Business Intelligence with Google Universal Analytics
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Examining new features available in Google Universal Analytics, how they can be used to track customer behavior, and comparison to KISS metrics.
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This document provides information on ways to access the government-wide data catalog as of February 2016, including the standard CKAN API, CSW endpoint, and data.json schema. It also notes that the first slide in a deck on open data discoverability is not yet available due to size constraints.
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The document is an introduction letter from a firm that produces synthetic surfaces, interior decor products, safety and security products, and general supplies. They mention being authorized converters of 3M safety and security products and importers of chemicals for synthetic surfaces. They highlight 12 years in business serving leading institutions and a focus on quality and economy in serving clients.
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Rain water contains various particles that can react with photophytinis and affect global warming. Studying these particles in rain water could help develop ways to prevent global warming. Tests around the world are needed to identify and understand the particles found in rain water.
Question 2
The document discusses how a media product represents various social groups. It summarizes that the magazine represents:
- New affluent workers aged 13-19 through a friendly tone and informal, conversational style to appeal to its young demographic.
- Females, who make up 80% of the target audience, through its pink/purple color scheme and featuring female artists.
- Those interested in pop music and culture as a hobby through articles on music, fashion, and advice rather than focusing solely on music.
- Young adults with a carefree lifestyle through informal, chatty articles mirroring this type of relaxed approach.
Pravin Parath CV - V2016
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Etwinning ingles
This document profiles famous mountain bikers including Jared Graves from Australia who has won four world medals, Richie Rude who won the Junior World Championship in 2013 and 2015, and French cyclist Fabien Barel who has won three downhill world championships. It also lists some famous Canary Islands cyclists and recommends the Canyon Strive, Cube Stereo, YT Industries Capra, Santa Cruz Nomad, Specialized Enduro, and Intense Tracer as some of the best mountain bikes for the sport.
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Open Data Discoverability
This document provides information on ways to access the government-wide data catalog as of February 2016, including the standard CKAN API, CSW endpoint, and data.json schema. It also notes that the first slide in a deck on open data discoverability is not yet available due to size constraints.
Profile
The document is an introduction letter from a firm that produces synthetic surfaces, interior decor products, safety and security products, and general supplies. They mention being authorized converters of 3M safety and security products and importers of chemicals for synthetic surfaces. They highlight 12 years in business serving leading institutions and a focus on quality and economy in serving clients.
Connections to Chicago Project
Logan Square is a neighborhood in Chicago that was originally settled in the 1830s by English and Scandinavian immigrants. It grew along the Northwest Plank Toll Road in the 1840s and was annexed into Chicago in 1889. Today, Logan Square has a median household income 19% higher than Chicago and median housing value 53% higher. The population is 65.1% Hispanic and 48.4% Caucasian, with a median age of 31.4 years old. Notable attractions include the Illinois Centennial Monument in the center of the neighborhood and various restaurants, theaters, and events like the annual Taste of Logan Square festival.
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Este documento presenta un proyecto de 40x40 en el área de deportes en el Colegio Gustavo Restrepo I.E.D. El proyecto busca fomentar actividades deportivas durante el tiempo libre de los estudiantes para mejorar su educación integral y académica. El proyecto se enfoca en modalidades como el fútbol y será dirigido por los docentes William Rene y Fernando Quiceno.
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Rain water contains various particles that can react with photophytinis and affect global warming. Studying these particles in rain water could help develop ways to prevent global warming. Tests around the world are needed to identify and understand the particles found in rain water.
Question 2
The document discusses how a media product represents various social groups. It summarizes that the magazine represents:
- New affluent workers aged 13-19 through a friendly tone and informal, conversational style to appeal to its young demographic.
- Females, who make up 80% of the target audience, through its pink/purple color scheme and featuring female artists.
- Those interested in pop music and culture as a hobby through articles on music, fashion, and advice rather than focusing solely on music.
- Young adults with a carefree lifestyle through informal, chatty articles mirroring this type of relaxed approach.
Pravin Parath CV - V2016
Pravin Parath has over 15 years of experience in sales, procurement, and office administration. He currently works as a buyer handling procurement, internal sales, and office support at Electrosonic SA. Pravin has strong communication, analytical, and problem-solving skills. He is self-motivated, hard-working, and able to work individually or as part of a team.
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This document profiles famous mountain bikers including Jared Graves from Australia who has won four world medals, Richie Rude who won the Junior World Championship in 2013 and 2015, and French cyclist Fabien Barel who has won three downhill world championships. It also lists some famous Canary Islands cyclists and recommends the Canyon Strive, Cube Stereo, YT Industries Capra, Santa Cruz Nomad, Specialized Enduro, and Intense Tracer as some of the best mountain bikes for the sport.
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Model SW-300 is special for Ultrasonic label cutting and folding .Since It apply high class
belt ,make no noise ,low failure and reach high perfection.It installed with high power ultrasonic ,the edge
of finished product can still remain its perfection even under high speed production. Meanwhile , for
printed label,it installed highly performance color separated electronic eye which also would able to
eliminate the static electricity. Considering customers' requirement ,it was designed easily to adjust and
operate.
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Speaker: David Portnoy, Former Entrepreneur-in-Residence, U.S. Department of Health and Human Services (HHS)
Abstract: Discussed at the White House Open Data Roundtable on data quality (and a subsequent government-wide Data Cabinet meeting), the Demand-Driven Open Data (DDOD) program was demonstrated to be an effective approach to improving data quality. DDOD is best described as “Lean Startup for open data”. It’s a framework for implementing open data initiatives in a more systematic and practical way, delivering improvements in data assets and creation of shared technical capabilities. We’ll also cover how a Lean Startup approach to data management is applicable to industry as well.
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More information:
* DDOD http://ddod.healthdata.gov
* Open Data Roundtables https://www.data.gov/meta/open-data-roundtables/
* White House Office of Science and Technology Policy: https://www.whitehouse.gov/blog/2016/02/05/open-data-empowering-americans-make-data-driven-decisions
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DDOD website: http://ddod.us
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This document is intended for use by data owners within government to learn how Demand-Driven Open Data (DDOD) could benefit their organizations.
DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHS’s agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value.
DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled.
DDOD website: http://ddod.us
Intro to Demand Driven Open Data for Data Users
This document is intended for any commercial or academic organization to learn how Demand-Driven Open Data (DDOD) could benefit them.
DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHS’s agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value.
DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled.
DDOD website: http://ddod.us
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1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
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We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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of finished product can still remain its perfection even under high speed production. Meanwhile , for
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operate.
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This document discusses the fiduciary obligations between artists and art galleries. It notes that galleries act as agents for artists when works are consigned, creating a principal-agent relationship that imposes fiduciary duties on the gallery. These duties include acting loyally and solely in the artist's interests, avoiding conflicts of interest, disclosing relevant information, and properly accounting for any sales. The relationship is meant to protect vulnerable artists and ensure the integrity of the important social and commercial relationship between artist and gallery.
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Applying the Lean Startup approach to data management
Speaker: David Portnoy, Former Entrepreneur-in-Residence, U.S. Department of Health and Human Services (HHS)
Abstract: Discussed at the White House Open Data Roundtable on data quality (and a subsequent government-wide Data Cabinet meeting), the Demand-Driven Open Data (DDOD) program was demonstrated to be an effective approach to improving data quality. DDOD is best described as “Lean Startup for open data”. It’s a framework for implementing open data initiatives in a more systematic and practical way, delivering improvements in data assets and creation of shared technical capabilities. We’ll also cover how a Lean Startup approach to data management is applicable to industry as well.
This infographic demonstrates the accomplishments of the DDOD program within the pilot for the U.S. Department of Health and Human Services (HHS).
Impact of DDOD on Data Quality - White House 2016
"The Impact of Demand-Driven Open Data (DDOD) on Data Quality" was presented on April 27, 2016 at Open Data Roundtable held at the White House Office of Science and Technology Policy.
It discusses the data quality problems prevalent in open data and their impact, the origins of the DDOD concept, how it works, progress towards its goals, several use case examples, and how to implement it at other organizations.
More information:
* DDOD http://ddod.healthdata.gov
* Open Data Roundtables https://www.data.gov/meta/open-data-roundtables/
* White House Office of Science and Technology Policy: https://www.whitehouse.gov/blog/2016/02/05/open-data-empowering-americans-make-data-driven-decisions
Industry Uses of HHS Data
There are a growing number of examples demonstrating compelling and creative uses of data provided by U.S. Department of Health and Human Services (HHS) agencies.
HHS provides a wealth of open data sources and APIs. Industry, researchers and media have been able to put these data assets to good use, creating significant economic value, informing the public and improving public health.
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This document explores the concepts behind how DDOD (Demand-Driven Open Data) can be used in conjunction with FOIA (Freedom of Information Act) requests. It describes how DDOD and FOIA can leverage each other's strengths to help overcome their inherent challenges.
DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHS’s agencies (CMS, FDA, NIH, CDC, NCHS, AHRQ and others) to create additional economic and public health value.
DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. It's the Lean Startup approach to open data. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled.
DDOD website: http://ddod.us
Intro to Demand-Driven Open Data for Data Owners
This document is intended for use by data owners within government to learn how Demand-Driven Open Data (DDOD) could benefit their organizations.
DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHS’s agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value.
DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled.
DDOD website: http://ddod.us
Intro to Demand Driven Open Data for Data Users
This document is intended for any commercial or academic organization to learn how Demand-Driven Open Data (DDOD) could benefit them.
DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHS’s agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value.
DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled.
DDOD website: http://ddod.us
Case Study in Linked Data and Semantic Web: Human Genome
The National Human Genome Research Institute's "GWAS Catalog" (Genome-Wide Association Studies) project is a successful implementation of Linked Data (http://linkeddata.org/) and Semantic Web (http://www.w3.org/standards/semanticweb/) concepts. This deck discusses how this project has been implemented, challenges faced and possible paths for the future.
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This document discusses implementing Agile methodology for business intelligence (BI) projects. It begins by addressing common misconceptions about Agile BI, noting that it does not require specific tools or methodologies and can be applied using existing technologies. The document then examines extract, transform, load (ETL) tools and how some may not be well-suited for Agile due to issues like proprietary coding and lack of integration with version control and continuous integration practices. However, ETL tools can still be used when appropriate. The document provides recommendations for setting up an Agile BI environment, including using ETL tools judiciously and mitigating issues through practices like sandboxed development environments and test data sets to enable test-driven development.
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2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
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What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
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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
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Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Artificial Intelligence for XMLDevelopment
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.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
OpenID AuthZEN Interop Read Out - Authorization
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Programming Foundation Models with DSPy - Meetup Slides
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.
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Business Intelligence with Google Universal Analytics
- 1. Business Intelligence with Google Universal Analytics - David Portnoy Datalytx, Inc. 312.970.9740 http://LinkedIn.com/in/DavidPortnoy - - - © Copyright 2013 David Portnoy and Datalytx, Inc. - - -
- 2. Google analytics has been evolving... ...to be even more compelling for BI applications, including campaign and product optimization Before New since 2013 (Traditional GA) (“Universal Analytics”) Model for tracking data Session oriented User oriented (Can tie even anonymous user activity together and to CRM) How it works Relies on cookies Moves tracking to serverside Non-web traffic Must simulate (aka, “fake it”) by requesting a page that’s not displayed Use Measurement Protocol
- 3. For website tracking New features geared specifically to website tracking
- 4. Custom Dimensions vs. Variables Before there were custom dimensions, GA made it possible to augment insights from page hits and events with using Custom Variables. UA enhances this capability greatly using Custom Dimensions. There are a few key differences: Custom Variables Custom Dimensions Both make it possible to apply user defined values to each hit within the specified scope (visitor, session, page) Managed client-side Managed server-side • Less data is sent with each hit • Only index & value sent at collection time Name & scope must be edited within code More flexible: Name & scope can be edited in web property settings without modifying code Each web property (collection of pages) has only 5 custom variable “slots” Each web property has 20 custom dimension indices available
- 5. What does this mean for KISSmetrics? UA is encroaching on the turf of a well-known player in web analytics: KISSmetrics. On one hand, UA has new features historically strengths of KISSmetrics Server-side tracking Universal collection But KISSmetrics isn’t dead yet, still claiming advantages in several capabilities Update historical data (specifying date), not just new incoming No limit for first-touch attribution (UA tracks up to 60 days before purchase Track multiple purchases to get metrics like Lifetime Value, Monthly Recurring Revenue, Churn Add any data using a MySQL database or CSV file When people become a customer, historical & anonymous data gets connected to their customer profile retroactively
- 6. On Anonymous IDs Not intended to store PII (Personally Identifiable) data in GA accounts Anonymous IDs must be linked with internal company systems, such as CRM