When we propose and implement changes to the way systems work by changing interactions, we make sure that every change to the UX/UI impacts the user but also the analyst, by providing the analyst with a new set of data. By doing this, we set grounds for constant feedback loop between designers and analysts in a way that every change should accommodate a certain pain point for the analyst.
Measuring off-site traffic - Adrian KingwellMezzo Labs
Measuring Offsite Traffic was a presentation given at Mezzo Labs' "Getting Ahead in Web Analytics" event in February 2014. Topics covered include social media monitoring, ad-server (paid media) tracking and competitor benchmarking
Digital Markeing in and Out's
Do you want more customized Professional Presentations?
Feel Free to Reach me :
https://in.linkedin.com/in/kirandeshmukh1
A presentation given to the Marketing Committee at the University of Missouri. Outlines methodology and characteristics of one2one marketing and highlights statistical improvements in ROI. Demonstrates why it matters and why educational institutions should engage in this vehicle in their marketing mix.
Increasing Audience Engagement - Chris MossMezzo Labs
Chris Moss, Audience Optimisation Manager at Telegraph Media Group, gave this presentation at Mezzo Labs' "Disruptive Technology in Web Analytics" event in September 2014.
Measuring off-site traffic - Adrian KingwellMezzo Labs
Measuring Offsite Traffic was a presentation given at Mezzo Labs' "Getting Ahead in Web Analytics" event in February 2014. Topics covered include social media monitoring, ad-server (paid media) tracking and competitor benchmarking
Digital Markeing in and Out's
Do you want more customized Professional Presentations?
Feel Free to Reach me :
https://in.linkedin.com/in/kirandeshmukh1
A presentation given to the Marketing Committee at the University of Missouri. Outlines methodology and characteristics of one2one marketing and highlights statistical improvements in ROI. Demonstrates why it matters and why educational institutions should engage in this vehicle in their marketing mix.
Increasing Audience Engagement - Chris MossMezzo Labs
Chris Moss, Audience Optimisation Manager at Telegraph Media Group, gave this presentation at Mezzo Labs' "Disruptive Technology in Web Analytics" event in September 2014.
This presentation by Romain Ammar was given at Mezzo Labs' "Getting Ahead at Web Analytics" event in February 2014. The presentation covers web analytics and tag management solutions
See how TC Media helped a major Canadian retailer acquire new subscribers and increase engagement by providing subscribers relevant timely communication.
Sponsor Breakfast Presentation: Customer State & The Challenge of Real Time M...MediaPost
Consumer behavior and expectations are changing faster than marketers can react. Don't miss this opportunity to learn what these changes mean to us as marketers and how we need to think about our customer interactions and relationships in the future.
Sponsor Breakfast Presentation: Customer State & The Challenge of Real Time M...MediaPost
Consumer behavior and expectations are changing faster than marketers can react. Don't miss this opportunity to learn what these changes mean to us as marketers and how we need to think about our customer interactions and relationships in the future.
For those companies looking to improve personalization, success depends upon both technology and technique. Enterprise personalization done well will be a key differentiator in this age of the consumer, but given the overwhelming volumes of digital data flowing into your organization, it is not easy. Learn the three key ingredients needed to drive personalization and ultimately increase customer engagement.
This presentation was given by Susan Connors, Quaero's EVP of Consumer Solutions, at NEDMA's 2014 Marketing Technology Summit.
Why personalization important for fintech enterprises? JK Baseer
How does personalization can help to achieve 1:1 people based marketing through personalised contents and offers thus achieving seamless experience for end users and return on investment for every users who is onboarding the website or product.
Ps: Presentation prepared for a banking company.
AUBG Lecture - Data & Analytics - Importance of data.pptxYasen4
Lecture at the American University in Bulgaria talking about the concept of the T-shaped marketer and the importance of data in making informed decisions.
This presentation by Romain Ammar was given at Mezzo Labs' "Getting Ahead at Web Analytics" event in February 2014. The presentation covers web analytics and tag management solutions
See how TC Media helped a major Canadian retailer acquire new subscribers and increase engagement by providing subscribers relevant timely communication.
Sponsor Breakfast Presentation: Customer State & The Challenge of Real Time M...MediaPost
Consumer behavior and expectations are changing faster than marketers can react. Don't miss this opportunity to learn what these changes mean to us as marketers and how we need to think about our customer interactions and relationships in the future.
Sponsor Breakfast Presentation: Customer State & The Challenge of Real Time M...MediaPost
Consumer behavior and expectations are changing faster than marketers can react. Don't miss this opportunity to learn what these changes mean to us as marketers and how we need to think about our customer interactions and relationships in the future.
For those companies looking to improve personalization, success depends upon both technology and technique. Enterprise personalization done well will be a key differentiator in this age of the consumer, but given the overwhelming volumes of digital data flowing into your organization, it is not easy. Learn the three key ingredients needed to drive personalization and ultimately increase customer engagement.
This presentation was given by Susan Connors, Quaero's EVP of Consumer Solutions, at NEDMA's 2014 Marketing Technology Summit.
Why personalization important for fintech enterprises? JK Baseer
How does personalization can help to achieve 1:1 people based marketing through personalised contents and offers thus achieving seamless experience for end users and return on investment for every users who is onboarding the website or product.
Ps: Presentation prepared for a banking company.
AUBG Lecture - Data & Analytics - Importance of data.pptxYasen4
Lecture at the American University in Bulgaria talking about the concept of the T-shaped marketer and the importance of data in making informed decisions.
Elevating customer analytics - how to gain a 720 degree view of your customerActian Corporation
big data creates significant opportunities for marketers. Using big data analytics tools, marketers can improve decision making, deliver better value for their marketing spend, create truly personalized customer experiences, and understand their audience at the level of each individual consumer.
Computational Marketing at Groupon - JCSSE 2017Clovis Chapman
14th International Joint Conference on Computer Science and Software Engineering Keynote: With over 50 million active customers, Groupon is one of the largest e-commerce sites in the world. Now offering over 500,000 deals daily, it has grown into a large marketplace aiming to connect customers to local deals through a variety of marketing channels. In order to achieve this, Groupon has had to develop sophisticated web based marketing processes.This talk will discuss the concept of Computational Marketing. Computational marketing is an emerging scientific discipline. It's central challenge is to find the best match between a given user in a given context and a suitable advertisement in order to provide advertisements that are contextually relevant and likely to lead to a purchase. With hundreds of thousands of events being generated per second, in the form of clicks, purchases, page impressions, etc. on all Groupon properties worldwide, being able to process these in real time in order to develop some instantaneous insights can provide a significant leg up over the competition.
Next-best offer refers to the use of predictive analytics solutions to identify the products or services your customers are most likely to be interested in for their next purchase.
Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. This presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
Getting Actionable Insights with Google Analytics - Webinar ReapDigital
Learn how Customizing google analytics setup to meet your business needs can help you optimize marketing campaigns, get insights to improve user experience, understand the customer journey and to get actionable business insights.
Take a closer look at real life examples of business that has won their domain with analytics insights.
Google Analytics For Enhanced Marketing MeasurementDigital Vidya
Care about how to make 'Google Analytics For Enhanced Marketing Measurement' You will find this deck presented by Swapnil Sinha, Head of Conversions, Google India during Webinar for Digital Vidya. Interested in attending similar Webinar Live? Register Now at http://www.digitalvidya.com/webinars/
The Age Of New Reality Marketing V5.1 FinalTony Mooney
It\'s been a bug-bear of mine for many years that the average marketing skill set has not moved on very much from the 1960\'s model of 4 \'P\'s (Product, Price, Promotion, Place). Or that marketing is still largely synonomous with advertising - and spam advertising at that. This is a presentation I did to a marketing forum out in Singapore, where I\'ve tried to outline the new capabilities of the marketer of the 21st century. I also postulate the (controversial) perspective that a chunk of this new capability - especially around data and decisioning - might be better out sourced, leaving the internal marketing skills to be concentrated on strategy and proposition. See what you think. [Sorry you won\'t have my spoken narrative just yet but the slides are reasonably self explanatory]
Designing Outcomes For Usability Nycupa Hurst FinalWIKOLO
MarkoHurst.com :: My topic of discussion at the Feb 17 2009 NYC UPA.
Even as the pace of society, business, and the Internet continue to increase, many budgets and time lines continue to decrease. To compound this issue, there is a serious disconnect between business goals, user goals, and what visitors actually do on your site. UX practitioners need a simple and efficient way to reconcile these diverse needs while taking action on their data. Join us to learn about a new method for incorporating quantitative data such as web analytics and business intelligence into your qualitative user experience deliverables: personas, wireframes, and more. This presentation will include discussions of online business models, feedback loops for ensuring cross-discipline collaboration, and ongoing revisions.
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
Mohanbir Sawhney, Robert R. McCormick Tribune Foundation Clinical Professor of Technology Kellogg School of Management, Northwestern University presents at the 2012 Big Analytics Roadshow.
Companies are drinking from a fire hydrant of data that is too big, moving too fast and is too diverse to be analyzed by conventional database systems. Big Data is like a giant gold mine with large quantities of ore that is difficult to extract. To get value out of Big Data, enterprises need a new mindset and a new set of tools. They also need to know how to extract actionable insights from Big Data that can lead to competitive advantage. The Big Story of Big Data is not what Big Data is, but what it means for business value and competitive advantage.... read more: http://www.biganalytics2012.com/sessions.html#mohan_sawhney
How to predict the future of shopping - Ulrich Kerzel @ PAPIs ConnectPAPIs.io
Shopping, or as the people on the other side of the counter call it, retail has become the number one breeding ground for predictive applications in the enterprise. What started as simple recommendation engines has evolved into a complex and powerful ecosystem of predictive applications that affect core processes such as pricing, replenishment and staff planning. In this talk, Ulrich Kerzel will share impact and experiences from building and operating predictive applications for large retailers, and explain why the future of retail is as much a science as an art.
Dr. Ulrich Kerzel is a Senior data scientists at Blue Yonder and renowned scientist with research experience at the University of Cambridge and CERN. Ulrich Kerzel earned his PhD under Professor Dr Feindt at the US Fermi National Laboratory and at that time made a considerable contribution to core technology of NeuroBayes. After his PhD, he went to the University of Cambridge, were he was a Senior Research Fellow at Magdelene College. His research work focused on complex statistical analyses to understand the origin of matter and antimatter using data from the LHCb experiment at the Large Hadron Collider at CERN, the world’s biggest research institute for particle physics. He continued this work as a Research Fellow at CERN before he came to Blue Yonder as a senior data scientist.
Similar to Granular @ superweek2020 a decision-making model for an event-based world (20)
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.
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).
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.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
2. Event-based world: a decision-making model
Segment by data classification
In GA there are ≈270 (GA 360 ≈470) dimensions
Cambridge Analytica used ≈2000 data points
3. Event-based world: a decision-making model
How to create more data classification?
Segment by data classification
4. Event-based world: a decision-making model
Two principles of digital measurement
1. The assumption that people’s consumption choices are
intentional - people consume what they want to consume
2. The assumption that people’s preferences are (relatively)
stable
Gary Angel - Measuring the digital world
5. Event-based world: a decision-making model
Most common classification strategies
• Site taxonomy
• Product taxonomy
• Functional taxonomy
• Topic taxonomy
• Audience
• Sales stage
6. Event-based world: a decision-making model
Your new mantra
The richer your classifications, the better your segmentations.
7. Event-based world: a decision-making model
Audience classification examples
Understanding users and personalization
Event based world examples
BUSINESS
USERS
ANALYST
11. Event-based world: a decision-making model
User Business Marketing/Analytics
Better understanding of
programmes
Less cognitive load
More structured market
demand
Better understanding of their
business position
CRO insights
Audience interests
Personalization
12. Event-based world: a decision-making model
Example - Travel industry E-commerce
Increase direct bookings
14. Event-based world: a decision-making model
User Business Marketing/Analytics
Discount
Ability to help
More bookings
Service feedback
Audience use cases
Brand awareness
Site usability
15. Event-based world: a decision-making model
Example - E-commerce wholesale
Information structure
16. Event-based world: a decision-making modelEvent-based world: a decision-making model
17. Event-based world: a decision-making modelEvent-based world: a decision-making model
18. Event-based world: a decision-making modelEvent-based world: a decision-making model
19. Event-based world: a decision-making model
User Business Marketing/Analytics
Save money/time Understading of market
demand
Audience use cases
Content prioritization
Focused Ads campaigns
20. Event-based world: a decision-making modelEvent-based world: a decision-making model
21. Event-based world: a decision-making modelEvent-based world: a decision-making model
22. Event-based world: a decision-making modelEvent-based world: a decision-making model
23. Event-based world: a decision-making modelEvent-based world: a decision-making model
