Wir zeigen was das neue Reporting Tool von Google alles kann und wie es effektiv eingesetzt wird um aus verschiedenen Datenquellen Insights zu generieren und diese zu visualisieren.
Advanced Google Analytics 4.0 by Aviso DigitalSumeet Mayor
Advanced Google Analytics facilitates Data Collection and processes it into readable reports. Custom Dimensions, Custom Metrics, and Event Tracking help collect data that's specific to your business. It demonstrates more advanced analysis techniques using segmentation, channel reports, audience reports, and custom reports, as well as marketing strategies like remarketing and Dynamic Remarketing that show ads to customers who have visited your website.
• Data Collection and Processing
o Google Analytics data collection
o Categorizing into users and sessions
o Applying configuration settings
o Storing data and generating reports
o Creating a measurement plan
• Setting Up Data Collection and Configuration
o Organize your Analytics account
o Set up advanced filters on views
o Create your own Custom Dimensions
o Create your own Custom Metrics
o Understand user behavior with Event Tracking
o More useful configurations
• Advanced Analysis Tools and Techniques
o Segment data for insight
o Analyze data by channel
o Analyze data by audience
o Analyze data with Custom Reports
• Advanced Marketing Tools
o Remarketing
o Better targeting with Dynamic Remarketing
GAUC 2017 Closing Keynote: David Sneddon (Google)e-dialog GmbH
This document discusses innovation at Google and in the digital marketing industry. It summarizes that Google uses machine learning across many of its products, giving examples like Google Translate, Photos, and Android. It then discusses applying machine learning to Google Analytics to provide automated insights and recommendations. Finally, it briefly touches on emerging technologies like virtual and augmented reality and the increasing role of automation.
GAUC 2017 Workshop Analytics 360 Suite: Ilona van de Bildt (Google)e-dialog GmbH
Mit einem Paukenschlag hat Google 2016 die 360-Suite als integrierte Digital Marketing Suite aus der Taufe gehoben. Erfahren Sie, was die Elemente einzeln können und wie sie zusammenarbeiten.
What are the differences between Google Analytics Products?
- Universal Analytics has been the standard web analytics product since 2014.
- Google is heavily investing in Firebase Analytics for growing mobile app businesses and has been a standard app analytics product since 2018.
- GA4 was launched in Oct. 2021. This is for business owners who provide app as well as web services.
[Webinar] Interacting with BigQuery and Working with Advanced QueriesTatvic Analytics
In this webinar, we will cover advanced concepts and some complex queries. We will give a demo of how to fetch data from BigQuery into tools like Excel, R and python so we can continue further analysis. Along With Hands-on exercise, we will demonstrate how to automate queries using Apps Script and Command Line tool.
Google Analytics Konferenz 2019_Google Marketing Platform - Enterprise_Oleg P...e-dialog GmbH
The GMP as part of enterprise level decision making platform
See how Sixt is using various tools of the GMP stack from basic reporting via Data Studio up to advanced data science with Raw Data to make datadriven decisions and how GTM is a main tool to ensure data consistency.
This document provides 20 tips for using practical analytics and Google Analytics to improve user experience (UX). It recommends setting up Google Analytics to track user behavior, filtering out spam traffic, analyzing user demographics and journeys, setting up goals to measure conversions, benchmarking against competitors, testing hypotheses through segmentation and experiments, and regularly customizing reporting. The overall message is that analytics provides insights to understand users and optimize the user experience.
Advanced Google Analytics 4.0 by Aviso DigitalSumeet Mayor
Advanced Google Analytics facilitates Data Collection and processes it into readable reports. Custom Dimensions, Custom Metrics, and Event Tracking help collect data that's specific to your business. It demonstrates more advanced analysis techniques using segmentation, channel reports, audience reports, and custom reports, as well as marketing strategies like remarketing and Dynamic Remarketing that show ads to customers who have visited your website.
• Data Collection and Processing
o Google Analytics data collection
o Categorizing into users and sessions
o Applying configuration settings
o Storing data and generating reports
o Creating a measurement plan
• Setting Up Data Collection and Configuration
o Organize your Analytics account
o Set up advanced filters on views
o Create your own Custom Dimensions
o Create your own Custom Metrics
o Understand user behavior with Event Tracking
o More useful configurations
• Advanced Analysis Tools and Techniques
o Segment data for insight
o Analyze data by channel
o Analyze data by audience
o Analyze data with Custom Reports
• Advanced Marketing Tools
o Remarketing
o Better targeting with Dynamic Remarketing
GAUC 2017 Closing Keynote: David Sneddon (Google)e-dialog GmbH
This document discusses innovation at Google and in the digital marketing industry. It summarizes that Google uses machine learning across many of its products, giving examples like Google Translate, Photos, and Android. It then discusses applying machine learning to Google Analytics to provide automated insights and recommendations. Finally, it briefly touches on emerging technologies like virtual and augmented reality and the increasing role of automation.
GAUC 2017 Workshop Analytics 360 Suite: Ilona van de Bildt (Google)e-dialog GmbH
Mit einem Paukenschlag hat Google 2016 die 360-Suite als integrierte Digital Marketing Suite aus der Taufe gehoben. Erfahren Sie, was die Elemente einzeln können und wie sie zusammenarbeiten.
What are the differences between Google Analytics Products?
- Universal Analytics has been the standard web analytics product since 2014.
- Google is heavily investing in Firebase Analytics for growing mobile app businesses and has been a standard app analytics product since 2018.
- GA4 was launched in Oct. 2021. This is for business owners who provide app as well as web services.
[Webinar] Interacting with BigQuery and Working with Advanced QueriesTatvic Analytics
In this webinar, we will cover advanced concepts and some complex queries. We will give a demo of how to fetch data from BigQuery into tools like Excel, R and python so we can continue further analysis. Along With Hands-on exercise, we will demonstrate how to automate queries using Apps Script and Command Line tool.
Google Analytics Konferenz 2019_Google Marketing Platform - Enterprise_Oleg P...e-dialog GmbH
The GMP as part of enterprise level decision making platform
See how Sixt is using various tools of the GMP stack from basic reporting via Data Studio up to advanced data science with Raw Data to make datadriven decisions and how GTM is a main tool to ensure data consistency.
This document provides 20 tips for using practical analytics and Google Analytics to improve user experience (UX). It recommends setting up Google Analytics to track user behavior, filtering out spam traffic, analyzing user demographics and journeys, setting up goals to measure conversions, benchmarking against competitors, testing hypotheses through segmentation and experiments, and regularly customizing reporting. The overall message is that analytics provides insights to understand users and optimize the user experience.
Building Data Products with BigQuery for PPC and SEO (SMX 2022)Christopher Gutknecht
In this data management session, Christopher describes how to build robust and reliable data products in BigQuery and dbt, for PPC and SEO use cases. After an introduction to the modern data stack, six principles of reliable data products are presented, followed by the following use cases:
- Google Ads Conversion upload
- SEO sitemap efficiency report
- Google Shopping product rating sync
- Large-Scale link checker with advertools
- Inventory-based PPC campaigns with dbt
Here is the referenced selection of gists on github: https://gist.github.com/ChrisGutknecht
SMX Advanced - When to use Machine Learning for Search CampaignsChristopher Gutknecht
This SMX talk will walk you through how search campaigns can be automated from an inventory and a query perspective and where entry-level machine learning services can improve the automation quality. The accompanying code can be found at: bit.ly/smx_chrisg
The talk was held at SMX Advanded Europe 2019 in Berlin by Christopher Gutknecht from Bergzeit.
Google Analytics 360 is Google's premium analytics suite that includes Attribution 360, Tag Manager 360, Audience Center 360, Optimize 360, Data Studio 360, and additional tools. It provides more advanced features than standard Google Analytics for analyzing digital marketing campaigns, customer journeys, and audience data to gain insights from analytics. Pricing depends on the tools and features needed for an organization.
Cloud Computing Deployments Should Begin With Service Definition - SOA architecture and How Cloud enhances ease of doing business in a scalable and reliable way.
Building a Marketing Data Warehouse from Scratch - SMX Advanced 202Christopher Gutknecht
This deck covers the journey of starting with BigQuery, adding more data sources and building a process around your data warehouse. It covers the three phases greenfield, dashboards and operational analytics and the necessary data components.
The code for uploading your product feed can be found here:
https://gist.github.com/ChrisGutknecht/fde93092e21039299ab76715596eac01
If you have any questions, reach out to me on Linkedin!
Firebase Analytics - Best Practices To Attract, Engage, Convert & Measure You...Tatvic Analytics
This webinar presentation gives you a meticulous understanding of the Firebase Analytics tool starting with a platform walkthrough, set-up and comparative analysis with other app analytics products. You’ll learn how to integrate and report Marketing data from other tools such as DV 360, Google Ads, Admob.
Webinar Recording: https://youtu.be/LdhdR5tGuQw
Presenters: Sarjak & Namrata
Reach out to us: hello@tatvic.com
Questioning data quality and troubleshooting tracking gaps (version2 | Smx Su...Christopher Gutknecht
Checklist LINK: https://docs.google.com/spreadsheets/d/1C7Ojteg-EWazi_xDEwlljwALppHxG3PY8lBuodGSmxY/edit?usp=drive_web&ouid=102383257734620162787
This session gives an updated overview of tracking gaps due to measurement settings, cookie consent and browser issues, also offering an outlook on server-side tagging.
Questioning Data Quality and Troubleshooting Tracking Gaps (SMX Munich 2020)Christopher Gutknecht
This session covers a wide range of causes for observed gaps across different data sources in a web tracking context. The three chapters are measurement settings, browser data loss and cookie consent. The session was held by Christopher Gutknecht at SMX Virtual Edition 2020.
The accompanying checklist can be found here: https://docs.google.com/spreadsheets/d/1C7Ojteg-EWazi_xDEwlljwALppHxG3PY8lBuodGSmxY/edit#gid=1216566297
Data Driven Attribution in BigQuery with Shapley Values and Markov ChainsChristopher Gutknecht
This document provides an overview of data-driven attribution modeling using Shapley values and Markov chains. It discusses defining attribution models in BigQuery, comparing different model outputs, and getting an overview of model decision parameters. The speakers then describe how to implement Shapley values and Markov chain attribution models, including available packages for each. Lastly, it recommends starting simply, testing multiple models and time frames, and gradually expanding the attribution methodology.
What are the differences between Google Analytics Products?
- Universal Analytics has been the standard web analytics product since 2014.
- Google is heavily investing in Firebase Analytics for growing mobile app businesses and has been a standard app analytics product since 2018.
- App + Web was launched as a public beta in Aug. 2019. This is for business owners who provide app as well as web services.
This document provides an overview of how Bergzeit, an online mountain gear retailer, implemented bidding based on gross profit in Google Ads. It discusses:
1. Calculating gross profit in 6 steps, including net order value, margins, return rates, fulfillment costs, and attribution.
2. Uploading the calculated gross profit data into Google Ads using direct conversion import from BigQuery, with "prescaling" to avoid bidding issues.
3. Lessons learned from the project, including the need for various experts, extensive testing, and adjustments for seasonality and other factors.
[Webinar Deck] Google Data Studio for Mastering the Art of Data VisualizationsTatvic Analytics
In this webinar, we will take you through the basics of Google Data Studio and enable you to unlock the true value of data when converted into insights. With Google Data Studio, you can turn your data into informative dashboards and monthly reports that are easy to read, easy to share and fully customizable.
Successful data visualization designs are built by smart teams with varied skill sets using advanced visualization tools. This is not an easy combination to find, but we’ll help you get started.
This document discusses attribution and the customer journey. It summarizes research showing that marketers have different understandings of effective channels and the purpose of channels. It also finds that almost half of marketers do not know if their budgets are balanced. The document discusses how attribution at Google spans solutions from individual channels to predictive optimization across all digital channels and eventual offline attribution. It describes Google's attribution 360 platform and pillars including data collection and management, insights, and third party connectors. The document provides examples of attribution projects for Expedia, Telstra, and News Corp.
This document provides an introduction to Google Analytics 360, which is Google's enterprise analytics suite. It discusses the different tiers of Google's analytics solutions from free to enterprise. The Analytics 360 suite allows for unsampled data processing, 4 hour data freshness, and integration with other Google products like BigQuery. It positions Google Analytics 360 as the leader solution for data-driven marketing decisions through intelligent insights and reporting capabilities.
SEO guidelines discuss the importance of search engine optimization for businesses and how to develop an effective strategy. Success in SEO requires understanding ranking factors to perform better than competitors and gain highly targeted, potentially low-cost visitors. As user behaviors and search engines evolve, standards change quickly, so an SEO strategy must target specific markets and devices while adapting to search engine developments.
Advance Google Analytics Integration with Inventory DataPrinciple America
Enhanced Ecommerce (EEC) Tracking is one of the “must-have” features of Google Analytics, especially for e-commerce sites.
A marketer can get “Cart-to-Detail Rate” and “Buy-to-Detail Rate” for each product using EEC.
These metrics represent how much each product is attractive to customers and how likely the product got into the customer’s cart.
Products with high Cart-to-Detail Rate or Buy-to-Detail Rate can be appealing not only in e-commerce site but also in “brick and mortar” stores
Placing these high converting products at Point of Purchase (e.g. for in-store that could be “Candy Rack”) could contribute to incremental sales.
Using this dashboard, marketers could identify what products should be replenished quickly, and/or find incremental sales opportunity.
Google Analytics Premium for Better Data-Driven Decisions With Swapnil SinhaTatvic Analytics
Google Analytics Premium is basically everything you love about Google Analytics along with More Power, Better Support and Faster Insights. You get access to 200 custom dimensions & metrics, unsampled reports, bigquery export, multi channel attribution modelling, access to data in 4 hours or less & much more.
Join Swapnil Sinha (Head of Conversion, Google India) to learn how enterprises can use Google Analytics Premium to make better data-driven decisions.
You'll Learn:
* What is GA Premium
* Difference between Standard & Premium Version
* Who Should Use Google Analytics Premium?
* Key Features & Applications of Google Analytics Premium
Google Analytics Premium provides marketers with fresh, accurate, and unsampled analytics data to inform strategic decisions. It offers up to 1 billion hits, 3 million rows of unsampled data, 50 custom variables, and 200 dimensions to track customer behavior. Premium accounts guarantee 99.9% uptime and include a dedicated account manager, live 24/7 support, and access to new training.
Datalicious Google Analytics Premium Reseller InformationDatalicious
Datalicious is now a Google Analytics Premium reseller. If you're looking for a premium analytics solutions, talk to Datalicious about Google Analytics Premium.
1) The document discusses various ways to integrate Google Analytics data with other data sources. It describes using custom dimensions and metrics, data import, and measurement protocol to bring external data into Google Analytics.
2) Methods for extracting data from Google Analytics include reporting APIs and BigQuery, which allow querying aggregated Analytics data.
3) The goal is to connect web data from Google Analytics to other sources of data like CRM systems in order to provide a more complete view of customers and marketing performance. This can help illuminate the relationship between marketing, user behavior, and ROI.
Using Visualization to Succeed with Big Data Pactera_US
The document summarizes a webinar on big data visualization. It discusses drivers for the big data visualization market and new tools emerging. It then profiles several major vendors that offer big data visualization solutions, including Microsoft, QlikView, TIBCO, Tableau, Platfora, Datameer, Splunk, Jaspersoft, and Alpine Data. It concludes with an overview of how Pactera can help clients build advanced analytics solutions.
Case Study - Gordon Foods Delivers Fresh Data to the CloudDATAVERSITY
The traditional ETL approach for moving data to the cloud is labor-intensive and costly, not to mention brittle and slow, draining organizations of time and resources that they just do not have.
In this webinar, you will hear from Gordon Food Service and how they sharpened their competitive edge by delivering the freshest data to Google Cloud and dished up a better customer experience through real-time data insights. You will discover how Qlik’s data integration platform enabled Gordon Food Service to successfully run their Data Modernization Analytics Program and build real-time analytic data pipelines, unlocking multiple data sources, to Google Cloud with simple yet powerful data delivery.
Register today and learn how Gordon Foods:
• Improved their Customer Experience
• Replaced slow custom replication scripts and speed up analytics
• Simplify and automate their real-time data streaming process
• Moves thousands of objects on a daily basis
Find out how your organization can breathe new life into your data in the cloud, stay ahead of changing demands while lowering over-reliance on resources, production time and costs.
Building Data Products with BigQuery for PPC and SEO (SMX 2022)Christopher Gutknecht
In this data management session, Christopher describes how to build robust and reliable data products in BigQuery and dbt, for PPC and SEO use cases. After an introduction to the modern data stack, six principles of reliable data products are presented, followed by the following use cases:
- Google Ads Conversion upload
- SEO sitemap efficiency report
- Google Shopping product rating sync
- Large-Scale link checker with advertools
- Inventory-based PPC campaigns with dbt
Here is the referenced selection of gists on github: https://gist.github.com/ChrisGutknecht
SMX Advanced - When to use Machine Learning for Search CampaignsChristopher Gutknecht
This SMX talk will walk you through how search campaigns can be automated from an inventory and a query perspective and where entry-level machine learning services can improve the automation quality. The accompanying code can be found at: bit.ly/smx_chrisg
The talk was held at SMX Advanded Europe 2019 in Berlin by Christopher Gutknecht from Bergzeit.
Google Analytics 360 is Google's premium analytics suite that includes Attribution 360, Tag Manager 360, Audience Center 360, Optimize 360, Data Studio 360, and additional tools. It provides more advanced features than standard Google Analytics for analyzing digital marketing campaigns, customer journeys, and audience data to gain insights from analytics. Pricing depends on the tools and features needed for an organization.
Cloud Computing Deployments Should Begin With Service Definition - SOA architecture and How Cloud enhances ease of doing business in a scalable and reliable way.
Building a Marketing Data Warehouse from Scratch - SMX Advanced 202Christopher Gutknecht
This deck covers the journey of starting with BigQuery, adding more data sources and building a process around your data warehouse. It covers the three phases greenfield, dashboards and operational analytics and the necessary data components.
The code for uploading your product feed can be found here:
https://gist.github.com/ChrisGutknecht/fde93092e21039299ab76715596eac01
If you have any questions, reach out to me on Linkedin!
Firebase Analytics - Best Practices To Attract, Engage, Convert & Measure You...Tatvic Analytics
This webinar presentation gives you a meticulous understanding of the Firebase Analytics tool starting with a platform walkthrough, set-up and comparative analysis with other app analytics products. You’ll learn how to integrate and report Marketing data from other tools such as DV 360, Google Ads, Admob.
Webinar Recording: https://youtu.be/LdhdR5tGuQw
Presenters: Sarjak & Namrata
Reach out to us: hello@tatvic.com
Questioning data quality and troubleshooting tracking gaps (version2 | Smx Su...Christopher Gutknecht
Checklist LINK: https://docs.google.com/spreadsheets/d/1C7Ojteg-EWazi_xDEwlljwALppHxG3PY8lBuodGSmxY/edit?usp=drive_web&ouid=102383257734620162787
This session gives an updated overview of tracking gaps due to measurement settings, cookie consent and browser issues, also offering an outlook on server-side tagging.
Questioning Data Quality and Troubleshooting Tracking Gaps (SMX Munich 2020)Christopher Gutknecht
This session covers a wide range of causes for observed gaps across different data sources in a web tracking context. The three chapters are measurement settings, browser data loss and cookie consent. The session was held by Christopher Gutknecht at SMX Virtual Edition 2020.
The accompanying checklist can be found here: https://docs.google.com/spreadsheets/d/1C7Ojteg-EWazi_xDEwlljwALppHxG3PY8lBuodGSmxY/edit#gid=1216566297
Data Driven Attribution in BigQuery with Shapley Values and Markov ChainsChristopher Gutknecht
This document provides an overview of data-driven attribution modeling using Shapley values and Markov chains. It discusses defining attribution models in BigQuery, comparing different model outputs, and getting an overview of model decision parameters. The speakers then describe how to implement Shapley values and Markov chain attribution models, including available packages for each. Lastly, it recommends starting simply, testing multiple models and time frames, and gradually expanding the attribution methodology.
What are the differences between Google Analytics Products?
- Universal Analytics has been the standard web analytics product since 2014.
- Google is heavily investing in Firebase Analytics for growing mobile app businesses and has been a standard app analytics product since 2018.
- App + Web was launched as a public beta in Aug. 2019. This is for business owners who provide app as well as web services.
This document provides an overview of how Bergzeit, an online mountain gear retailer, implemented bidding based on gross profit in Google Ads. It discusses:
1. Calculating gross profit in 6 steps, including net order value, margins, return rates, fulfillment costs, and attribution.
2. Uploading the calculated gross profit data into Google Ads using direct conversion import from BigQuery, with "prescaling" to avoid bidding issues.
3. Lessons learned from the project, including the need for various experts, extensive testing, and adjustments for seasonality and other factors.
[Webinar Deck] Google Data Studio for Mastering the Art of Data VisualizationsTatvic Analytics
In this webinar, we will take you through the basics of Google Data Studio and enable you to unlock the true value of data when converted into insights. With Google Data Studio, you can turn your data into informative dashboards and monthly reports that are easy to read, easy to share and fully customizable.
Successful data visualization designs are built by smart teams with varied skill sets using advanced visualization tools. This is not an easy combination to find, but we’ll help you get started.
This document discusses attribution and the customer journey. It summarizes research showing that marketers have different understandings of effective channels and the purpose of channels. It also finds that almost half of marketers do not know if their budgets are balanced. The document discusses how attribution at Google spans solutions from individual channels to predictive optimization across all digital channels and eventual offline attribution. It describes Google's attribution 360 platform and pillars including data collection and management, insights, and third party connectors. The document provides examples of attribution projects for Expedia, Telstra, and News Corp.
This document provides an introduction to Google Analytics 360, which is Google's enterprise analytics suite. It discusses the different tiers of Google's analytics solutions from free to enterprise. The Analytics 360 suite allows for unsampled data processing, 4 hour data freshness, and integration with other Google products like BigQuery. It positions Google Analytics 360 as the leader solution for data-driven marketing decisions through intelligent insights and reporting capabilities.
SEO guidelines discuss the importance of search engine optimization for businesses and how to develop an effective strategy. Success in SEO requires understanding ranking factors to perform better than competitors and gain highly targeted, potentially low-cost visitors. As user behaviors and search engines evolve, standards change quickly, so an SEO strategy must target specific markets and devices while adapting to search engine developments.
Advance Google Analytics Integration with Inventory DataPrinciple America
Enhanced Ecommerce (EEC) Tracking is one of the “must-have” features of Google Analytics, especially for e-commerce sites.
A marketer can get “Cart-to-Detail Rate” and “Buy-to-Detail Rate” for each product using EEC.
These metrics represent how much each product is attractive to customers and how likely the product got into the customer’s cart.
Products with high Cart-to-Detail Rate or Buy-to-Detail Rate can be appealing not only in e-commerce site but also in “brick and mortar” stores
Placing these high converting products at Point of Purchase (e.g. for in-store that could be “Candy Rack”) could contribute to incremental sales.
Using this dashboard, marketers could identify what products should be replenished quickly, and/or find incremental sales opportunity.
Google Analytics Premium for Better Data-Driven Decisions With Swapnil SinhaTatvic Analytics
Google Analytics Premium is basically everything you love about Google Analytics along with More Power, Better Support and Faster Insights. You get access to 200 custom dimensions & metrics, unsampled reports, bigquery export, multi channel attribution modelling, access to data in 4 hours or less & much more.
Join Swapnil Sinha (Head of Conversion, Google India) to learn how enterprises can use Google Analytics Premium to make better data-driven decisions.
You'll Learn:
* What is GA Premium
* Difference between Standard & Premium Version
* Who Should Use Google Analytics Premium?
* Key Features & Applications of Google Analytics Premium
Google Analytics Premium provides marketers with fresh, accurate, and unsampled analytics data to inform strategic decisions. It offers up to 1 billion hits, 3 million rows of unsampled data, 50 custom variables, and 200 dimensions to track customer behavior. Premium accounts guarantee 99.9% uptime and include a dedicated account manager, live 24/7 support, and access to new training.
Datalicious Google Analytics Premium Reseller InformationDatalicious
Datalicious is now a Google Analytics Premium reseller. If you're looking for a premium analytics solutions, talk to Datalicious about Google Analytics Premium.
1) The document discusses various ways to integrate Google Analytics data with other data sources. It describes using custom dimensions and metrics, data import, and measurement protocol to bring external data into Google Analytics.
2) Methods for extracting data from Google Analytics include reporting APIs and BigQuery, which allow querying aggregated Analytics data.
3) The goal is to connect web data from Google Analytics to other sources of data like CRM systems in order to provide a more complete view of customers and marketing performance. This can help illuminate the relationship between marketing, user behavior, and ROI.
Using Visualization to Succeed with Big Data Pactera_US
The document summarizes a webinar on big data visualization. It discusses drivers for the big data visualization market and new tools emerging. It then profiles several major vendors that offer big data visualization solutions, including Microsoft, QlikView, TIBCO, Tableau, Platfora, Datameer, Splunk, Jaspersoft, and Alpine Data. It concludes with an overview of how Pactera can help clients build advanced analytics solutions.
Case Study - Gordon Foods Delivers Fresh Data to the CloudDATAVERSITY
The traditional ETL approach for moving data to the cloud is labor-intensive and costly, not to mention brittle and slow, draining organizations of time and resources that they just do not have.
In this webinar, you will hear from Gordon Food Service and how they sharpened their competitive edge by delivering the freshest data to Google Cloud and dished up a better customer experience through real-time data insights. You will discover how Qlik’s data integration platform enabled Gordon Food Service to successfully run their Data Modernization Analytics Program and build real-time analytic data pipelines, unlocking multiple data sources, to Google Cloud with simple yet powerful data delivery.
Register today and learn how Gordon Foods:
• Improved their Customer Experience
• Replaced slow custom replication scripts and speed up analytics
• Simplify and automate their real-time data streaming process
• Moves thousands of objects on a daily basis
Find out how your organization can breathe new life into your data in the cloud, stay ahead of changing demands while lowering over-reliance on resources, production time and costs.
This document provides an outline for a presentation on Microsoft's Business Intelligence (BI) consolidation capabilities. The presentation aims to provide an overview of Microsoft's BI vision and the key benefits of consolidation, using case studies and customer evidence. The presentation outline covers common BI challenges organizations face with multiple disconnected tools, and how Microsoft's integrated BI platform addresses these challenges through a single consolidated view, reduced costs, improved collaboration and efficiency.
Google Cloud Connect @ Korea
- Google Cloud Vision
- G Suite Product Roadmap
- Google Cloud Security
- Google Cloud Machine Learning
- G suite Customer Stories
Using Google Cloud for Marketing Analytics: How the7stars, the UK’s largest i...Matillion
the7Stars, the leading UK Digital Marketing agency, has global clients ranging from Nintendo to Suzuki to Iceland. With growing data volumes, the7Stars faced the challenge of centralizing all their customers’ marketing data for quick and easy analysis.
In this joint webinar, you will hear about how the7Stars are using Google BigQuery as their data warehouse collating data from many different sources, allowing them to grow their business and attract new customers. the7Stars is also using Matillion ETL to combine the data from different sources and load it all into BigQuery enabling agile and responsive market analysis giving their clients a competitive edge, while saving time and money.
In this webinar learn:
- the7Stars’ data journey for maximizing value
- Google BigQuery, BigQuery Data Transfer Service and best practices for marketing analytics
- How to collect data from different sources and streamline transformations and queries in Google BigQuery with Matillion ETL
- Benefits being actualized by 7 Stars, such as saving time/money and growing their customer base
Watch the full webinar: https://youtu.be/8VEHf_wAXao
Google Analytics Konferenz 2019_Google Cloud Platform_Carl Fernandes & Ksenia...e-dialog GmbH
Marketing in the Cloud with Google
It's no secret that "data" and "the cloud" presents a huge opportunity for marketers - but often it's difficult to understand how exactly these famous buzzwords can really help step change performance for a business. In this talk you will learn how Google thinks about marketing in the cloud, what the key use cases are and best practices that will help advertisers prepare for the future.
The document discusses developing a simplified version of Microsoft applications called Shutters that can be customized through artificial intelligence to meet the needs of working professionals. It analyzes the target market segments, competitive advantages, and recommends promoting Shutters through existing Microsoft users and bundling it with services like Spotify. The financial projections and risks associated with the new product are also covered.
Strengthen your Office 365 Adoption with OfficeExpert Usage Datapanagenda
Measuring the Usage of Office 365 is important when it comes to steer and strengthen adoption within your organization. In this webinar, you get an understanding of how OfficeExpert collects and process usage information and what value you can get out of it. Utilizing this data further on within Power BI is another possibility which is shown during the presentation.
Recording: https://pan.news/2BLhbPu
Google Data Studio - First impressions @ MeasurecampPhil Pearce
This document provides an agenda for a presentation on Google Data Studio. The agenda includes:
1. An overview of the role of data visualization in decision making.
2. How to create visualizations using Google Data Studio, including the interface and available connectors.
3. Examples of different types of reports that can be built in Google Data Studio, such as website analytics, YouTube analytics, AdWords performance, and marketing attribution.
4. A quiz for participants to test their understanding of Google Data Studio.
Topics including: The transformative value of real-time data and analytics, and current barriers to adoption. The importance of an end-to-end solution for data-in-motion that includes ingestion, processing, and serving. Apache Kudu’s role in simplifying real-time architectures.
Azure analysis services next step to bi in the cloudGabi Münster
This document discusses Azure Analysis Services and how it can improve business intelligence (BI) in the cloud. It begins with an introduction of the speaker and an agenda for the presentation. It then provides definitions of Azure Analysis Services, BI, and their key components. The rest of the document focuses on the advantages of Azure Analysis Services compared to on-premises SSAS and other cloud BI services like Power BI, including easier setup and management, scalability, and cost benefits. It demonstrates features of Azure Analysis Services and how it can close gaps between self-service and enterprise BI needs.
This document discusses how businesses can leverage collective insight through analytics solutions from SAP to gain strategic advantages. It highlights key analytics trends like the growth of data and connected devices. SAP offers solutions like Lumira for agile visualization, advanced analytics for predictive modeling, and enterprise BI for collaborative analysis. These solutions help organizations discover patterns, predict outcomes, and incorporate insights into decision-making across business units and roles.
Modern Thinking: Cómo el Big Data y Cognitive están cambiando la estrategia de Marketing
Por: Ismael Yuste, Strategic Cloud Engineer Google Cloud
Presentación: Introducción a las soluciones Big Data de Google
Gert-Jan Lagas is Head of Google Analytics 360 Suite voor de Benelux en kent alle ins en outs omtrent Optimize 360. De A/B testing tool waarmee A/B- èn multivariate-testen gedaan kunnen worden. Tijdens zijn sessie staat Gert-Jan stil bij de kracht van deze tool waarbij hij tevens de relatie legt met audiences vanuit DoubleClick.
Meer informatie of ook een event bezoeken? Mail naar: event@orangevalley.nl
Anastasiya Kochepasova is a program manager with over 10 years of experience in data analysis, strategy development, and pricing optimization. She currently works at Google, where she sets pricing policy for G Suite and reworks monetization strategies. Previously, she held data roles at various tech companies, developing algorithms, models, and visualizations to drive business decisions. Kochepasova has expertise in R, Python, SQL, and tools like Tableau, and holds a BSc in Mathematics and Economics.
Getting Started with Google Data StudioChris Burgess
Presented at the Melbourne SEO Meetup in September 2019, this slide deck offers a broad overview of the Google Data Studio product. It includes a walk through of the main features, resources to help you learn more, as well as some tips to help you with your own custom dashboards and reports.
Business GPT Presentation- company insightsAGATSoftware
AI insights across all company data sources
With the overwhelmed communication channels such as emails, meetings, chats, CRM, Support, and Task systems, employees are challenged to comprehensively understand the business and customer needs for effective data-driven decisions and activities.
- AGI BusinessGPT is a product that enables users to interact with all company data by asking questions, just like engaging in a conversation with ChatGPT on public data.
- BusinessGPT has access to the most important data sources, including emails, meeting transcripts, chats, documents, web sites. CRM and Tasks systems.
- Designed for the enterprise, every user will get insights only based on data he has access to.
- BusinessGPT offers precise and consolidated real-time information for boosting decision-making and performing tasks.
Augmented analytics essentially takes all but the first and last part of the general BI Workflow & delivers increasingly relevant business insights.
Similar to GAUC 2017 Workshop Datastudio: Martin Frotzler (e-dialog) & Lili Pajer (Google) (20)
Hochwertiger Content ist gerade für Publisher enorm wichtig. Aber auch der beste Content bringt wenig, wenn potentielle Leser nicht auf ihn aufmerksam werden. Diese Session zeigt, wie mit einem Ad Operations Team aus Techis und Schreiberlingen Content Marketing von Programmatic Advertising profitiert.
RTB-Verfahren und Eigenschaften der Außenwerbung treffen im Programmatic DOOH aufeinander. Auch wenn die technischen Grundlagen dieselben sind, gibt es für Advertiser in der Umsetzung einer automatisierten DOOH Kampagne viel zu beachten.
Den Google Tag Manager kannst du an allen Ecken und Kanten noch besser machen und ausnutzen, um dein Online Marketing zu verbessern. Im Workshop gibt's alltags- und praxistaugliche Hacks für dein Lieblingstool.
GMP-Con 2019 - Conversion Optimierung mit Analytics + Optimize - Sophie Kubec...e-dialog GmbH
Google Analytics bietet eine Vielzahl an Insights für die Optimierung von Websites. Erfahren Sie, welche Reports, Segmente & Funnels Conversion Optimierer kennen müssen und wie man datengetriebene Testing-Ideen entwickelt. Außerdem: Test-Beispiele, Erfolge & Learnings aus der Praxis.
Mit der kostenlosen Trackinglösung für Apps von Google erfasst du die Nutzer und Interaktionen deiner App und bewertest diese in eigenen Reports. Im Workshop siehst du, was Firebase kann, wie man es nutzt und worauf du achten musst.
GMP-Con 2019 - Programmatic Display mit DV360 - Lisa Weichselbaum (e-dialog)e-dialog GmbH
Features von DV360 bestmöglich für deine Kampagnen nutzt: "Media Consolidation" für zentrale Optimierung, übergreifendes Frequency Capping, Targeting auf Google Analytics Audiences u.v.m.
GMP-Con 2019 - Facebook & Google Analytics in Love - Michaela Linhart (e-dialog)e-dialog GmbH
Du schaltest Facebook und Instagram Ads und nutzt Google Analytics aber aus irgendeinem Grund passen die Reporting-Zahlen nicht zusammen? In diesem Workshop erfährst du warum und wie du deine Datendifferenzen bereinigen kannst.
Die Zukunft von Marketing liegt in der Nutzung von Rohdaten: Ein Streifzug durch die Nutzung der Marketing Daten in BigQuery, Machine-Learning Cases, was die künftige Ads Data Hub bringt und wie mit CRM-Verknüpfung Prediction und Personalisierung geschafft wird.
GMP-Con 2019 - Enhanced E-Commerce - Markus Vollmert (lunapark)e-dialog GmbH
Das Enhanced Ecommerce Tracking erweitert die Möglichkeiten von Google Analytics deutlich. Wir zeigen, wie du es planst, im GTM aufsetzt, welche Berichte sinnvoll sind und wie du die Daten in anderen Google Tools nutzen kannst.
GMP-Con 2019 - Conversion Optimierung mit Analytics + Optimize - Sophie Kubec...e-dialog GmbH
Google Analytics bietet eine Vielzahl an Insights für die Optimierung von Websites. Erfahren Sie, welche Reports, Segmente & Funnels Conversion Optimierer kennen müssen und wie man datengetriebene Testing-Ideen entwickelt. Außerdem: Test-Beispiele, Erfolge & Learnings aus der Praxis.
Google Analytics Konferenz 2019_App Tracking_Runa Reno (Booking.com) & Markus...e-dialog GmbH
Mit der kostenlosen Trackinglösung für Apps von Google erfasst du die Nutzer und Interaktionen deiner App und bewertest diese in eigenen Reports. Im Workshop siehst du, was Firebase kann, wie man es aufsetzt und nutzt. Sieh, wie Booking.com die Implementierung angeht und mit Firebase Daten für die Produkt- und Kampagnen-Optimierung der Apps sammelt.
Google Analytics Konferenz 2019_Audience Management_Emma Crawford-Prajapati (...e-dialog GmbH
Wie man Audiences mit Google Analytics und Big Query bildet und bewertet, diese in DV360 nutzt und mit weiteren Daten kombiniert. Sehen Sie Best Practices für Audiences und Creatives von den Experten sowie einen Praxiscase zu Audience Management im E-Commerce.
Google Analytics Konferenz 2019_Data Privacy & Consent Management_Eckart Holz...e-dialog GmbH
How-to: Consent Management
Obtaining and documenting consent is vital for your business. But how much consent do you really need? And, if you need it, what is the best way to handle it?
Google Analytics Konferenz 2019_Conversion Optimierung mit Analytics & Optimi...e-dialog GmbH
Google Analytics bietet eine Vielzahl an Insights für die Optimierung von Websites. Erfahren Sie, welche Reports, Segmente & Funnels Conversion Optimierer kennen müssen und wie man datengetriebene Testing-Ideen entwickelt. Außerdem: Test-Beispiele, Erfolge & Learnings aus der Praxis.
Google Analytics Konferenz 2019_Customer Data Platform_Michaela Linhart (e-di...e-dialog GmbH
Die Customer Data Platform in der Google Welt
In dieser Session erfahren Sie, wie Sie mit Daten aus Google Analytics (360) eine Customer Data Platform entwickeln. Wir zeigen Möglichkeiten und Best Practice Ansätze.
Google Analytics Konferenz 2019_Customer Data Platform_Timo von Focht (Comman...e-dialog GmbH
Take the Data Driver's Seat - Warum Marketing nicht mehr ohne Customer Data Platform auskommt
Was ist eigentlich eine CDP und wozu bracht man sie? Was ist der Unterschied zu einer DMP, zum CRM und zum DWH? Dieser Vortrag zeigt was eine CDP können soll, typische Use Cases und mögliche Stolpersteine
Google Analytics Konferenz 2019_Google Marketing Platform - Enterprise_Siegfr...e-dialog GmbH
Die Entscheidung für 360 rechtfertigen
Ab wann rechnet sich der Einsatz von GA360, einem eigenen Adserver oder der Einsatz von Optimize für Personalisierung? Use Cases mit Amortisationsrechnungen als Entscheidungshilfe für Advertiser und Publisher.
Ready to Unlock the Power of Blockchain!Toptal Tech
Imagine a world where data flows freely, yet remains secure. A world where trust is built into the fabric of every transaction. This is the promise of blockchain, a revolutionary technology poised to reshape our digital landscape.
Toptal Tech is at the forefront of this innovation, connecting you with the brightest minds in blockchain development. Together, we can unlock the potential of this transformative technology, building a future of transparency, security, and endless possibilities.
Discover the benefits of outsourcing SEO to Indiadavidjhones387
"Discover the benefits of outsourcing SEO to India! From cost-effective services and expert professionals to round-the-clock work advantages, learn how your business can achieve digital success with Indian SEO solutions.
HijackLoader Evolution: Interactive Process HollowingDonato Onofri
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
2. Über uns
2
Lili Pajer, M.A.
Analytical Consultant
Google Austria GmbH
lpajer@google.com+353-1-519-8588
Martin Frotzler
Digital Analytics Consultant
e-dialog GmbH
frotzler@e-dialog.at+43-1-309 09 09-26
3. Agenda
3
- Part 1: Data Studio Introduction
- Part 2: Product Demo
- Part 3: Data Studio in der Praxis
- Q&As
9. 9
It’s not just the process that’s tough
Data lives in purpose
built tools
Silo’d; Difficult to get view across
entire business
Lots of
import/export
Manual process; time consuming;
leads to old / static data
Data updated
infrequently
Difficult to make decisions
21. Wie nutzen wir das? - 2 Use Cases aus der Praxis
• Steuerungs- und Insights Cockpits:
• #1: Display Kampagnen nach dem Targeting Funnel
• #2: Mediaplan Soll / Ist Kontrolle
21
22. Insights entlang des Funnels generieren
22
Reach
Engage
Do
Ziel: Sichtbarkeit, Aufmerksamkeit
Ziel: Engagement, Micro Conversions
Ziel: Kauf, Life-Time-Value
23. Wie visualisieren wir das in Datastudio?
• Kategorisierung des Targetings mittels:
– eindeutiger Nomenklatur in der Kampagnenbuchung
– welche via Regex in Datastudio erfasst und in einer
benutzerdefinierten Dimension gespeichert wird
– mit Google Analytics 360 und der Verknüpfung mit
DoubleClick als Datenquelle
23
25. Mediaplan Soll / Ist Kontrolle
• Nutzung der Google Spreadsheet Schnittstelle von
Datastudio
• Soll-Daten werden in das Spreadsheet eingetragen
• Ist-Daten werden automatisiert täglich in das Spreadsheet
geladen (via Google Analytics Add-On und der API) und
• in Datastudio wird beides tagesaktuell visualisiert
25