UK Cookie Law Compliance: Implications & Answers Ensighten
Enterprise tag management solutions help companies manage third-party tags like ad networks, social sharing tools, and analytics on their websites. These solutions can help websites load faster, manage how consumer data is collected, and ensure compliance with privacy regulations. Ensighten is one such enterprise tag management provider that has over 40 Fortune 1000 customers. It discussed how its technology can help companies comply with new cookie laws and privacy regulations while still using tags and cookies to provide personalized experiences.
PublicInsite is a leading web analytics and SEO firm with offices in Boston and Ottawa. They help clients measure their online marketing performance through analytics tools like Google Analytics. They specialize in measuring public sector websites and ensuring metrics are aligned with goals. PublicInsite collects data on website traffic from log files on web servers and page tags to track user behavior and identify trends to improve conversion and retention.
Beyond WCM: Driving Business from Your WebsiteMarqui CMS
A strategic shift in ownership of corporate websites is occurring with power moving from IT departments to marketing teams. Until recently, content management systems were the responsibility of IT to centralize control of content.
Now, marketers seek to fully leverage the web as the critical channel to drive business results. Marketers are seeking solutions that are agile and able to attract visitors and convert leads.
This webinar covers:
• The challenges and opportunities offered by the web as a channel to drive growth
• The needs of web content management for marketing success verses IT control
• Steps to take to harness the potential of the web to build demand
• What skills really matter for marketers to win with web marketing
In this session 2b of the program "Making Your Funnel Work" we talk about legal issues facing Startups when conducting digital marketing.
This program is made possible by Startupbootcampand E-commecemanagers.com (https://e-commercemanagers.com)
Jay Murphy, a Boston University instructor and Google Analytics pro, shows Newport Interactive Marketers how to use Google Analytics to drive ROI. Great presentation to get an understanding on how to use Google Analytics to enhance users' experience on your page.
This document provides an overview of web analytics and its application to five of Singapore's most popular websites. It discusses how web analytics can help each type of website meet its objectives by analyzing acquisition, behavior, and conversion metrics. The types of websites examined are e-commerce (Groupon), e-service (OCBC), classifieds (sgCarMart), news (The Straits Times), and information (NTU). Limitations of Google Analytics are also identified.
This document provides an agenda for a Google Analytics training session. The agenda includes topics such as getting started with Google Analytics, navigating the interface, audience, acquisition, behavior, and conversion reports. It also covers account administration, advanced tracking implementations, measuring content, importing and extracting data, and common applications of Google Analytics. The training emphasizes using Google Analytics for analysis rather than just reporting, and how to tell data-driven stories to different audiences. It provides best practices for setting up views and segments, understanding users, tracking campaigns and visitor engagement, and setting up conversion goals.
Understanding Google Analytics: Who's Oggling My CompanyKimberly Swetland
Google Analytics is a web analytics service that provides statistics about visitors to websites. It was created when Google acquired Urchin Software Corp. in 2005 and uses JavaScript code added to websites to collect visitor data and send it to Google servers. The service provides key metrics about site usage including traffic sources, top pages, keywords, and mobile usage. It also allows customizing dashboards and setting goals. The data can help optimize websites and measure marketing campaign effectiveness. However, analytics data is collected without user permission raising privacy concerns.
UK Cookie Law Compliance: Implications & Answers Ensighten
Enterprise tag management solutions help companies manage third-party tags like ad networks, social sharing tools, and analytics on their websites. These solutions can help websites load faster, manage how consumer data is collected, and ensure compliance with privacy regulations. Ensighten is one such enterprise tag management provider that has over 40 Fortune 1000 customers. It discussed how its technology can help companies comply with new cookie laws and privacy regulations while still using tags and cookies to provide personalized experiences.
PublicInsite is a leading web analytics and SEO firm with offices in Boston and Ottawa. They help clients measure their online marketing performance through analytics tools like Google Analytics. They specialize in measuring public sector websites and ensuring metrics are aligned with goals. PublicInsite collects data on website traffic from log files on web servers and page tags to track user behavior and identify trends to improve conversion and retention.
Beyond WCM: Driving Business from Your WebsiteMarqui CMS
A strategic shift in ownership of corporate websites is occurring with power moving from IT departments to marketing teams. Until recently, content management systems were the responsibility of IT to centralize control of content.
Now, marketers seek to fully leverage the web as the critical channel to drive business results. Marketers are seeking solutions that are agile and able to attract visitors and convert leads.
This webinar covers:
• The challenges and opportunities offered by the web as a channel to drive growth
• The needs of web content management for marketing success verses IT control
• Steps to take to harness the potential of the web to build demand
• What skills really matter for marketers to win with web marketing
In this session 2b of the program "Making Your Funnel Work" we talk about legal issues facing Startups when conducting digital marketing.
This program is made possible by Startupbootcampand E-commecemanagers.com (https://e-commercemanagers.com)
Jay Murphy, a Boston University instructor and Google Analytics pro, shows Newport Interactive Marketers how to use Google Analytics to drive ROI. Great presentation to get an understanding on how to use Google Analytics to enhance users' experience on your page.
This document provides an overview of web analytics and its application to five of Singapore's most popular websites. It discusses how web analytics can help each type of website meet its objectives by analyzing acquisition, behavior, and conversion metrics. The types of websites examined are e-commerce (Groupon), e-service (OCBC), classifieds (sgCarMart), news (The Straits Times), and information (NTU). Limitations of Google Analytics are also identified.
This document provides an agenda for a Google Analytics training session. The agenda includes topics such as getting started with Google Analytics, navigating the interface, audience, acquisition, behavior, and conversion reports. It also covers account administration, advanced tracking implementations, measuring content, importing and extracting data, and common applications of Google Analytics. The training emphasizes using Google Analytics for analysis rather than just reporting, and how to tell data-driven stories to different audiences. It provides best practices for setting up views and segments, understanding users, tracking campaigns and visitor engagement, and setting up conversion goals.
Understanding Google Analytics: Who's Oggling My CompanyKimberly Swetland
Google Analytics is a web analytics service that provides statistics about visitors to websites. It was created when Google acquired Urchin Software Corp. in 2005 and uses JavaScript code added to websites to collect visitor data and send it to Google servers. The service provides key metrics about site usage including traffic sources, top pages, keywords, and mobile usage. It also allows customizing dashboards and setting goals. The data can help optimize websites and measure marketing campaign effectiveness. However, analytics data is collected without user permission raising privacy concerns.
How much time do you spend mashing up web analytics data vs. looking for data insights? Your Analytics Site automates the data extraction form multiple marketing channels, including WebTrends, Google Analytics, Twitter, YouTube, Slideshare and Flickr with more be added. Each dashboard is customized to satisfy each clients specific business needs. What you get, one cohesive, actionable and visually interactive reporting mechanism for your all your analytics.
The anlaytics industry is in the biggest state of flux at this time with Adobe SiteCatalyst 15, Google Beta and WebTrends 10 hitting the market. Analytics, as a field, is changing faster than ever and the need of integrating analytics with more and more channels is increasing. The PPT covers some aspects of the tools and technologies available for advance analytics reporting and insights.
Lavacon 2012 How Documentation Teams Can Use Web Analytics to Expand their Co...bzebian
n this session, Karen Buchanan and Bob Zebian of IBM will describe how Web analytics play an increasing role in improving documentation quality, and how documentation teams can expand their value across the enterprise by sharing this information with other teams such as Quality Assurance, Development, Product Management, and Executive Management.
The document provides an overview of web analytics solutions from Unica and eGlobal NZ. It discusses NetTracker and NetInsight tools for analyzing website usage data. Key features highlighted include intuitive dashboards, pre-built KPIs, integration with other data sources, and flexible data collection methods like log files and page tagging. Customers can use the tools to better understand visitor behavior and optimize their websites.
How to use Adobe Analytics features for data analysis & personalization.pdfTech Modena
How to use Adobe Analytics features for data analysis & personalization
With Adobe Analytics features, businesses can conduct thorough data analysis, uncovering valuable insights that enable effective personalization strategies for delivering tailored and engaging experiences to their audience.
Organizations gather a lot of data to understand customers, improve products, and enhance experiences. But analyzing this data for useful insights can be a challenge. That’s where Adobe Analytics comes in.
Adobe Analytics, part of Adobe Experience Cloud, helps businesses make sense of data from various digital channels. It provides real-time insights, enabling effective marketing campaigns and better customer experiences. Integrated with other Adobe platforms, it enhances audience targeting and marketing activities.
Amidst the noise of data, our experts discuss how Adobe Analytics tackles challenges, making data-driven decisions easier and personalizing experiences for every user.
What is Adobe Analytics?
Adobe Analytics, once known as Omniture SiteCatalyst, is a top-notch tool for analyzing data across various channels. It’s a key component of the Adobe Marketing Cloud, offering plugins for assessing campaign performance not just on websites but also on mobile apps and video platforms.
Adobe Analytics empowers marketers by offering valuable insights to make informed decisions. By leveraging this data, marketers aim to increase revenues, boost conversions, and reduce advertising costs. Success with Adobe Analytics, like any data analytics platform, relies on accurately interpreting marketing metrics derived from available data.
Types of Data Captured by Adobe Analytics
Adobe Analytics gathers data from websites, mobile apps, and other sources to create reports. They call this data metrics or key performance indicators (KPIs), showing quantitative info about your website’s performance. The main tracked metric categories are:
Traffic metrics: Details about your visitors, revealing public attention through marketing, PR, and services.
Conversion metrics: Info on user actions to measure website engagement.
Calculated metrics: Custom metrics you create by combining existing ones.
Video metrics: Stats like total views, time spent, and completion rates.
Social metrics: Data to track your brand’s presence on social media.
To protect privacy, Adobe only collects non-personally identifiable information (PII), like a visitor’s zip code, avoiding sensitive data to ensure individual identity remains safe.
Benefits of Adobe Analytics
Quick Web Insights: Adobe Analytics helps you get speedy results by collecting web data in real-time. It’s like having a super-fast tool to understand what’s happening on your website.
Smart Marketing Know-How: We’re not just about analytics; we cover all the new digital stuff. With Adobe Analytics, you can see everything about your customers in one go, getting smart insights in no time.
Better Choices with Attribution: Figure out what’s
This document discusses how web analytics can be applied beyond marketing to performance management and capacity planning. It describes how performance analysts and capacity planners can use web analytics data to diagnose performance issues, develop benchmarks and forecasts, and set alerts for anomalies. While web analytics can impact performance, it provides insights that complement traditional monitoring tools when problems are difficult to isolate or workloads need to accurately represent user behavior.
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDYIRJET Journal
This document discusses research challenges in web analytics. It begins with an introduction to web analytics and its uses and features such as improving user experience, enhancing e-commerce, and tracking marketing campaigns. Some common web analytics tools are then described such as Google Analytics, Excel, and Tableau. The web analytics process involves defining goals, collecting and analyzing data, reporting results, developing online strategies, and testing improvements. Key research challenges discussed include data privacy issues, evaluating e-commerce sites using tools like Google Analytics, and using analytics to improve access to archival resources online.
Google Analytics 101 provides an overview of web analytics and how to use Google Analytics. It discusses the difference between web metrics and web analytics, how Google Analytics works and its key features. It also covers setting up an account, activating tracking, and navigating the reporting interface to analyze metrics and optimize a website. The webinar demonstrates how to implement tracking code and shows examples of reports.
This document provides an introduction to web analytics. It defines web analytics as the measurement, collection, analysis and reporting of internet data to understand and optimize web usage. The main goals of web analytics are to measure traffic, understand user behavior on websites, and optimize websites. It discusses different categories of web analytics including on-site and off-site analytics. Common web analytics tools like Google Analytics use page tagging to collect data as users interact with websites. Key metrics that web analytics measures are discussed like visits, time on site, bounce rate, and conversion rate. The document also covers common web analytics products, how data is collected and stored, and factors to consider when selecting a web analytics tool.
Society is a consulting firm with 250 employees across 13 states that provides analytics, technology, and operations services. It helps clients compete on customer experience and delivers services including digital analytics, data platforms, data science, and flexible engagements. Society works with major brands in tech, media, retail, and other industries.
This document provides an overview of web analytics and Google Analytics. It defines web analytics, discusses ways to analyze data both traditionally and through the web analytics paradigm. It also covers setting up goals and funnels in Google Analytics, using segments, alerts and enhanced ecommerce tracking. A key section discusses attribution modeling and how to set up a custom attribution model based on an understanding of your business and customer journey.
The document provides an overview of tools for social media marketing and web analytics. It discusses Buffer, HootSuite, Canva, Trello and Hotjar as tools for social media marketing and communication. It also discusses Google Analytics, audience analytics, acquisition analytics, behaviour analytics and conversion analytics as tools for web analytics. The purpose of web analytics is to understand and improve the online user experience and optimize digital marketing campaigns. Data is collected using these various analytics tools and analyzed to gain insights.
This document provides an introduction to web analytics. It begins with explaining why web analytics is needed by discussing how offline marketing lacks accountability and measurability. It then defines web analytics as the measurement, collection, analysis and reporting of internet data to understand and optimize web usage. The document outlines different types of web analytics including on-site and off-site. It also discusses the history and context of web analytics within decision support systems and business intelligence. Finally, it covers the main website data collection methods of server log file analysis and page tagging.
This document provides an introduction to web analytics. It discusses why web analytics is needed to measure the success of digital marketing efforts. Web analytics involves measuring, collecting, analyzing and reporting internet data to understand and optimize web usage. There are two main methods for collecting web analytics data: server log file analysis and page tagging. Server log files record information from a website's server, while page tagging involves including tracking code on website pages that collects user interaction data. The document outlines the advantages and considerations of each data collection method.
The document discusses collecting data on a mobile app over two time periods to analyze the impact of new features on key metrics like new users, sessions, and session duration. Data was collected using Google Analytics on dimensions like user type, sessions, and devices. The hypothesis is that the app would see a sudden influx of new users and increased usage with the addition of a new useful feature. Statistics were analyzed and visualized to evaluate if the hypotheses were true and identify reasons for the outcomes. A non-visualized data set with metrics for app versions over the periods is also presented.
Web Analytics is a technique that you can employ to collect, measure, report, and analyze your website data.
One of the widely used Web Analytics is Google Analytics.
Google Analytics takes minutes to learn but years to master.
Objectives of today’s study to get started with Google Analytics:
> Creating a Google Analytics Account
> Placing Google Analytics on one’s Website
> Obtaining Clean Data on one’s Website
> Setting goals for one’s Website
> Analyzing Content Performance
> Tracking SEO Results in Google Analytics
> Tracking Social Media Activity on one’s Website
> Creating Custom Dashboard for the Business
> What else can you do with Google Analytics?
This document discusses web analytics and how it can be used to improve websites and customer experience. It presents a web analytics process consisting of defining goals and key performance indicators (KPIs), collecting data, analyzing the data, and taking action. The process aims to understand customer behavior and improve website performance and profitability. It describes common data collection methods like web logs, JavaScript tagging, web beacons, and packet sniffing. It emphasizes defining relevant and timely KPIs aligned with business goals and analyzing basic metrics as the starting point.
This document discusses intellectual property translations and global patent and trademark filings. It summarizes that intellectual property is important but foreign filings can be difficult due to different requirements in different countries. Using multiple law firms also increases costs. The document then introduces Amplexor's services that provide a centralized filing process with a single point of contact to reduce costs and administrative burden, as well as quality oversight and significant cost savings compared to using multiple law firms.
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How much time do you spend mashing up web analytics data vs. looking for data insights? Your Analytics Site automates the data extraction form multiple marketing channels, including WebTrends, Google Analytics, Twitter, YouTube, Slideshare and Flickr with more be added. Each dashboard is customized to satisfy each clients specific business needs. What you get, one cohesive, actionable and visually interactive reporting mechanism for your all your analytics.
The anlaytics industry is in the biggest state of flux at this time with Adobe SiteCatalyst 15, Google Beta and WebTrends 10 hitting the market. Analytics, as a field, is changing faster than ever and the need of integrating analytics with more and more channels is increasing. The PPT covers some aspects of the tools and technologies available for advance analytics reporting and insights.
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n this session, Karen Buchanan and Bob Zebian of IBM will describe how Web analytics play an increasing role in improving documentation quality, and how documentation teams can expand their value across the enterprise by sharing this information with other teams such as Quality Assurance, Development, Product Management, and Executive Management.
The document provides an overview of web analytics solutions from Unica and eGlobal NZ. It discusses NetTracker and NetInsight tools for analyzing website usage data. Key features highlighted include intuitive dashboards, pre-built KPIs, integration with other data sources, and flexible data collection methods like log files and page tagging. Customers can use the tools to better understand visitor behavior and optimize their websites.
How to use Adobe Analytics features for data analysis & personalization.pdfTech Modena
How to use Adobe Analytics features for data analysis & personalization
With Adobe Analytics features, businesses can conduct thorough data analysis, uncovering valuable insights that enable effective personalization strategies for delivering tailored and engaging experiences to their audience.
Organizations gather a lot of data to understand customers, improve products, and enhance experiences. But analyzing this data for useful insights can be a challenge. That’s where Adobe Analytics comes in.
Adobe Analytics, part of Adobe Experience Cloud, helps businesses make sense of data from various digital channels. It provides real-time insights, enabling effective marketing campaigns and better customer experiences. Integrated with other Adobe platforms, it enhances audience targeting and marketing activities.
Amidst the noise of data, our experts discuss how Adobe Analytics tackles challenges, making data-driven decisions easier and personalizing experiences for every user.
What is Adobe Analytics?
Adobe Analytics, once known as Omniture SiteCatalyst, is a top-notch tool for analyzing data across various channels. It’s a key component of the Adobe Marketing Cloud, offering plugins for assessing campaign performance not just on websites but also on mobile apps and video platforms.
Adobe Analytics empowers marketers by offering valuable insights to make informed decisions. By leveraging this data, marketers aim to increase revenues, boost conversions, and reduce advertising costs. Success with Adobe Analytics, like any data analytics platform, relies on accurately interpreting marketing metrics derived from available data.
Types of Data Captured by Adobe Analytics
Adobe Analytics gathers data from websites, mobile apps, and other sources to create reports. They call this data metrics or key performance indicators (KPIs), showing quantitative info about your website’s performance. The main tracked metric categories are:
Traffic metrics: Details about your visitors, revealing public attention through marketing, PR, and services.
Conversion metrics: Info on user actions to measure website engagement.
Calculated metrics: Custom metrics you create by combining existing ones.
Video metrics: Stats like total views, time spent, and completion rates.
Social metrics: Data to track your brand’s presence on social media.
To protect privacy, Adobe only collects non-personally identifiable information (PII), like a visitor’s zip code, avoiding sensitive data to ensure individual identity remains safe.
Benefits of Adobe Analytics
Quick Web Insights: Adobe Analytics helps you get speedy results by collecting web data in real-time. It’s like having a super-fast tool to understand what’s happening on your website.
Smart Marketing Know-How: We’re not just about analytics; we cover all the new digital stuff. With Adobe Analytics, you can see everything about your customers in one go, getting smart insights in no time.
Better Choices with Attribution: Figure out what’s
This document discusses how web analytics can be applied beyond marketing to performance management and capacity planning. It describes how performance analysts and capacity planners can use web analytics data to diagnose performance issues, develop benchmarks and forecasts, and set alerts for anomalies. While web analytics can impact performance, it provides insights that complement traditional monitoring tools when problems are difficult to isolate or workloads need to accurately represent user behavior.
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDYIRJET Journal
This document discusses research challenges in web analytics. It begins with an introduction to web analytics and its uses and features such as improving user experience, enhancing e-commerce, and tracking marketing campaigns. Some common web analytics tools are then described such as Google Analytics, Excel, and Tableau. The web analytics process involves defining goals, collecting and analyzing data, reporting results, developing online strategies, and testing improvements. Key research challenges discussed include data privacy issues, evaluating e-commerce sites using tools like Google Analytics, and using analytics to improve access to archival resources online.
Google Analytics 101 provides an overview of web analytics and how to use Google Analytics. It discusses the difference between web metrics and web analytics, how Google Analytics works and its key features. It also covers setting up an account, activating tracking, and navigating the reporting interface to analyze metrics and optimize a website. The webinar demonstrates how to implement tracking code and shows examples of reports.
This document provides an introduction to web analytics. It defines web analytics as the measurement, collection, analysis and reporting of internet data to understand and optimize web usage. The main goals of web analytics are to measure traffic, understand user behavior on websites, and optimize websites. It discusses different categories of web analytics including on-site and off-site analytics. Common web analytics tools like Google Analytics use page tagging to collect data as users interact with websites. Key metrics that web analytics measures are discussed like visits, time on site, bounce rate, and conversion rate. The document also covers common web analytics products, how data is collected and stored, and factors to consider when selecting a web analytics tool.
Society is a consulting firm with 250 employees across 13 states that provides analytics, technology, and operations services. It helps clients compete on customer experience and delivers services including digital analytics, data platforms, data science, and flexible engagements. Society works with major brands in tech, media, retail, and other industries.
This document provides an overview of web analytics and Google Analytics. It defines web analytics, discusses ways to analyze data both traditionally and through the web analytics paradigm. It also covers setting up goals and funnels in Google Analytics, using segments, alerts and enhanced ecommerce tracking. A key section discusses attribution modeling and how to set up a custom attribution model based on an understanding of your business and customer journey.
The document provides an overview of tools for social media marketing and web analytics. It discusses Buffer, HootSuite, Canva, Trello and Hotjar as tools for social media marketing and communication. It also discusses Google Analytics, audience analytics, acquisition analytics, behaviour analytics and conversion analytics as tools for web analytics. The purpose of web analytics is to understand and improve the online user experience and optimize digital marketing campaigns. Data is collected using these various analytics tools and analyzed to gain insights.
This document provides an introduction to web analytics. It begins with explaining why web analytics is needed by discussing how offline marketing lacks accountability and measurability. It then defines web analytics as the measurement, collection, analysis and reporting of internet data to understand and optimize web usage. The document outlines different types of web analytics including on-site and off-site. It also discusses the history and context of web analytics within decision support systems and business intelligence. Finally, it covers the main website data collection methods of server log file analysis and page tagging.
This document provides an introduction to web analytics. It discusses why web analytics is needed to measure the success of digital marketing efforts. Web analytics involves measuring, collecting, analyzing and reporting internet data to understand and optimize web usage. There are two main methods for collecting web analytics data: server log file analysis and page tagging. Server log files record information from a website's server, while page tagging involves including tracking code on website pages that collects user interaction data. The document outlines the advantages and considerations of each data collection method.
The document discusses collecting data on a mobile app over two time periods to analyze the impact of new features on key metrics like new users, sessions, and session duration. Data was collected using Google Analytics on dimensions like user type, sessions, and devices. The hypothesis is that the app would see a sudden influx of new users and increased usage with the addition of a new useful feature. Statistics were analyzed and visualized to evaluate if the hypotheses were true and identify reasons for the outcomes. A non-visualized data set with metrics for app versions over the periods is also presented.
Web Analytics is a technique that you can employ to collect, measure, report, and analyze your website data.
One of the widely used Web Analytics is Google Analytics.
Google Analytics takes minutes to learn but years to master.
Objectives of today’s study to get started with Google Analytics:
> Creating a Google Analytics Account
> Placing Google Analytics on one’s Website
> Obtaining Clean Data on one’s Website
> Setting goals for one’s Website
> Analyzing Content Performance
> Tracking SEO Results in Google Analytics
> Tracking Social Media Activity on one’s Website
> Creating Custom Dashboard for the Business
> What else can you do with Google Analytics?
This document discusses web analytics and how it can be used to improve websites and customer experience. It presents a web analytics process consisting of defining goals and key performance indicators (KPIs), collecting data, analyzing the data, and taking action. The process aims to understand customer behavior and improve website performance and profitability. It describes common data collection methods like web logs, JavaScript tagging, web beacons, and packet sniffing. It emphasizes defining relevant and timely KPIs aligned with business goals and analyzing basic metrics as the starting point.
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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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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.
By Design, not by Accident - Agile Venture Bolzano 2024
Making Web Analytics actionable with Web Content Management
1. Making Web Analytics actionable
with Web Content Management
30/08/2012 – Damien Dewitte
2. Making Web Analytics actionable
with Web Content Management
Introduction and market overview
Damien Dewitte
Lead ECM consultant
2.
3. Contents
- Introduction
- The EU Privacy Law
- Analytics Implementation & WCM
- Social Media & Analytics
- Market Overview
3.
4. “If you can not measure it,
you cannot improve it.”
(Lord Kelvin)
Go, wondrous creature! mount where Science guides;
Go measure earth, weigh air, and state the tides;
Instruct the planets in what orbs to run,
Correct old Time, and regulate the sun
4.
5. Why Web Analytics?
Web Analytics is a thermometer for your website, constantly
monitoring your online health.
Web Analytics allow you to study the online experience in
order to improve it.
It’s about “Measuring Success”
5.
6. Monitoring what?
Optimization of content production efforts
Does my content really matter to my visitors?
SEO effectiveness
How do my Search Engine Optimization
efforts perform?
Patterns for conversion
Where do I get the most (un)succesfull
conversions and what can I learn form it?
Errors on my website
Good idea to check for:
404 errors (Page not found)
Forms abandonned
Internal Site search performance
6.
8. Metrics
The usual suspects
Visitor Visit Pageview
Average Time on Page, Bounce rate, Exits
…
Some metrics are calculated metrics: e.g. Pageviews/Visit
8.
9. Key Performance Indicators
KPI’s allow to establish the link between the metrics and the
Business Goals.
KPI’s are figures (relevant ratio’s, percentages, averages or
rates)
9.
10. KPI Examples
Reach: click-through-rate (per traffic source), % new visitors,
cost per acquisition
Engage: bounce rate for landing pages, page depth,
average time on site, usage of apps, social media
engagement
Activate: global conversion rate, conversion rate per goal,
goal value per visit, cost per lead
Nurture: loyalty (returning visitors), conversion rate of
returning visitors
10.
12. “Categories” of KPI’s
Adobe Google
Visitor Acquisition
Visitor Identification
& Segmentation
Visitor Activity &
Content consumption
Visitor Retention &
Growth
“REAN” model
12.
13. Conversion
In E-commerce sites, conversion is obvious. Each shopping
cart check-out has an associated value in €. Therefore it’s
easy to calculate the ROI of your website, SEO and analytics
efforts.
But non-transactional sites also have conversion events
(which could be given a value, but it’s more difficult to
express the exact value in €.)
Filling in a contact form
Downloading a document
Signing up for an event
Registering for a newsletter
Submitting a question to a helpdesk
…
The E-Tailing Group Survey april 2011: Average conversion
rate for US Merchant websites is 1-3%
13.
15. EU Privacy Law
European Union ePrivacy Law, May 26, 2011.
Implying that setting website cookies without a visitors
consent would be illegal.
Interpretation:
Cookies should be completely anonymous (not containing Personally
Identifiable Information or reference to personal information)
Cookies should be “first party” cookies (set by your own website
domain)
Google Analytics and Adobe SiteCatalyst are “OK” (and have
published their own disclaimers) , but still … they require
attention from site-owners and legal advisors.
15.
16. EU Privacy Law
Google Analytics terms of Service
(http://www.google.com/analytics/tos.html)
You will not (and will not allow any third party to) use the Service to
track, collect or upload any data that personally identifies an
individual (such as a name, email address or billing information), or
other data which can be reasonably linked to such information by
Google. .... You must post a Privacy Policy and that Privacy Policy
must provide notice of Your use of cookies that are used to
collect traffic data, and You must not circumvent any privacy
features (e.g., an opt-out) that are part of the Service.
Adobe (http://blogs.adobe.com/digitalmarketing/executive-
insights/european-union-eprivacy-directive-update/)
… To address this and related data protection concerns, Adobe’s Web
analytics solution, SiteCatalyst, obfuscates IP addresses by default
before storage and provides an opt-out mechanism customers can
offer their website visitors should such visitors elect not to be tracked.
16.
17. EU Privacy Law
First Step Advice:
Make an inventory of cookies used on your site
Refer to the inventory from within your Privacy Policy pages
Explain how visitors can disable or delete cookies, or even how they
can opt-out for specific cookies set by your website.
UK Example: BBC.co.uk
17.
24. Which trackings requires extra
attention or implementation effort?
Multiple domains/Multiple languages
File downloads
Outbound links
In-Page events (event-tracking)
Flash animations
Interaction with Embedded Videos
Defining goals
Tracking E-commerce transactions
Groupings of keywords, dimensions
Custom segments
Tracking error pages
Tracking internal site-search usage
24.
25. Social Media
Is a Twitter follower considered more
important than an email these days?
25.
26. Social Media
Social Media are powerful referrers to your website, and
therefore deserve specific dimensions and reports in
Analytics.
Unfortunately, analytics can not evaluate all the efforts you
put in Social Media Marketing. Because engagement in
social media communities very rarely leads to a person
clicking on your link and then purchasing your product or
service.
26.
27. Social Media Monitoring Solutions
Adobe SocialAnalytics
Radian6
Lithium
…
And also:
URL shorteners (like bit.ly, tinyurl.com, goo.gl…) also do
tracking
Services as Hootsuite allow to post on several Social Media
platforms simultaneously and offers tracking
27.
29. Measurement Methods
Logfile Analysis (Server-side data collection)
Page Tagging (Client-side data collection)
29.
30. Measurement Methods
Logfile analysis approach is fading out at most Web
Analytics vendors.
Page tagging allows for:
More accurate measurement of unique visitors
In-page Event-tracking
…
SaaS offerings, which remove maintenance costs from IT-departments
Logfile analysis though, can still be suitable if:
Website pages can not be modified
Website is part of an Intranet without access to the Internet
Data retention over a long period is important
Company needs to hand over raw data for auditing
Data needs to be re-processed into reports frequently
Company needs to track bandwidth or completed downloads
30.
31. Market Overview
Forrester Wave on Web Analytics, november 2011
Leaders:
Adobe (SiteCatalyst)
IBM (Unica +
CoreMetrics)
Webtrends
comScore (NedStat)
31.
33. Analytics Tools Landscape
The analytics landscape is populated with a broad spectrum
of tools which fulfill specific (extra) needs:
A/B Testing, Website Optimizers
SEO-specific monitoring tools
Email campaign tracking
Advertising
Focus on e-commerce
Add-ons for Microsoft Sharepoint
Focus on Video
Social Media Monitoring
Some of these tools are part of the broader Suites of the
bigger players. Other are offered by niche players.
33.
34. Google Analytics
2 Analytics Products
Google Analytics (Free, max 10M Pageviews/month, 25 months data
retention)
(NEW) Google Analytics Premium (150K$/year, max 1.000M
Pageviews/month, 36 months data retention, Support & SLA)
Urchin Software (On-premise, 10k$ per installation)
Market Leader in terms of number of installations
Integrated with Google webmaster tools, Adsense, Adwords
Very often the “default” integration in common WCM
Systems
34.
36. Adobe SiteCatalyst
Part of the Adobe Digital Marketing Suite, with:
CQ5 (WCM)
Test & Target (A/B Testing)
SocialAnalytics
Genesis (Mail)
…
“Adobe continues to maintain the largest enterprise web analytics
footprint of any vendor… expansions into social media, audience
measurement, and data management show a deep commitment to
providing a comprehensive suite of products to support the analytics
and execution of digital marketing.”
The Forrester Wave™: Web Analytics, Q4 2011
36.
38. “Why buy Adobe SiteCatalyst if
Google Analytics is for free?”
(Without trying to compare each feature in detail)
Data retention is not limited (Google: 25 months)
No limit on pageviews per month (Google: 10M)
Possibility to import data from external applications into
SiteCatalyst (Google: import is not supported, export only)
SLA (uptime and performance) and Support (Google: no
SLA, support through forums)
Some more flexibility: e.g. On demand, Adobe can apply a
rule or logic to your SiteCatalyst data after it is collected, but
before it is stored in the data tables.
38.