Organizations of every size have access to data dashboard technology, yet none of the solutions have delivered on their hype and right now across the world executives and analysts are staring at a dashboard and thinking the same thing, ""so what?""
The failure of dashboards to deliver meaningful insights is inherent in their simplicity: they only show surface level information, and not the relationships between data points that really drive the fate of your organization.
But all is not lost! By combining the right mix of technology and human expertise in business strategy, research and data mining you can embrace the smart analytics movement, and start accessing insights that grow your company and your competitive position.
You can watch the accompanying webinar here: https://youtu.be/RdOcPxv9wLs
This presentation analyzes the article "Stop Searching for That Elusive Data Scientist" by Michael Schrage. He emphasizes that the industry must stop looking for a perfect data scientist and instead empower its own team.
Seminar on Big Data : Current Trends and Technology Landscape
Event Details:
Introduction to Big Data - Bijilash Babu, EY. (10:00 AM - 10:40 AM)
What is Big Data?
Why is it relevant?
Leveraging value from Big Data
Big Data Analytics
A Data-driven world
Data is becoming an engine for many businesses in the information age, and every company needs to consider look at how that feels in their business model.
This an introductory guest lecture for students at Stockholm School of Entrepreneurship.
Grow Your Own - How to Create a Data Culture at Your OrganizationLuciano Pesci, PhD
80% of data projects fail. How can something so promising be failing so badly? While organizations are scrambling to stay competitive by hiring data-talent, they don't fully understand the types available, how to integrate them into existing workflows, what to expect from their efforts, and how to gauge success.
You can watch the accompanying Webinar here: https://youtu.be/MUv-tqMHbvs
Strata Data Conference 2019 : Scaling Visualization for Big Data in the CloudJaipaul Agonus
This deck deals with scaling visualizations for big data in the cloud.
Approaching this problem on two fronts, beginning on the engineering side of things, looking at different scaling strategies that can be used on cloud resources.
Then about strategies that we use for turning data into visualizations and the usage of proven visualization blueprints for market surveillance.
Creating a Data-Driven Organization, Crunchconf, October 2015Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
This presentation analyzes the article "Stop Searching for That Elusive Data Scientist" by Michael Schrage. He emphasizes that the industry must stop looking for a perfect data scientist and instead empower its own team.
Seminar on Big Data : Current Trends and Technology Landscape
Event Details:
Introduction to Big Data - Bijilash Babu, EY. (10:00 AM - 10:40 AM)
What is Big Data?
Why is it relevant?
Leveraging value from Big Data
Big Data Analytics
A Data-driven world
Data is becoming an engine for many businesses in the information age, and every company needs to consider look at how that feels in their business model.
This an introductory guest lecture for students at Stockholm School of Entrepreneurship.
Grow Your Own - How to Create a Data Culture at Your OrganizationLuciano Pesci, PhD
80% of data projects fail. How can something so promising be failing so badly? While organizations are scrambling to stay competitive by hiring data-talent, they don't fully understand the types available, how to integrate them into existing workflows, what to expect from their efforts, and how to gauge success.
You can watch the accompanying Webinar here: https://youtu.be/MUv-tqMHbvs
Strata Data Conference 2019 : Scaling Visualization for Big Data in the CloudJaipaul Agonus
This deck deals with scaling visualizations for big data in the cloud.
Approaching this problem on two fronts, beginning on the engineering side of things, looking at different scaling strategies that can be used on cloud resources.
Then about strategies that we use for turning data into visualizations and the usage of proven visualization blueprints for market surveillance.
Creating a Data-Driven Organization, Crunchconf, October 2015Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
THIRUVANANTHAPURAM, JULY 19:
Marlabs, a Bangalore-based provider of IT services, is sponsoring a ‘Business Intelligence Technology’ conference at the Thiruvananthapuram Technopark on Friday.
The event will focus on emerging trends in Business Intelligence (BI) Technology, a Marlabs spokesman said.
It will feature eminent speakers from leading information technology companies including Marlabs, Infosys, UST Global, NeST and Kreara.
The conference will discuss latest developments in emerging BI areas such as predictive analytics, Big Data, mobile BI, social BI and advanced visualisations. It will also highlight the growing job opportunities for newly graduated software professionals in the Tier II and Tier III cities.
These are slides from Ellen Wagner\'s featured theme presentation Making Learning Analytics Matter in the Educational Enterprise from Blackboard World 2012, New Orleasn, LA, July 12, 2012
Baking analytics into the culture of an organization is not always the easiest thing because it doesn't come intuitively to humans. This presentation was given at Kumpul co-working space in Sanur, Bali and it involves a sharing of my team's experience in building a data-driven culture at TradeGecko.
Big Data Day LA 2016/ Data Science Track - The Right Tool for the Job: Guidel...Data Con LA
The goal of this talk to lay out a framework for what algorithms work best in which situations, and why. Drawing on results of hundreds of crowd-sourced predictive modeling contests, this talk shows examples of how structure informs a choice in algorithm. As an illustration of these concepts, ZestFinance's work with China's retail giant, JD.com is used to describe how the right algorithms were applied to the right datasets to turn shopping data into credit data -- creating credit scores from scratch.
Data scientists and IT push the limits of what's possible -- whether that's operating more efficiently, taking advantage of new opportunities, or innovating. Here are 5 ways businesses can boost their effectiveness.
For more: http://blog.tyronesystems.com/
How CIOs are thinking about big data and the major opportunities, challenges and threats they face in managing the analytics unstructured information. Based on a survey of Canadian IT leaders
Welcome to the Chief Analytics Officer Forum Europe
On 7th – 9th March 2016, over 80 Chief Analytics Officers and senior analytics leaders met in London for intimate, top-level discussions; dissecting the role of the CAO, exploring innovative case studies and addressing mutual cross-industry challenges. To learn more, visit http://www.caoforumeurope.com/
This event is organised by http://coriniumintelligence.com/
Washington dc tableau user group presented by rishi bhatnagar of syntelli s...Syntelli Solutions
Mr. Rishi Bhatnagar gave an interesting talk on Analytics titled 'Its About Analytics, Stupid' at Washington DC Tableau User Group held in DC Downtown on August 15, 2012. Mr. Bhatnagar is a regular speaker at Tableau and other User Groups.
Syntelli Solutions consults in all analytics products and solutions such as Vertica, Hadoop, TIBCO-Spotfire and Tableau Software. We train in Spotfire and Tableau, we can provide performance tuninng services for Tableau Software and for TIBCO Spotfire.
Our Analytics/Tableau and Spotfire services are spread across the United States with focus on East Coast and Southern United States.
We also have significant experience in doing Predictive Modeling work with Oracle Crystal Ball and have integrated Crystal Ball with Tableau Software and with Spotfire.
We are also resellers of these solutions, so please contact us for buying Tableau Licenses or for buying Spotfire licenses.
Which is the primary key which unlocks the value of the Big Data? In a world awash with data, I argue in this presentation that narratives play a crucial role in making sense of the information. I look at the role of narratives in the data-scarce paradigm and look at some familiar consulting narratives. I then examine the implications of such narratives and look at how these narratives would change in the emerging data-ubiquity paradigm
Panelists from a large company, a small company and a software consulting firm will share insights on how their companies are tackling the arena of Big Data and how to leverage a variety of data sources for strategic decision-making.
This presentation offers a basic understanding of Big Data. It does this by defining Big Data, offers a History of Big Data, Big Data by the Numbers and the 8 Laws of Big Data
In times of digitalization, every aspect of our life is connected to data. To leverage this data, companies need to understand and master analytics. In this presentation, Leo Marose will guide you through the world of big data & data science and show you his approach of how to build a data-driven organization.
These are the slides from the Gramener webinar conducted on 16-Jan-2020.
- What skills & roles will help you deliver your analytics and data visualization projects?
- What skills do most teams miss to hire for?
In a Gartner survey, CIOs reported 'team skills' as their biggest barrier ⚠️ to data science. They have trouble deciding the skill mix ⚗️needed or in finding the right people for the job.
This webinar will show the skills and roles you must plan for. You will learn how to tailor this based on your organization's data maturity. It will help you decide whether to upskill teams or hire externally. The session will show you how and where to find talent.
Throughout the webinar you will learn:
- Critical skills & roles needed in your data science team?
- Tips for data science hiring. What aspirants should know about the jobs?
- Insights presented using real-world examples
Creating a Data-Driven Organization, Data Day Texas, January 2016Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
THIRUVANANTHAPURAM, JULY 19:
Marlabs, a Bangalore-based provider of IT services, is sponsoring a ‘Business Intelligence Technology’ conference at the Thiruvananthapuram Technopark on Friday.
The event will focus on emerging trends in Business Intelligence (BI) Technology, a Marlabs spokesman said.
It will feature eminent speakers from leading information technology companies including Marlabs, Infosys, UST Global, NeST and Kreara.
The conference will discuss latest developments in emerging BI areas such as predictive analytics, Big Data, mobile BI, social BI and advanced visualisations. It will also highlight the growing job opportunities for newly graduated software professionals in the Tier II and Tier III cities.
These are slides from Ellen Wagner\'s featured theme presentation Making Learning Analytics Matter in the Educational Enterprise from Blackboard World 2012, New Orleasn, LA, July 12, 2012
Baking analytics into the culture of an organization is not always the easiest thing because it doesn't come intuitively to humans. This presentation was given at Kumpul co-working space in Sanur, Bali and it involves a sharing of my team's experience in building a data-driven culture at TradeGecko.
Big Data Day LA 2016/ Data Science Track - The Right Tool for the Job: Guidel...Data Con LA
The goal of this talk to lay out a framework for what algorithms work best in which situations, and why. Drawing on results of hundreds of crowd-sourced predictive modeling contests, this talk shows examples of how structure informs a choice in algorithm. As an illustration of these concepts, ZestFinance's work with China's retail giant, JD.com is used to describe how the right algorithms were applied to the right datasets to turn shopping data into credit data -- creating credit scores from scratch.
Data scientists and IT push the limits of what's possible -- whether that's operating more efficiently, taking advantage of new opportunities, or innovating. Here are 5 ways businesses can boost their effectiveness.
For more: http://blog.tyronesystems.com/
How CIOs are thinking about big data and the major opportunities, challenges and threats they face in managing the analytics unstructured information. Based on a survey of Canadian IT leaders
Welcome to the Chief Analytics Officer Forum Europe
On 7th – 9th March 2016, over 80 Chief Analytics Officers and senior analytics leaders met in London for intimate, top-level discussions; dissecting the role of the CAO, exploring innovative case studies and addressing mutual cross-industry challenges. To learn more, visit http://www.caoforumeurope.com/
This event is organised by http://coriniumintelligence.com/
Washington dc tableau user group presented by rishi bhatnagar of syntelli s...Syntelli Solutions
Mr. Rishi Bhatnagar gave an interesting talk on Analytics titled 'Its About Analytics, Stupid' at Washington DC Tableau User Group held in DC Downtown on August 15, 2012. Mr. Bhatnagar is a regular speaker at Tableau and other User Groups.
Syntelli Solutions consults in all analytics products and solutions such as Vertica, Hadoop, TIBCO-Spotfire and Tableau Software. We train in Spotfire and Tableau, we can provide performance tuninng services for Tableau Software and for TIBCO Spotfire.
Our Analytics/Tableau and Spotfire services are spread across the United States with focus on East Coast and Southern United States.
We also have significant experience in doing Predictive Modeling work with Oracle Crystal Ball and have integrated Crystal Ball with Tableau Software and with Spotfire.
We are also resellers of these solutions, so please contact us for buying Tableau Licenses or for buying Spotfire licenses.
Which is the primary key which unlocks the value of the Big Data? In a world awash with data, I argue in this presentation that narratives play a crucial role in making sense of the information. I look at the role of narratives in the data-scarce paradigm and look at some familiar consulting narratives. I then examine the implications of such narratives and look at how these narratives would change in the emerging data-ubiquity paradigm
Panelists from a large company, a small company and a software consulting firm will share insights on how their companies are tackling the arena of Big Data and how to leverage a variety of data sources for strategic decision-making.
This presentation offers a basic understanding of Big Data. It does this by defining Big Data, offers a History of Big Data, Big Data by the Numbers and the 8 Laws of Big Data
In times of digitalization, every aspect of our life is connected to data. To leverage this data, companies need to understand and master analytics. In this presentation, Leo Marose will guide you through the world of big data & data science and show you his approach of how to build a data-driven organization.
These are the slides from the Gramener webinar conducted on 16-Jan-2020.
- What skills & roles will help you deliver your analytics and data visualization projects?
- What skills do most teams miss to hire for?
In a Gartner survey, CIOs reported 'team skills' as their biggest barrier ⚠️ to data science. They have trouble deciding the skill mix ⚗️needed or in finding the right people for the job.
This webinar will show the skills and roles you must plan for. You will learn how to tailor this based on your organization's data maturity. It will help you decide whether to upskill teams or hire externally. The session will show you how and where to find talent.
Throughout the webinar you will learn:
- Critical skills & roles needed in your data science team?
- Tips for data science hiring. What aspirants should know about the jobs?
- Insights presented using real-world examples
Creating a Data-Driven Organization, Data Day Texas, January 2016Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
Big Data & Marketing Analytics - How to Use Available Data, and How to Prepar...Luciano Pesci, PhD
Marketers have more data available than ever before, and even more is on the way. Learn how to use that information to connect with your customer and beat your competition.
Building a Data Culture at Your Organization - Dawn of the Data Age Lecture S...Luciano Pesci, PhD
90% of all the data in existence was generated in the last 2 years and the pace is accelerating (really fast). Yet this data seems to be drowning organizations and 80% of all data projects are currently failing. This means that organizations who successfully use their data are in possession of a major competitive advantage. But it won't last, and eventually, everyone will be expected to have broad data literacy, just like the need to know how to type or making copies.
This Lecture Will:
-TEACH YOU THE STATE OF DATA TODAY WITH EXAMPLES OF FAILURE & SUCCESS
-EXPLAIN THE 4 DIFFERENT TYPES OF DATA SCIENTISTS AND THEIR TOOLS
-OUTLINE EFFECTIVE DATA SCIENCE TEAMS, ALONG WITH THEIR COST
-SHOW YOU HOW TO BUILD A DATA CULTURE AT YOUR ORGANIZATION
You can watch this webinar here: https://youtu.be/KMMvChAYV2g
Competitive Intelligence is critical to any company striving to make their product deliver the value customers expect. As a Product Manager, you want to keep a holistic view of both your client’s opinion, desire and thoughts on new development, combined with a perspective on what your competition will be up to next. After all, the competition has smart Product Managers who may have discovered an important service or product angle those customers are going to want.
With social media in a mature phase, can’t you just rely on Twitter Feeds, news aggregators, and information from the odd LinkedIn Group? Is that enough? What else should you be doing to stay ahead of you competitors?
Join our guest speaker, Zena Applebaum, of Bennet Jones LLP, for a practical discussion about where to look for competitive intelligence (ethically), how to collect it, the questions you should be asking, who to ask, and how best to use the intel once you have it
Intro to Artificial Intelligence w/ Target's Director of PMProduct School
Given that Machine Learning (ML) is on every product enthusiast’s mind, this talk gave a broad view of the investment landscape for future innovation. Director of Product Management at Target, Aarthi Srinivasan, talked about macro AI themes & trends, how you can build your AI team and how to create a ML backed product vision.
Additionally, this talk armed the attendees with enough information to create your Point of View (POV) on how to incorporate AI into your business.
I presented this at ICT Spring Europe 2015 in Luxembourg. The presentation highlights the way in which big data investments are not always delivering on their promise and why brands should consider taking a 'human-centred' approach to big data analytics.
Huntel global webinar aligning data talent with your analytics needsHuntel Global
Learn about the importance of data, analytics, and talent search. We'll explore the answers to:
• Where are you along the analytics continuum?
• Do you have a plan to getting the most out of your mountain of data?
• Do you know what questions you want to answer and what metrics will drive the answers?
• Have you ever had trouble with finding the right talent for your data analytics objective or initiative?
• Where do you go for help?
The Analytics Stack Guidebook (Holistics)Truong Bomi
Chapter 1: High-level Overview of an Analytics Setup
Chapter 2: Centralizing Data
Chapter 3: Data Modeling for Analytics
Chapter 4: Using Data
+++
Trích lời Huy - tác giả cuốn sách, co-founder & CTO của Holistics
+++
"Làm thế nào để thiết kế hệ thống BI stack phù hợp cho công ty mình?"
Có bao giờ bạn được công ty giao nhiệm vụ set up hệ thống BI/analytics stack cho công ty, rồi đến khi lên mạng google thì tá hoả vì mỗi bài viết, mỗi người bạn khác nhau lại khuyên bạn nên sử dụng một bộ công cụ/công nghệ khác nhau? ETL hay ELT, Hadoop hay BigQuery, Data Warehouse hay Data Lake, ...
Rồi bạn thắc mắc: Thiết kế một hệ thống analytics stack như thế nào là phù hợp với nhu cầu hiện tại của công ty mình? Làm thế nào để bắt đầu nhanh nhưng vẫn có thể scale được (mà không phải đập đi xây lại) khi nhu cầu dữ liệu tăng cao?
Thay vì chín người mười ý, bạn ước giá mà có 1 tấm bản đồ (map) có thể giúp bạn định vị được trong thế giới BI/analytics phức tạp này. Một tấm bản đồ cho bạn thấy các thành phần khác nhau của mỗi hệ thống BI là gì, lắp ráp nó lại như thế nào, và tradeoff giữa các cách tiếp cận khác nhau là sao.
Well, sau 2 tháng trời cực khổ thì team mình đã vẽ ra tấm bản đồ đó trong hình dạng một.. cuốn sách:
"The Analytics Setup Guidebook: How to build scalable analytics & BI stacks in modern cloud era."
Cuốn sách là một crash-course để bạn có thể trở thành một "part-time data architect", giúp bạn hiểu được rõ hơn về landscape analytics phức tạp hiện nay.
Sách giải thích high-level overview của một hệ thống analytics ntn, các thành phần tương tác với nhau ra sao, và đi sâu vào đủ chi tiết của những thành phần cũng như best practices cuả nó.
Cuốn sách được viết dành cho các bạn hơi technical được nhận nhiệm vụ phụ trách hệ thống analytics của công ty mình. Bạn có thể là một data analyst đang làm BI, software engineer được kêu qua hỗ trợ làm data engineering, hoặc đơn giản là 1 Product Manager đang thắc mắc sao quy trình data công ty mình chậm quá...
Cuốn sách cũng có những phần chia sẻ nâng cao như Data Modeling, BI evolution phù hợp với các bạn đã có kinh nghiệm làm BI lâu đời.
This presentation is prepared by one of our renowned tutor "Suraj"
If you are interested to learn more about Big Data, Hadoop, data Science then join our free Introduction class on 14 Jan at 11 AM GMT. To register your interest email us at info@uplatz.com
Great Data Delivery: A model-based approachZach Taylor
Great data strategies focus on delivery. The presentation will discuss:
- The importance of how data is delivered to driving user adoption of data-driven behavior
- Strategies for creating data driven organizations
- A model-based approach to supporting self-service analytics and ending "data breadlines"
- User experience design for data teams creating a data product for their organizations
Similar to Dashboards are Dumb Data - Why Smart Analytics Will Kill Your KPIs (20)
Lifetime Value - The Only Metric That Matters (DMC September 2018)Luciano Pesci, PhD
Lifetime value (LTV) is the single most impactful metric for marketers to know since 20% of customers predictably contribute 80% of the total lifetime value. To understand this "Pareto Persona" you need to map data from every touchpoint in the customer journey, break down internal data silos, and adopt powerful frameworks like LTV for organizing & explaining data.
With lifetime value, you can optimize cost of acquisition decisions based on a persona that will have the highest satisfaction, longest lifecycle, and greatest likelihood to recommend you to their network. As a bonus, your product, sales, and customer experience teams will also benefit from knowing lifetime value, making you the hero of the day for delivering unparalleled ROI with data (possibly for the first time in your organization's history).
You can watch this presentation here: https://youtu.be/6x3Z7uRtvFc
This crypto economics crash course is meant to take someone with little or no understanding of crypto, and turn them into an armchair expert in the social and technological impact of cryptocurrencies and their blockchain based substitutes.
These slides cover all three parts of the crash course:
[Part 1] - Intro to Crypto (Slides 1-23)
[Part 2] - Tokenomics Isn't Crypto Economics (Slides 24-41)
[Part 3] - Next Frontier for Crypto Economics (Slides 42-61)
Watch the crash course videos here: https://goo.gl/YTmW2g
Welcome To The Data Age - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Over the last year, this lecture series has focused on how data & research are impacting organizations and their various departments. From defining a data culture, showing agile research methods, providing theoretical frameworks, and data-driving processes galore, we did this to paint a picture of what the data age is during its passing nascent moment. Yet the most exciting part of our data story is about what will happen next and how it will help create a future beyond anyone's imagination.
This Lecture Will:
-TEACH THE BENEFITS OF THE DATA AGE.
-SHOW HOW DATA IS TRANSFORMING THE WORLD.
-EXPLAIN WHAT'S ON THE DATA HORIZON.
You can watch this lecture here: https://youtu.be/EfFszR23bVw
Think Like An Economist - Dawn Of The Data Age Lecture SeriesLuciano Pesci, PhD
Economics is the sexiest job of the 21st century (despite what those data scientists say). That's because thinking like an economist means combining systems theory about technology and human behavior with data science and (agile) market research to find truly predictive business models. By estimating parameters through econometric research and simulating outcomes with agent-based modeling, applied economics will prove to be the main differentiator between organizations that survive the digital transformation (which is currently underway) and those who die before a new era of human prosperity and business begins.
This Lecture Will:
-TEACH THE BENEFITS OF USING ECONOMICS IN BUSINESS.
-SHOW ECONOMIC APPROACHES YOU CAN USE NOW.
-EXPLAIN HOW TO START THINKING LIKE AN ECONOMIST.
You can watch this lecture here: https://youtu.be/G29eZIeWljc
Identifying Personas With Agile Research - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
How well do you know your customer? The typical response is "pretty well" but this needs an asterisk because it's always insight about the average and not the individual customer. Yet there's a huge difference between the personal experience of any one customer and the average. Thankfully, personas are a framework that can help you bridge the divide and understand individual customers. But building persons requires good data, especially about behavioral choice motivators. With the right agile research sprint and a little bit of applied economics, you can collect this information and build personas with predictable (positive) impact.
This Lecture Will:
-TEACH THE BENEFITS OF USING PERSONAS.
-SHOW PERSONA TEMPLATES & THEIR DATA.
-EXPLAIN HOW TO CREATE BEHAVIORAL PERSONAS.
You can watch this lecture here: https://youtu.be/O3rcxW82-BY
Data Mapping Customer Touchpoints - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
How are you touching your customer? Most organizations can’t answer this question because they don’t know what the individual touchpoints are, which means assessing the sum total of their impact is impossible. This is because touchpoints with the customer happen across departmental silos, so their effect either goes unmapped (in total) or the data from each touchpoint is limited to department-level strategy. To create a complete customer touchpoint map you have to bridge departmental divides and share information, allowing you to optimize the customer experience by understanding the complete journey from the customer’s perspective.
This Lecture Will:
-TEACH THE BENEFITS OF MAPPING CUSTOMER TOUCHPOINTS.
-SHOW A TOUCHPOINT MAP USING THE CUSTOMER JOURNEY.
-EXPLAIN HOW TO START MAPPING YOUR CUSTOMER TOUCHPOINTS.
You can watch this lecture here: https://youtu.be/nwDfvU-PKsM
Creating Data Driven Customer Profiles - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Personalization is consistently ranked as one of the most important things customers want in a product or service. To successfully move beyond an average understanding of who your customers are, you need data-driven profiles. The more customer data you can gather for creating these profiles, the more accurate they can be using advanced analytics like clustering. But beyond the fancy math, with these data-driven profiles you can deliver the personalization your customers crave while making your organization more profit.
This Lecture Will:
-TEACH THE BENEFITS OF PROFILING YOUR CUSTOMERS.
-SHOW METRICS FOR CREATING ACCURATE PROFILES.
-EXPLAIN ANALYTICS USED TO CREATE DATA-DRIVEN PROFILES.
You can watch this lecture here: https://youtu.be/g7SM9USK448
Sales Hacks with Market Research - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Sales is essentially a human-to-human process that often happens through written or spoken communication. In the absence of automation, this can make data-driven strategies hard for sales teams to embrace since it requires a continued effort to manually enter data into the CRM (without human error). The resulting data quality issues also mean it’s hard to build the kind of predictive models that are available to other departments in the organization. But there’s hope since market research methods like secondary research, competitive intelligence, and qualitative interviews can be used to reach quick data wins and identify leads that convert at higher rates and higher values
This Lecture Will:
-TEACH THE POWER OF MARKET RESEARCH FOR SALES.
-SHOW SECONDARY & QUALITATIVE METHODS FOR SALES TEAMS.
-EXPLAIN HOW TO USE BEHAVIORAL DATA TO INCREASE CONVERSIONS.
You can watch this lecture here: https://youtu.be/ZY3_jEXsc9E
Data Drive Better Sales Conversions - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Sales is the lifeblood of any organization, and in today’s increasingly data-driven world, sales teams are often the last to adapt and change to a data-driven strategy. The skepticism of sales teams is likely due to lack of data scientists failing to deliver insights that are digestible to sales teams and that sellers can take action from. Fortunately, becoming a data-driven sales team isn't impossible, it just requires the right mix of human data-detective work and a touch of automation to create a scalable system to deliver leads that convert at higher rates and at higher total value to an organization.
This Lecture Will:
-TEACH YOU THE ROADBLOCKS SALES TEAMS HIT WITH DATA.
-SHOW YOU DATA TYPES & USES FOR BETTER SALES CONVERSIONS.
-EXPLAIN HOW TO BECOME A DATA-DRIVEN SALES LEADER.
You can watch this lecture here: https://youtu.be/noIjGerm3eE
Customer Research For Product Managers - Dawn of The Data Age Lecture SeriesLuciano Pesci, PhD
Product managers have access to a wealth of observational "events" data but often find this pales in comparison to the insights from direct customer feedback. While qualitative methods are popular with product managers, their approach is usually unsystematic and susceptible to bias or misinterpretation. To achieve a successful customer-driven product vision it's important to understand how to design robust qualitative and quantitative research with specific use cases before you ever begin collecting customer feedback.
This Lecture Will:
-TEACH YOU AN AGILE CUSTOMER RESEARCH DESIGN.
-SHOW YOU QUALITATIVE & QUANTITATIVE RESEARCH BEST PRACTICES.
-EXPLAIN HOW TO USE THE RESEARCH TO ACHIEVE YOUR PRODUCT VISION.
You can watch this lecture here: https://youtu.be/bZlNO9E-zz8
Data Driven Product Vision - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Analytics is the applied use of data in processes, and it’s something product managers need to learn to love because their careers are trending towards data. This is because data=fuel when making decisions and identifying goals.To achieve your product vision you need to segment customers by persona to identify high-value groups and use frameworks and key performance indicators (KPIs) to validate your decisions before setting the next set of goals.
This Lecture Will:
-TEACH YOU WHY DATA IS FUEL FOR PRODUCT VISION MAPPING.
-SHOW YOU THE MAIN DATA TYPES AND THEIR USES IN PRODUCT DEV.
-EXPLAIN HOW TO USE FRAMEWORKS & KPIs TO ACHIEVE YOUR PRODUCT VISION.
You can watch this lecture here: https://youtu.be/fCbTTjvDXLE
Data Drive Your Content Creation - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Content really is king. Whether you’re trying to improve your organic search ranking, test new lead generation channels, or establish your brand as an industry thought leader, you need to create engaging content. But a prerequisite for this is understanding who your audience is and what their pain points are at every stage of their customer journey. This lecture will teach you a data-driven approach to the content creation process and will include our first guest lecturer, Trevor Crump the Director of Acquisition Marketing for Alliance Health, who will reveal his data-driven approach to content creation and how this has been a huge success for his organization.
This Lecture Will:
-TEACH THE DATA-DRIVEN APPROACH TO CONTENT CREATION.
-SHOW YOU HOW TO OPTIMIZE CONTENT FOR THE ENTIRE CUSTOMER JOURNEY.
-EXPLAIN HOW TO MEASURE THE IMPACT OF DATA-DRIVEN CONTENT ON SALES.
You can watch this lecture here: https://youtu.be/g8UXdIchqrw
Step Up Your Survey Research - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Most surveys are terrible. From poorly designed questions, to incoherent survey flow, to useless results, it’s no wonder data-driven organizations have so little faith in survey research. But this isn’t the fault of the tool, it’s because most surveys are built without adhering to some basic best practices, which once fixed can transform any survey from a zero to a hero. This lecture will show you how to create data-science quality surveys that provide unique and immediately actionable insight about your customers, competitors, and marketplace.
This Lecture Will:
-EXPLAIN THE DATA SCIENCE APPROACH TO SURVEY LAYOUT AND QUESTION DESIGN.
-HOW TO INCREASE RESPONSE AND COMPLETION RATES THROUGH ITERATIVE TESTING.
-LINKING SURVEY RESULTS TO OTHER DATA SOURCES TO ENRICH YOUR ANALYSIS.
You can watch this lecture here: https://youtu.be/WuBenXuVzqc
Calculating Your Customer Lifetime Value - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Not all customers are created equal. Finding the average customer lifetime value is a quick win for your organization, and you definitely have the data necessary to do it, but a closer inspection of your data will show that 1 in 5 of your customers is responsible for 80% of the total lifetime value. And that isn't even taking non-monetary CLV into consideration. To beat your competition for the best customers you need individual-level insights about the value of each customer.
This Lecture Will:
-TEACH YOU HOW TO USE YOUR DATA TO FIND AVERAGE CLV.
-EXPLAIN THE BEST PRACTICES WHEN DEALING WITH NON-MONETARY CLV.
-SHOW YOU HOW TO MOVE BEYOND AVERAGE CLV TO INDIVIDUALIZED CLV.
You can watch this lecture here: https://youtu.be/iCX-afWhmZ4
From Analytics Into Actionable Insights - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Frustration and analytics can go hand in hand. After spending hours exploring your data, running tests of difference, finding measures of association, and building predictive models you’ve hit a wall: how to turn all this information into actionable insights everyone can understand.
This Lecture Will:
-TEACH YOU HOW TO USE ANALYTICS TO ANSWER BUSINESS QUESTIONS.
-EXPLAIN THE BEST PRACTICES WHEN VISUALIZING COMPLEX DATA OUTPUT.
-SHOW YOU HOW TO PRESENT INSIGHTS THAT YOUR TEAM WILL UNDERSTAND AND ACT ON.
You can watch this lecture here: https://youtu.be/JH-MCo-Xh5g
Interpreting Data Like a Pro - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Picture this. You’ve collected, cleaned, and analyzed your data (no small feat) but as you sit there staring at your computer screen you think, “what does this actually mean?” If you’ve had a moment like this you’re not alone! One of the most difficult things about data is interpreting the output because it depends on selecting the appropriate analytics method for the right type of data.
This Lecture Will:
-TEACH YOU HOW TO IDENTIFY DIFFERENT DATA TYPES
-EXPLAIN THE RIGHT WAY TO SELECT DATA ANALYSIS METHODS
-SHOW CORE DATA INTERPRETATION SKILLS YOU NEED TO SUCCEED
You can watch this lecture here: https://youtu.be/SirK0SSBeZg
Getting to Quick Wins with Data - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
80% of all data projects are currently failing. This means that organizations who successfully use their data are in possession of a major competitive advantage. This lecture will show you tried-and-true methods for setting data project goals, managing data teams, and how to quickly validate your data findings to reach quick wins.
This Lecture will:
-TEACH YOU TO SET REACHABLE DATA PROJECT GOALS
-EXPLAIN SUCCESSFUL DATA PROJECT ROAD-MAPPING
-OUTLINE EFFECTIVE DATA PROJECT MANAGEMENT
-SHOW YOU HOW TO TEST/ITERATE WITH YOUR DATA
You can watch this lecture here: https://youtu.be/VqMCK7Whyd4
Storytelling with data think broad, mine deep, explain simplyLuciano Pesci, PhD
This is a presentation from the 2016 SLC|SEM Digital Marketing Conference in Salt Lake City August on 25th 2016. It uses Epic Rap Battles of History, the most successful internet show ever, as an example of how to tell a story with data analytics by thinking broadly, mining deeply, and explaining simply.
Stop Burning Your AdWords Budget - Simple Optimization Tactics to Make Your S...Luciano Pesci, PhD
Learn how to make your AdWords spend go farther through simple data visualizations that optimize campaigns and keyword bids, ways to control for the effect of time on campaign performance, how to use game theory and expected customer value to beat your competitors at bidding, and agile research methods you can use to lower your spend.
You can watch the accompanying Webinar here: https://youtu.be/W2bu04tZ-4k
Customer personalization is the future, but if you take it too far you can scare people away. Learn methods that will allow you to understand and connect to your customers without being creepy.
Opendatabay - Open Data Marketplace.pptxOpendatabay
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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).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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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.
Dashboards are Dumb Data - Why Smart Analytics Will Kill Your KPIs
1. Dashboards Are Dumb Data:
Why Smart Analytics Will Kill Your KPIs
Emperitas Webinar May 19th
2016
www.emperitas.com / 801.810.5869 / 4609 South 2300 East Suite 204, Holladay, UT 84117
2. Hi, I’m Luciano Wheatley Pesci…
Founder & Director, Utah Community Research Group (UTAHCRG), Univ. of Utah
• Teach microeconomics, statistics, applied research & data analytics, and American
economic development & history.
Co-Founder and CEO, EMPERITAS
• Team of analysts, data scientists, and economists who find actionable business
intelligence through marketing analytics and agile research, to help our clients beat out
their competitors for the most profitable customers.
2
3. My Basic Argument Today…
• Near-Real-Time or Die: The pace of competition requires
organizations see near-to-real-time information.
• The Dashboard Bubble: Solutions ranging from “do it yourself” to
“turn key” all have pros & cons, but most aren’t what they claim to be.
• Smart Analytics Is a Killer: Smart Analytics provides a different,
complementary option, but it requires creating a data culture.
• Building a Data Dream Team: “Data Scientist” is a catchall term
covering multiple job functions, knowing which to hire will determine
the success of your organization.
3
5. It’s Pretty Competitive Out There
• You need to be watching your competitors because
they’re definitely watching you.
• Constant battle over brand recognition, market share,
sourcing, and innovation.
• Data has become the main differentiator in the struggle.
5
6. Example Competitive Intelligence Tools
• Competitive Intelligence tools
are a booming market, and
most use a dashboard.
• NUVI (Social)
• SpyFu (SEO/PPC)
• Moat (Banner Ads)
• Glassdoor (HR)
• CI Radar (Operational Insights)
• Quid (Market Trends) 6
7. The Motivation For Real-Time
• With access to all this data & information, speed is becoming the next differentiator.
• The need for speed has created a bubble of real-time & near-real-time dashboards.
7
9. Different Flavors of Dashboards
• Dashboards can be tied to a SaaS product (AdWords,
HubSpot, NUVI) or they can aggregate and display different
data sources (Tableau, Grow).
• They can also be grouped by the size and type of
organization they serve, specifically Enterprise vs SMB.
• More generally though, they can be grouped into “do it
yourself” or “turn key” solutions.
9
10. Some Leaders In Doing It Yourself
• Do it yourselfsolutions are the better option
when you have the skills necessary to use them.
• R Shiny (FREE)
• Clear Analytics (FREE)
• Microsoft BI (Free/$120)
• Qlik (Free/$500+)
• Tableau ($1.5k+)
• Adaptive Insights ($5k+)
10
11. Interesting Turn Key Solutions
• Turn key solutions are mostly aimed at the Enterprise
customers, but there are a few solutions available
to SMBs.
• Yellow Fin ($3k+)
• Grow ($6k+)
• Domo (your soul)
11
12. Dashboards Straight Talk (Pros)
• People are visual learners,dashboards make data insights more
actionable since people understand them.
• Information is always available and in one place.
• Some of the solutions allow you to explore the data.
• Simplifies the process of sharing insights across your team.
• Starts laying the foundation to create a “data culture.”
12
13. Dashboards Straight Talk (Cons)
• Most are being sold as a total solution,rather than a
necessary part of operating in the new economy.
• Can have difficult, costly integration.Noteasy to change once
they’re built and people don’tuse them once they have them.
• Usually provide descriptive insights.Few have predictive
analytics,and even those mostly use linear modeling.
• They can create tunnel vision.NPS and other “silver bullet
metrics” overpromise and under deliver.
13
15. What is Smart Analytics?
• Combines secondary research (what already exists in public domain)
with qualitative and quantitative primary research.
• Iterative and adaptive process best done
in 2-week sprints using agile methods.
• Moves beyond single metrics and uses data-mining to find predictive connections and
meaningful differences that can drive better strategy decisions.
15
16. AI & Data Detectives
• AI may take over (smart analytics), but right now it's a human art to blend theory,
evidence, and prediction in a visually rich way others can understand.
• It takes a team. There are no data science “unicorns”
that can outperform a team of 5 expert analysts.
• Analysts are not statisticians, they’re Data Detectives.
16
18. It’s about Building a Culture
• Effectively using data requires a team because the
data sources, and expertise, are spread all across
the organization.
• A willingness to constantly learn is a prerequisite of
creating a data culture; what you did this year won’t
be what you do next year.
18
19. • “Data Scientist” is being used to describe three uniquely different roles:
• Dealing with Storing Data & Infrastructure (Architects, IT & DBAs).
• Dealing with Retrieving & Processing Data (ETL & Coders).
• Dealing with Statistics & Visualizations/Story-Telling (Data Detectives & Statisticians).
• Data Scientists rarely have the organizational expertise needed to recommend action on
the data. It’s on you to know what insights are needed and how you’re going to use them.
What Kind of Data Talent Do You Need?
19
20. Next Webinar: How to Grow Your Own Data Detectives
• In our next webinar, I’ll explain how I’ve trained hundreds
of data detectives at the University of Utah, and how
I’ve grown my own team at Emperitas.
• It will teach you everything you need to grow your own
internal talent and create a data culture at your organization.
20