactivation.
Deltadna achieving better engagement and LTV by combining gamification and ...deltaDNA
DeltaDNA CEO, Mark Robinson will discuss how to transfer the essence of game mechanics into real money gaming, and how real-time marketing can be specifically employed at each stage of the player lifecycle to maximise player lifetime value (LTV).
EGR webinar 2016 - Real-time approaches to fraud and social responsibilityLauren Cormack
We address the in-game behaviours that can be identified to prevent fraud and enhance social responsibility, and how they can be evaluated and mitigated in real-time.
-Learn to recognise problem gambling behaviour indicators
-Discover real-time approaches to prevention
-Find out what risk triggers there are
GIAF USA Winter 2015 - Measuring collaboration in a multiplayer gameLauren Cormack
Measuring collaboration in a multiplayer game by Dierdre Kerr, Associate Research Scientist at Educational Testing Service (ETS).
The kind of collaborator an individual is can have a huge impact on not only their game experience, but their teammates’ experiences as well. However, determining this solely from in-game behavior can be a difficult task. In this talk, you will hear about the different types of collaborative behavior anticipated in game environments, how evidence about an individual’s collaboration type can be identified from the log data, and how that evidence might be used to create a better player experience.
Game Connection Paris 2016 - Making games pay: data secrets for game monetiza...Lauren Cormack
This document outlines key strategies for effectively monetizing mobile games discussed in a presentation. It notes that most common issues include low player retention and uncertainty around which monetization approaches to use. The presentation advocates treating the game like a marketplace by integrating different strategies. It emphasizes that ads are important for monetizing the large percentage of players who never pay and shares data showing over 70% of players do not engage with rewarded ads. The document provides secrets around using player data to understand monetization patterns and balance gameplay and spending. It stresses testing ad placement and rewards to improve engagement without disrupting the game experience.
GIAF USA Winter 2015 - The secrets to successful F2P ad monetization Lauren Cormack
The secrets to successful F2P ad monetization by Mark Robinson, CEO at deltaDNA.
DeltaDNA surveyed developers to find out how they approach in-game advertising in their highest monetizing F2P games. We questioned them on their concerns, thoughts for the future, and asked them to share their top tips. Find out the insights generated from this data. Learn what games are doing in different genres and with different player types, from indie to major.
UK GIAF Summer 2015 - From data science to data impact Lauren Cormack
This document discusses player segmentation for online casino games. It begins with an overview of player segmentation basics and how segmentation can be used strategically. It then discusses how to segment players using different approaches like geography, loyalty, behaviors, needs, and value. The document also provides examples of how segmentation is used at Product Madness for tasks like lifecycle analysis, product development, and A/B testing. It concludes with discussing infrastructure and best practices for segmentation.
GDC - Top soft launch strategies for awesome metricsLauren Cormack
GDC 2016 presentation by deltaDNA & Thumbspire -
Games that spend more than 1 month in soft launch are proven to do much better - it's the critical time to make the game adjustments that will inspire players to return, time and time again.
In this presentation, you'll find out what a difference data can make, why different types of players are leaving your game, and learn the practical steps you can take to turn things around. You'll discover what areas you should be testing to maximize your KPIs, and see best-practice examples of games that have got it right.
Use these strategies to improve your player retention by 20%+ and learn from Thumbspire case studies how to boost your game monetization.
Lean analytics by Will Perone, CTO at Wicked Fun.
Wicked Fun is a design driven game studio founded by industry veterans Terry Redfield and Will Perone. Discover all the shortcuts it's taken to get the biggest 'bang for the buck' in regard to analytics, supporting systems, and staffing
GIAF UK Winter 2015 - Analytical techniques: A practical guide to answering b...Lauren Cormack
The document provides an overview of analytical techniques for answering business questions. It discusses the four pillars of analytics: data munging, reporting and visualization, analysis and insights, and applied analytics. Specific topics covered include A/B testing best practices, reporting and visualization tools like Tableau, using multiple data sources for analysis, and best practices for data analysis and communication. The document is intended as a practical guide for those working in analytics to help tackle business issues.
FouAnalytics is an alternative to Google Analytics, but with fraud and bot detection baked in. Marketers can use FouAnalytics to look at their own campaigns, find the domains and apps that are eating up their budgets fraudulently, and turn them off, while the campaign is still running. How does that compare to your blackbox fraud detection that just gives you a percent IVT number?
Internet of Things - We Are at the Tip of an IcebergDr. Mazlan Abbas
The document discusses the potential of the Internet of Things (IoT) market. It notes that we are still in the early stages of IoT development and adoption. It outlines the key components of IoT including sensors, connectivity, and data analytics. It then discusses several industries and applications that are well positioned to benefit from IoT, including transportation, manufacturing, agriculture, utilities and more. Estimates of IoT device adoption in these sectors through 2020 are provided. The importance of IoT middleware platforms for developing IoT solutions is also covered.
Digital In Banking - Summary Trends - Virginia Bankers Association - March 2015Kenneth Hans
This document discusses digital trends in banking and technology. It notes that digital data production is growing exponentially and that the average household now has many internet-connected devices. Modern smartphones have vastly more processing power and functionality than early computers. Major technology companies now have market valuations greater than some countries' entire stock markets. The pace of financial technology innovation has accelerated in recent years. Most banking interactions now occur digitally rather than in branches as customers prefer the convenience. Banks must provide seamless digital experiences across devices to meet customer expectations. iOS and Android dominate the mobile and tablet markets, so banking apps focus on these platforms.
The Next Big Wave - How ioT Will Shape the Future of ProjectsDr. Mazlan Abbas
This document discusses how IoT will shape the future of projects. It introduces Favoriot, an IoT company that provides various IoT solutions like Favorwatch for senior care and Raqib for pilgrims. It discusses how IoT helps address problems like missing pilgrims, difficulty building IoT solutions, elderly living alone, and getting customer feedback. The document also covers Industry 4.0 technologies, the changing nature of jobs, autonomous vehicles, and how IoT can be applied in areas like transportation, insurance, connected homes, agriculture, healthcare, smart buildings and manufacturing. It emphasizes the importance of data, analytics, and developing IR 4.0 applications using the IoT ecosystem.
Why IT Needs More Analytics Talent - Tech News _ Latest Technology NewsArup Das
There is a growing demand for analytics talent in the IT industry to help companies make better business decisions using data analytics. However, there is currently a shortage of professionals with analytics skills. While the IT job market in India is projected to grow and create over 250,000 new jobs in 2016, only 11-13% of these roles will be in analytics due to the lack of candidates with the necessary technical and business analytics training. Close partnerships between academia and industry are needed to help equip both new and experienced IT professionals with analytics skills relevant to real-world business problems.
The document discusses Internet of Things (IoT) topics including what IoT is, its components, why it is reaching an inflection point, how to think about IoT maturity phases, and the benefits it can provide. It also explores market potential for IoT in various sectors like transportation, manufacturing, agriculture and more. Additionally, it outlines how to define data for IoT solutions, lists some example IoT solutions, and discusses partnering with Favoriot which provides an IoT platform for connecting devices, managing data, performing analytics, and developing applications.
This document provides a summary of Marvin Liao's 2016 investment outlook. It discusses 7 trends that early stage tech investors should pay attention to:
1. Virtual and augmented reality being the next major engagement platform, as AR/VR startups raised $658M in 2015.
2. The internet of everything (IoT), as IoT startups raised over $1.9B in 2015.
3. FinTech as a major growth area, with Asian FinTech startups raising $3.5B in 2015 and US startups raising $3B in Q1 2015.
4. Millennials now being the largest demographic group and redefining smartphone usage and preferences.
Advertisers have deployed technology and relied on new industry standards to reduce wasted ad spend due to fraud and low viewability. But have those actually worked to drive up RoAS (return on ad spend)? Research data suggests that there are still high amounts of ad fraud that remains to be cleaned up and that the fake traffic, impressions, and clicks further corrupt the analytics that advertisers use to measure the success of their campaigns. Hear practical recommendations from Dr. Augustine Fou, independent cybersecurity and ad fraud researcher, on how to measure and mitigate ad fraud using high tech tools and low tech techniques.
During a panel discussion at the Metadata Madness event, none of the 200 attendees raised their hands when asked if they had rights metadata attached to their video content. The panelists discussed challenges in managing metadata across different systems and the need for unique identifiers and standards. While standards have limitations, panelists agreed they are necessary for metadata to be useful and trustworthy across the supply chain.
The document discusses the role of data scientists and trends in data science. It describes how data scientists identify business needs, prepare and analyze data, interpret results, and communicate findings. However, emerging tools are automating some of these tasks using techniques like machine learning and natural language processing. This could change the role of data scientists and enable more self-service data analysis. The document also lists some vendors developing tools to support self-service data science through augmented intelligence.
The document discusses Internet of Things (IoT) and favoriot's IoT platform. It begins by explaining the three waves of internet development and what constitutes IoT. It then discusses IoT components, maturity phases, benefits, market potential across various sectors, and examples of IoT solutions. The document also introduces favoriot's IoT platform, which aims to enable developers to easily build IoT applications through features like connectivity protocols, device management, data processing, analytics and security.
The attention economy and the internetRoss Garrett
Today we’re going to take a look at how traditional or even de facto standards for integration aren’t always the best choice for web mobile and IoT applications. The standard I’m talking about is of course HTTP and ever popular REST APIs.
While I won’t be so bold as to disregard this integration pattern entirely, I do want us to take a critical look at how and where integration can be improved – by understanding the limitations of today’s app integration technologies and considering the business factors that impact success in the attention economy.
Deltadna achieving better engagement and LTV by combining gamification and ...deltaDNA
DeltaDNA CEO, Mark Robinson will discuss how to transfer the essence of game mechanics into real money gaming, and how real-time marketing can be specifically employed at each stage of the player lifecycle to maximise player lifetime value (LTV).
EGR webinar 2016 - Real-time approaches to fraud and social responsibilityLauren Cormack
We address the in-game behaviours that can be identified to prevent fraud and enhance social responsibility, and how they can be evaluated and mitigated in real-time.
-Learn to recognise problem gambling behaviour indicators
-Discover real-time approaches to prevention
-Find out what risk triggers there are
GIAF USA Winter 2015 - Measuring collaboration in a multiplayer gameLauren Cormack
Measuring collaboration in a multiplayer game by Dierdre Kerr, Associate Research Scientist at Educational Testing Service (ETS).
The kind of collaborator an individual is can have a huge impact on not only their game experience, but their teammates’ experiences as well. However, determining this solely from in-game behavior can be a difficult task. In this talk, you will hear about the different types of collaborative behavior anticipated in game environments, how evidence about an individual’s collaboration type can be identified from the log data, and how that evidence might be used to create a better player experience.
Game Connection Paris 2016 - Making games pay: data secrets for game monetiza...Lauren Cormack
This document outlines key strategies for effectively monetizing mobile games discussed in a presentation. It notes that most common issues include low player retention and uncertainty around which monetization approaches to use. The presentation advocates treating the game like a marketplace by integrating different strategies. It emphasizes that ads are important for monetizing the large percentage of players who never pay and shares data showing over 70% of players do not engage with rewarded ads. The document provides secrets around using player data to understand monetization patterns and balance gameplay and spending. It stresses testing ad placement and rewards to improve engagement without disrupting the game experience.
GIAF USA Winter 2015 - The secrets to successful F2P ad monetization Lauren Cormack
The secrets to successful F2P ad monetization by Mark Robinson, CEO at deltaDNA.
DeltaDNA surveyed developers to find out how they approach in-game advertising in their highest monetizing F2P games. We questioned them on their concerns, thoughts for the future, and asked them to share their top tips. Find out the insights generated from this data. Learn what games are doing in different genres and with different player types, from indie to major.
UK GIAF Summer 2015 - From data science to data impact Lauren Cormack
This document discusses player segmentation for online casino games. It begins with an overview of player segmentation basics and how segmentation can be used strategically. It then discusses how to segment players using different approaches like geography, loyalty, behaviors, needs, and value. The document also provides examples of how segmentation is used at Product Madness for tasks like lifecycle analysis, product development, and A/B testing. It concludes with discussing infrastructure and best practices for segmentation.
GDC - Top soft launch strategies for awesome metricsLauren Cormack
GDC 2016 presentation by deltaDNA & Thumbspire -
Games that spend more than 1 month in soft launch are proven to do much better - it's the critical time to make the game adjustments that will inspire players to return, time and time again.
In this presentation, you'll find out what a difference data can make, why different types of players are leaving your game, and learn the practical steps you can take to turn things around. You'll discover what areas you should be testing to maximize your KPIs, and see best-practice examples of games that have got it right.
Use these strategies to improve your player retention by 20%+ and learn from Thumbspire case studies how to boost your game monetization.
Lean analytics by Will Perone, CTO at Wicked Fun.
Wicked Fun is a design driven game studio founded by industry veterans Terry Redfield and Will Perone. Discover all the shortcuts it's taken to get the biggest 'bang for the buck' in regard to analytics, supporting systems, and staffing
GIAF UK Winter 2015 - Analytical techniques: A practical guide to answering b...Lauren Cormack
The document provides an overview of analytical techniques for answering business questions. It discusses the four pillars of analytics: data munging, reporting and visualization, analysis and insights, and applied analytics. Specific topics covered include A/B testing best practices, reporting and visualization tools like Tableau, using multiple data sources for analysis, and best practices for data analysis and communication. The document is intended as a practical guide for those working in analytics to help tackle business issues.
FouAnalytics is an alternative to Google Analytics, but with fraud and bot detection baked in. Marketers can use FouAnalytics to look at their own campaigns, find the domains and apps that are eating up their budgets fraudulently, and turn them off, while the campaign is still running. How does that compare to your blackbox fraud detection that just gives you a percent IVT number?
Internet of Things - We Are at the Tip of an IcebergDr. Mazlan Abbas
The document discusses the potential of the Internet of Things (IoT) market. It notes that we are still in the early stages of IoT development and adoption. It outlines the key components of IoT including sensors, connectivity, and data analytics. It then discusses several industries and applications that are well positioned to benefit from IoT, including transportation, manufacturing, agriculture, utilities and more. Estimates of IoT device adoption in these sectors through 2020 are provided. The importance of IoT middleware platforms for developing IoT solutions is also covered.
Digital In Banking - Summary Trends - Virginia Bankers Association - March 2015Kenneth Hans
This document discusses digital trends in banking and technology. It notes that digital data production is growing exponentially and that the average household now has many internet-connected devices. Modern smartphones have vastly more processing power and functionality than early computers. Major technology companies now have market valuations greater than some countries' entire stock markets. The pace of financial technology innovation has accelerated in recent years. Most banking interactions now occur digitally rather than in branches as customers prefer the convenience. Banks must provide seamless digital experiences across devices to meet customer expectations. iOS and Android dominate the mobile and tablet markets, so banking apps focus on these platforms.
The Next Big Wave - How ioT Will Shape the Future of ProjectsDr. Mazlan Abbas
This document discusses how IoT will shape the future of projects. It introduces Favoriot, an IoT company that provides various IoT solutions like Favorwatch for senior care and Raqib for pilgrims. It discusses how IoT helps address problems like missing pilgrims, difficulty building IoT solutions, elderly living alone, and getting customer feedback. The document also covers Industry 4.0 technologies, the changing nature of jobs, autonomous vehicles, and how IoT can be applied in areas like transportation, insurance, connected homes, agriculture, healthcare, smart buildings and manufacturing. It emphasizes the importance of data, analytics, and developing IR 4.0 applications using the IoT ecosystem.
Why IT Needs More Analytics Talent - Tech News _ Latest Technology NewsArup Das
There is a growing demand for analytics talent in the IT industry to help companies make better business decisions using data analytics. However, there is currently a shortage of professionals with analytics skills. While the IT job market in India is projected to grow and create over 250,000 new jobs in 2016, only 11-13% of these roles will be in analytics due to the lack of candidates with the necessary technical and business analytics training. Close partnerships between academia and industry are needed to help equip both new and experienced IT professionals with analytics skills relevant to real-world business problems.
The document discusses Internet of Things (IoT) topics including what IoT is, its components, why it is reaching an inflection point, how to think about IoT maturity phases, and the benefits it can provide. It also explores market potential for IoT in various sectors like transportation, manufacturing, agriculture and more. Additionally, it outlines how to define data for IoT solutions, lists some example IoT solutions, and discusses partnering with Favoriot which provides an IoT platform for connecting devices, managing data, performing analytics, and developing applications.
This document provides a summary of Marvin Liao's 2016 investment outlook. It discusses 7 trends that early stage tech investors should pay attention to:
1. Virtual and augmented reality being the next major engagement platform, as AR/VR startups raised $658M in 2015.
2. The internet of everything (IoT), as IoT startups raised over $1.9B in 2015.
3. FinTech as a major growth area, with Asian FinTech startups raising $3.5B in 2015 and US startups raising $3B in Q1 2015.
4. Millennials now being the largest demographic group and redefining smartphone usage and preferences.
Advertisers have deployed technology and relied on new industry standards to reduce wasted ad spend due to fraud and low viewability. But have those actually worked to drive up RoAS (return on ad spend)? Research data suggests that there are still high amounts of ad fraud that remains to be cleaned up and that the fake traffic, impressions, and clicks further corrupt the analytics that advertisers use to measure the success of their campaigns. Hear practical recommendations from Dr. Augustine Fou, independent cybersecurity and ad fraud researcher, on how to measure and mitigate ad fraud using high tech tools and low tech techniques.
During a panel discussion at the Metadata Madness event, none of the 200 attendees raised their hands when asked if they had rights metadata attached to their video content. The panelists discussed challenges in managing metadata across different systems and the need for unique identifiers and standards. While standards have limitations, panelists agreed they are necessary for metadata to be useful and trustworthy across the supply chain.
The document discusses the role of data scientists and trends in data science. It describes how data scientists identify business needs, prepare and analyze data, interpret results, and communicate findings. However, emerging tools are automating some of these tasks using techniques like machine learning and natural language processing. This could change the role of data scientists and enable more self-service data analysis. The document also lists some vendors developing tools to support self-service data science through augmented intelligence.
The document discusses Internet of Things (IoT) and favoriot's IoT platform. It begins by explaining the three waves of internet development and what constitutes IoT. It then discusses IoT components, maturity phases, benefits, market potential across various sectors, and examples of IoT solutions. The document also introduces favoriot's IoT platform, which aims to enable developers to easily build IoT applications through features like connectivity protocols, device management, data processing, analytics and security.
The attention economy and the internetRoss Garrett
Today we’re going to take a look at how traditional or even de facto standards for integration aren’t always the best choice for web mobile and IoT applications. The standard I’m talking about is of course HTTP and ever popular REST APIs.
While I won’t be so bold as to disregard this integration pattern entirely, I do want us to take a critical look at how and where integration can be improved – by understanding the limitations of today’s app integration technologies and considering the business factors that impact success in the attention economy.
Gt briefing sept 2014 the robots are coming pppTracey Keys
Robotics and automation, including use of smart machines and the rise of the internet of things, is entering a new phase as these technologies advance. In its initial stages, this emerging industry of the future has been largely built on passionate researcher and visionary advocates. However, it has become obvious that robotics technology is no longer for the few but a technology permeating our world.
Even though these new technologies can empower individuals, businesses and societies there are fears that the human race, in the long term, will be outnumbered, outdated, and outthought by the next generation of robots and smart machines. This presentation accompanies our September 2014 GT briefing, based on our forthcoming report, “Industries of the Future: Robotics,” and looks at: How robotic technology is impacting existing industries and markets; .How innovative robotic technologies could impact jobs and skills required for the future.
This document summarizes media coverage and engagement for GoInStore in Q3 2016. It includes:
- 38 pieces of media coverage reaching over 4 million impressions
- 6 media briefings with publications like the Financial Times and Retail Focus
- Engagement with 8 analysts at events like Mobile World Congress
- 2 award nominations including at the GSM Awards and Accenture Customer Innovation Awards
- Coverage in prominent publications across industries including Forbes, ZDNet, and Computer Weekly featuring GoInStore's augmented reality and virtual reality technologies.
IBM Online December -2015 - Ashutosh Data Products_Addressing the Infrastruct...Ashutosh Pancholi
The document discusses an IBM Online article from December 2015 about Ashutosh Data Products and how it addresses infrastructure concerns comprehensively. The article provides information on how the company helps customers manage their infrastructure needs and challenges across 13 pages on the CIO Review India website.
The document discusses emerging technologies for entrepreneurs, focusing on 10 major categories including artificial intelligence, the internet of things, big data, virtual and augmented reality, blockchain/financial systems, security, materials, energy, health and bio. Key emerging technologies highlighted include autonomous vehicles, robotics, the semantic web, the internet of things, blockchain, renewable energy batteries, gene editing, and augmented reality. A variety of links are provided for further reading on technologies in each category.
Making a Better World with Technology InnovationsImesh Gunaratne
The document discusses strategic technology trends for 2015 and recent innovations that can help make the world better. It outlines 10 strategic trends including computing everywhere, the internet of things, and smart machines. Recent innovations highlighted include agile robots, car-to-car communication, Project Loon for internet access, and agricultural drones. The benefits of open source are explained such as flexibility, more eyes finding bugs, and lower costs. The document advocates focusing on technology trends, innovating to find gaps, and using innovations to positively change the world.
1105 Media - 2014 Core Market Capabilities PresentationChristina Langer
This document provides information about marketing programs to reach government technology decision makers. It discusses magazine advertising, inserts and outserts which provide direct delivery of marketing messages to readers' desks. It also outlines market capture programs for 2014 including Download Reports, Strategic Reports, and custom programs. Download Reports involve in-depth research on technology trends converted into content across multiple platforms over 6-9 months, providing sponsors exclusivity, ads, banners and leads. The programs aim to engage audiences and position sponsors as thought leaders.
Your Journey Towards Industry 4.0 with Internet of ThingsDr. Mazlan Abbas
This document discusses the importance of Internet of Things (IoT) for business survival in the 21st century. It notes that organizations need to reinvent themselves every 3 to 7 years to survive. It then discusses the three waves of internet growth and provides IoT statistics. The document outlines what IoT is and why it is reaching an inflection point due to cheaper hardware, ubiquitous connectivity, and continued improvements from Moore's and Metcalfe's laws. It discusses how to start an IoT journey and levels of IoT maturity. Large market potentials for IoT in various sectors like transportation, insurance, agriculture and more are highlighted. The document emphasizes the need to leverage the IoT ecosystem and provides examples of IoT solutions. It
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https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
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.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
8. Kinran
HAStark
...[according to VB research] most mobile-
first companies are trying to pay between
$1 and $1.50 for users, but they are only
getting quality users at multiples of those
numbers...
August 12 2015
http://venturebeat.com/2015/08/12/this-service-tells-you-what-supercell-machine-zone-and-other-big-
publishers-spend-on-user-acquisition/
9. Kinran
HAStark
...[according to AppScotch] Machine Zone
is currently spending somewhere around
$12 per user with AdColony, InMobi, and
Unity Ads, up to $20 per user with Vungle,
and between $2 and $30 per user with
Chartboost...
August 12 2015
http://venturebeat.com/2015/08/12/this-service-tells-you-what-supercell-machine-zone-and-other-big-
publishers-spend-on-user-acquisition/
15. Kinran
HAStark
Kevin Schmidt and Luis Vicente, Mind Candy
Practical real-time approximations using Spark
Streaming
hyperloglogs to count uniques
bloom filters to count revenue
stream-summary for top-k
(metwally agrawal abbadi 2005)
from nucl.ai Data Science track (to be published)
earlier version from huguk available now
http://www.slideshare.net/huguk/fast-perfect-practical-realtime-approximations-using-spark-streaming
21. Kinran
HAStark
Miloš Milošević, Nordeus
Early Churn Prediction and Personalised Interventions In Top 11
later detection is more accurate - but less useful
tried many techniques – logistic regression good!
cluster users based on first day gameplay
customise messaging based on clusters
increased D1 retention (and downstream metrics)
from nucl.ai 2015 Data Science track (to be published)
writeup available on gamasutra now:
http://www.gamasutra.com/blogs/MilosMilosevic/20150811/250913/How_data_scientists_slashed_early_churn_in_Top_Eleven.
php
24. Kinran
HAStark
Meta S. Brown
Analytics failure and how to avoid it
Analytics programs fail...
.... because they lack a viable plan for success
Imperial College Data Science Institute 24 June 2015
http://www.slideshare.net/metabrown/analytics-failure-how-to-avoid-it
25. Kinran
HAStark
Meta S. Brown
Analytics failure and how to avoid it
Analytics programs fail...
.... because they lack a viable plan for success
Define success, and who decides on it
Imperial College Data Science Institute 24 June 2015
http://www.slideshare.net/metabrown/analytics-failure-how-to-avoid-it
26. Kinran
HAStark
Meta S. Brown
Analytics failure and how to avoid it
Start with a business problem
a small one
understand the business problem really well
As you scale up – pay attention to process
replicable! replicable! replicable!
Imperial College Data Science Institute 24 June 2015
http://www.slideshare.net/metabrown/analytics-failure-how-to-avoid-it
27. Kinran
HAStark
Meta S. Brown
Analytics failure and how to avoid it
Use only as much data as you need to
The best use case for Big is personalisation
Imperial College Data Science Institute 24 June 2015
http://www.slideshare.net/metabrown/analytics-failure-how-to-avoid-it
29. JOIN IN THE CONVERSATION PARTICIPATE IN THE NEXT GIAF
Analytics for Games
www.deltadna.com/giaf
events@deltadna.com
#UKGIAF
Editor's Notes
I’m going to take a look at what’s going on in game analytics. And why.
I’m going to look at four aspects – what’s going on in the market we serve – in the games industry itself – and how that’s shaping what gets done in analytics.
And I’m going to look at changes in the tools and tech we have at our disposal, to do the work we do.
I’m going to look at frontier zones – areas what gets done is evolving. Liminal zones where the ocean and fog meet.
Finally, I’m going to look at failure prevention in games analytics. (I didn’t want to leave you sad by titling it failure.) This is a glass half full take on things.
I’ve only picked out a few things under each heading, and there might be more that you think of. Tell me in question time, or afterwards in the bar.
You’re probably wondering. How does she know all this stuff? Has she wired my studio up for telemetry? Or is she making it all up?
Well it’s neither. I do what you do – talk to people, read trade press, listen in on social media, look at changes in vendors’ service offerings, go to events, and use this info as tell-tales to see which way the wind is blowing.
Last month I curated and chaired the Data Science and Analytics track at the games AI conference in Vienna, and I’m bringing back a few shiny snippets from that to share with you. Apparently crows don’t actually like shiny things, which I found out after researching this cool picture, but I do.
It makes sense that what gets done in games analytics would be influenced by what’s going on in the games industry itself. So what’s going on in games? It depends a lot on what facet of the market you live in.
The market as a whole is still growing. Could be worse.
But there are two trends that make life difficult. They have to do with distribution – both on mobile appstores and on steam. One trend is the increasing number of games on the market. The other is the stickiness of the top 10 lists.
Visibility in the face of competition, both long-tail and top 10, is a huge challenge.
Best sellers tend to hang about like low cloud over England in summer. This isn’t by accident. It’s to do with store managers wanting to optimise their returns, and giving successful titles visibility via multiple internal channels. Also also, on mobile appstores, it’s about sophisticated use of the advertising ecosystem by top sellers.
Also - the game needs to be good. But that isn’t enough.
What’s happening as a result? It’s making people pay even more serious attention to distribution and visibility. Some are choosing to go with publishers rather than self-publish.
Ouch.
Really. Ouch. It’s bleeping expensive. This isn’t the kind of spend to do casually.
This means having a good grip on your i/o for acquisition. This can get complicated. But the key point is that different players come in from different sources, which have different costs. You need to balance that view of your costs, with predictions about likely revenue. These predictions will become more accurate the longer a run of real data you have, but by that time your media buying window may have closed.
Since it’s so nailbitingly pricey to acquire players, there is an increasing focus on understanding how to keep them. This has always been of interest. But the truism that usually cheaper to retain a customer than to get a new one is being taken more seriously, now that competition for attention is fiercer than ever.
The areas that service providers are focussing on is often directional. App Annie has recently begun to offer competitor intelligence on how players interact with other games. After offering to integrating player metrics with their store performance data, for free.
There’s lots to say about tech enablers. I’m only going to give a light kick to two aspects of it here – but ask me other things in the question time, or afterwards.
One thing I’m seeing is the need for speed, for taking certain decisions. And with that an interest in streaming architectures and algorithms, particularly Spark streaming. There’s a good piece of work from nucl.ai on this, from one of our London games firms.
I’d like to give a shout out to some open sourced work by Mind Candy, on using probabilistic data structures for stream-based metrics. This is very like the material covered in Ilya Katsov’s ‘Highly scalable’ blog, but it includes links to the source code. Most of these approaches use hashes to enable constant-space scalability, at the expense of perfect accuracy. Agrawal from Berkeley is the author to watch here, if this is your bag. He’s got a whole book on it.
Also on the tech enablers front, there’s something almost unbearably hot in the machining learning world, that hasn’t yet become standard operating procedure in game analytics: deep learning.
Actually this is a better picture. There’s huge excitement about deep learning as it enables the system to learn the features which are important – and not only that – learn a hierarchy of features, with lower level features being more general, and higher level features being category specific. This has resulted in big progress in speech recognition, and visual processing. The visual processing work is particularly interesting as it dovetails well with work on neurology of visual processing, and on mathematical modelling of processing channels.
I have heard of people using it in analysis of play data, for player segmentation, but it’s been more along the lines of ‘I’ve tried everything but the kitchen sink and here’s this cool thing I will try too - I’m not quite sure what it’s good for but hey why not’.
I’d say adoption is at the garage tinkering stage. Hence the picture of the messy machine shop. Which looks a bit like my desk.
I’m not sure what problems in game analystics are the right shape, and have a strong analogy to signal processing. I think that’s tbd.
By frontier zone, I mean places where practice is evolving, interesting, and not settled. You could I guess count the use of deep learning as a discovery technique as a frontier zone. Here are a few more.
I’m not talking about Dark Side of the Moon, as the final frontier. But about being able to segment players (and game elements) in a way that informs design. There’s a particularly good piece of work in this direction from nucl.ai
There has been a fair amount published on churn prediction detection – game play gives off a number of signals that can be useful in this respect. There was some interesting work at CIG2014 on that last summer, from Wooga in collaboration with University of Lausanne. What there’s been less of, is work that integrates churn detection with churn prevention.
Here’s a really good piece of work from the track I chaired. What’s good about it combines analysis for prediction, for analysis to guide interventions. And it worked really well for them.
Another frontier zone I’d wave a hand to is a meeting of minds between games user research and quantitive product management. Games user research is a discipline with its own set of conferences. I went to one in July, in London, and there’s going to be a big one, ChiPlay in London in October. In the whole day there was only one talk that had any numbers in it.
It may not be obvious but these guys could make a great music together if they’d only learn each other’s languages.
Finally here’s something everyone cares about. My poster child for this once again comes from someone else’s work: Meta Brown. She wrote Data Mining for Dummies. She’s not a dummy though. She has an advanced degree in nuclear engineering from MIT. She’s done lots of big ticket analytics project work, and consulting. She gave a talk earlier this summer at the Imperial College Data Science Institute. I’ve never laughed so hard in a data science talk. I can’t begin to imitate her dry midwestern sense of humour, but there was some good stuff she said that I think bears repetition.
This is like the kind of koan you can chant while walking around whacking yourself on the head with a board. It’s that good.
If you don’t get clear agreement about what success looks like – and to whom – success is going to be elusive. Hugely so.
I’m not talking here about collecting basic metrics, but about going offroad, or on a deep dive in search of treasure.
The key message here is to agree the business problem – and understand it as well as possible – before touching a drop of data. I do see people enjoying just diving in to see what’s there, and that’s fun for a side proejct, but being prepped property makes it easier to explore further.
And as you get more complicated – you need more process support. That means Crisp-DM, or some cousin. According to Meta.
Don’t go mad for big data when small data will do. Use it for what it’s good for.
Here I’ve talked about what I think’s going on at the moment. As to what next, let’s take it to the bar.