Analysis of 3 ways to spot a bad statistic by mona chalabiDarpan Deoghare
This document summarizes Mona Chalabi's analysis of how to spot bad statistics. It outlines 3 key questions to ask: 1) Can we see uncertainty in the numbers? Visualizing data can overstate certainty. 2) Can we see ourselves in the data? Context is important to understand where data points fit. 3) How was the data collected? It's important to understand the methodology to properly interpret results. Bad statistics can mislead; we shouldn't dismiss numbers but should learn to scrutinize how they were produced and what uncertainties exist. Proper statistical analysis is important for effective policymaking and decision making.
A survey of 800 marketers at Fortune 1000 companies found that 89% rely on past experience to make decisions rather than data, and 44% failed basic statistical questions, with only 6% answering all questions correctly. Many marketers are confused about making wise decisions due to a lack of sufficient data and statistical knowledge. The survey identifies that top marketers are able to focus on higher goals, ask strategic questions based on data, and filter out noise, which are rare skills that are difficult to teach.
19 Growth Hacker Quotes: Thoughts on the Future of MarketingRyan Holiday
Adapted from "Growth Hacker Marketing: A Primer on the Future of PR, Marketing, and Advertising" by Ryan Holiday.
http://www.amazon.com/Growth-Hacker-Marketing-Primer-Advertising/dp/1591847389/ryanholnet-20
"Everything you thought you knew about marketing is obsolete.
We can see the incontrovertible evidence right in front of us. A new generation of multibillion dollar brands—Facebook, Twitter, AirBnb, Evernote, and countless others—have been built without spending a dime on traditional marketing techniques. No press releases, no PR firm, no Madison Avenue, no billboards in Times Square.
It wasn’t luck that took them from tiny start-ups to massive success. They have a new strategy. It’s called Growth Hacking. And it works.
A Growth Hacker is someone who rejects what “marketing” is supposed to be and replaces it only with tools that are testable, trackable, and scalable. Growth Hackers rely on inexpensive tactics like e-mail, pay-per-click ads, blogs, and platform APIs. They chase real results in a field that was dominated by gut instincts for nearly a century. They reject the traditional marketing worship of all things big: big budgets, big campaigns, big opening weekends. Instead, they embrace the opposite: taking a start-up from nothing to something, launching a Kickstarter project, building something that truly spreads.
Growth Hacker Marketing offers both a new mindset and a new set of rules. Bestselling author Ryan Holiday, the former director of marketing for American Apparel, will convince you of the urgency of this awakening. He shows why the game has changed forever and what to do about it—whether you are an aspiring marketer, an entrepreneur, or a Fortune 500 senior executive."
Social media roi tracking london 11-22-2010 - finalMarshall Sponder
4.20 pm How to Monitor and Measure Social Media ROI
Marshall Sponder, Senior Analyst – WCG
In this session Marshall will highlight what you need to do in order to measure your social media activities against your goals and how to translate this into ROI.
This document discusses how artificial intelligence (AI) is being harnessed by the pharmaceutical industry. It provides examples of how AI is enhancing drug development, clinical trials, customer engagement through chatbots, and compliance monitoring for patients. While AI shows great potential, the document also cautions that cybersecurity and managing expectations are important challenges to consider when implementing AI technologies in healthcare.
Where Data and Story Meet - Building the Data Storytelling CapabilityRanda McMinn
Data is rapidly transforming the way companies are transacting and engaging with customers. Gone are the days of not having enough data, now we are being inundated with too much data and are struggling to find ways to make sense of it. As a business leader, especially in the roles of data science and marketing, your success is heavily reliant on making sense of data, so it is becoming imperative to build and nurture a great data storytelling capability.
In this piece, we explore the increasing demands in skillsets for the modern data scientist and marketer. Further, we explore the mindset of data scientists and whether or not that mindset differs from a group of analytics professionals who have been identified as great data storytellers. We also reveal different ways to build the data storytelling capability.
This document discusses the need for strong data storytelling skills among data scientists and marketers. It argues that while data scientists are often hired to make sense of large amounts of data, few possess the storytelling skills needed to communicate insights to others. Similarly, modern marketers need a blend of analytical and creative skills that many lack. The document explores how to define data storytelling and profiles the ideal skills of modern data scientists and marketers. It identifies three types of data scientists - those focused on analysis, building tools, and consulting/storytelling. It concludes that organizations need to foster interdisciplinary collaboration and build internal storytelling capabilities to bridge the gap between data and action.
Analysis of 3 ways to spot a bad statistic by mona chalabiDarpan Deoghare
This document summarizes Mona Chalabi's analysis of how to spot bad statistics. It outlines 3 key questions to ask: 1) Can we see uncertainty in the numbers? Visualizing data can overstate certainty. 2) Can we see ourselves in the data? Context is important to understand where data points fit. 3) How was the data collected? It's important to understand the methodology to properly interpret results. Bad statistics can mislead; we shouldn't dismiss numbers but should learn to scrutinize how they were produced and what uncertainties exist. Proper statistical analysis is important for effective policymaking and decision making.
A survey of 800 marketers at Fortune 1000 companies found that 89% rely on past experience to make decisions rather than data, and 44% failed basic statistical questions, with only 6% answering all questions correctly. Many marketers are confused about making wise decisions due to a lack of sufficient data and statistical knowledge. The survey identifies that top marketers are able to focus on higher goals, ask strategic questions based on data, and filter out noise, which are rare skills that are difficult to teach.
19 Growth Hacker Quotes: Thoughts on the Future of MarketingRyan Holiday
Adapted from "Growth Hacker Marketing: A Primer on the Future of PR, Marketing, and Advertising" by Ryan Holiday.
http://www.amazon.com/Growth-Hacker-Marketing-Primer-Advertising/dp/1591847389/ryanholnet-20
"Everything you thought you knew about marketing is obsolete.
We can see the incontrovertible evidence right in front of us. A new generation of multibillion dollar brands—Facebook, Twitter, AirBnb, Evernote, and countless others—have been built without spending a dime on traditional marketing techniques. No press releases, no PR firm, no Madison Avenue, no billboards in Times Square.
It wasn’t luck that took them from tiny start-ups to massive success. They have a new strategy. It’s called Growth Hacking. And it works.
A Growth Hacker is someone who rejects what “marketing” is supposed to be and replaces it only with tools that are testable, trackable, and scalable. Growth Hackers rely on inexpensive tactics like e-mail, pay-per-click ads, blogs, and platform APIs. They chase real results in a field that was dominated by gut instincts for nearly a century. They reject the traditional marketing worship of all things big: big budgets, big campaigns, big opening weekends. Instead, they embrace the opposite: taking a start-up from nothing to something, launching a Kickstarter project, building something that truly spreads.
Growth Hacker Marketing offers both a new mindset and a new set of rules. Bestselling author Ryan Holiday, the former director of marketing for American Apparel, will convince you of the urgency of this awakening. He shows why the game has changed forever and what to do about it—whether you are an aspiring marketer, an entrepreneur, or a Fortune 500 senior executive."
Social media roi tracking london 11-22-2010 - finalMarshall Sponder
4.20 pm How to Monitor and Measure Social Media ROI
Marshall Sponder, Senior Analyst – WCG
In this session Marshall will highlight what you need to do in order to measure your social media activities against your goals and how to translate this into ROI.
This document discusses how artificial intelligence (AI) is being harnessed by the pharmaceutical industry. It provides examples of how AI is enhancing drug development, clinical trials, customer engagement through chatbots, and compliance monitoring for patients. While AI shows great potential, the document also cautions that cybersecurity and managing expectations are important challenges to consider when implementing AI technologies in healthcare.
Where Data and Story Meet - Building the Data Storytelling CapabilityRanda McMinn
Data is rapidly transforming the way companies are transacting and engaging with customers. Gone are the days of not having enough data, now we are being inundated with too much data and are struggling to find ways to make sense of it. As a business leader, especially in the roles of data science and marketing, your success is heavily reliant on making sense of data, so it is becoming imperative to build and nurture a great data storytelling capability.
In this piece, we explore the increasing demands in skillsets for the modern data scientist and marketer. Further, we explore the mindset of data scientists and whether or not that mindset differs from a group of analytics professionals who have been identified as great data storytellers. We also reveal different ways to build the data storytelling capability.
This document discusses the need for strong data storytelling skills among data scientists and marketers. It argues that while data scientists are often hired to make sense of large amounts of data, few possess the storytelling skills needed to communicate insights to others. Similarly, modern marketers need a blend of analytical and creative skills that many lack. The document explores how to define data storytelling and profiles the ideal skills of modern data scientists and marketers. It identifies three types of data scientists - those focused on analysis, building tools, and consulting/storytelling. It concludes that organizations need to foster interdisciplinary collaboration and build internal storytelling capabilities to bridge the gap between data and action.
The document summarizes an interview with Douglas Van Praet on the future of market research. He argues that market research is missing empathy and an understanding of consumer emotions. It also needs to move beyond post-hoc rationalizations and understand unconscious motivations. Looking ahead, he sees the industry focusing more on cognitive and behavioral sciences to better understand customers. Research also needs to improve how it measures emotions and incorporates that into product development. Overall, Van Praet prefers speaking to consumers directly to read micro-expressions rather than focus groups.
Harnessing Your Data to Power People-Based MarketingTowerData
More than half of customers say experience affects their buying. People-Based Marketing — and a connected database — allows marketers to drive relevant multi-channel brand experiences.
Presented at Masterclassing New York, Jan. 25.
People are happy when they get what they need. In the context of marketing, this means delivering product attributes and benefits that meet consumers' and shoppers’ needs, which is the focus of marketing today. While making people happy certainly contributes to a brand being liked and trusted, it doesn’t go far enough. Delivering emotional meaning is how brands will build real competitive advantage in the future. Meaning involves “understanding one’s life beyond the here and now.” For a brand to be meaningful, it must reflect consumers' and shoppers’ emotional truths relevant to the brand and its category.
In today’s data driven and analytical world, it’s possible to overlook that 'reason leads to conclusion, but it’s emotion that leads to action'.
Since the origin of communication, storytelling has been a powerful tool that is used to convey information and share knowledge.
In every key area of engagement today, storytelling will be a key ingredient for success.
This document discusses the illusion of skill in the stock market. It provides examples of stock pickers and financial analysts who believed they had skill in timing the market or predicting stock prices, but data showed they did not perform better than chance. Daniel Kahneman's research found that investment advisors' results resembled dice rolls rather than skill. Even after seeing the data, the company continued rewarding luck as if it were skill. The document advises that investors must accept they cannot always beat the market and no one is smarter than the market itself. It suggests finding incorrectly priced securities but avoiding overconfidence, which can be detrimental.
The document discusses the rise of data and information proliferation. It notes that more data is now generated by individuals than in all of human history prior to 2008. Both businesses and individuals are able to collect more data about consumers and themselves through various means. This data can provide insights but also creates privacy concerns. As data increases, the ability to extract meaningful insights from it will become more important for businesses to succeed. Individuals are also able to quantify more aspects of their own lives, but risk sharing too much private information.
The document discusses the exponential growth of data and information from both individuals and businesses. It notes that more data was generated in 2009 alone than in all of human history prior. This data proliferation has implications for both consumers and businesses. Consumers are increasingly self-quantifying daily activities and sharing personal information online, creating large amounts of personal data exhaust. Meanwhile, businesses have more data than ever about customers but face the challenge of extracting meaningful insights from it. The ability to understand and leverage this new wealth of data will separate successful businesses from the rest. However, both consumers and businesses also need to carefully manage all this information to balance benefits with growing privacy and transparency concerns.
To stand apart from the crowd you need a great story, with a great hook, whether you're promoting your company, a product or service.
Find out out what you need to successfully promote the kinds of stories that capture media attention.
6 Tips to Acquire Customers with Your About PageReferralCandy
We’ve been changing things up around here at ReferralCandy – updating our site, improving our SEO, things like that. While reading up on what to do, we stumbled upon Jennifer Havice’s post “How To Use Your ‘About Us’ Page To Acquire Customers”. You can’t imagine how scandalised we were to realize how terribly under-optimized our own About page is! (We’re working on fixing that now =/)
In the meantime, here’s how you can use your About page to acquire more customers.
Digital Workforce: Challenges & OpportunitiesJeff Molander
The document discusses challenges and opportunities in the digital economy workforce. It notes that today's businesses focus too much on short-term revenue, advertising, and outdated media models. This has led to hyper-specialization and a lack of understanding for many. The "ignorance economy" concentrates wealth and limits opportunity. However, the document outlines opportunities to build trust-centric business models, embrace long-term thinking, engage in true innovation, and empower customers with choice. This could lead to a more prosperous future focused on values like respect and accountability.
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.
1) Digital marketing is becoming mainstream in the pharmaceutical industry as companies shift from questioning whether to adopt digital strategies to how to implement them successfully.
2) The white paper series examines how pharmaceutical companies can make the right decisions around technologies, devices, and skills to develop effective digital strategies and gain competitive advantage through 2020.
3) Internal sponsorship, well-managed systems and processes, and data-driven insights are key to the successful implementation and optimization of digital marketing strategies in the pharmaceutical industry.
This document summarizes the key findings of a survey conducted with 100 hospital executives regarding their perceptions and use of health IT vendor generated marketing content in decision making. The survey found that the most influential materials for purchasing decisions were conversations with sales executives and case studies. However, hospital executives generally did not find most marketing collateral like brochures, white papers, and websites to be useful or provide meaningful information. They desired content that focused more on customer outcomes rather than products and provided tools to help implement solutions. There are significant opportunities for health IT vendors to improve their marketing content to better meet the informational needs of hospital executives.
Excelente explicación de cómo es necesario empatizar cn las emociones de nuestros clientes, más allá de las explicaciones racionales que estos dan de sus actos y emociones
The document discusses how new companies are positioning themselves to succeed in healthcare by leveraging three major changes: improved infrastructure enables new AI-first business models, high patient engagement allows experience-focused models, and these changes will lead to more proactive care delivery and new types of jobs. It outlines how infrastructure advances like sensors, cloud computing and APIs lower barriers to entry. AI-first companies strategically build datasets and target areas like diagnostics. Experience-focused companies prioritize engagement to proactively guide patients. These shifts will drive utilization from reactive to proactive care delivered where patients are, changing the nature of healthcare jobs.
Why does telling a story with your data matters Explain the impo.docxfranknwest27899
Why does telling a story with your data matters? Explain the importance of accurate data in today's business environment.
Data Storytelling: What It Is, Why It Matters
Telling a compelling story with your data helps you get your point across effectively. Here are four tips to keep your data from getting lost in translation.
8 Non-Tech Skills IT Pros Need To Succeed
(Click image for larger view and slideshow.)
Organizations can do a lot more with their data if they understand it better than they do. While businesses continue to invest dollars in business intelligence (BI) and analytics tools, they aren't necessarily getting the information they need to improve business decision-making.
Data visualizations
help by transforming complex information into something easier to understand. However, two people can interpret the same data visualization differently. Notably, data visualizations tend to answer "what" questions, but they don't tend to explain the "why," or provide other contextual information. Data storytelling does exactly that.
"Data storytelling weaves data and visualizations into a narrative tailored to a specific audience in order to convey credibility in the analytical approach, confidence in the results, and a compelling set of insights that is actionable to the audience." said Ryan Fuller, general manager at Microsoft and former CEO and cofounder of enterprise analytics company VoloMetrix, in an interview. "The narrative is the key vehicle to convey insights, and the visualizations are important proof points to back up the narrative."
Executives, managers, and employees have always told stories as part of their everyday work experience, but they are increasingly being required to use data to support their points of view, claims, and recommendations. The danger, of course, is data can be tortured into saying almost anything.
"One of the biggest mistakes is trying to fit the data to the story, which often results in a jumbled narrative that doesn't arrive at a compelling conclusion," said Francois Ajenstat, VP of product development at BI and analytics solution provider
Tableau
, in an interview. "Always start with the data, then build your story around it, rather than vice versa."
After speaking with experts in data science and analytics, we've developed the following four tips to help guide your data storytelling.
1. General Storytelling Rules Apply
Effective data storytelling is a lot like storytelling generally. The data story should have a beginning, a middle, and an end. It should also include a thesis (or a hypothesis), supporting facts (data), a logical structure, and a compelling presentation. Yet, all too often, those responsible for analyzing data are unable to present it in a way that's meaningful to the audience.
"A common mistake is spending too much time on the technical aspect or methodology and not providing much creativity in pointing out how the data can help the business," said David Liebskind, VP of anal.
The opening keynote for the 2016 IBM Workforce Analytics Summit in Amsterdam.
Saberr CEO, Tom Marsden and Founder, Alistair Shepherd talk about how to make the dream of HR analytics a reality. Start by building trust, build trust by involving employees, focus on delivering value at the team level.
Big data has given marketers an unprecedented view into the attitudes and behaviors of larger audiences than ever before. But as we become increasingly reliant on big-data analytics, we’re also basing our insights on the same data pool—and arriving at very similar ideas. It’s a race to the middle that can dilute brand perceptions and value.
For brands to stand out, big data isn’t enough. That’s where small data comes in.
In our latest white paper, we show how using small data—the tiny clues that can uncover consumers’ drivers and desires—can uncover consumer insights that can't be found through big data alone.
Read the white paper, and find out how small data can lead to breakthrough ideas that transform brands and brand experience.
The document summarizes an interview with Douglas Van Praet on the future of market research. He argues that market research is missing empathy and an understanding of consumer emotions. It also needs to move beyond post-hoc rationalizations and understand unconscious motivations. Looking ahead, he sees the industry focusing more on cognitive and behavioral sciences to better understand customers. Research also needs to improve how it measures emotions and incorporates that into product development. Overall, Van Praet prefers speaking to consumers directly to read micro-expressions rather than focus groups.
Harnessing Your Data to Power People-Based MarketingTowerData
More than half of customers say experience affects their buying. People-Based Marketing — and a connected database — allows marketers to drive relevant multi-channel brand experiences.
Presented at Masterclassing New York, Jan. 25.
People are happy when they get what they need. In the context of marketing, this means delivering product attributes and benefits that meet consumers' and shoppers’ needs, which is the focus of marketing today. While making people happy certainly contributes to a brand being liked and trusted, it doesn’t go far enough. Delivering emotional meaning is how brands will build real competitive advantage in the future. Meaning involves “understanding one’s life beyond the here and now.” For a brand to be meaningful, it must reflect consumers' and shoppers’ emotional truths relevant to the brand and its category.
In today’s data driven and analytical world, it’s possible to overlook that 'reason leads to conclusion, but it’s emotion that leads to action'.
Since the origin of communication, storytelling has been a powerful tool that is used to convey information and share knowledge.
In every key area of engagement today, storytelling will be a key ingredient for success.
This document discusses the illusion of skill in the stock market. It provides examples of stock pickers and financial analysts who believed they had skill in timing the market or predicting stock prices, but data showed they did not perform better than chance. Daniel Kahneman's research found that investment advisors' results resembled dice rolls rather than skill. Even after seeing the data, the company continued rewarding luck as if it were skill. The document advises that investors must accept they cannot always beat the market and no one is smarter than the market itself. It suggests finding incorrectly priced securities but avoiding overconfidence, which can be detrimental.
The document discusses the rise of data and information proliferation. It notes that more data is now generated by individuals than in all of human history prior to 2008. Both businesses and individuals are able to collect more data about consumers and themselves through various means. This data can provide insights but also creates privacy concerns. As data increases, the ability to extract meaningful insights from it will become more important for businesses to succeed. Individuals are also able to quantify more aspects of their own lives, but risk sharing too much private information.
The document discusses the exponential growth of data and information from both individuals and businesses. It notes that more data was generated in 2009 alone than in all of human history prior. This data proliferation has implications for both consumers and businesses. Consumers are increasingly self-quantifying daily activities and sharing personal information online, creating large amounts of personal data exhaust. Meanwhile, businesses have more data than ever about customers but face the challenge of extracting meaningful insights from it. The ability to understand and leverage this new wealth of data will separate successful businesses from the rest. However, both consumers and businesses also need to carefully manage all this information to balance benefits with growing privacy and transparency concerns.
To stand apart from the crowd you need a great story, with a great hook, whether you're promoting your company, a product or service.
Find out out what you need to successfully promote the kinds of stories that capture media attention.
6 Tips to Acquire Customers with Your About PageReferralCandy
We’ve been changing things up around here at ReferralCandy – updating our site, improving our SEO, things like that. While reading up on what to do, we stumbled upon Jennifer Havice’s post “How To Use Your ‘About Us’ Page To Acquire Customers”. You can’t imagine how scandalised we were to realize how terribly under-optimized our own About page is! (We’re working on fixing that now =/)
In the meantime, here’s how you can use your About page to acquire more customers.
Digital Workforce: Challenges & OpportunitiesJeff Molander
The document discusses challenges and opportunities in the digital economy workforce. It notes that today's businesses focus too much on short-term revenue, advertising, and outdated media models. This has led to hyper-specialization and a lack of understanding for many. The "ignorance economy" concentrates wealth and limits opportunity. However, the document outlines opportunities to build trust-centric business models, embrace long-term thinking, engage in true innovation, and empower customers with choice. This could lead to a more prosperous future focused on values like respect and accountability.
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.
1) Digital marketing is becoming mainstream in the pharmaceutical industry as companies shift from questioning whether to adopt digital strategies to how to implement them successfully.
2) The white paper series examines how pharmaceutical companies can make the right decisions around technologies, devices, and skills to develop effective digital strategies and gain competitive advantage through 2020.
3) Internal sponsorship, well-managed systems and processes, and data-driven insights are key to the successful implementation and optimization of digital marketing strategies in the pharmaceutical industry.
This document summarizes the key findings of a survey conducted with 100 hospital executives regarding their perceptions and use of health IT vendor generated marketing content in decision making. The survey found that the most influential materials for purchasing decisions were conversations with sales executives and case studies. However, hospital executives generally did not find most marketing collateral like brochures, white papers, and websites to be useful or provide meaningful information. They desired content that focused more on customer outcomes rather than products and provided tools to help implement solutions. There are significant opportunities for health IT vendors to improve their marketing content to better meet the informational needs of hospital executives.
Excelente explicación de cómo es necesario empatizar cn las emociones de nuestros clientes, más allá de las explicaciones racionales que estos dan de sus actos y emociones
The document discusses how new companies are positioning themselves to succeed in healthcare by leveraging three major changes: improved infrastructure enables new AI-first business models, high patient engagement allows experience-focused models, and these changes will lead to more proactive care delivery and new types of jobs. It outlines how infrastructure advances like sensors, cloud computing and APIs lower barriers to entry. AI-first companies strategically build datasets and target areas like diagnostics. Experience-focused companies prioritize engagement to proactively guide patients. These shifts will drive utilization from reactive to proactive care delivered where patients are, changing the nature of healthcare jobs.
Why does telling a story with your data matters Explain the impo.docxfranknwest27899
Why does telling a story with your data matters? Explain the importance of accurate data in today's business environment.
Data Storytelling: What It Is, Why It Matters
Telling a compelling story with your data helps you get your point across effectively. Here are four tips to keep your data from getting lost in translation.
8 Non-Tech Skills IT Pros Need To Succeed
(Click image for larger view and slideshow.)
Organizations can do a lot more with their data if they understand it better than they do. While businesses continue to invest dollars in business intelligence (BI) and analytics tools, they aren't necessarily getting the information they need to improve business decision-making.
Data visualizations
help by transforming complex information into something easier to understand. However, two people can interpret the same data visualization differently. Notably, data visualizations tend to answer "what" questions, but they don't tend to explain the "why," or provide other contextual information. Data storytelling does exactly that.
"Data storytelling weaves data and visualizations into a narrative tailored to a specific audience in order to convey credibility in the analytical approach, confidence in the results, and a compelling set of insights that is actionable to the audience." said Ryan Fuller, general manager at Microsoft and former CEO and cofounder of enterprise analytics company VoloMetrix, in an interview. "The narrative is the key vehicle to convey insights, and the visualizations are important proof points to back up the narrative."
Executives, managers, and employees have always told stories as part of their everyday work experience, but they are increasingly being required to use data to support their points of view, claims, and recommendations. The danger, of course, is data can be tortured into saying almost anything.
"One of the biggest mistakes is trying to fit the data to the story, which often results in a jumbled narrative that doesn't arrive at a compelling conclusion," said Francois Ajenstat, VP of product development at BI and analytics solution provider
Tableau
, in an interview. "Always start with the data, then build your story around it, rather than vice versa."
After speaking with experts in data science and analytics, we've developed the following four tips to help guide your data storytelling.
1. General Storytelling Rules Apply
Effective data storytelling is a lot like storytelling generally. The data story should have a beginning, a middle, and an end. It should also include a thesis (or a hypothesis), supporting facts (data), a logical structure, and a compelling presentation. Yet, all too often, those responsible for analyzing data are unable to present it in a way that's meaningful to the audience.
"A common mistake is spending too much time on the technical aspect or methodology and not providing much creativity in pointing out how the data can help the business," said David Liebskind, VP of anal.
The opening keynote for the 2016 IBM Workforce Analytics Summit in Amsterdam.
Saberr CEO, Tom Marsden and Founder, Alistair Shepherd talk about how to make the dream of HR analytics a reality. Start by building trust, build trust by involving employees, focus on delivering value at the team level.
Big data has given marketers an unprecedented view into the attitudes and behaviors of larger audiences than ever before. But as we become increasingly reliant on big-data analytics, we’re also basing our insights on the same data pool—and arriving at very similar ideas. It’s a race to the middle that can dilute brand perceptions and value.
For brands to stand out, big data isn’t enough. That’s where small data comes in.
In our latest white paper, we show how using small data—the tiny clues that can uncover consumers’ drivers and desires—can uncover consumer insights that can't be found through big data alone.
Read the white paper, and find out how small data can lead to breakthrough ideas that transform brands and brand experience.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
2. The Harvard Business Review article, references a study done by CEB of
nearly 800 marketers at Fortune 1000 companies which revealed that.
. .
"the vast majority of marketers still rely too much on intuition -- while
the few who do use data aggressively for the most part do it badly."
3.
4. No, Not At All
The Fact is
It's impossible to measure 'squishier' meaningful intangibles,
such as human emotion, personal connection and the occasional
'ahhhh' moment.
Those things often come with a marketer's intuition, and they
deliver big-time
5. A good marketer knows his/her audience
&
Hence able to integrate their personal experiences and knowledge
into
his/her decision-making.
6. "I wouldn't want to give up the data that helps
us make fact-based decisions quickly.
But,
I fear that marketers' access to and obsession
with measuring everything takes away from the
business of real marketing,“
Christa Carone, the CMO of Xerox
7. Marketers all over the world over are collectively losing
sleep over one thing
BIG
DATA
8. The writer of an article chose to look at the positive side writing
"only 17% were unaware of the concept of Big Data.“
The fact is that this level of unawareness is also quite BIG
9. Marketers decisions should rely on:
expert advice
trailing conversations with
managers
and colleagues
one-off customer interactions
10. As per Oracle survey
9/10 North American retail
executives thought a failure to
capitalize on the benefits offered
by data translated to lost revenues.
11. Use More elegant interfaces
To improve efficiency of Data
Take simple approach