Huge is a marketing and analytics firm with 1,200 employees worldwide. They help brands transform and grow business through research and analytics, strategy and planning, user experience design, creative services, technology development, and media services. Their culture emphasizes making work people love, hiring the best talent, and having fun while working on impactful projects. Analytics at Huge involves collecting and integrating data, modeling user segments, targeting and personalizing experiences, visualizing insights, and analyzing behavior to inform business strategies.
[CXL Live 16] How to Create Landing Pages That Address the Emotional Needs of...CXL
Time to one up your CRO skills. Get to know your customers better and discover key tactics to using emotional targeting and persuasion on your landing pages along with a framework and checklist for running meaningful AB tests.
Design Thinking And True Value CreationSudhir Nain
As the innovation focus expands to encompass user centred design/service design/product design, companies are asking designers to create ideas rather than to simply dress them up.
Lightweight Personas and Cheap Ass User ResearchLorelei Brown
Outlines how to do user research and develop personas on the cheap. Not exhaustive, but a great place to start if you don't have a lot of time or money.
In this presentation we explore the link between business need and customer need and how to innovate (and remove business problems or discover business opportunities) through persona creation and Design Thinking
The second lecture in the HIT Lab NZ Design Thinking class on understanding and empathising with end users.
Taught by Mark Billinghurst at the University of Canterbury on December 10th 2013.
[CXL Live 16] How to Create Landing Pages That Address the Emotional Needs of...CXL
Time to one up your CRO skills. Get to know your customers better and discover key tactics to using emotional targeting and persuasion on your landing pages along with a framework and checklist for running meaningful AB tests.
Design Thinking And True Value CreationSudhir Nain
As the innovation focus expands to encompass user centred design/service design/product design, companies are asking designers to create ideas rather than to simply dress them up.
Lightweight Personas and Cheap Ass User ResearchLorelei Brown
Outlines how to do user research and develop personas on the cheap. Not exhaustive, but a great place to start if you don't have a lot of time or money.
In this presentation we explore the link between business need and customer need and how to innovate (and remove business problems or discover business opportunities) through persona creation and Design Thinking
The second lecture in the HIT Lab NZ Design Thinking class on understanding and empathising with end users.
Taught by Mark Billinghurst at the University of Canterbury on December 10th 2013.
SOURCECON: BEST HACKS, LAUGHS, & INSIGHTS (Fall 2016)Susanna Frazier
This SlideShare overviews the best hacks, laughs, & insights from the Fall 2016 SourceCon in Anaheim.
Included:
- Highlights from all 3 tracks (Candidate Identification, Candidate Engagement, Marketing/Branding & Leadership/Strategy) - with links to session PPT presentations and some streamed videos.
- How to's
...Use the latest and greatest tools to find passive candidates and their contact details, and then engage them in a way to influence their making a change.
...Curate unstructured data points created by someone’s social footprint and analyze that data to creatively engage them in a way that separates you from the other recruiters reaching out.
...Choose when and which new Chrome Extension to use to find contact details, manipulate API’s, build customized bookmarklets, scrape the web, and hack Excel to organize and increase efficiency.
- Tools
...Dean Da Costa's top recommendations
...Susanna Conway's top 5 free recommendations
+ more!
Design Thinking: A Quick Course in Creative Problem SolvingSpring Studio
Mary Wharmby, a UX Design Director at our agency, taught at UC Berkeley’s one-day educational event RGB 2015. In this presentation, she walked students through the foundations of design thinking, from understanding your users to iterating solutions. The deck, complete with speaker notes, provides a quick snapshot of the most important principles behind using design to solve problems.
Top 5 Ways to Annoy Your Survey RespondentsQualtrics
Check out the on-demand presentation for this slide deck at: https://success.qualtrics.com/top-5-ways-to-annoy-watch.html
Maintaining strong relationships with respondents is critical to doing good research, but your survey audience is inundated by emails every day—so how do you set yourself apart and ensure that you aren’t annoying your respondents every time you contact them?
Join us for a live webinar as we discuss five ways you could be annoying your survey audience. We’ll show you how to avoiding these bad habits can increase your response rates, improve your research, and build better brand perception.
The third lecture as part of the University of Canterbury causes on Design Thinking. This lecture was taught by Mark Billinghurst on December 10th 2013 and focuses on how to create a good problem statement.
How can you design your organisation to make sense of data for better strategic decision making? In today’s Industry 4.0, many organisations aim to leverage upon vast amounts of data they are exposed to. This session harnesses the power of design thinking to give audiences the opportunity to realise the potential this methodology has regardless of the scale of data.
Aspire Professional camp - Intro to Design ThinkingTudor Juravlea
These are the supporting slides for a crash course to Design Thinking that we facilitated on 14 July 2017 at Poiana Brașov (Romania) for the ASPIRE Professional camp participants.
Visit the Design Thinking Society website for news about our learning and consultancy programs: www.designthinkingsociety.com
Join our Design Thinking Bucharest community on Meetup.com and join our meetings:
https://www.meetup.com/Design-Thinking-Bucharest/
Join our Romanian Design Thinking Group on Facebook: https://www.facebook.com/groups/design.thinking.romania/
The fourth lecture in the HITD 201 course. This lecture was taught by Mark Billinghurst at the University of Canterbury on Wednesday, December 11th 2013. It talks about how to generate problem solving ideas.
These are the supporting slides for a workshop on Design Thinking and Journey Mapping that we facilitated on 15 July 2017 at Poiana Brașov (Romania) for the ASPIRE ALUMNI camp participants.
Visit the Design Thinking Society website for news about our learning and consultancy programs: www.designthinkingsociety.com
Join our Design Thinking Bucharest community on Meetup.com and join our meetings:
https://www.meetup.com/Design-Thinking-Bucharest/
Join our Romanian Design Thinking Group on Facebook: https://www.facebook.com/groups/design.thinking.romania/
Breaking Patterns -an intro to design thinking to solve problems by Mona PatelMona Patel
Breaking Patterns
An intro to design thinking to solve problems by Mona Patel, CEO of Motivate Design and UX Hires
Patterns are like rules…
Made to be followed or broken?
Design thinking = empathy + creativity + rationality
Social media are here to stay. But how to use this rather new way of communicating to engage your peer? In this session Ruud Kessels will tell you how we do it in The Netherlands.
"Creating a proto-persona allows us to capture
our assumptions about an end-user prior to
discovering and validating her true nature
with research; however, all projects are not
created equal, and the amount and quality of
information provided up-front about users can
vary.
In this workshop, participants will learn fun,
inspirational character-building techniques
and exercises used by humorists to create
more meaningful proto-personas.
Participants will also learn how using these
techniques and exercises help to build and
internalize understanding of the end-user(s)
throughout the LeanUX process."
Source: http://leanuxnyc.co/nyc/wp-content/uploads/2014/03/LeanUX_2014_Workshops_F1.pdf from http://leanuxnyc.co/nyc/
Very brief overview of why and how to start doing UX research — in response to some common reasons "why not" to do UX research.
Delivered at UX Talks 001 in London Ontario on April 6, 2016.
Everything you ever wanted to know about Google Analytics, but were afraid to...SoCal UX Camp
Event: SoCal UX Camp 2016
Presented by: David LaFontaine
This is a hands-on exploration on how to move beyond the basics with Google Analytics. Why should designers have to deal with all these confusing spreadsheets, numbers, charts and graphs?
Well, without at least a decent grasp of how to read web analytics, creative professionals are going to continue to lose control of their creations, because to decision-makers, the charts and graphs and spreadsheets seem to be the very essence of unassailable logic. Worse,designers will lose out on the opportunity to make what their sites better, by gaining insights into the needs, desires and motivations of their users.
Too many digital experiences are being carefully crafted by UX Designers to "surprise and delight" users -- only to lose that human essence at the end, when final decisions are made, based solely upon surface-level analysis of audience behavior.
It need not be so. In fact, we desperately need to start putting the "human touch" back into what we create. Because the alternative is just so much over-processed brainmush. Slideshows, listicles and clickbait are not what we were put on this earth to create nor consume.
SOURCECON: BEST HACKS, LAUGHS, & INSIGHTS (Fall 2016)Susanna Frazier
This SlideShare overviews the best hacks, laughs, & insights from the Fall 2016 SourceCon in Anaheim.
Included:
- Highlights from all 3 tracks (Candidate Identification, Candidate Engagement, Marketing/Branding & Leadership/Strategy) - with links to session PPT presentations and some streamed videos.
- How to's
...Use the latest and greatest tools to find passive candidates and their contact details, and then engage them in a way to influence their making a change.
...Curate unstructured data points created by someone’s social footprint and analyze that data to creatively engage them in a way that separates you from the other recruiters reaching out.
...Choose when and which new Chrome Extension to use to find contact details, manipulate API’s, build customized bookmarklets, scrape the web, and hack Excel to organize and increase efficiency.
- Tools
...Dean Da Costa's top recommendations
...Susanna Conway's top 5 free recommendations
+ more!
Design Thinking: A Quick Course in Creative Problem SolvingSpring Studio
Mary Wharmby, a UX Design Director at our agency, taught at UC Berkeley’s one-day educational event RGB 2015. In this presentation, she walked students through the foundations of design thinking, from understanding your users to iterating solutions. The deck, complete with speaker notes, provides a quick snapshot of the most important principles behind using design to solve problems.
Top 5 Ways to Annoy Your Survey RespondentsQualtrics
Check out the on-demand presentation for this slide deck at: https://success.qualtrics.com/top-5-ways-to-annoy-watch.html
Maintaining strong relationships with respondents is critical to doing good research, but your survey audience is inundated by emails every day—so how do you set yourself apart and ensure that you aren’t annoying your respondents every time you contact them?
Join us for a live webinar as we discuss five ways you could be annoying your survey audience. We’ll show you how to avoiding these bad habits can increase your response rates, improve your research, and build better brand perception.
The third lecture as part of the University of Canterbury causes on Design Thinking. This lecture was taught by Mark Billinghurst on December 10th 2013 and focuses on how to create a good problem statement.
How can you design your organisation to make sense of data for better strategic decision making? In today’s Industry 4.0, many organisations aim to leverage upon vast amounts of data they are exposed to. This session harnesses the power of design thinking to give audiences the opportunity to realise the potential this methodology has regardless of the scale of data.
Aspire Professional camp - Intro to Design ThinkingTudor Juravlea
These are the supporting slides for a crash course to Design Thinking that we facilitated on 14 July 2017 at Poiana Brașov (Romania) for the ASPIRE Professional camp participants.
Visit the Design Thinking Society website for news about our learning and consultancy programs: www.designthinkingsociety.com
Join our Design Thinking Bucharest community on Meetup.com and join our meetings:
https://www.meetup.com/Design-Thinking-Bucharest/
Join our Romanian Design Thinking Group on Facebook: https://www.facebook.com/groups/design.thinking.romania/
The fourth lecture in the HITD 201 course. This lecture was taught by Mark Billinghurst at the University of Canterbury on Wednesday, December 11th 2013. It talks about how to generate problem solving ideas.
These are the supporting slides for a workshop on Design Thinking and Journey Mapping that we facilitated on 15 July 2017 at Poiana Brașov (Romania) for the ASPIRE ALUMNI camp participants.
Visit the Design Thinking Society website for news about our learning and consultancy programs: www.designthinkingsociety.com
Join our Design Thinking Bucharest community on Meetup.com and join our meetings:
https://www.meetup.com/Design-Thinking-Bucharest/
Join our Romanian Design Thinking Group on Facebook: https://www.facebook.com/groups/design.thinking.romania/
Breaking Patterns -an intro to design thinking to solve problems by Mona PatelMona Patel
Breaking Patterns
An intro to design thinking to solve problems by Mona Patel, CEO of Motivate Design and UX Hires
Patterns are like rules…
Made to be followed or broken?
Design thinking = empathy + creativity + rationality
Social media are here to stay. But how to use this rather new way of communicating to engage your peer? In this session Ruud Kessels will tell you how we do it in The Netherlands.
"Creating a proto-persona allows us to capture
our assumptions about an end-user prior to
discovering and validating her true nature
with research; however, all projects are not
created equal, and the amount and quality of
information provided up-front about users can
vary.
In this workshop, participants will learn fun,
inspirational character-building techniques
and exercises used by humorists to create
more meaningful proto-personas.
Participants will also learn how using these
techniques and exercises help to build and
internalize understanding of the end-user(s)
throughout the LeanUX process."
Source: http://leanuxnyc.co/nyc/wp-content/uploads/2014/03/LeanUX_2014_Workshops_F1.pdf from http://leanuxnyc.co/nyc/
Very brief overview of why and how to start doing UX research — in response to some common reasons "why not" to do UX research.
Delivered at UX Talks 001 in London Ontario on April 6, 2016.
Everything you ever wanted to know about Google Analytics, but were afraid to...SoCal UX Camp
Event: SoCal UX Camp 2016
Presented by: David LaFontaine
This is a hands-on exploration on how to move beyond the basics with Google Analytics. Why should designers have to deal with all these confusing spreadsheets, numbers, charts and graphs?
Well, without at least a decent grasp of how to read web analytics, creative professionals are going to continue to lose control of their creations, because to decision-makers, the charts and graphs and spreadsheets seem to be the very essence of unassailable logic. Worse,designers will lose out on the opportunity to make what their sites better, by gaining insights into the needs, desires and motivations of their users.
Too many digital experiences are being carefully crafted by UX Designers to "surprise and delight" users -- only to lose that human essence at the end, when final decisions are made, based solely upon surface-level analysis of audience behavior.
It need not be so. In fact, we desperately need to start putting the "human touch" back into what we create. Because the alternative is just so much over-processed brainmush. Slideshows, listicles and clickbait are not what we were put on this earth to create nor consume.
All Star Glass reminds all customers that the windshield plays an important role in the structural support of any vehicle. Replacement by an authorized All Star Glass technician ensures proper air bag deployment and protects passengers from flying objects in a crash. All Star Glass encourages all drivers who notice a windshield chip or crack to contact us today. One of our thirty company-owned glass centers throughout California is probably close to your location.
Formación: "¿Cómo responder a las opiniones?" para Bluebay HotelsReviewPro
Temas incluidos:
- Por qué las respuestas a las opiniones son tan importantes
- Dónde se puede responder a las opiniones
- Quién debe responder
- Cómo responder a las opiniones positivas
- Cómo responder a las opiniones negativas
- La mejor manera de recompensar a los que comentan
- Consejos básicos para responder a los comentarios
All Star Glass provides our customers with auto and truck glass replacement and repairs of the highest quality in materials, workmanship and customer satisfaction.
Design and Data Processes Unified - 3rd Corner ViewJulian Jordan
In this presentation (given in early 2020) I explain that to build digital products, data analysts/scientists and designers need to leverage each other’s processes and work as a unit.
I introduce the problem solving approach of data analysts/scientists and designers as well as how to combine these approaches. Additionally, I explain how mental models and algorithms, while associated with design and data science, respectively, are similar ways to represent phenomena and questions about them.
An effective intranet design is one that is perceived as being of value by both employees and stakeholders. There is a significant amount of planning involved when designing an intranet experience no matter if it is a new build, redesign or new feature. It typically requires cross-department collaboration, management of a multidisciplinary team and implementation, marketing/communication and training plan.
Sentient Services (Ubiquity Marketing Un Summit 2009) V1Paul Janowitz
Is Market Research Dead in a 2.0 world?
Presentation given at the Ubiquity Marketing unSummit in Austin, TX. September 3, 2009.
Covers the current state of research in a customer driven web2.0 world. Contains tips and resources for entrepreneurs to leverage free and inexpensive market research techniques.
Analytics is more than "slap on the google analytics tag and we're done". Any good Digital project starts out with a good set of Goals & Objectives...but when was the last time that you measured the result of those goals & objectives? Lean Analytics is about integrating the analytics in the whole process...from the start. In a LEAN way
How Do I Get a Job in Data Science? | People Ask Googleprateek kumar
One of the most common questions that aspiring data scientists ask is – ‘how do I get a data science job?’ There are many professionals looking to transition to data science but don’t know how. Therefore, this blog explains how you can get a data science job.
What to Know Before Applying
I want to make one thing clear at the start – getting a data science job is not easy. Sure, there are scores of openings and many companies are looking to hire data scientists so that they can gain an edge over their competitors using data.
This project is about "Big Data Analytics," and it provides a comprehensive overview of topics related to Data and Analytics and a short note on Cognitive Analytics, Sentiment Analytics, Data Visualization, Artificial intelligence & Data-Driven Decision Making along with examples and diagrams.
Data Science. Business Analytics is the statistical study of business data to gain insights. Data science is the study of data using statistics, algorithms and technology. Uses mostly structured data. Uses both structured and unstructured data.
Analytics, Search, Social Media, and Optimization: Why Has Marketing Gotten S...Kate O'Neill
From search and social media to analytics and optimization, marketing has really gotten geeky. It's nearly impossible to keep up, so what should business owners know about online marketing in order to make good decisions about their web presence? This presentation is both a broad overview of key web marketing disciplines as well as a quick dive into some of the concepts and vocabulary behind them.
Presented on Wednesday, August 18th to the Women Business Owners Special Interest Group of the Nashville Area Chamber of Commerce.
The elements of product success for designers and developersNick Myers
All software, whether it's for consumers or workers, needs to meet the ever growing demands people have in today’s world. Greater user expectations and influence are forcing companies to create and deliver better products, but not every organization has a rich heritage in software creation like tech giants Apple and Google. Most companies need to be more customer-focused, become design specialists, and transform their cultures as they shift to become both software makers and innovators.
Myers, head of design services at Cooper, will share the elements of product success that companies need to possess and be market leaders: user insight, design, and organization. Myers will share principles and techniques that successful innovative companies use to truly understand their customers. He’ll also discuss the methods effective designers use to support their customers and create breakthrough ideas and delightful experiences. And he’ll finish by sharing the magic formula organizations need to deliver ground-breaking experiences to market.
This talk was given at UX Day.
Humanizing Big Data: The Key to Actionable Customer Journey AnalyticsRocketSource
The ability to gather and act on Big Data has changed our world. For companies, this influx of information is an opportunity to understand consumers on an unprecedented level. But there's a big difference between collecting disparate data points and connecting with consumers through journey analytics.
Data Analytics Integration in OrganizationsKavika Roy
What is data analytics and how it is used by large organizations to support strategic and organizational decisions.?
Read the full article to know more
https://www.datatobiz.com/blog/integrating-data-analytics-organizations-professional/
Personalization, Going Beyond the Technology (Como envolver os clientes, sem ...E-Commerce Brasil
Edward Chenard fala sobre "Como envolver os clientes, sem deixar que a tecnologia fique no caminho da relação" no Congresso E-commerce Brasil de Experiência do Cliente 2014.
Does market information, marketing and consumer research have a role in busin...Drthomasbrand Limited
In this presentation, I review the status of information and research within companies, and discuss issues and constraints pertaining to the more effective use of information in business and marketing decision making. These touch upon the way in which research is managed in companies, as well as how it is viewed by the executive. To do it well, requires a mind-set change, even a cultural change in many executive teams and companies. Even the talk of "big data", is meaningless unless the company is receptive to the information and its eco-system is prepared for it.
Design Thinking for Data Science #StrataHadoopIntuit Inc.
O'Reilly #StrataHadoop Presentation- George Roumeliotis
This talk describes a Design Thinking methodology for tackling Data Science projects. Be warned that the talk is not about machine learning, and it is not about user interfaces. It's about being an effective Data Science practitioner. The talk was originally presented in 2015 at the O'Reilly Strata Conference in San Jose, CA, by George Roumeliotis, a Data Scientist working at Intuit.
To view the presentation, visit: http://youtu.be/LQ9HWNtlggU
Why And How to Transition into Product Management by Google PMProduct School
Nabil Shahid walks through their journey to Product Management in the world of tech, talking about how to market your skills and how to get into the industry. He also touches on balancing knowledge and personal experience with what's best for a wider user group.
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.
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.
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/
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.
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.
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).
7. Research & analytics.
Focus groups & surveys
Ethnography & usability studies
Social listening & trends spotting
Website, social & campaign analytics
Data platforms.
Strategy & planning.
Brand planning & marketing
Product strategy & business consulting
Communications planning
Search strategy (SEO, SEM)
Discipline specialists
(e.g., CRM, mobile)
User Experience.
Content strategy
Information architecture
Interaction design
Mobile experience
Creative.
Visual Design
Copywriting & editorial
Campaign development
Mobile, emerging & in-store digital
Technology.
Ecommerce
Technical leadership/architecture
User interface development
Mobile & emerging platforms
Social platforms
Rapid & enterprise development
Quality assurance & deployment
Social engagement.
Content strategy
Information architecture
Interaction design
Mobile experience
Studio.
Photography
Motion
Video creation & production
Animation & illustration
Production
Media.
Media planning
Media buying
Campaign management,
optimization & analysis
Media partnership development
Program Management.
Project management
Planning & roadmap development
Resource management
Risk mitigation
16. 1. Business Goals.
Why does this experience exist?
2. Objectives.
Specific strategies utilized to accomplish business
objectives.
4.Metrics.
Numbers.
3. KPIs.
How are we doing against objectives?
Good relationships start with good planning.
18. Collect.
Integrate online and offline data
collected throughout the user
journey.
Store.
Implement best of breed data
stores and data management
platforms.
Model.
Execute goal and need driven
segmentation and predictive
algorithms.
Target &
Personalize.
Optimize the ecosystem to
drive positive KPIs.
Visualize.
Creating interface and
user experiences through
data.
Communicate.
Build a CRM based
communication loop to
improve customer value.
Analyze.
Drive business insight
based on user behavior.
Syndicate.
Expose API to increase
secondary monetization
opportunities.
19. REACH.
LAND.
LEAD.
CONVERT.
SCORED RETARGETING
INCREASE TRAFFIC
Attribution
Marketing analytics
SEO Optimization
INCREASE ENGAGEMENT
Testing
Web analytics
Content & offer optimization
INCREASE SALES
Lead scoring
CRM analytics /data mining
Email testing and optimization
Buy-flow optimization
LOOKALIKE TARGETING
ENGAGE.
PERSONALIZATION
DATA
ANALYTICS
CALL
CENTER.
CRM
OUTBOUND EMAIL
PERSONALIZATION
3rd PARTY
DATA
28. You kind of know what we’re
talking about.
We kind of know what you’re
talking about.
29. Find common ground through beauty.
We’re all here for the same reason. It is very easy for data folks to prejudge creatives’ decisions as opinion-based and without
any empirical basis. Similarly, creative teams look — often rightfully — at analysts as mathematicians who want to optimize the
soul out of their ideas. The truth is that analysts that end up at creative agencies are there because they like creativity. Analysts
need to remember that they’re there to help create make beautiful experiences, not just a perfectly A/B tested wireframe. And
creatives need to remember that optimization need not mean losing their vision any more than a tailor destroys the vision of a
beautiful suit: The goal is to create a perfect fit for the end user.
30. Creative instincts are analytical
hypotheses in the making.
OK, basic rule: No patronizing each other. Creative teams, instead of asking for a specific analysis, ask a question you need
answered and make it clear why it’s so important. Asking for specific analysis constrains in the analyst’s own creative instincts
(yes, these do exist). Analysts need to keep in mind that there are no stupid questions in a creative process. You might think that
the answer to something is self-apparent: It’s not, or your colleague wouldn’t be asking about it. There are connections between
things like design and UX it’s hard for analysts to see because they tend to removed from the creative process. And while it’s an
analyst’s job to be objective, it can also make it easy to get all judgmental about the simplicity (or lack there of) of a specific need.
31. Don’t get pissed off.
No one wants to be told that their baby is ugly. That is equally true for both creatives and analysts. It is very easy to be defensive
if someone criticizes your work, particularly if that criticism is coming from someone with a fundamentally different worldview. In
the early part of projects, we build hypotheses built on instinct and experience. The job of an analytics team is to test those ideas
through a formalized process (we do love a good process formalization). Sometimes those hypotheses need modification in
order to adhere to user needs that might be unanticipated. It’s important to give yourself the allowance to incorporate challenges
to your core assumptions. Analysts need to keep in mind that data does always tell the full story. Not even close. Your ideas and
analysis are no more precious than those of your creative peers. Accept that the role of creative teams is to take your analysis
into account alongside multiple other inputs. My rule of thumb is that typically one-half to one-third of my most brilliant analysis
will ever be used in a specific project. Yeah, it sucks to spend hours in your data-crunching package of choice and then find out
that much of it gets left on the cutting-room floor. You know what? That happens to creatives, too.
All data driven projects include multiple different elements that are interconnected. Not all of them need to be done, but having a robust/open architecture allows you to add new components over time.
This is a common data flow for ecommerce system like this. It is more or less what we used at Fandango. If you use this you might want to have the tech director talk to it.