Google Analytics is free, has more functions than anyone would ever use, is easy to set up and even easier to use. But beyond the standard implementation it has certain limits.
With a minimal budget and a little to no coding effort many of those limits can be overcome.
Tobias Kraeft presented how to set up insightful reports in Google DataStudio by using Google Analytics Data in Google BigQuery using a very basic set-up:
1. A process to export your data into Google BigQuery
2. A few simple SQL statements to read the exports in Google DataStudio.
The challenges to master:
- Multi Domain Reporting
- Custom Grouping of Everything
- Organic Keyword Data
- From Revenue to Profit
- User Centric Reporting
- Offline Marketing Activity
The slides where part of a speech at the AllThingsData 2017 Conference in Tel-Aviv, Israel, by Tobias Kraeft on April 27th.
RealZips GeoData Platform™ for Salesforce.com
The native RealZips app instantly provides Zip codes and business GeoData. Recently awarded App of the Week. Drive workflows: territory management, web-to-lead, lead assignment & ownership alignment. Start free 30 day trial.
The RealZips app for Salesforce adds a geographic structure to your Salesforce.com CRM data. RealZips contains millions of geographic datapoints describing your sales territories and helps identify market potential and track performance.
This slide deck is a quick overview of how your team can drive success with RealZips.
Breaking the chain of standard online analytics
How to overcome common Google Analytics limits by using Googles BigQuery and DataStudio.
Everybody loves Google Analytics: It’s free, it has more functions than anyone would ever use, it’s easy to set up and even easier to use. But still, when going beyond the standard implementation it has certain limits.
Many of those limits can be overcome simply by using additional tools, which can be set up and used even with a minimal budget and just a little coding effort.
Tobias presents you how to set up insightful reports in Google DataStudio by using Google Analytics Data in Google BigQuery.
The basic set-up: A process to export your data into Google BigQuery + a few simple SQL statements to read the exports in Google DataStudio.
The challenges: Cross-Account Reporting, Custom Grouping of Everything, Organic Keyword Data, Profits instead of Revenues, user-centric reports, offline marketing activity.
Healthcare Marketing: The Key To Maximum ROI - Keyword Mapping [Webcast]AIS Media, Inc.
Enjoy AIS Media Inc.’s webinar, The Key To Maximum ROI: Keyword Mapping.
It's a search battleground out there. In today's web-first marketing landscape, keyword mapping can close the distance between you and your next patient. Here's how to get started.
RealZips GeoData Platform™ for Salesforce.com
The native RealZips app instantly provides Zip codes and business GeoData. Recently awarded App of the Week. Drive workflows: territory management, web-to-lead, lead assignment & ownership alignment. Start free 30 day trial.
The RealZips app for Salesforce adds a geographic structure to your Salesforce.com CRM data. RealZips contains millions of geographic datapoints describing your sales territories and helps identify market potential and track performance.
This slide deck is a quick overview of how your team can drive success with RealZips.
Breaking the chain of standard online analytics
How to overcome common Google Analytics limits by using Googles BigQuery and DataStudio.
Everybody loves Google Analytics: It’s free, it has more functions than anyone would ever use, it’s easy to set up and even easier to use. But still, when going beyond the standard implementation it has certain limits.
Many of those limits can be overcome simply by using additional tools, which can be set up and used even with a minimal budget and just a little coding effort.
Tobias presents you how to set up insightful reports in Google DataStudio by using Google Analytics Data in Google BigQuery.
The basic set-up: A process to export your data into Google BigQuery + a few simple SQL statements to read the exports in Google DataStudio.
The challenges: Cross-Account Reporting, Custom Grouping of Everything, Organic Keyword Data, Profits instead of Revenues, user-centric reports, offline marketing activity.
Healthcare Marketing: The Key To Maximum ROI - Keyword Mapping [Webcast]AIS Media, Inc.
Enjoy AIS Media Inc.’s webinar, The Key To Maximum ROI: Keyword Mapping.
It's a search battleground out there. In today's web-first marketing landscape, keyword mapping can close the distance between you and your next patient. Here's how to get started.
Driving Sales - Building Budgets Around Today's MillennialDave Spannhake
Discover automotive industry trends for both dealer budget allocation and consumer behavior to back a dealer’s marketing decisions based on data
Review the primary marketing channels, digital and traditional, and discuss the purpose of each channel, the KPIs that are creating results, and leverage the extensive amount of available data to build a budget based on the best return of each channel for a dealership
Develop a budget building process understanding the intent and in-market channels along with stimulus and dealership branding media around the channels that best match these two high-level marketing purposes
You can’t read a news article without some reference to Artificial Intelligence (AI). From Siri, to Spotify, to Call of Duty and now self-driving cars, AI is becoming a standard part of our daily lives. That is no different for the B2B world. A recent study surveying 500 marketing executives found that 80% believe AI will revolutionize marketing by 2020 while only 10% are actually using it.
But that is all about to change. In June 2016, Demandbase acquired Spiderbook, an AI-based solution that helps B2B companies overcome the most complex data challenges. Host Analytics was one of the first customers to leverage Spiderbook’s AI technology and achieved amazing results.
Join Demandbase and Host Analytics for a webinar on January 24 to learn:
- How AI is changing the B2B landscape and what powers the technology behind Demandbase
- How Host Analytics leveraged Spiderbook to make its marketing more efficient
- The challenges marketing and sales professionals face with AI
- How to overcome those challenges to maximize sales conversations and close more deals
Self-scheduling Prospects with Marketing Automation
Traditional B2B SaaS wisdom has it that you need a large, expensive Sales Development team to fill your sales team's calendars with qualified sales meetings.
But what if marketing automation could get your prospects to schedule their own sales demos, leaving out the expensive Sales Development team?
In this talk, Udi Ledergor, VP Marketing at Gong.io, will show us how they're using marketing automation to help prospects self-schedule their product demos and fill their pipeline with sales opportunities at a fraction of the traditional cost per meeting.
Add horsepower and efficiency to your digital marketing strategy to get more leads and provide a better experience for your customers. We will provide you with real tactics that we use every day to keep the phones ringing. Most of these tactics can be implemented by anyone in your office and are often missed by businesses. We will give you things that you can take home and implement immediately to drive results.
SEO with Google Analytics - Organic KeywordsTobias Kraeft
In 2011 Google started to hide information on organic keywords to be used in Third Party Tools, inlcuding Google Analytics. In 2016 we now see around 95% of all searches as '(not provided)' within all reports.
While the Keyword-Data is missing in Google Analytics, it is still available within the Google Search Console. And since the update of the Google Search Console API it's possible to extract the data systematically and combine it with the performance data in Google Analytics.
How? That's what you'll learn in these slides, originally presented on the Google Analytics Summit 2016 in Hamburg, Germany by Tobias Kräft in October 2016.
Digital Dealer Webinar - How Does My Digital Strategy Stack Up to the Competi...Dave Spannhake
Since his time leading a 25-person internal marketing team for a 33-rooftop dealership group, two questions have always been top of mind for Dave Spannhake and his marketing teams: What is my competition doing that I may not know about and how can I use data to increase the shoppers coming to my stores?
During this presentation, we will discuss those two questions that plague most owners, GMs, and marketers by using data science to share many aspects of the automotive marketing landscape and what results dealers should expect. Using data from hundreds of dealerships, we will be looking at the average dealership results, best-in-industry results, and what the bottom of the barrel dealerships are seeing for many key performance metrics and the “whys” behind those results!
Specifically, what are the things that consumers are shopping for? What are the most used search terms that are driving traffic? Do you have pages that match those signals on your website to convert? Many insights will be shared from a 10 million query study that will change the way you prioritize your website experience. How does your site convert compared to the competition? We’ll look at best practices for the homepage, your SRPs, and your VDPs to see what the best, worst, and average dealers are seeing in terms of success with some key takeaways on what the highest converting websites are doing. Are consumers doing the things you want them to do and does it match their expectations?
Attend this webinar to learn:
The search behaviors happening by in-market shoppers using aggregate search data from a 10 million search dataset
On-site conversion behaviors from hundreds of dealerships across the country – how do you stack up to others?
What are the best dealerships in the country doing on their websites that is working and why?
How can these same concepts apply outside of SEO and conversion optimization to SEM, display, social media, third party site success, and more!
This session provides an overview of the CA automation strategy—from mainframe to cloud. It will explain our strategy for the complete automation portfolio of CA Technologies, including the role automation plays in enabling your Modern Software Factory and operating an agile, fully automated enterprise. Using customer examples, we will examine how you can automate business processes and empower innovative new applications to drive revenue and retain customers.
For more information on Automation, please visit: http://ow.ly/mHLO50fQCZd
This session provides an overview of the CA automation strategy—from mainframe to cloud. It will explain our strategy for the complete automation portfolio of CA Technologies, including the role automation plays in enabling your Modern Software Factory and operating an agile, fully automated enterprise. Using customer examples, we will examine how you can automate business processes and empower innovative new applications to drive revenue and retain customers.
For more information on Automation, please visit: http://ow.ly/Zdt750fJY5Y
ATC304_RFID (Really Freaking Indispensable and Decisive) AdvertisingAmazon Web Services
Interested in learning how to integrate the Internet of Things into your advertising platform and combine it with AWS Greengrass, AWS Lambda, Amazon DynamoDB, and Amazon API Gateway to send context-aware advertisements to users at the point of buying? In this session, Mobiquity, the leader in digital engagements servicing the world’s top brands, and their Innovation Partner Flomio discuss how they’ve been able to use AWS to create compelling digital experiences for their clients. We deep-dive on the technology behind Mobiquity’s innovative shopping system that uses RFID, Bluetooth, captive Wifi, and a mobile app to provide real-time context for understanding how and where your customers interact with your products and services, allowing you to better tailor your ads to their particular preferences.
Demandbase’s Targeting Solution took major leaps over the past year, and B2B advertisers have been moving fast to adopt the new tech. In this session, we will explore the power of intent signals in Account-Based Advertising, along with strategies and tools for building high-performing campaigns and measuring their impact on your business.
Every marketer dreams of personalizing their website experience, but 99% of business fail to implement personalization effectively. Join Austin Distel's workshop on the 3 steps to implementing personalization on your website to serve multiple marketers, tailor to each channel, and adapt along the customer journey.
Data from users is needed to build great products. Google, Facebook even Doubleclick would not be able to offer their services unless they had tons of data. No company or product is an exception, the current industry modus-operandi is "collect-as-you-can" and it is bound to produce privacy side effects.
We would like to share an alternative approach based on client-side aggregation. This talk will showcase how it is perfectly possible to collect and anonymously send data without any user identifiers or PII for building data driven products like a browser with a fully integrated search engine (Cliqz), Anti-tracking, Anti-phishing etc. without risking or compromising the users privacy at any time.
Video : https://media.ccc.de/v/7ZQPWK
Retargeting is a tactic of online advertising that can help get your brand in front of bounced traffic once they leave your website. If you’re investing in any amount of SEM, SEO, social media or other online initiatives that direct users to your website, then you should be ensuring you’re converting as many prospects as possible. Retargeting is a tactic of online advertising that can help get your brand in front of bounced traffic once they leave your website. If you’re investing in any amount of SEM, SEO, social media or other online initiatives that direct users to your website, then you should be ensuring you’re converting as many prospects as possible.
Driving Sales - Building Budgets Around Today's MillennialDave Spannhake
Discover automotive industry trends for both dealer budget allocation and consumer behavior to back a dealer’s marketing decisions based on data
Review the primary marketing channels, digital and traditional, and discuss the purpose of each channel, the KPIs that are creating results, and leverage the extensive amount of available data to build a budget based on the best return of each channel for a dealership
Develop a budget building process understanding the intent and in-market channels along with stimulus and dealership branding media around the channels that best match these two high-level marketing purposes
You can’t read a news article without some reference to Artificial Intelligence (AI). From Siri, to Spotify, to Call of Duty and now self-driving cars, AI is becoming a standard part of our daily lives. That is no different for the B2B world. A recent study surveying 500 marketing executives found that 80% believe AI will revolutionize marketing by 2020 while only 10% are actually using it.
But that is all about to change. In June 2016, Demandbase acquired Spiderbook, an AI-based solution that helps B2B companies overcome the most complex data challenges. Host Analytics was one of the first customers to leverage Spiderbook’s AI technology and achieved amazing results.
Join Demandbase and Host Analytics for a webinar on January 24 to learn:
- How AI is changing the B2B landscape and what powers the technology behind Demandbase
- How Host Analytics leveraged Spiderbook to make its marketing more efficient
- The challenges marketing and sales professionals face with AI
- How to overcome those challenges to maximize sales conversations and close more deals
Self-scheduling Prospects with Marketing Automation
Traditional B2B SaaS wisdom has it that you need a large, expensive Sales Development team to fill your sales team's calendars with qualified sales meetings.
But what if marketing automation could get your prospects to schedule their own sales demos, leaving out the expensive Sales Development team?
In this talk, Udi Ledergor, VP Marketing at Gong.io, will show us how they're using marketing automation to help prospects self-schedule their product demos and fill their pipeline with sales opportunities at a fraction of the traditional cost per meeting.
Add horsepower and efficiency to your digital marketing strategy to get more leads and provide a better experience for your customers. We will provide you with real tactics that we use every day to keep the phones ringing. Most of these tactics can be implemented by anyone in your office and are often missed by businesses. We will give you things that you can take home and implement immediately to drive results.
SEO with Google Analytics - Organic KeywordsTobias Kraeft
In 2011 Google started to hide information on organic keywords to be used in Third Party Tools, inlcuding Google Analytics. In 2016 we now see around 95% of all searches as '(not provided)' within all reports.
While the Keyword-Data is missing in Google Analytics, it is still available within the Google Search Console. And since the update of the Google Search Console API it's possible to extract the data systematically and combine it with the performance data in Google Analytics.
How? That's what you'll learn in these slides, originally presented on the Google Analytics Summit 2016 in Hamburg, Germany by Tobias Kräft in October 2016.
Digital Dealer Webinar - How Does My Digital Strategy Stack Up to the Competi...Dave Spannhake
Since his time leading a 25-person internal marketing team for a 33-rooftop dealership group, two questions have always been top of mind for Dave Spannhake and his marketing teams: What is my competition doing that I may not know about and how can I use data to increase the shoppers coming to my stores?
During this presentation, we will discuss those two questions that plague most owners, GMs, and marketers by using data science to share many aspects of the automotive marketing landscape and what results dealers should expect. Using data from hundreds of dealerships, we will be looking at the average dealership results, best-in-industry results, and what the bottom of the barrel dealerships are seeing for many key performance metrics and the “whys” behind those results!
Specifically, what are the things that consumers are shopping for? What are the most used search terms that are driving traffic? Do you have pages that match those signals on your website to convert? Many insights will be shared from a 10 million query study that will change the way you prioritize your website experience. How does your site convert compared to the competition? We’ll look at best practices for the homepage, your SRPs, and your VDPs to see what the best, worst, and average dealers are seeing in terms of success with some key takeaways on what the highest converting websites are doing. Are consumers doing the things you want them to do and does it match their expectations?
Attend this webinar to learn:
The search behaviors happening by in-market shoppers using aggregate search data from a 10 million search dataset
On-site conversion behaviors from hundreds of dealerships across the country – how do you stack up to others?
What are the best dealerships in the country doing on their websites that is working and why?
How can these same concepts apply outside of SEO and conversion optimization to SEM, display, social media, third party site success, and more!
This session provides an overview of the CA automation strategy—from mainframe to cloud. It will explain our strategy for the complete automation portfolio of CA Technologies, including the role automation plays in enabling your Modern Software Factory and operating an agile, fully automated enterprise. Using customer examples, we will examine how you can automate business processes and empower innovative new applications to drive revenue and retain customers.
For more information on Automation, please visit: http://ow.ly/mHLO50fQCZd
This session provides an overview of the CA automation strategy—from mainframe to cloud. It will explain our strategy for the complete automation portfolio of CA Technologies, including the role automation plays in enabling your Modern Software Factory and operating an agile, fully automated enterprise. Using customer examples, we will examine how you can automate business processes and empower innovative new applications to drive revenue and retain customers.
For more information on Automation, please visit: http://ow.ly/Zdt750fJY5Y
ATC304_RFID (Really Freaking Indispensable and Decisive) AdvertisingAmazon Web Services
Interested in learning how to integrate the Internet of Things into your advertising platform and combine it with AWS Greengrass, AWS Lambda, Amazon DynamoDB, and Amazon API Gateway to send context-aware advertisements to users at the point of buying? In this session, Mobiquity, the leader in digital engagements servicing the world’s top brands, and their Innovation Partner Flomio discuss how they’ve been able to use AWS to create compelling digital experiences for their clients. We deep-dive on the technology behind Mobiquity’s innovative shopping system that uses RFID, Bluetooth, captive Wifi, and a mobile app to provide real-time context for understanding how and where your customers interact with your products and services, allowing you to better tailor your ads to their particular preferences.
Demandbase’s Targeting Solution took major leaps over the past year, and B2B advertisers have been moving fast to adopt the new tech. In this session, we will explore the power of intent signals in Account-Based Advertising, along with strategies and tools for building high-performing campaigns and measuring their impact on your business.
Every marketer dreams of personalizing their website experience, but 99% of business fail to implement personalization effectively. Join Austin Distel's workshop on the 3 steps to implementing personalization on your website to serve multiple marketers, tailor to each channel, and adapt along the customer journey.
Data from users is needed to build great products. Google, Facebook even Doubleclick would not be able to offer their services unless they had tons of data. No company or product is an exception, the current industry modus-operandi is "collect-as-you-can" and it is bound to produce privacy side effects.
We would like to share an alternative approach based on client-side aggregation. This talk will showcase how it is perfectly possible to collect and anonymously send data without any user identifiers or PII for building data driven products like a browser with a fully integrated search engine (Cliqz), Anti-tracking, Anti-phishing etc. without risking or compromising the users privacy at any time.
Video : https://media.ccc.de/v/7ZQPWK
Retargeting is a tactic of online advertising that can help get your brand in front of bounced traffic once they leave your website. If you’re investing in any amount of SEM, SEO, social media or other online initiatives that direct users to your website, then you should be ensuring you’re converting as many prospects as possible. Retargeting is a tactic of online advertising that can help get your brand in front of bounced traffic once they leave your website. If you’re investing in any amount of SEM, SEO, social media or other online initiatives that direct users to your website, then you should be ensuring you’re converting as many prospects as possible.
Similar to Breaking the Chain of Standard Analytics @AllThingsData2017 (20)
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).
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.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
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.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
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.
15. EXPERIENCE
PERSONAL
GOOGLE ANALYTICS SUITE
10+ YEARS IN ONLINE MARKETING AND E-COMMERCE
5+ YEARS MARKETING ANALYTICS
HANDLED THE WORLD‘S LARGEST GOOGLE ANALYTICS 360 ACCOUNT
MULTIPLE GTM, GA, BIGQUERY INTEGRATIONS
POLITICAL SCIENTIST, GOETHE UNIVERSITY FRANKFURT
MARRIED FATHER OF TWO SONS
TOURGUIDE OF TODAY
TOBIAS KRÄFT
DIRECTOR BUSINESS
INTELLIGENCE & ANALYTICS
#ATD2017
20. SQL
CONNECTING DATA WAREHOUSES WITH DATA VISUALIZATION TOOLS WILL
ALMOST ALWAYS REQUIRE SOME KIND OF SQL
JAVASCRIPT
ENHANCING STANDARD WEB TRACKING WILL ALMOST ALWAYS REQUIRE
SOME KIND OF JAVASCRIPT
PYTHON
AUTOMATING PROCESSES AND DATA ANALYSES WILL ALMOST ALWAYS
REQUIRE SOME HIGH-LEVEL PROGRAMMING LANGUAGE
#ATD2017
22. ADVANCED CROSS DOMAIN REPORTING
REQUIREMENTS
• AUTOMATED GOOGLE
ANALYTICS DATA EXPORT
RESULT
• AGGREGATED REPORTS
• PERFORMANCE COMPARISON
ON EVERY DETAIL LEVEL
#ATD2017
27. DATA ON ORGANIC KEYWORD LEVEL
IDENTIFYING THE OPTIMAL LANDING
PAGE FOR KEYWORDS BY
CONVERSIONS
• KW RANKS FOR MULTIPLE
LANDING PAGES, BUT CONVERTS
BEST FOR ONLY ONE:
→ OPTIMISE THE BEST
PERFORMING LP FOR THE KW,
OTHER PAGES FOR OTHER KW‘S
SPLITTING BETWEEN BRAND AND
NON-BRAND:
• MORE PRECISE ORGANIC TRAFFIC
EVALUATION
#ATD2017
28. DATA ON ORGANIC KEYWORD LEVEL
REQUIREMENTS
• AUTOMATED GOOGLE
ANALYTICS DATA EXPORT
• AUTOMATED GOOGLE SEARCH
CONSOLE DATA EXPORT
• AUTOMATED MATCHING LOGIC
RESULT
• OPTIMIZATION ON KEYWORD
LEVEL
• BRAND VS. NON-BRAND SPLIT
• KEYWORD RESEARCH
#ATD2017
29. DATA ON ORGANIC KEYWORD LEVEL
TOTAL CONVERSIONS PER LANDING PAGE
TOTAL CLICKS PER LANDING PAGE
CONVERSION SPLITTING:
x TOTAL CLICKS PER KEYWORDCONVERSIONS PER KEYWORD =
LANDING
PAGE
CONVER-
SIONS
DATE DEVICE
GOOGLE ANALYTICS
LANDING
PAGE
QUERIES
DATE DEVICE
GOOGLE SEARCH CONSOLE
DATE DEVICE
LANDING
PAGE
QUERIES
CONVER-
SIONS
#ATD2017
31. FROM REVENUE TO PROFIT
REQUIREMENTS
• AUTOMATED GOOGLE
ANALYTICS DATA EXPORT
• ORDER MANAGEMENT DATA
RESULT
• PROFIT MARGIN ON
CAMPAIGN LEVEL
• RETURN RATES
• REAL CLV INFO
• CUSTOMER GROUPING
#ATD2017
32. FROM REVENUE TO PROFIT
USER SEES ADVERTISING
USER COMESTO SITE
USER RETURNS TO SITE
USER SELECTS PRODUCTS
COGS
SHIPPING STATUS
RETURNS
CUSTOMER INFORMATION
UNIQUE TRANSACTION ID
USER BUYS ONLINE
ON THE WEBSITE TRANSACTION PRODUCT AND CRM DATA
PRODUCTS SOLD
REVENUE
#ATD2017
34. USER CENTRIC REPORTS
REQUIREMENTS
• USER IDENTIFICATION (CLIENT
ID) IN CUSTOM DIMENSION
• SESSION IDENTIFICATION IN
CUSTOM DIMENSION
• AUTOMATED GOOGLE
ANALYTICS DATA EXPORT
RESULT
• USER LEVEL PERFORMANCE
• USER PATTERNS AND BUCKETS
• ENHANCED CUSTOMER
RELATION MANAGEMENT
#ATD2017
39. IN A NUTSHELL
ENHANCE YOUR
WEBTRACKING DATA
(GOOGLE TAG MANAGER)
EXPORT IT TO A DATA
WAREHOUSE
(GOOGLE BIGQUERY)
ENRICH THE DATA WITH DATA
FROM OTHER SOURCES
(GOOGLE SEARCH CONSOLE)
ANALYSE AND VISUALISE IT
(GOOGLE DATASTUDIO)
#ATD2017
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard e-commerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard e-commerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Screenshots Google Data Studio
Reiseführer
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Screenshots BigQuery
Everybody loves Google Analytics
Great place:
Filters, visitor sources: Border patrol
Standard ecommerce: Shop
Visitor centre
Town hall
Aber andere sachen nicht:
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Screenshot Multiple Domains Reporting
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Screenshot Multiple Domains Reporting
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Screenshot python script, sql
Screenshot Multiple Domains Reporting
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Screenshot python script, sql
Screenshot Multiple Domains Reporting
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Screenshot python script, sql
Screenshot Multiple Domains Reporting
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data viszualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts
Screenshot python script, sql
Screenshot Multiple Domains Reporting
verschiedene Seiten vergleichen
Custom grouping of content, channels, products, users
Ogranic keyword data
Profits, revenue, returns
User centric reports
Offline marketing activity
Everything in data visualization, datastudio in our case
Journey to this place
Reiseleiter: me
Reiseutility: bigQuery
Gepäck: python, sql, javascript
Stop1: cross domain
Simple ga export to bigquery
Simple sql to datastudio
Stop 2: Custom grouping:
Example: keywords, pages
Stop 3: Organic keyword data
Example: Logic + Example
Stop 4: Profits, revenue, returns
Transaction id
Stop 5: user centric reports:
User, session, timestamp: rawdata setup in gtm
Stop 6: Offline metrics:
Tv tracking with user cohorts