This document summarizes key points from a lecture on analytics. It discusses why analytics are important to quantify success and make scientific decisions. Good analytics should be simple, relevant, unambiguous and actionable. Key metrics include acquisition, activation, retention, referral and revenue (AARRR). The document also covers website metrics like traffic sources, popular pages and conversions. It discusses optimization testing and competitive intelligence gathering.
Single Pane of Glass Monitoring Tool - Is it a Myth or a RealityJohn Williams
A recent survey by Enterprise Management Associates (EMA) found that a 65% of organizations have over 10 different tools for monitoring and managing their IT infrastructure. Multiple monitoring tools make it expensive to operate and troubleshoot IT infrastructure issues. For many years now, IT managers have been seeking a single-pane-of-glass tool that can help them monitor and manage all aspects of their IT infrastructure – from desktops to servers, hardware to application code, and networks to storage. Is such a single-pane-of-glass solution practical?
View this presentation and learn what a single-pane-of-glass monitoring solution can do and how it can help you simplify IT performance management. Debunk myths and uncover truths. Get answers to some common questions IT professionals have:
• Can a single-pane-of-glass monitoring solution replace all the tools you are using today?
• What are the typical characteristics of such a solution, and what are its pros and cons?
• How does your organization structure need to change to use such a tool?
• How difficult is it to implement a single-pane-of-glass tool?
Simplify and streamline IT monitoring. Become an IT performance superhero.
Why You Should Monitor IT Service Performance in Pre-Production EnvironmentsJohn Williams
An acknowledged good practice is to catch errors early in the service lifecycle, and shifting application and infrastructure monitoring to pre-production environments should be part of this strategy. But neither application performance management (APM), or infrastructure performance management (IPM) alone will successfully address and solve shift-left monitoring requirements. Supporting IT services, such as Citrix, often do not enable IT administrators to quickly isolate and address the causes of performance bottlenecks in testing, resulting in delays, re-work or increased deployment risk.
A converged APM/IPM solution can facilitate true root-cause analysis from an end-to-end IT service perspective, inclusive of both supporting and customer-facing IT services, as well as across multiple service lifecycle stages. In addition, by having all service team members share an easy-to-use interface that is tailored to each of their requirements minimizes learning curves, enhances operational efficiency and ensures user satisfaction by providing a production-grade monitor to IT staff that are working in staging environments.
View the slides from this webinar where John Worthington, Director of Product Marketing, shares how a converged APM/IPM solution can be leveraged effectively in pre-production.
This document discusses the process of developing products for startups. It explains that startups have very different priorities than established companies, as startups focus on finding product-market fit and avoiding running out of resources before achieving success. The document outlines the stages a startup goes through, from coming up with an initial idea, to building a minimum viable product to test with users, to iterating based on collected data and potentially pivoting the concept. It emphasizes that the goal of early product development is to learn quickly through real-world use and testing, rather than perfecting the product up front.
This document summarizes key points from a lecture on marketing. It discusses traditional marketing methods like trade shows, email blasts and advertising. It then covers inbound marketing techniques such as search engine optimization, blogging, social media and viral marketing. The document provides tips for an effective website including landing pages, features lists and call-to-action buttons. Finally, it discusses best practices for copywriting like using short sentences, emphasis and avoiding overly promotional language.
The document outlines key topics from a marketing lecture, including definitions of marketing, traditional marketing tactics like trade shows and email blasts, inbound marketing techniques, viral marketing, optimizing a company website, and best practices for copywriting. Inbound marketing focuses on attracting customers through content like blogs, social media, and opt-in email rather than paid advertising. Viral marketing aims to create user sharing through valuable and engaging content with a viral coefficient above 1. The website and copywriting sections provide tips for clear and direct messaging on the homepage, landing pages, and throughout the site.
This document summarizes a lecture on user interface principles. It covers topics like vision, cognition, memory, action, and emotion as they relate to designing interfaces. Specific principles discussed include proximity, similarity, continuity, symmetry, structure, prominence, sequence, clutter, minimalism, affordances, mental models, metaphors, and direct manipulation. The goal is to design intuitive interfaces that are easy for users to understand and interact with.
This document appears to be a series of slides from an online course about digital advertising and monetization. It covers several key topics:
- An overview of how digital advertising has grown significantly compared to traditional media, with the majority of online ad spending now going towards search and display ads.
- Details on how online advertising works, including the roles of ad networks and real-time bidding. It also outlines different targeting techniques like geography, demographics, behavior, and context.
- Explanations of various pricing models for online ads, such as cost-per-impression, cost-per-click, and cost-per-action models. It provides examples of how revenue is calculated under each model
This document summarizes a lecture on selling products, including various payment models, pricing strategies, and payment methods. It discusses one-time purchases, subscriptions, and pay-as-you-go models, as well as freemium strategies like time-limited, feature-limited, and capacity-limited free versions. It also covers determining optimal prices through analyzing demand curves, using multiple price points through customer segmentation, and other pricing techniques. Finally, it briefly outlines major credit card payment networks.
Single Pane of Glass Monitoring Tool - Is it a Myth or a RealityJohn Williams
A recent survey by Enterprise Management Associates (EMA) found that a 65% of organizations have over 10 different tools for monitoring and managing their IT infrastructure. Multiple monitoring tools make it expensive to operate and troubleshoot IT infrastructure issues. For many years now, IT managers have been seeking a single-pane-of-glass tool that can help them monitor and manage all aspects of their IT infrastructure – from desktops to servers, hardware to application code, and networks to storage. Is such a single-pane-of-glass solution practical?
View this presentation and learn what a single-pane-of-glass monitoring solution can do and how it can help you simplify IT performance management. Debunk myths and uncover truths. Get answers to some common questions IT professionals have:
• Can a single-pane-of-glass monitoring solution replace all the tools you are using today?
• What are the typical characteristics of such a solution, and what are its pros and cons?
• How does your organization structure need to change to use such a tool?
• How difficult is it to implement a single-pane-of-glass tool?
Simplify and streamline IT monitoring. Become an IT performance superhero.
Why You Should Monitor IT Service Performance in Pre-Production EnvironmentsJohn Williams
An acknowledged good practice is to catch errors early in the service lifecycle, and shifting application and infrastructure monitoring to pre-production environments should be part of this strategy. But neither application performance management (APM), or infrastructure performance management (IPM) alone will successfully address and solve shift-left monitoring requirements. Supporting IT services, such as Citrix, often do not enable IT administrators to quickly isolate and address the causes of performance bottlenecks in testing, resulting in delays, re-work or increased deployment risk.
A converged APM/IPM solution can facilitate true root-cause analysis from an end-to-end IT service perspective, inclusive of both supporting and customer-facing IT services, as well as across multiple service lifecycle stages. In addition, by having all service team members share an easy-to-use interface that is tailored to each of their requirements minimizes learning curves, enhances operational efficiency and ensures user satisfaction by providing a production-grade monitor to IT staff that are working in staging environments.
View the slides from this webinar where John Worthington, Director of Product Marketing, shares how a converged APM/IPM solution can be leveraged effectively in pre-production.
This document discusses the process of developing products for startups. It explains that startups have very different priorities than established companies, as startups focus on finding product-market fit and avoiding running out of resources before achieving success. The document outlines the stages a startup goes through, from coming up with an initial idea, to building a minimum viable product to test with users, to iterating based on collected data and potentially pivoting the concept. It emphasizes that the goal of early product development is to learn quickly through real-world use and testing, rather than perfecting the product up front.
This document summarizes key points from a lecture on marketing. It discusses traditional marketing methods like trade shows, email blasts and advertising. It then covers inbound marketing techniques such as search engine optimization, blogging, social media and viral marketing. The document provides tips for an effective website including landing pages, features lists and call-to-action buttons. Finally, it discusses best practices for copywriting like using short sentences, emphasis and avoiding overly promotional language.
The document outlines key topics from a marketing lecture, including definitions of marketing, traditional marketing tactics like trade shows and email blasts, inbound marketing techniques, viral marketing, optimizing a company website, and best practices for copywriting. Inbound marketing focuses on attracting customers through content like blogs, social media, and opt-in email rather than paid advertising. Viral marketing aims to create user sharing through valuable and engaging content with a viral coefficient above 1. The website and copywriting sections provide tips for clear and direct messaging on the homepage, landing pages, and throughout the site.
This document summarizes a lecture on user interface principles. It covers topics like vision, cognition, memory, action, and emotion as they relate to designing interfaces. Specific principles discussed include proximity, similarity, continuity, symmetry, structure, prominence, sequence, clutter, minimalism, affordances, mental models, metaphors, and direct manipulation. The goal is to design intuitive interfaces that are easy for users to understand and interact with.
This document appears to be a series of slides from an online course about digital advertising and monetization. It covers several key topics:
- An overview of how digital advertising has grown significantly compared to traditional media, with the majority of online ad spending now going towards search and display ads.
- Details on how online advertising works, including the roles of ad networks and real-time bidding. It also outlines different targeting techniques like geography, demographics, behavior, and context.
- Explanations of various pricing models for online ads, such as cost-per-impression, cost-per-click, and cost-per-action models. It provides examples of how revenue is calculated under each model
This document summarizes a lecture on selling products, including various payment models, pricing strategies, and payment methods. It discusses one-time purchases, subscriptions, and pay-as-you-go models, as well as freemium strategies like time-limited, feature-limited, and capacity-limited free versions. It also covers determining optimal prices through analyzing demand curves, using multiple price points through customer segmentation, and other pricing techniques. Finally, it briefly outlines major credit card payment networks.
This document summarizes key points from a lecture on analytics and optimization. It discusses why analytics are important to quantify success, enable scientific decisions, and avoid relying on opinions. Good analytics should be simple, relevant, unambiguous, and actionable. Website metrics that were covered include traffic sources, popular pages, funnels, and A/B testing. Optimization techniques like multivariate testing were also discussed. The lecture also touched on competitive intelligence, surveys, and analytics tools.
The Software Entrepreneurship Process 2013gidgreen
This document summarizes a lecture on the process of developing products for startups. It discusses key differences between established companies and startups, including that startups have no existing product or customers. The lecture covers important startup concepts like minimum viable products, collecting customer feedback, iterating based on data, and potentially pivoting the business model or product based on learnings. It emphasizes the need for startups to get outside the building to collect real customer data that can be used to guide the product development process.
This document summarizes a lecture on search engines. It discusses the history of search engines like Google, Yahoo and Bing. It covers how search engines work by crawling websites, indexing pages and serving search results. Key factors that affect search engine rankings are discussed like on-page elements like titles, links and metadata as well as off-page elements like backlinks. The document provides an overview of the search engine results page and global search market shares.
Power Up Your Competitive Price Intelligence With Web DataConnotate
Unprecedented price transparency has shifted the balance of power to the consumer, compressing margins and shattering the strongholds of premium brands. If you are a manufacturer, distributor or retailer, how can you respond to this challenge?
This presentation will reveal strategies for regaining control and improving margins – with real-world success stories that clearly illustrate how manufacturers and retailers are gaining greater visibility into pricing and product positioning throughout the entire supply chain.
The document discusses using Apigee Insights to enable personalized experiences through predictive analytics. Insights uses a GRASP technology to analyze sequential customer behavior patterns at scale from big data sources. This allows building predictive models to anticipate customer needs and adapt interactions in real-time across channels. The platform provides segmentation, predictions, and an interaction layer to deliver the right offer to the right customer at the right time.
Agile and data driven product development oleh Dhiku VP Product KMK OnlineRein Mahatma
Di webinar ini Dhiku akan membawakan materi seputar tips product management, bagaimana proses membangun product digital dengan agile dan data driven. Dimulai dari memahami kebutuhan user, melakukan usability testing, menganalisa data, melakukan prioritas fitur dan perencanaan product roadmap, incremental deployment ke user, sampai evaluasi data untuk pengembangan product yang lebih baik.
Oleh http://www.startupbisnis.com dan http://www.codepolitan.com
Smarter Experimentation with Fully Integrated DataOptimizely
When it comes to your experimentation program, you’re only as reliable as the data you use. When customer data is siloed and fragmented, it impacts the user experience and internal operations. You need to ensure your team is leveraging the most comprehensive visitor and event-level data to build better cross-device user experiences and create highly targeted experiments and personalization strategies for audiences.
In this session, you’ll learn:
- How to fuel better user experiences in Optimizely with centralized, comprehensive, and enriched data from Tealium
- How Tealium can stitch together anonymous and known visitor data and then leverage those audiences within Optimizely to generate more consistent cross-device experiences
- How to leverage both online and offline data to deliver a seamless user experience across devices
- How to connect Optimizely and Tealium using both client-side and server-side integrations for increased performance and real-time experiences
Power Up Competitive Price Intelligence with Web DataConnotate
Unprecedented price transparency has shifted the balance of power to the consumer, compressing margins and shattering the strongholds of premium brands.
Presentation on Agile Testing Days 2018
Title: Agile Thinking drives digital Innovation
An integrated agile process model for digital innovation
Combination of effective agile methods and efficiency of process structure.
Guideline to implement an agile innovation process in organizations
Introduction to Software Products and Startups 2013gidgreen
This document outlines the slides and content for a lecture on software products. The lecture covers topics like defining what a product is, the different layers that make up a product, major software platforms, and the typical activities of a startup. It also discusses how to think about customers as people with emotional and irrational traits, and the goals founders often have when starting a company. The lecture aims to teach attendees how to develop a software idea into a successful product.
Streamlining Feature Engineering Pipelines with Open SourceSoledad Galli
We introduce the main feature engineering and creation techniques used to prepare variables to train machine learning models. We then present the challenges of preparing feature engineering pipelines. And finally, we discuss how open sources libraries can help us streamline our machine learning pipelines.
How BiggerPockets runs experiments faster with performance edgeOptimizely
Whelan Boyd, Product Manager at Optimizely will be joining Alex Wald and Mike McKee from BiggerPockets’s Growth and Engineering teams to share how using Performance Edge by Optimizely can help teams scale experimentation with minimal performance impact to drive better conversion rates and less abandonment.
In this webinar, you’ll learn:
- Best practices for measuring website performance
- Ways to experiment client-side without affecting site performance
- How BiggerPockets saw improved site performance by adopting Performance Edge
Practical model management in the age of Data science and MLQuantUniversity
Sri Krishnamurthy presents on practical model risk management in the age of data science and machine learning. He discusses how machine learning and AI are driving paradigm shifts in finance. However, he cautions that claims about machine learning capabilities need to be balanced with realities about data and model quality. Key challenges include ensuring interpretability, transparency, and proper evaluation of models in production. He promotes his company's solutions for addressing these challenges through end-to-end workflow management and model governance tools.
Modern data processing environments resemble factory lines, transforming raw data to valuable data products. The lean principles that have successfully transformed manufacturing are equally applicable to data processing, and are well aligned with the new trend known as DataOps. In this presentation, we will explain how applying lean and DataOps principles can be implemented as technical data processing solutions and processes in order to eliminate waste and improve data innovation speed. We will go through how to eliminate the following types of waste in data processing systems:
* Cognitive waste - unclear source of truth, dependency sprawl, duplication, ambiguity.
* Operational waste - overhead for deployment, upgrades, and incident recovery.
* Delivery waste - friction and delay in development, testing, and deployment.
* Product waste - misalignment to business value, detach from use cases, push driven development, vanity quality assurance.
We will primarily focus on technical solutions, but some of the waste mentioned requires organisational refactoring to eliminate.
Using Data Science to Build an End-to-End Recommendation SystemVMware Tanzu
This document summarizes the key steps and outcomes of a project to build an end-to-end recommendation system for a power utility company. The system was designed to integrate machine learning models with mobile and call center systems to recommend ancillary products to customers. The project involved exploring customer data, developing machine learning models through an iterative process, and operationalizing the models by building APIs and automated workflows. The new system provided recommendations via microservices and represented an improvement over the utility's previous manual, less rigorous approach to data science and modeling.
Using Web Data to Drive Revenue and Reduce CostsConnotate
This presentation is designed to help companies strengthen their competitive advantage by leveraging publicly available Web sources.
Entrepreneurs, global industry leaders and enterprises of all sizes are turning Web data into lucrative opportunities – creating new revenue-generating products, reducing costs and re-engineering workflows to optimize pricing, streamline reporting, ensure compliance, engage interactively with clients and more.
This presentation uses a variety of success stories to illustrate ways in which businesses can use Web data to drive revenue and streamline operations.
This presentation talks about challenges in typical supply chain processes, benefits of implementing analytics, few use cases, and our app-based development approach for addressing the challenges.
Google Analytics 4 and BigQuery: The New Kids On The Block.pptxOmi Sido
Google Analytics 4 (GA4) is the latest version of Google Analytics, and it offers a number of benefits over the previous Universal Analytics version that can be extremely helpful for businesses.
Connecting your Google Analytics 4 property to BigQuery is easy and it allows you to gain a better understanding of your digital information and data.
To learn more go to https://omisido.com/how-to-link-google-analytics-4-to-bigquery-the-ultimate-guide/
SharePoint for Startups, Tales from the TrenchesDave Healey
Dave Healey presented on using SharePoint for startups. He discussed how SharePoint can facilitate experimentation through the build-measure-learn feedback loop. Specifically, SharePoint enables continuous integration and a large pool of skilled resources. However, the platform requires proactive management. The presentation provided examples of startups using SharePoint to support their lean startup methodology and provided best practices around planning, risk management, and pivoting based on validated learning.
The Secret Guide to Cloud Performance - Cloudlookgidgreen
1) The document presents benchmark results that compare the performance of different cloud providers and instance types across metrics like CPU, concurrency, memory, and disk performance.
2) There is significant variation in performance both between different cloud providers and instance types, and also within the same instance type over time.
3) While the cloud provides benefits like easy resizing and deployment, raw performance is generally better with dedicated hosting and benchmarks show the cloud is not always lower cost. Careful performance testing is needed to select the best instance type for each application.
Localization and Internationalization 2013gidgreen
This document summarizes a lecture on localization. It discusses countries, languages, character sets like Unicode, and text localization. It also covers outsourcing translation, and other localization considerations like numbers, dates, times, currencies, names, and addresses which can vary significantly between cultures and need to be properly localized for software.
This document summarizes key points from a lecture on analytics and optimization. It discusses why analytics are important to quantify success, enable scientific decisions, and avoid relying on opinions. Good analytics should be simple, relevant, unambiguous, and actionable. Website metrics that were covered include traffic sources, popular pages, funnels, and A/B testing. Optimization techniques like multivariate testing were also discussed. The lecture also touched on competitive intelligence, surveys, and analytics tools.
The Software Entrepreneurship Process 2013gidgreen
This document summarizes a lecture on the process of developing products for startups. It discusses key differences between established companies and startups, including that startups have no existing product or customers. The lecture covers important startup concepts like minimum viable products, collecting customer feedback, iterating based on data, and potentially pivoting the business model or product based on learnings. It emphasizes the need for startups to get outside the building to collect real customer data that can be used to guide the product development process.
This document summarizes a lecture on search engines. It discusses the history of search engines like Google, Yahoo and Bing. It covers how search engines work by crawling websites, indexing pages and serving search results. Key factors that affect search engine rankings are discussed like on-page elements like titles, links and metadata as well as off-page elements like backlinks. The document provides an overview of the search engine results page and global search market shares.
Power Up Your Competitive Price Intelligence With Web DataConnotate
Unprecedented price transparency has shifted the balance of power to the consumer, compressing margins and shattering the strongholds of premium brands. If you are a manufacturer, distributor or retailer, how can you respond to this challenge?
This presentation will reveal strategies for regaining control and improving margins – with real-world success stories that clearly illustrate how manufacturers and retailers are gaining greater visibility into pricing and product positioning throughout the entire supply chain.
The document discusses using Apigee Insights to enable personalized experiences through predictive analytics. Insights uses a GRASP technology to analyze sequential customer behavior patterns at scale from big data sources. This allows building predictive models to anticipate customer needs and adapt interactions in real-time across channels. The platform provides segmentation, predictions, and an interaction layer to deliver the right offer to the right customer at the right time.
Agile and data driven product development oleh Dhiku VP Product KMK OnlineRein Mahatma
Di webinar ini Dhiku akan membawakan materi seputar tips product management, bagaimana proses membangun product digital dengan agile dan data driven. Dimulai dari memahami kebutuhan user, melakukan usability testing, menganalisa data, melakukan prioritas fitur dan perencanaan product roadmap, incremental deployment ke user, sampai evaluasi data untuk pengembangan product yang lebih baik.
Oleh http://www.startupbisnis.com dan http://www.codepolitan.com
Smarter Experimentation with Fully Integrated DataOptimizely
When it comes to your experimentation program, you’re only as reliable as the data you use. When customer data is siloed and fragmented, it impacts the user experience and internal operations. You need to ensure your team is leveraging the most comprehensive visitor and event-level data to build better cross-device user experiences and create highly targeted experiments and personalization strategies for audiences.
In this session, you’ll learn:
- How to fuel better user experiences in Optimizely with centralized, comprehensive, and enriched data from Tealium
- How Tealium can stitch together anonymous and known visitor data and then leverage those audiences within Optimizely to generate more consistent cross-device experiences
- How to leverage both online and offline data to deliver a seamless user experience across devices
- How to connect Optimizely and Tealium using both client-side and server-side integrations for increased performance and real-time experiences
Power Up Competitive Price Intelligence with Web DataConnotate
Unprecedented price transparency has shifted the balance of power to the consumer, compressing margins and shattering the strongholds of premium brands.
Presentation on Agile Testing Days 2018
Title: Agile Thinking drives digital Innovation
An integrated agile process model for digital innovation
Combination of effective agile methods and efficiency of process structure.
Guideline to implement an agile innovation process in organizations
Introduction to Software Products and Startups 2013gidgreen
This document outlines the slides and content for a lecture on software products. The lecture covers topics like defining what a product is, the different layers that make up a product, major software platforms, and the typical activities of a startup. It also discusses how to think about customers as people with emotional and irrational traits, and the goals founders often have when starting a company. The lecture aims to teach attendees how to develop a software idea into a successful product.
Streamlining Feature Engineering Pipelines with Open SourceSoledad Galli
We introduce the main feature engineering and creation techniques used to prepare variables to train machine learning models. We then present the challenges of preparing feature engineering pipelines. And finally, we discuss how open sources libraries can help us streamline our machine learning pipelines.
How BiggerPockets runs experiments faster with performance edgeOptimizely
Whelan Boyd, Product Manager at Optimizely will be joining Alex Wald and Mike McKee from BiggerPockets’s Growth and Engineering teams to share how using Performance Edge by Optimizely can help teams scale experimentation with minimal performance impact to drive better conversion rates and less abandonment.
In this webinar, you’ll learn:
- Best practices for measuring website performance
- Ways to experiment client-side without affecting site performance
- How BiggerPockets saw improved site performance by adopting Performance Edge
Practical model management in the age of Data science and MLQuantUniversity
Sri Krishnamurthy presents on practical model risk management in the age of data science and machine learning. He discusses how machine learning and AI are driving paradigm shifts in finance. However, he cautions that claims about machine learning capabilities need to be balanced with realities about data and model quality. Key challenges include ensuring interpretability, transparency, and proper evaluation of models in production. He promotes his company's solutions for addressing these challenges through end-to-end workflow management and model governance tools.
Modern data processing environments resemble factory lines, transforming raw data to valuable data products. The lean principles that have successfully transformed manufacturing are equally applicable to data processing, and are well aligned with the new trend known as DataOps. In this presentation, we will explain how applying lean and DataOps principles can be implemented as technical data processing solutions and processes in order to eliminate waste and improve data innovation speed. We will go through how to eliminate the following types of waste in data processing systems:
* Cognitive waste - unclear source of truth, dependency sprawl, duplication, ambiguity.
* Operational waste - overhead for deployment, upgrades, and incident recovery.
* Delivery waste - friction and delay in development, testing, and deployment.
* Product waste - misalignment to business value, detach from use cases, push driven development, vanity quality assurance.
We will primarily focus on technical solutions, but some of the waste mentioned requires organisational refactoring to eliminate.
Using Data Science to Build an End-to-End Recommendation SystemVMware Tanzu
This document summarizes the key steps and outcomes of a project to build an end-to-end recommendation system for a power utility company. The system was designed to integrate machine learning models with mobile and call center systems to recommend ancillary products to customers. The project involved exploring customer data, developing machine learning models through an iterative process, and operationalizing the models by building APIs and automated workflows. The new system provided recommendations via microservices and represented an improvement over the utility's previous manual, less rigorous approach to data science and modeling.
Using Web Data to Drive Revenue and Reduce CostsConnotate
This presentation is designed to help companies strengthen their competitive advantage by leveraging publicly available Web sources.
Entrepreneurs, global industry leaders and enterprises of all sizes are turning Web data into lucrative opportunities – creating new revenue-generating products, reducing costs and re-engineering workflows to optimize pricing, streamline reporting, ensure compliance, engage interactively with clients and more.
This presentation uses a variety of success stories to illustrate ways in which businesses can use Web data to drive revenue and streamline operations.
This presentation talks about challenges in typical supply chain processes, benefits of implementing analytics, few use cases, and our app-based development approach for addressing the challenges.
Google Analytics 4 and BigQuery: The New Kids On The Block.pptxOmi Sido
Google Analytics 4 (GA4) is the latest version of Google Analytics, and it offers a number of benefits over the previous Universal Analytics version that can be extremely helpful for businesses.
Connecting your Google Analytics 4 property to BigQuery is easy and it allows you to gain a better understanding of your digital information and data.
To learn more go to https://omisido.com/how-to-link-google-analytics-4-to-bigquery-the-ultimate-guide/
SharePoint for Startups, Tales from the TrenchesDave Healey
Dave Healey presented on using SharePoint for startups. He discussed how SharePoint can facilitate experimentation through the build-measure-learn feedback loop. Specifically, SharePoint enables continuous integration and a large pool of skilled resources. However, the platform requires proactive management. The presentation provided examples of startups using SharePoint to support their lean startup methodology and provided best practices around planning, risk management, and pivoting based on validated learning.
The Secret Guide to Cloud Performance - Cloudlookgidgreen
1) The document presents benchmark results that compare the performance of different cloud providers and instance types across metrics like CPU, concurrency, memory, and disk performance.
2) There is significant variation in performance both between different cloud providers and instance types, and also within the same instance type over time.
3) While the cloud provides benefits like easy resizing and deployment, raw performance is generally better with dedicated hosting and benchmarks show the cloud is not always lower cost. Careful performance testing is needed to select the best instance type for each application.
Localization and Internationalization 2013gidgreen
This document summarizes a lecture on localization. It discusses countries, languages, character sets like Unicode, and text localization. It also covers outsourcing translation, and other localization considerations like numbers, dates, times, currencies, names, and addresses which can vary significantly between cultures and need to be properly localized for software.
This document summarizes a lecture on web API design. The lecture covers topics such as REST, data formats like JSON and XML, security using authentication and signing, maintenance through versioning and monitoring, and documentation. It provides examples of RESTful URLs and HTTP methods. The goal is to educate developers on best practices for designing web APIs.
This document summarizes key points from a lecture on selling advertising. It discusses the differences between traditional and digital advertising, how the online advertising market has grown significantly in recent decades, and the major advertising formats including search, display, mobile and video. It also covers targeting techniques, pricing models like cost per click and cost per acquisition, common ad sizes, and ethical issues around advertising.
The document is a lecture on selling products that discusses various payment models like one-time purchases, subscriptions, and pay-as-you-go. It covers pricing strategies like setting an optimal price point, customer segmentation, and justifying high prices. It also discusses payment methods like credit cards, PayPal, app stores, and invoicing. Finally, it outlines common problems like fraud, chargebacks, refunds, and the need for good customer support. The overall document provides an overview of concepts and strategies for monetizing digital products and services.
This document summarizes a lecture on user interface design. It discusses the UI design process, including understanding users, defining entities and properties, sketching interfaces, and designing key workflows. It provides examples of UI patterns for user registration, search, and presents mockups for a birthday reminder website. The lecture emphasizes designing for specific user needs, testing designs through feedback, and prioritizing functionality over visual design initially.
This document outlines principles for user interface design from a lecture on the topic. It discusses concepts like vision, cognition, memory, action, and emotion. For vision, it covers principles such as proximity, similarity, continuity, symmetry, and figure/ground perception. For cognition, it discusses mental models, metaphors, and reducing unnecessary burdens. For memory, it discusses short-term and long-term memory as well as context, instructions, and consistency. For action, it discusses goals, evaluation, information scent, direct manipulation, and common actions. Finally, it discusses emotional concepts like waiting times, time limits, and avoiding insults.
This document summarizes a lecture on search engine visibility and optimization. It discusses the history of major search engines like Google, Yahoo, and Bing. It also covers topics like how search engines work by crawling, indexing and searching web pages; important on-page and off-page factors that influence search rankings; and best practices and recommendations for search engine optimization. Key metrics on search engine usage are presented, such as Google's dominance in global search and more people clicking on organic than paid search results.
The document discusses localization for global software and websites. It covers topics like countries and languages, character sets, Unicode, text localization, and outsourcing translation. Specifically, it provides information on localization challenges like different character sets, the benefits of Unicode as a global character set, techniques for localizing text like using translation IDs instead of hardcoding text, and considerations for outsourcing translation like preparing assets and choosing a translation provider.
The document summarizes key points from a lecture on user interface design. It discusses the importance of designing interfaces with the user in mind and outlines the user research, information architecture, and design processes. Examples of common UI patterns like registration, search, and navigation are provided along with tips for visual design and prototyping.
Introduction to Software Products and Startupsgidgreen
The document is a slide deck for a lecture on software products. It discusses how to develop a successful software product by understanding people and their needs/behaviors. It covers topics like the layers of a product, major software platforms, what startups do, founder goals, and external resources. The overall goal is to teach how to turn an idea/technology into a product that delights users and becomes a profitable business.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
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!
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
2. Lecture 8
• Introduction
• Website metrics
• Optimization
• Competitive intelligence
• Surveys
• Tools and books
From Code to Product Lecture 8 — Analytics— Slide 2 gidgreen.com/course
3. Why analytics?
• Quantify success/failure
– For yourselves
– For investors
– Against competition
• Scientific decisions
– No blind faith
– Fewer arguments
– Avoid HiPPO = highest paid person’s opinion
From Code to Product Lecture 8 — Analytics— Slide 3 gidgreen.com/course
4. Good analytics
• Simple
• Few in number
• Relevant
• Unambiguous
• Actionable
• Instant (or nearly)
• Repeatable
From Code to Product Lecture 8 — Analytics— Slide 4 gidgreen.com/course
5. AARRR — Metrics for pirates
Acquisition Site visit or app download
Activation Registration or usage
Dave McClure, 500 Startups
Retention Repeat usage
Referral Brings other people
Revenue Generate cash
From Code to Product Lecture 8 — Analytics— Slide 5 gidgreen.com/course
6. Some quotes
“What gets measured, gets managed.”
— Peter Drucker
“The only metrics that entrepreneurs
should invest energy in collecting are
those that help them make decisions.”
— Eric Ries, The Lean Startup
From Code to Product Lecture 8 — Analytics— Slide 6 gidgreen.com/course
7. In-app analytics
• Home rolled or third party
• Store usage information locally
– ‘Call home’ when online
• Privacy concerns
– Confirmation dialog?
• Complete access to device
– But you will be caught!
• Problem: slow iteration
From Code to Product Lecture 8 — Analytics— Slide 7 gidgreen.com/course
8. Web analytics
• All activity visible to site
– Users don’t expect privacy
• Web servers log requests
– Also: Javascript solutions
• Page view centric
– Other events require integration
– Coffee break?
– Events not sessions
From Code to Product Lecture 8 — Analytics— Slide 8 gidgreen.com/course
9. A web server log line
www.websudoku.com
24.186.55.113
[06/May/2012:08:13:02 -0400]
"GET / HTTP/1.1”
200
1045
"http://www.google.com/search?q=sudoku”
"Mozilla/5.0 (iPhone; CPU iPhone OS 5_1
like Mac OS X) AppleWebKit/534.46 (KHTML,
like Gecko) Mobile/9B179 Safari/7534.48.3"
From Code to Product Lecture 8 — Analytics— Slide 9 gidgreen.com/course
10. Javascript tracking code
<script type="text/javascript”>
var _gaq = _gaq || [];
_gaq.push(['_setAccount', 'UA-1165533-3']);
_gaq.push(['_trackPageview']);
(function() {
var ga = document.createElement('script'); ga.type =
'text/javascript'; ga.async = true;
ga.src = ('https:' == document.location.protocol ?
'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
var s = document.getElementsByTagName('script')[0];
s.parentNode.insertBefore(ga, s);
})();
</script>
From Code to Product Lecture 8 — Analytics— Slide 10 gidgreen.com/course
11. Metrics alternatives
Server logs Javascript Home-made
Integration None Via HTML Server code
Download + Web-based
Convenience Up to you
analyze access
Delay None Up to 24 hours Up to you
Reporting Varies Advanced Up to you
Other events Hard Via API Easy
Data leakage None Total! None
From Code to Product Lecture 4 — UI Design— Slide 11 gidgreen.com/course
12. Track web users by…
• IP address
– Given for every web request
– Good for geography
– But: proxies, classrooms, router resets
• Cookies
– Track user browser over long term
– But: clearing, multi-browsing, first request
– Customization of web server
From Code to Product Lecture 8 — Analytics— Slide 12 gidgreen.com/course
13. Track web users by…
• Log in
– Reliable for registered users
– But: anonymous users, multiple accounts
– Requires custom logging tools
• Solution: combine!
– Intelligently tie IPs, cookies and accounts
– Example: user registration
• Data always incomplete
From Code to Product Lecture 8 — Analytics— Slide 13 gidgreen.com/course
14. Lecture 8
• Introduction
• Website metrics
• Optimization
• Competitive intelligence
• Surveys
• Tools and books
From Code to Product Lecture 8 — Analytics— Slide 14 gidgreen.com/course
16. Immediate questions
• When does one visit end?
– GA: 30 minutes without activity
• What makes a visitor unique?
– GA: Tracking cookie
• How is duration calculated?
– GA: Time between first and last pages
• What makes a visitor new?
– GA: Never visited your site before
From Code to Product Lecture 8 — Analytics— Slide 16 gidgreen.com/course
17. Geography
From Code to Product Lecture 6 — BM — Advertising— Slide 17 gidgreen.com/course
20. Sources of traffic
• Type-in (no referrer)
– Includes browser bookmarks
• Search engines
– Navigational search = type-in
• Referrals
– Website links or social media
• Paid advertising
• Email campaigns
From Code to Product Lecture 8 — Analytics— Slide 20 gidgreen.com/course
21. The multitouch problem
• There’s history before the referrer
– Who deserves the credit, e.g. affiliates
• So who gets the credit?
– Last click (standard)
– First click (unrealistic)
– Even split
– Split weighted to last
• Real question: what gives best ROI?
From Code to Product Lecture 8 — Analytics— Slide 21 gidgreen.com/course
22. Search engine queries
Also: internal site search
From Code to Product Lecture 8 — Analytics— Slide 22 gidgreen.com/course
26. Conversion funnel
Source: www.searchenginejournal.com
From Code to Product Lecture 8 — Analytics— Slide 26 gidgreen.com/course
27. Sampling methods
• Popular site => lots of data
– Burden to collect, slow to analyze
• Don’t record all events
– Choose important pages
– Random subset of visitors
– Random subset of pageviews
• Sub-sample when analyzing
– By page or visitor
From Code to Product Lecture 8 — Analytics— Slide 27 gidgreen.com/course
28. Staleness due to changes in…
• Content
• User familiarity
• Search engine rankings
• Market
• Technology
• Cookies
– Long-term analysis would be great!
From Code to Product Lecture 8 — Analytics— Slide 28 gidgreen.com/course
29. Lecture 8
• Introduction
• Website metrics
• Optimization
• Competitive intelligence
• Surveys
• Tools and books
From Code to Product Lecture 8 — Analytics— Slide 29 gidgreen.com/course
30. Optimization
• You don’t know how users behave
– Example: show price early on?
• Small changes => big results
– But which small changes?
• Use a scientific methodology
– Easy to set up
– Easy to get report
– Statistical significance
From Code to Product Lecture 8 — Analytics— Slide 30 gidgreen.com/course
31. Wording example
you_should_follow_me_on_twitter.html
Source: http://www.dustincurtis.com/
From Code to Product Lecture 8 — Analytics— Slide 31 gidgreen.com/course
32. A/B testing
• Two parallel variations
– Current vs challenger
• Assign randomly and evenly
– What about previous visitors?
– Repeat requests within a session?
• Set test length in advance
– Length of time or number of visits
• Chi-squared (or similar) test
From Code to Product Lecture 8 — Analytics— Slide 32 gidgreen.com/course
33. Contingency table
Product Not
purchased purchased
9 575
13 563
From Code to Product Lecture 8 — Analytics— Slide 33 gidgreen.com/course
34. Multivariate testing
Source: http://www.getelastic.com/testing-
part-1/
From Code to Product Lecture 8 — Analytics— Slide 34 gidgreen.com/course
35. Multivariate testing
• Best to use third-party tool
• Full factorial vs partial factorial
– Certainty vs efficiency
From Code to Product Lecture 8 — Analytics— Slide 35 gidgreen.com/course
36. Optimization pitfalls
• Preconception driven
– Too many similar tests
– Checking before it’s done
• Wrong goal
– e.g. started vs completed purchases
• Unfair test
– Different time periods
– New vs returning users
From Code to Product Lecture 8 — Analytics— Slide 36 gidgreen.com/course
37. More complex tests
• Non-binary outcomes
– Size of purchase, length of stay
• Cohort / longitudinal tests
• Whole-site multivariate testing
• Pricing
– How to prevent a riot?
• Spot diminishing returns
– Focus on registration, payment, etc…
From Code to Product Lecture 8 — Analytics— Slide 37 gidgreen.com/course
38. Lecture 8
• Introduction
• Website metrics
• Optimization
• Competitive intelligence
• Surveys
• Tools and books
From Code to Product Lecture 8 — Analytics— Slide 38 gidgreen.com/course
49. Revenue
Also: UK
private
companies
From Code to Product Lecture 8 — Analytics— Slide 49 gidgreen.com/course
50. Revenue
$200k
From Code to Product Lecture 8 — Analytics— Slide 50 gidgreen.com/course
51. Lecture 8
• Introduction
• Website metrics
• Optimization
• Competitive intelligence
• Surveys
• Tools and books
From Code to Product Lecture 8 — Analytics— Slide 51 gidgreen.com/course
52. Why surveys?
• Customer feedback en masse
– Initiated by you (email/web)
– Avoid vocal minority
• Understand market
– Job descriptions
– Size of company
– Use of product
• How did you find me?
From Code to Product Lecture 8 — Analytics— Slide 52 gidgreen.com/course
53. Why surveys?
• Help with strategic decisions
– Premium offerings
– Major new versions
• Customer satisfaction
– Quantify word of mouth
• Understand abandonment
– But hard to motivate response
• Open-ended feedback
From Code to Product Lecture 8 — Analytics— Slide 53 gidgreen.com/course
54. Sources of bias
• Non-response bias
– Busy customer ≠ bad customer
• Response bias
– Word questions objectively
• Predictions vs facts
– Would you pay? How much?
• Snapshot in time
– Lots of data vs ongoing data
From Code to Product Lecture 8 — Analytics— Slide 54 gidgreen.com/course
55. Good survey design
• Keep it short!
– Focus on objectives
• Minimize burden on user
– Easy questions, especially at start
– Multiple choice
• Make it feel anonymous
– Social desirability bias
• Free text at end
From Code to Product Lecture 8 — Analytics— Slide 55 gidgreen.com/course
56. Bad questions
When did you last go online and buy something?
Would you buy our superior product?
Are you willing to pay for things online?
If we created a reliable and bug-free product which
had all of the features that you requested in
response to the questions in this survey, would you
be willing to pay us $10 per month for it?
What are you looking for?
From Code to Product Lecture 8 — Analytics— Slide 56 gidgreen.com/course
57. Lecture 8
• Introduction
• Website metrics
• Optimization
• Competitive intelligence
• Surveys
• Tools and books
From Code to Product Lecture 8 — Analytics— Slide 57 gidgreen.com/course