Web analytics involves collecting and analyzing digital data about user behavior on websites and mobile apps. It is important for measuring the effectiveness of marketing campaigns and ensuring websites meet their objectives, such as increasing sales for ecommerce sites. Google Analytics is a popular web analytics tool that tracks user data through a JavaScript code added to websites. It provides visualization tools and insights about key metrics like users, sessions, pageviews, bounce rate, and exit rate, broken down by dimensions such as channels, devices, and locations.
To know more about web analytics and internet marketing log on to:
http://www.iexpertsforum.com/smf/index.php
Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage.
To assess the performance and to improve your website , it is imperative that you understand the key performance indicators of your site like the traffic, hits, and many more concepts.
Web analytics help you in having a thorough analysis, of how your site is performing which helps you to optimize your site to suit your needs as well as your customer's and clients.
This is a short introduction to web analytics. It goes over the different types of web analytics, sources from which analytics information can be gathered, why its essential, key analytics metrics and its usage. It also covers different products in this space, its generic architecture and the key parameters which can be used for evaluating different products. It concludes by highlighting some of the limitations of web analytics today.
This presentation covers methods to set up Google Analytics on your website. It also includes basic terminologies / jargons / concepts that are used throughout Google Analytics
Google Analytics 4 is not simply the upgrade to Universal Analytics. It is an entirely new version and redesign of the tool. It is the new generation of Google Analytics that will allow you to collect data from both apps and web.
In this webinar with our Head of Digital Analytics, Benoit Weber, you will discover the tool, understand how to use and navigate the new features and interface, and run through the main differences with Universal Analytics.
To know more about web analytics and internet marketing log on to:
http://www.iexpertsforum.com/smf/index.php
Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage.
To assess the performance and to improve your website , it is imperative that you understand the key performance indicators of your site like the traffic, hits, and many more concepts.
Web analytics help you in having a thorough analysis, of how your site is performing which helps you to optimize your site to suit your needs as well as your customer's and clients.
This is a short introduction to web analytics. It goes over the different types of web analytics, sources from which analytics information can be gathered, why its essential, key analytics metrics and its usage. It also covers different products in this space, its generic architecture and the key parameters which can be used for evaluating different products. It concludes by highlighting some of the limitations of web analytics today.
This presentation covers methods to set up Google Analytics on your website. It also includes basic terminologies / jargons / concepts that are used throughout Google Analytics
Google Analytics 4 is not simply the upgrade to Universal Analytics. It is an entirely new version and redesign of the tool. It is the new generation of Google Analytics that will allow you to collect data from both apps and web.
In this webinar with our Head of Digital Analytics, Benoit Weber, you will discover the tool, understand how to use and navigate the new features and interface, and run through the main differences with Universal Analytics.
Google analytic best website performance checker tool, get complete guide information on website with Google analytics tool for better results and for complete check on information.
A brief introduction to Web Analytics
For a course in Web Analytics - See more at: http://www.jigsawacademy.com/web-analytics-training#sthash.LsGc9ZIT.dpuf.
This course is for professionals interested in assessing online business performances and students interested in e-commerce marketing & sales careers.
I delivered this presentation to MSc Digital Marketing class of "The UCD Michael Smurfit Graduate Business School - University College Dublin" in February 2015.
The presentation covers some basics and fundamental information about Google Analytics.
an overview of data analytics techniques and technologies that is necessary for any digital marketer. for more information about digital marketing please contact: mnabizadeh@aut.ac.ir
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?
The Roles of Analytics in Digital MarketingT.S. Lim
Presentation at the 4th Indonesian Statistical Analysis Conference (ISAC) 2018, held on Thursday, November 8, 2018 at the Parahyangan Catholic University Graduate School.
Topics covered in MyLivPro's Digital Marketing tutorial:
What is Digital Marketing?
Framework of Digital Marketing
Digital Marketing Strategy
Market Research
Content Marketing Strategy
User Experience Design
Web Development and Design
Writing for Digital
Customer Relationship Management
Search Engine Optimization
Search Advertising
Online Advertising
Affiliate Marketing
Video Marketing
Social Media Channels
Social Media Strategy
Email Marketing
Mobile Marketing
Data Analytics
Conversion Optimization
You can also watch our video tutorial on youtube.
https://www.youtube.com/channel/UC3oqg3jYaT0eP6v_JJvudSA
Definition of Search Engine Marketing, Search Engine Results Pages (SERP), Pay-Per-Click (PPC), SEM Platforms, Types of SEM Keywords, SEM Targeting, SEM Account Structure, SEM Ad Auction, Ad Rank, Max CPC Bid, Quality Score, CPC
Google Analytics for Beginners - TrainingRuben Vezzoli
I used this presentation for an internal training about Google Analytics and Web Analytics.
Google Analytics Training for Beginners.
Google Analytics Tutorial
Google Analytics for Dummies
Google Analytics Guide
A basic overview of Google Analytics. The slide talks about how google analytics can help track key information such as visits, unique visitors, pageviews, traffic sources for your website.
It also talks about important features of google analytics such as goals & a brief about account, property & profile views.
Google analytic best website performance checker tool, get complete guide information on website with Google analytics tool for better results and for complete check on information.
A brief introduction to Web Analytics
For a course in Web Analytics - See more at: http://www.jigsawacademy.com/web-analytics-training#sthash.LsGc9ZIT.dpuf.
This course is for professionals interested in assessing online business performances and students interested in e-commerce marketing & sales careers.
I delivered this presentation to MSc Digital Marketing class of "The UCD Michael Smurfit Graduate Business School - University College Dublin" in February 2015.
The presentation covers some basics and fundamental information about Google Analytics.
an overview of data analytics techniques and technologies that is necessary for any digital marketer. for more information about digital marketing please contact: mnabizadeh@aut.ac.ir
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?
The Roles of Analytics in Digital MarketingT.S. Lim
Presentation at the 4th Indonesian Statistical Analysis Conference (ISAC) 2018, held on Thursday, November 8, 2018 at the Parahyangan Catholic University Graduate School.
Topics covered in MyLivPro's Digital Marketing tutorial:
What is Digital Marketing?
Framework of Digital Marketing
Digital Marketing Strategy
Market Research
Content Marketing Strategy
User Experience Design
Web Development and Design
Writing for Digital
Customer Relationship Management
Search Engine Optimization
Search Advertising
Online Advertising
Affiliate Marketing
Video Marketing
Social Media Channels
Social Media Strategy
Email Marketing
Mobile Marketing
Data Analytics
Conversion Optimization
You can also watch our video tutorial on youtube.
https://www.youtube.com/channel/UC3oqg3jYaT0eP6v_JJvudSA
Definition of Search Engine Marketing, Search Engine Results Pages (SERP), Pay-Per-Click (PPC), SEM Platforms, Types of SEM Keywords, SEM Targeting, SEM Account Structure, SEM Ad Auction, Ad Rank, Max CPC Bid, Quality Score, CPC
Google Analytics for Beginners - TrainingRuben Vezzoli
I used this presentation for an internal training about Google Analytics and Web Analytics.
Google Analytics Training for Beginners.
Google Analytics Tutorial
Google Analytics for Dummies
Google Analytics Guide
A basic overview of Google Analytics. The slide talks about how google analytics can help track key information such as visits, unique visitors, pageviews, traffic sources for your website.
It also talks about important features of google analytics such as goals & a brief about account, property & profile views.
Google Analytics (GA) is a Web Analytic tool, that helps a user analyze the traffic to their website site. It is free, requires no installation and easy to setup. This presentation illustrates how to setup an account, understand how GA works, the dashboard, Key Performance Index (KPI), and Balance Score Card (BSC).
Google Analytics & Web Masters Tools - GBG MumbaiGBG Mumbai
Presentation from the Knowledge Series event - 'What gets measured, gets managed' a Workshop on Google Analytics & Webmasters tools. organised by Google Business Groups (GBG) Mumbai on Aug 31st 2013.
Speakers - Sreeraman Thiagarajan, Pareen Lathia and Vibhas Sen.
Visit gbgmumbai.org for more
Google Analytics is the most popular web analytics system. Almost every webpage, whether it’s a private blog or large e-commerce site, uses Google Analytics. This session will cover essential information about Google Analytics and its API guidelines, competitors, and most important, how you can use the data from such offerings together with your ERP, CRM, and other OLTP systems. You will see how to load Google Analytics data using SQL Server Integration Services, for example, and merge that data with your local data. In addition, we will walk through a demonstration of important web analytics KPIs and how you can analyze them using Microsoft Business Intelligence tools
• Getting started with Google Analytics
• Principles of website conversion tracking and understanding what’s driving results
• Getting to grips with the interface
• Conversion and Goal tracking. Get useful data on the things that matter the most to your business
• Acquisition – what drives traffic
• Behaviour – what visitors do on your site
"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/
Content Marketing Retreat: Using Google AnalyticsTim Frick
This presentation addresses how Google’s flagship measurement app can help you glean actionable insights from your website’s content performance. It also covers how to track engagement and conversions using goals and funnels as well as several use cases for why you should customize it to meet specific needs, such as tracking video playback, email campaign performance, and so on.
PUZZLES FOR YOUR INTERVIEW
I had attended an Interview at Fiserv. One can always expect Puzzles in your interview at Fiserv.
These were Few questions that i was asked.
Go ahead! Think logically! Train Brain! :P
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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.
2. What is Web Analytics?
Web analytics encompasses the collection, measurement, analysis, visualization
and interpretation of digital data illustrating user behavior on websites, mobile
sites and mobile applications.
Visit Website/
app
Collect Data Analyze Data Generate Insights
&
Recommendations
3. Why we need Web Analytics?
• Web Analytics goes hand in hand with digital Marketing
• For measuring below:
SEO
Paid Campaigns
Email marketing
Content marketing
• To fulfil websites objective
Ecommerce object (Amazon, Flipkart)
Times of India objective
Make my trip objective
College website objective
4. Web Analytics Tools
Google Analytics is a platform that collects
data and compiles it into useful reports
How to integrate Google Analytics with the Website?
Google Analytics is implemented with Google Analytics Tracking Code (gtag.js), which is a snippet
of Javascript code that the website owner adds to every page of the website. The tracking code runs in
the client browser when the client browses the page and collects visitor data and sends it to a Google
Analytics application.
What is Google Analytics?
6. What Google Analytics Offer?
• Data visualization tools
including a dashboard &
scorecards which display
changes in data over time.
• Segmentation for analysis of
subsets, such as conversions.
• Email-based sharing and
communication.
• Intelligence is a ML
algorithm to quickly get the
insights we want.
• Custom reports.
7. Metrics & Dimensions
• Dimension: Each row of the table
• Metrics : Each column of the table
Metrics:
Users
Sessions
Pageviews
Bounce
Exit
Bounce Rate
Exit Rate
Pages/session
Session Duration
Dimensions:
Channels
Location
Date
Page Titles
Gender
Operating System
Browsers
Device Category
Source/medium
8. Sessions
A session is a group of user interactions with your website that take place
within a given time frame
9. Metrics: Entrance, Pageviews, Bounce & Exit
Page
A
Page
B
Page
C
Page
A
Page
B
Page
A
Page
C
User 1
Session 1
Pages Entrance Pageviews Bounces Exit
Page A 2 3 1 1
Page B 1 2 0 0
Page C 0 2 0 2
Users Sessions Pageviews Bounce
Rate*
Exit
Rate**
User 1
Session 2
User 2
Session 1
*Bounce Rate = Bounces/Entries
**Exit Rate= Exits/Visits
Exit
Exit
Exit
2 3 7 33.33% 100%
10. Dimensions: Channels & Device Category
Channels:
Organic Search
Social
Direct
Referral
Paid Search
Email
Device Category:
Mobile
Desktop
Tablet