Next Generation Measurement with Google Analytics - Dara Fitzgerald, Fresh EggFresh Egg UK
At the 2012 summit, GA announced some of the biggest feature releases in its history. These features will help to shift the analysis view from session-centric to user-centric, allowing the ever growing number of companies using GA to optimise for people, rather than sessions.
At BrightonSEO 2013, Dara presents an outline and provides use cases for new features such as custom dimensions and metrics, customer lifetime value and universal analytics.
Ultimate guide to google analytics metricsReportGarden
Google Analytics is a powerful tools but without the right metric in place, this is not helpful. We identified 3 metrics that can help you measure your brand's success
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.
Next Generation Measurement with Google Analytics - Dara Fitzgerald, Fresh EggFresh Egg UK
At the 2012 summit, GA announced some of the biggest feature releases in its history. These features will help to shift the analysis view from session-centric to user-centric, allowing the ever growing number of companies using GA to optimise for people, rather than sessions.
At BrightonSEO 2013, Dara presents an outline and provides use cases for new features such as custom dimensions and metrics, customer lifetime value and universal analytics.
Ultimate guide to google analytics metricsReportGarden
Google Analytics is a powerful tools but without the right metric in place, this is not helpful. We identified 3 metrics that can help you measure your brand's success
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.
10 recession-beating digital marketing tactics for business growthSmart Insights
Marketing agility and smarter use of digital marketing are more important than ever to future success because of the changes in consumer and business demand for services prompted by the COVID-19 pandemic and ensuing recession.
Join Dr Dave Chaffey in our free members' webinar to learn techniques to improve lead generation and sales. Dave will cover:
- Examples of practical ideas to improve digital interactions with consumers through the customer journey
- Recommendations on how to plan and prioritize these ideas
- A data-driven approach to identify and test new opportunities
How to Use Data for Product Decisions by YouTube Product ManagerProduct School
With millions of new data points every moment, how are Product Managers expected to make sense of it all? This talk outlined the steps required to distill and synthesize data to drive actionable product decisions. The most effective Product Managers are those who know their data: they can justify product priority and roadmap changes, calibrate resource asks and manage their own time more effectively. This lecture equipped the audience with the tools necessary to draw insight from unstructured data using Google’s cloud analytics suite.
Measuring and Improving CX as a PM by fmr Twilio Staff PMProduct School
As a Product Manager, you benefit from mixing anecdotes and data to have an understanding of customer needs.
- You can track the success metrics of your product launch better by defining output metrics vs intermediary signals of progress.
- Sometimes you need to drive stakeholder alignment and internal process changes to improve customer experience
- You can build your own checklist for product launch and for communicating with customers to ensure you have your metrics ready, your communication is well received, and you are driving the desired customer behavior.
Getting Actionable Insights with Google Analytics - Webinar ReapDigital
Learn how Customizing google analytics setup to meet your business needs can help you optimize marketing campaigns, get insights to improve user experience, understand the customer journey and to get actionable business insights.
Take a closer look at real life examples of business that has won their domain with analytics insights.
Slideware from the Mar 26 Toronto Pardot User Group
Featured Speakers & Topics Include:
A/B testing emails in Pardot
Jon Kane, Content Marketing Specialist, Medgate
Integrating sales and marketing with Pardot
Michael Petrelli, Customer Marketing Manager, Magnet Forensics
3 tips for getting the most out of Pardot reporting
Pamela Whitham, Programs Director, Brainrider
How to Use Data to Drive Product Decisions by PayPal PMProduct School
Product Managers spend a lot of time thinking about our product metrics, determining which KPIs best describe our progress and what measures we can take to accelerate our success. As a new Product Manager, parsing through the ocean of data can be overwhelming and using this data to make product decisions can be a challenging task.
Deb talked about how you can incorporate data through out your product life cycle to drive product decisions, feature prioritization and long term roadmap strategy. She walked through simple use cases where data has helped Product Managers break down complex problems and arrive at simple product decisions that directly impacted their KPIs. The industry is increasingly hiring data driven Product Managers.
Using Google Analytics for Business Growth - Webinar ReapDigital
Learn how to go beyond the default setup of Google Analytics and adopt a holistic approach to Google Analytics by measuring your business KPI’s, online and offline customer journey and, using analytics to discover actionable insights.
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
10 recession-beating digital marketing tactics for business growthSmart Insights
Marketing agility and smarter use of digital marketing are more important than ever to future success because of the changes in consumer and business demand for services prompted by the COVID-19 pandemic and ensuing recession.
Join Dr Dave Chaffey in our free members' webinar to learn techniques to improve lead generation and sales. Dave will cover:
- Examples of practical ideas to improve digital interactions with consumers through the customer journey
- Recommendations on how to plan and prioritize these ideas
- A data-driven approach to identify and test new opportunities
How to Use Data for Product Decisions by YouTube Product ManagerProduct School
With millions of new data points every moment, how are Product Managers expected to make sense of it all? This talk outlined the steps required to distill and synthesize data to drive actionable product decisions. The most effective Product Managers are those who know their data: they can justify product priority and roadmap changes, calibrate resource asks and manage their own time more effectively. This lecture equipped the audience with the tools necessary to draw insight from unstructured data using Google’s cloud analytics suite.
Measuring and Improving CX as a PM by fmr Twilio Staff PMProduct School
As a Product Manager, you benefit from mixing anecdotes and data to have an understanding of customer needs.
- You can track the success metrics of your product launch better by defining output metrics vs intermediary signals of progress.
- Sometimes you need to drive stakeholder alignment and internal process changes to improve customer experience
- You can build your own checklist for product launch and for communicating with customers to ensure you have your metrics ready, your communication is well received, and you are driving the desired customer behavior.
Getting Actionable Insights with Google Analytics - Webinar ReapDigital
Learn how Customizing google analytics setup to meet your business needs can help you optimize marketing campaigns, get insights to improve user experience, understand the customer journey and to get actionable business insights.
Take a closer look at real life examples of business that has won their domain with analytics insights.
Slideware from the Mar 26 Toronto Pardot User Group
Featured Speakers & Topics Include:
A/B testing emails in Pardot
Jon Kane, Content Marketing Specialist, Medgate
Integrating sales and marketing with Pardot
Michael Petrelli, Customer Marketing Manager, Magnet Forensics
3 tips for getting the most out of Pardot reporting
Pamela Whitham, Programs Director, Brainrider
How to Use Data to Drive Product Decisions by PayPal PMProduct School
Product Managers spend a lot of time thinking about our product metrics, determining which KPIs best describe our progress and what measures we can take to accelerate our success. As a new Product Manager, parsing through the ocean of data can be overwhelming and using this data to make product decisions can be a challenging task.
Deb talked about how you can incorporate data through out your product life cycle to drive product decisions, feature prioritization and long term roadmap strategy. She walked through simple use cases where data has helped Product Managers break down complex problems and arrive at simple product decisions that directly impacted their KPIs. The industry is increasingly hiring data driven Product Managers.
Using Google Analytics for Business Growth - Webinar ReapDigital
Learn how to go beyond the default setup of Google Analytics and adopt a holistic approach to Google Analytics by measuring your business KPI’s, online and offline customer journey and, using analytics to discover actionable insights.
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
"Growth Analytics: Evolution, Community and Tools" with emphasis on Google Analytics (and its API), including examples of how web analysts and data scientists can use this rich source of data for analysis and applications.
Customer analytics meetup in Dublin May '18
https://www.meetup.com/Customer-Analytics-Dublin-Meetup/events/250809233/
Covers key concepts of clickstream analysis and Markov Chains. Followed by 3 practical applications with the R language:
- Frequent path analysis
- Future click prediction
- Transition probabilities mapping
Niche bloggers up to multinational corporations, they are all interested in monitoring their web traffic and its patterns across time.
Google Analytics is the most widely used solution to keep track of this type of data. It provides a UI for a wide range of reports and possibilities for various types of visualizations.
Moreover, the availability of the Analytics API coupled with the corresponding R packages can now give more options for custom web analyses.
The plan for this talk is to cover the following :
• What is web analytics ? How it works ?
• Interfacing with the Analytics Reporting API via an R package (RGA)
• Practical analytics applications with R
• Discussion
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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
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
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).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
5. • How advanced analytics differs from classic
business analysis
• How to define it
• 5 advanced analytics techniques for marketing
• 3 steps to implement advanced analytics
• Q & A
Agenda