As recommended position of the GTM container has changed & this has caused some confusion. Hence, I created these diagrams explain how to optimise your container making experience...
Phil recently completed a 400 man-hours GTM project & shares lessons learned. Migrating from GA Classic to Universal on 6 CMS platforms and 600 GA classic events is one thing, but facing a fine if the project is not complete within 3 months ads a touch of spice! Phil cleaned-up 2 years of in-house changes, including changes such as consolidated 74 pageview tags and centralizing 20 tags into easy to mange lookup table.
Phil provides Technical insights for Advanced Implementers, aswell as Tactical insights for project managers & business people on area such as QA automation, mistakes to avoid, process examples & knowledge sharing tips.
Take-aways:
- QA tool
- Planning tools
- Free GTM developer guide
Plan a Digital Analytics Training Strategy for an Analytics AgencyPhil Pearce
This was the 2nd draft of a plan to develop a "training curriculum" for a Digital Analytics Agency to teach:
- Digital Analytics strategy
- GA & GTM implementation
- Reporting & Analysis best practices
To clients & other agencies with various levels of expertise, who could be project manager, marketers or developers.
Morphing GA into an Affiliate Analytics MonsterPhil Pearce
How to hack GA's native campaign tracking, leverage 1st party cookie power and align GA's sessionisation logic more closely with 30 day affiliate systems.
Analytics & Optimisation for University sitesPhil Pearce
Looking at the growing importance of Analytics, and Pitfalls to avoid, Quick wins, CMS specific issues, Internal issues (skills shortage or lack of inhouse buy-in), responsive web design an importance of Paid search in the awareness process.
This audit was conducted using publicly available data from GoogleNews, Adword KW tool, AHREF.com, MyWOT.com & other web content sources.
It was designed to find any possible “holes in the armour” and thus strength these holes.
You have my permission to use this template to help understand & strength other vendors tool.
Thanks
Phil
Phil recently completed a 400 man-hours GTM project & shares lessons learned. Migrating from GA Classic to Universal on 6 CMS platforms and 600 GA classic events is one thing, but facing a fine if the project is not complete within 3 months ads a touch of spice! Phil cleaned-up 2 years of in-house changes, including changes such as consolidated 74 pageview tags and centralizing 20 tags into easy to mange lookup table.
Phil provides Technical insights for Advanced Implementers, aswell as Tactical insights for project managers & business people on area such as QA automation, mistakes to avoid, process examples & knowledge sharing tips.
Take-aways:
- QA tool
- Planning tools
- Free GTM developer guide
Plan a Digital Analytics Training Strategy for an Analytics AgencyPhil Pearce
This was the 2nd draft of a plan to develop a "training curriculum" for a Digital Analytics Agency to teach:
- Digital Analytics strategy
- GA & GTM implementation
- Reporting & Analysis best practices
To clients & other agencies with various levels of expertise, who could be project manager, marketers or developers.
Morphing GA into an Affiliate Analytics MonsterPhil Pearce
How to hack GA's native campaign tracking, leverage 1st party cookie power and align GA's sessionisation logic more closely with 30 day affiliate systems.
Analytics & Optimisation for University sitesPhil Pearce
Looking at the growing importance of Analytics, and Pitfalls to avoid, Quick wins, CMS specific issues, Internal issues (skills shortage or lack of inhouse buy-in), responsive web design an importance of Paid search in the awareness process.
This audit was conducted using publicly available data from GoogleNews, Adword KW tool, AHREF.com, MyWOT.com & other web content sources.
It was designed to find any possible “holes in the armour” and thus strength these holes.
You have my permission to use this template to help understand & strength other vendors tool.
Thanks
Phil
Digital analytics upskilling & career tipsPhil Pearce
From Bristol Digital Analytics meetup on career.
We covered desirable Digital Analytics skills, Certifications, Training, Mentoring & Industry Salary surveys.
Thanks
Phil.
SEO analytics: How to report & improve performancePhil Pearce
This was slides from the Bath Digital Analytics meetup on how to report & improve SEO performance.
It also has tips for customChannel groupings.
Thanks
Phil.
Examples of overcoming objections and misconceptions about Google Tag Manager. Including overview of the settings for:
1. Security
2. Deployment Costs
3. Marketing Agility
4. Customer understanding
5. Advertiser Spend
Thanks
Phil.
Explaining the Rise of JSON-LD (machine readable JS data). Why its important and how to make sure your website has enabled…
future action buttons.
* Recent changes & examples in the wild
* Live demo of Googles mark-up validator
* GTM config files to take away & enable.
This is the post-project summary of a 3 month SEO & Analytics setup for a publishing client. The outcome was 25% organic growth in 3 months! I explain how this was achieved…
Google Tag Manager Flash Tips @ MeasureCampPhil Pearce
A list of "quick tips" for Google Tag Manager.
Please watch the video that accompanies this session:
https://www.youtube.com/watch?v=QX5eDg-Ti9Y
Thanks
Phil.
Digital analytics upskilling & career tipsPhil Pearce
From Bristol Digital Analytics meetup on career.
We covered desirable Digital Analytics skills, Certifications, Training, Mentoring & Industry Salary surveys.
Thanks
Phil.
SEO analytics: How to report & improve performancePhil Pearce
This was slides from the Bath Digital Analytics meetup on how to report & improve SEO performance.
It also has tips for customChannel groupings.
Thanks
Phil.
Examples of overcoming objections and misconceptions about Google Tag Manager. Including overview of the settings for:
1. Security
2. Deployment Costs
3. Marketing Agility
4. Customer understanding
5. Advertiser Spend
Thanks
Phil.
Explaining the Rise of JSON-LD (machine readable JS data). Why its important and how to make sure your website has enabled…
future action buttons.
* Recent changes & examples in the wild
* Live demo of Googles mark-up validator
* GTM config files to take away & enable.
This is the post-project summary of a 3 month SEO & Analytics setup for a publishing client. The outcome was 25% organic growth in 3 months! I explain how this was achieved…
Google Tag Manager Flash Tips @ MeasureCampPhil Pearce
A list of "quick tips" for Google Tag Manager.
Please watch the video that accompanies this session:
https://www.youtube.com/watch?v=QX5eDg-Ti9Y
Thanks
Phil.
Analytics Tools to improve Customer InsightPhil Pearce
This presentation was on FREE tools to improve customer insight:
1. Yandex metrica - free mouse tracker & form tracker
2. Google Consumer surveys - free qualitative research tool
3. WordStream Grader - free PPC analyser & [n]/10 grade
4. Narrative science quill - free "data as a story report"
5. Sitebeam Nibbler - free 5 page SEO sanity check
6. Adwords tool for getting click refunds - free excel template
7. Google Tag Manager - free auto configs for Wordpress, Magento & Drupal.
8. GoogleSheets GA plugin - using comparison reports examples
9. GA realtime app - free iOS & Android app
10. GA Dashboard library templates - one click to enable
11. BrandWatch for finding ontopic authors (requested by Matt)
Thanks
Phil
Top 10 Google Analytics tips to save you money!Phil Pearce
I will look at 3 areas:
1. Reducing cost
2. Increasing conversions/revenue
3. Automating reducing cost & increasing revenue
Reports I will cover are:
1. Best & worse landing pages
2. Best & worse internal Site Search
3. Pages by revenue contribution
4. Broken pages by referral
5. Marketing Channels pivoted by new users
6. Simple Engagement Scoring using goal values & userId
7. 3d Motion Chart to show Revenue vs Sales vs CPA/ROI
8. Intelligent Alerts – what changed & whats broken
9. Custom Alerts – based on your business logic
10. GoogleSheets Alerts & GA embed API
Prerequisite: You will get most value from this event if you bring a laptop & have a Google Analytics account already.
Please subscribe via meet-up so I have an idea of numbers.
Thanks!
Phil.
07723012727
https://uk.linkedin.com/in/philpearce
https://twitter.com/philpearce
-----------------------------------------------------
Note: I`ll add upload the slides after then event
http://www.slideshare.net/phildpearce/lean-analytics-workshop
Phil.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
5. Page <Head>
Page <Body>
GTM dataLayer1. New Outfit
Same position: new code
but same body
GTM script container
no iframe container
6. 2. New outfit + Boob Job
Same position: new code
with new upper <body>
7. Page <Head>
Page <Body>
GTM dataLayer2. New outfit + Boob Job
Same position: new code
with new upper <body>
GTM script container
GTM iframe container
8. 3. New outfit + New Shoes
Same position: new code
same upper <body> but new footer
9. Page <Head>
Page <Body>
GTM dataLayer3. New outfit + New Shoes
Same position: new code
same upper <body> but new footer
GTM script container
GTM iframe container
11. Page <Head>
Page <Body>
GTM dataLayer
4. The Ex-girlfriend:
New <head> & new <body>
GTM script container
GTM iframe container
12. Page <Head>
Page <Body> GTM dataLayer
5. Crazy Ex-girlfriend:
No head <head> & new <body>
GTM script container
GTM iframe container
13. Page <Head>
Page <Body>
GTM dataLayer
4. The Ex-girlfriend:
New <head> & new <body>
GTM script container
GTM iframe container
14. Page <Head>
Page <Body> GTM dataLayer
5. Crazy Ex-girlfriend:
No head <head> & new <body>
GTM script container
GTM iframe container
15. Page <Head>
Page <Body>
GTM dataLayer
6. Crazy Ex-girlfriend with a
boo-reduction & new shows:
No head <head>
& only new footer
GTM script container
GTM iframe container