Marketers flunk the big data test
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Most marketers rely on intuition rather than data-driven decision making, with only 20% of Fortune 1000 companies relying heavily on data. When tested on basic statistical questions, only 5% of marketers owned a statistics textbook and around half answered all questions incorrectly. While big data is driving decision making away from gut feelings, marketers generally lack the statistical aptitude to properly analyze and apply data. This can lead them to get dangerously distracted by irrelevant data and constantly change projects without achieving results. Successful marketers focus on higher-order goals and can filter out irrelevant noise in the data, though only about 10% have this ability. Managers need to guide their teams to properly use data in decision making and focus on important metrics like
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Marketers and Big Data
Most marketers rely too heavily on intuition and past experience rather than data when making customer-related decisions, depending on data for only 11% of decisions. While experience provided reliable assumptions in the past, changing customer behaviors have made past experience less useful. Additionally, the majority of marketers have only basic or no knowledge of statistics, which is needed to properly analyze and apply insights from large amounts of data. Some marketers are overly focused on data and feedback without having the statistical skills to use data effectively, and these marketers tend to underperform. To be successful, marketers need skills like dealing with ambiguity, asking strategic questions based on data, and focusing on higher-level goals rather than getting distracted by excessive data.
BIG DATA PROBLEM
This document summarizes key findings from a study of nearly 800 marketers at Fortune 1000 companies. The study found that most marketers rely too heavily on intuition and past experiences rather than data when making customer-related decisions. Specifically, over half of the information used comes from gut feelings and previous experiences. While marketers consult data sources, they only depend on data for 11% of decisions. Additionally, almost half of marketers scored poorly on statistical aptitude questions. Though a small group uses data frequently, these "Connectors" tend to overadjust to every change in data and lose sight of overall goals. Relying too heavily on outdated assumptions without updating understandings of shifting consumer behaviors can be problematic. Good marketers are
Marketers Flunk the Big Data Test
Most marketers rely too heavily on intuition and gut feelings rather than data when making customer-related decisions. While data should be driving more decisions, the majority of marketers struggle with basic statistical concepts and interpreting data correctly. Only a small percentage of marketers are truly skilled at using data effectively to focus on long-term goals and filter out irrelevant noise and distractions. For managers in India, it is important to train marketers to prioritize data in their decision making and avoid common mistakes in data interpretation.
DSA Presentation 1
This presentation is made by Akankshi Mody, DJSCE - Mumbai, as part of a Data Analytics Internship by Prof. Sameer Mathur, IIM Lucknow
Analysis of hbr article marketers flunk the big data test
Most managers rely too heavily on intuition and past experience rather than data when making decisions. Additionally, many marketers struggle with basic statistics. While some marketers overuse data and are constantly distracted by new information, the most successful marketers maintain a narrow focus on key goals and are able to filter out irrelevant noise. These high-performing marketers demonstrate an ability to ask strategic questions based on data while remaining comfortable with ambiguity.
Marketers Flunk the Big Data Test
Most marketers rely too heavily on intuition rather than data-driven decision making, with only 11% of decisions based on data. While a small number embrace data too aggressively, most marketers struggle with basic statistical concepts. The top performers focus on higher-order goals and apply only the most relevant data and insights, while avoiding distractions. Marketing leaders need to constantly reinforce goals, emphasize data-driven decision making, and address common errors to help marketers better utilize data.
Marketers flunk the big data
Most marketers rely too heavily on intuition and gut feelings rather than data when making customer-related decisions, according to a study. On average, marketers only use data for 11% of decisions. When tested on statistical skills, almost half of marketers got most questions wrong. While some marketers are overly focused on data, these individuals tend to underperform because they lack strong statistical or judgment skills to effectively use data. The study recommends marketing managers look for traits like the ability to ask strategic questions based on data, a narrow focus on goals, and comfort with ambiguity. Managers should also constantly reiterate goals, teach data-driven decision making, and help marketers avoid common mistakes in data interpretation.
Marketers flunk the big data test1
Marketing in particular is feeling the pressure to embrace new data-driven customer intelligence capabilities.
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Marketers and Big Data
Most marketers rely too heavily on intuition and past experience rather than data when making customer-related decisions, depending on data for only 11% of decisions. While experience provided reliable assumptions in the past, changing customer behaviors have made past experience less useful. Additionally, the majority of marketers have only basic or no knowledge of statistics, which is needed to properly analyze and apply insights from large amounts of data. Some marketers are overly focused on data and feedback without having the statistical skills to use data effectively, and these marketers tend to underperform. To be successful, marketers need skills like dealing with ambiguity, asking strategic questions based on data, and focusing on higher-level goals rather than getting distracted by excessive data.
BIG DATA PROBLEM
This document summarizes key findings from a study of nearly 800 marketers at Fortune 1000 companies. The study found that most marketers rely too heavily on intuition and past experiences rather than data when making customer-related decisions. Specifically, over half of the information used comes from gut feelings and previous experiences. While marketers consult data sources, they only depend on data for 11% of decisions. Additionally, almost half of marketers scored poorly on statistical aptitude questions. Though a small group uses data frequently, these "Connectors" tend to overadjust to every change in data and lose sight of overall goals. Relying too heavily on outdated assumptions without updating understandings of shifting consumer behaviors can be problematic. Good marketers are
Marketers Flunk the Big Data Test
Most marketers rely too heavily on intuition and gut feelings rather than data when making customer-related decisions. While data should be driving more decisions, the majority of marketers struggle with basic statistical concepts and interpreting data correctly. Only a small percentage of marketers are truly skilled at using data effectively to focus on long-term goals and filter out irrelevant noise and distractions. For managers in India, it is important to train marketers to prioritize data in their decision making and avoid common mistakes in data interpretation.
DSA Presentation 1
This presentation is made by Akankshi Mody, DJSCE - Mumbai, as part of a Data Analytics Internship by Prof. Sameer Mathur, IIM Lucknow
Analysis of hbr article marketers flunk the big data test
Most managers rely too heavily on intuition and past experience rather than data when making decisions. Additionally, many marketers struggle with basic statistics. While some marketers overuse data and are constantly distracted by new information, the most successful marketers maintain a narrow focus on key goals and are able to filter out irrelevant noise. These high-performing marketers demonstrate an ability to ask strategic questions based on data while remaining comfortable with ambiguity.
Marketers Flunk the Big Data Test
Most marketers rely too heavily on intuition rather than data-driven decision making, with only 11% of decisions based on data. While a small number embrace data too aggressively, most marketers struggle with basic statistical concepts. The top performers focus on higher-order goals and apply only the most relevant data and insights, while avoiding distractions. Marketing leaders need to constantly reinforce goals, emphasize data-driven decision making, and address common errors to help marketers better utilize data.
Marketers flunk the big data
Most marketers rely too heavily on intuition and gut feelings rather than data when making customer-related decisions, according to a study. On average, marketers only use data for 11% of decisions. When tested on statistical skills, almost half of marketers got most questions wrong. While some marketers are overly focused on data, these individuals tend to underperform because they lack strong statistical or judgment skills to effectively use data. The study recommends marketing managers look for traits like the ability to ask strategic questions based on data, a narrow focus on goals, and comfort with ambiguity. Managers should also constantly reiterate goals, teach data-driven decision making, and help marketers avoid common mistakes in data interpretation.
Marketers flunk the big data test1
Marketing in particular is feeling the pressure to embrace new data-driven customer intelligence capabilities.
Marketers flunk the big data test
Marketers are failing to make effective use of big data in their decision making. Only 11% of customer-related decisions are based on data, while over half rely on previous decisions or intuition. As a result, past data does not always lead to accurate predictions about the future. While some marketers underuse data, others are dangerously distracted by it without having the proper judgment or statistical skills to analyze it correctly. To improve, marketers should avoid overreliance on gut feelings and give more importance to data, while also not getting too distracted by data without understanding it. The focus should be on higher-order goals and filtering out noise.
What People Analytics Can’t Capture
This presentation is made as
part of Data Analytics Internship
by Prof Sameer Mathur
IIM LUCKNOW
Big data versus Marketers
This is a presentation based on the article "Marketers Flunk the Big Data Test" by Patrick Spenner and Anna Bird
How marketers flunk the big data test
Marketing in particular is feeling the pressure to embrace new data-driven customer intelligence capabilities.
marketersflunkthebigdatatest
Marketing and data based on HBR article "Marketers Flunk the Big Data Test by Patrick Spenner and Anna Bird"
BIG DATA PROBLEM
Most marketers still rely too heavily on intuition and gut feelings when making customer-related decisions, relying on data only 11% of the time. A majority of marketers struggle with basic statistics, with almost half getting more than four simple statistics questions wrong. While underuse of data is common, a small fraction of 11% are "data hounds" who are dangerously distracted by data, constantly checking dashboards but often making decisions poorly based on the data. Managers should look for marketers with qualities like comfort with ambiguity, ability to ask strategic questions, and a narrow focus on goals to best utilize data in decision-making.
Presentation1
Marketers Flunk the Big Data Test
Most data scientists rely too heavily on intuition rather than data, with over half basing decisions on previous experience rather than statistics. Additionally, many data scientists struggle with statistics and can become too focused on data dashboards without the expertise to properly analyze and apply insights from the data. Top performing marketers instead demonstrate comfort with ambiguity, ask strategic questions based on data, and maintain a narrow focus on higher-order goals.
Marketers Flunk the Big Data Test
The document discusses whether marketers are changing their strategies due to big data. It notes that while the majority of marketers still rely too heavily on judgment from past experience, big data can help with better decision making. However, it also acknowledges that most marketers struggle with statistics and have rare qualities needed to truly utilize big data, such as being comfortable with ambiguity and asking strategic questions based on data.
Big Data Test
Marketers rely too heavily on intuition rather than data in making customer-related decisions. A study found marketers depend on data for only 11% of decisions, with over half relying on past experience and intuition. However, consumer behaviors are changing rapidly, making past assumptions unreliable. Testing found almost half of marketers got statistical questions wrong, and only 6% answered all correctly. While 11% of marketers use a lot of data, consulting dashboards daily, they underperform due to a lack of statistical skills to use data effectively. Managers should look for marketers comfortable with ambiguity, able to ask strategic questions based on data, and focused on long-term goals, in order to filter out noise and apply the most relevant
Marketers flunk the big data test
The vast majority of marketers ignore data when making customer-related decisions, and those that do use data do so poorly. Only 11% of decisions are informed by data. Marketers also struggle with statistics, with 44% missing 4 out of 5 questions on a general statistics quiz. While big data is available, most marketers have not effectively used even small data. Focusing on goals and filtering noise is key, which only about 10% of marketers excel at. Collecting and analyzing the right small data that helps make intelligent decisions is more important than data size.
Marketers flunk the big data test
Marketers are failing to leverage big data effectively for customer-related decisions. While data is available, marketers only use it for 11% of decisions, relying more on intuition. Additionally, most marketers struggle with basic statistics, with 44% missing 4 out of 5 questions on a general statistics quiz. Those marketers that do use data tend to do so incorrectly, being distracted by too much data rather than focusing on important goals and patterns. For marketing to improve, leaders need to teach marketers how to properly interpret and apply data, focusing on strategic questions and higher-order goals rather than response-based metrics.
Ppt analytics
What is big data? What is analytics? What is marketing? Are all managers data savy? How does statistics affect strategic decision making? Watch this ppt to understand this and much more
Presentation1
This is a presentation created as a prt of task of Day 1 Week 4 of Data Analysis Internship under Prof. Mathur
Marketers flunk the big data test
This document discusses marketers' use and understanding of big data. It finds that most marketers still rely heavily on intuition rather than data in decision making. When tested on basic statistics, marketers performed poorly, with only 11% relying on data for all customer decisions and 5% not owning a statistics textbook. Marketers who do use data tend to overrely on it, getting distracted by analytics dashboards and deviating from long-term goals. The best practice is to focus on goals and filter out noise, as top marketers are comfortable with ambiguity, ask strategic questions based on data, and focus narrowly on high-level goals.
Presentation1
Over 800 marketers at Fortune 1000 companies failed at effectively using big data, as they only used data for 11% of customer-related decisions and relied too heavily on intuition instead. While 11% overused data and got distracted by it, the majority struggled with basic and intermediate statistics. To better leverage big data, marketers need to prioritize data in their decision making, have a narrow focus on higher goals while being comfortable with ambiguity, and ask strategic questions to filter out noise - though only 10% of marketers currently possess these qualities.
Marketers Flunk the Big Data Test
A study of 800 marketers found that most rely too heavily on intuition rather than data in decision making. Information used included past experience, conversations, expert advice, and customer interactions, with data from past years being least important. However, judgment based on past experience can quickly become outdated. The study also found that almost half of marketers struggled with basic statistics. While some marketers are overly focused on data, constantly changing strategies based on small fluctuations in metrics, the best marketers stay focused on higher-order goals and can filter out irrelevant noise. However, only 10% of marketers have this ability to filter noise, which will become more important as access to data grows. The article recommends managers emphasize goals, teach data-
Marketers flunk the big data test
Marketers performed poorly on a statistical aptitude test about data analysis, with over 4 questions wrong for most. While hunger for data is increasing, marketers currently depend on data for only 11% of decisions, with most relying on intuitions. The document argues marketers need to shift from gut-based to smart, data-based decision making, and that managers should put data at the center of decisions. It is rare to find marketers who truly excel at using data effectively.
What people analytics can not capture.
Many businesses are seeing benefits from analyzing big data, but there are also limitations. Experts warn that algorithms can make flawed assumptions, and focusing only on performance metrics ignores important human factors like employee well-being that impact long-term success. Specifically for managers, algorithms have inherent biases, and the best predictor of future performance remains past performance itself rather than personality assessments.
Marketers flunk big data test
Big data analytics provides tools to make sense of raw data and help companies make better decisions. However, a survey found that on average marketers only depend on data for 11 of their decisions. Some reasons for this are that marketers often rely on past experience and intuition which can be unreliable today. Additionally, some marketers struggle with large amounts of data or get distracted by it and lose sight of their goals. To better use data, marketers need qualities like comfort with ambiguity, ability to ask strategic questions, and a narrow focus on goals. While such talent is rare, having a well-guided team can help protect people from getting lost in data. In India, big data can boost business if properly understood and not blindly
Marketers flunk the big data test
Presentation by Shreyas Jadhav about the article "Marketers Flunk the Big Data Test" by Patrick Spenner and Anna Bird.
How marketers use big data?
Most marketers rely too heavily on intuition rather than data, depending on data for only 11% of customer decisions on average. While some marketers are overly focused on data and dashboards, struggling to interpret statistics properly, the best marketers focus on overarching goals and filter out irrelevant noise. They emphasize critical business goals and teach others to consider data alongside their decisions in order to avoid common mistakes in data interpretation. Overall, the document suggests managers should not assume all marketers are properly analyzing data and instead could mislead decision-making if relied on without oversight.
Marketers flunk the Big Data Test
Marketers often struggle with analyzing big data and making data-driven decisions. When tested on statistical aptitude, almost half of marketers got four or more questions wrong, and only 6% answered all questions correctly. Most marketers also do not own statistics textbooks. Without big data, marketers would have to rely more on gut feelings and anecdotal advice. While big data holds much potential value, most marketers currently underuse data and are unaware of its full possibilities. Marketers who have stronger statistical skills are better able to keep their company's sales high and stay ahead of competitors by properly analyzing data and customer insights. The top performing marketers focus more on overarching goals and filter out irrelevant noise in the data
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Marketers flunk the big data test
Marketers are failing to make effective use of big data in their decision making. Only 11% of customer-related decisions are based on data, while over half rely on previous decisions or intuition. As a result, past data does not always lead to accurate predictions about the future. While some marketers underuse data, others are dangerously distracted by it without having the proper judgment or statistical skills to analyze it correctly. To improve, marketers should avoid overreliance on gut feelings and give more importance to data, while also not getting too distracted by data without understanding it. The focus should be on higher-order goals and filtering out noise.
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This presentation is made as
part of Data Analytics Internship
by Prof Sameer Mathur
IIM LUCKNOW
Big data versus Marketers
This is a presentation based on the article "Marketers Flunk the Big Data Test" by Patrick Spenner and Anna Bird
How marketers flunk the big data test
Marketing in particular is feeling the pressure to embrace new data-driven customer intelligence capabilities.
marketersflunkthebigdatatest
Marketing and data based on HBR article "Marketers Flunk the Big Data Test by Patrick Spenner and Anna Bird"
BIG DATA PROBLEM
Most marketers still rely too heavily on intuition and gut feelings when making customer-related decisions, relying on data only 11% of the time. A majority of marketers struggle with basic statistics, with almost half getting more than four simple statistics questions wrong. While underuse of data is common, a small fraction of 11% are "data hounds" who are dangerously distracted by data, constantly checking dashboards but often making decisions poorly based on the data. Managers should look for marketers with qualities like comfort with ambiguity, ability to ask strategic questions, and a narrow focus on goals to best utilize data in decision-making.
Presentation1
Marketers Flunk the Big Data Test
Most data scientists rely too heavily on intuition rather than data, with over half basing decisions on previous experience rather than statistics. Additionally, many data scientists struggle with statistics and can become too focused on data dashboards without the expertise to properly analyze and apply insights from the data. Top performing marketers instead demonstrate comfort with ambiguity, ask strategic questions based on data, and maintain a narrow focus on higher-order goals.
Marketers Flunk the Big Data Test
The document discusses whether marketers are changing their strategies due to big data. It notes that while the majority of marketers still rely too heavily on judgment from past experience, big data can help with better decision making. However, it also acknowledges that most marketers struggle with statistics and have rare qualities needed to truly utilize big data, such as being comfortable with ambiguity and asking strategic questions based on data.
Big Data Test
Marketers rely too heavily on intuition rather than data in making customer-related decisions. A study found marketers depend on data for only 11% of decisions, with over half relying on past experience and intuition. However, consumer behaviors are changing rapidly, making past assumptions unreliable. Testing found almost half of marketers got statistical questions wrong, and only 6% answered all correctly. While 11% of marketers use a lot of data, consulting dashboards daily, they underperform due to a lack of statistical skills to use data effectively. Managers should look for marketers comfortable with ambiguity, able to ask strategic questions based on data, and focused on long-term goals, in order to filter out noise and apply the most relevant
Marketers flunk the big data test
The vast majority of marketers ignore data when making customer-related decisions, and those that do use data do so poorly. Only 11% of decisions are informed by data. Marketers also struggle with statistics, with 44% missing 4 out of 5 questions on a general statistics quiz. While big data is available, most marketers have not effectively used even small data. Focusing on goals and filtering noise is key, which only about 10% of marketers excel at. Collecting and analyzing the right small data that helps make intelligent decisions is more important than data size.
Marketers flunk the big data test
Marketers are failing to leverage big data effectively for customer-related decisions. While data is available, marketers only use it for 11% of decisions, relying more on intuition. Additionally, most marketers struggle with basic statistics, with 44% missing 4 out of 5 questions on a general statistics quiz. Those marketers that do use data tend to do so incorrectly, being distracted by too much data rather than focusing on important goals and patterns. For marketing to improve, leaders need to teach marketers how to properly interpret and apply data, focusing on strategic questions and higher-order goals rather than response-based metrics.
Ppt analytics
What is big data? What is analytics? What is marketing? Are all managers data savy? How does statistics affect strategic decision making? Watch this ppt to understand this and much more
Presentation1
This is a presentation created as a prt of task of Day 1 Week 4 of Data Analysis Internship under Prof. Mathur
Marketers flunk the big data test
This document discusses marketers' use and understanding of big data. It finds that most marketers still rely heavily on intuition rather than data in decision making. When tested on basic statistics, marketers performed poorly, with only 11% relying on data for all customer decisions and 5% not owning a statistics textbook. Marketers who do use data tend to overrely on it, getting distracted by analytics dashboards and deviating from long-term goals. The best practice is to focus on goals and filter out noise, as top marketers are comfortable with ambiguity, ask strategic questions based on data, and focus narrowly on high-level goals.
Presentation1
Over 800 marketers at Fortune 1000 companies failed at effectively using big data, as they only used data for 11% of customer-related decisions and relied too heavily on intuition instead. While 11% overused data and got distracted by it, the majority struggled with basic and intermediate statistics. To better leverage big data, marketers need to prioritize data in their decision making, have a narrow focus on higher goals while being comfortable with ambiguity, and ask strategic questions to filter out noise - though only 10% of marketers currently possess these qualities.
Marketers Flunk the Big Data Test
A study of 800 marketers found that most rely too heavily on intuition rather than data in decision making. Information used included past experience, conversations, expert advice, and customer interactions, with data from past years being least important. However, judgment based on past experience can quickly become outdated. The study also found that almost half of marketers struggled with basic statistics. While some marketers are overly focused on data, constantly changing strategies based on small fluctuations in metrics, the best marketers stay focused on higher-order goals and can filter out irrelevant noise. However, only 10% of marketers have this ability to filter noise, which will become more important as access to data grows. The article recommends managers emphasize goals, teach data-
Marketers flunk the big data test
Marketers performed poorly on a statistical aptitude test about data analysis, with over 4 questions wrong for most. While hunger for data is increasing, marketers currently depend on data for only 11% of decisions, with most relying on intuitions. The document argues marketers need to shift from gut-based to smart, data-based decision making, and that managers should put data at the center of decisions. It is rare to find marketers who truly excel at using data effectively.
What people analytics can not capture.
Many businesses are seeing benefits from analyzing big data, but there are also limitations. Experts warn that algorithms can make flawed assumptions, and focusing only on performance metrics ignores important human factors like employee well-being that impact long-term success. Specifically for managers, algorithms have inherent biases, and the best predictor of future performance remains past performance itself rather than personality assessments.
Marketers flunk big data test
Big data analytics provides tools to make sense of raw data and help companies make better decisions. However, a survey found that on average marketers only depend on data for 11 of their decisions. Some reasons for this are that marketers often rely on past experience and intuition which can be unreliable today. Additionally, some marketers struggle with large amounts of data or get distracted by it and lose sight of their goals. To better use data, marketers need qualities like comfort with ambiguity, ability to ask strategic questions, and a narrow focus on goals. While such talent is rare, having a well-guided team can help protect people from getting lost in data. In India, big data can boost business if properly understood and not blindly
Marketers flunk the big data test
Presentation by Shreyas Jadhav about the article "Marketers Flunk the Big Data Test" by Patrick Spenner and Anna Bird.
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How marketers use big data?
Most marketers rely too heavily on intuition rather than data, depending on data for only 11% of customer decisions on average. While some marketers are overly focused on data and dashboards, struggling to interpret statistics properly, the best marketers focus on overarching goals and filter out irrelevant noise. They emphasize critical business goals and teach others to consider data alongside their decisions in order to avoid common mistakes in data interpretation. Overall, the document suggests managers should not assume all marketers are properly analyzing data and instead could mislead decision-making if relied on without oversight.
Marketers flunk the Big Data Test
Marketers often struggle with analyzing big data and making data-driven decisions. When tested on statistical aptitude, almost half of marketers got four or more questions wrong, and only 6% answered all questions correctly. Most marketers also do not own statistics textbooks. Without big data, marketers would have to rely more on gut feelings and anecdotal advice. While big data holds much potential value, most marketers currently underuse data and are unaware of its full possibilities. Marketers who have stronger statistical skills are better able to keep their company's sales high and stay ahead of competitors by properly analyzing data and customer insights. The top performing marketers focus more on overarching goals and filter out irrelevant noise in the data
Marketers Flunk the Big Data Test by Patrick Spenner and Anna Bird
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Marketers Flunk the Big Data Test
The document discusses how most marketers today fail to make effective use of big data in decision making. While there has been a push towards more data-driven decisions, only 11% of customer decisions are actually based on data, with over half relying on intuition. Marketers also struggle with basic statistical concepts, with a test showing only 6% answered correctly. Simply collecting more data does not guarantee better decisions, as underperforming "data savvy" marketers often lack proper statistical skills or judgment. The document recommends marketers develop an ability to focus on higher goals and filter noise from data, and that managers seek a balance of intuition and data-based decisions.
Marketers flunk big data test
Marketers often rely on intuition rather than data when making decisions. While companies receive enormous amounts of data daily, most still focus on intuitions over data-driven insights. Additionally, many marketers lack the appropriate statistical knowledge to effectively use data. For decisions to improve, marketers must embrace high-quality, data-driven decision making and ensure business goals are clear and data is used extensively, rather than past experiences or one-off customer interactions, to account for the constantly changing business environment.
Marketers Flunk the Big Data Test.
Most marketers rely too little on data and too much on gut feelings and past experiences when making customer-related decisions. A majority of marketers struggle with basic statistics. While underuse of data is a problem, some marketers are dangerously distracted by data and change directions too often without focusing on higher-order goals. To be effective, managers must be comfortable with ambiguity, ask strategic questions based on data, and keep a narrow focus on goals. Embracing data insights allows marketers to qualify subjectivity and be seen as in tune with customers and organizational needs.
Marketers flunk the big data test
The document discusses marketers' reliance on intuition versus data-driven decision making. A study found that most marketers still rely too heavily on intuition. Developing the right balance of intuition and analytics is key to success. While data is increasingly available, many marketers lack the skills to use it effectively in decision making. Top performing marketers are comfortable with ambiguity, can ask strategic questions based on data, and focus narrowly on higher-level goals by filtering out irrelevant information and data points. As data grows, this ability to filter noise will become more important for marketers.
Marketers flunk the big data test
Marketers rely too heavily on intuition and past experiences rather than data when making customer-related decisions. They struggle with statistics and lack statistical aptitude, leading them to become distracted by data rather than focusing on goals. It is important for managers to teach marketers to prioritize data in decision making and avoid common mistakes in data interpretation so they can focus narrowly on high-order goals.
Marketers flunk the Big Data Test
This is a presentation for the HBC analysis on the article "Marketers flunk the Big Data" during the internship under the guidance of Prof.Sameer Mathur {Ph.D,Carnige Mellon} ,IIM-LUCKNOW
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Marketers flunk the big data test
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The document discusses how marketers struggle with using big data effectively to make decisions. While data-driven decision making is important, many marketers rely too heavily on gut feelings instead of properly analyzing and interpreting data. The best marketers are able to filter out noise by focusing on higher-level goals, being comfortable with ambiguity, and asking strategic questions of the data. To improve, marketing leaders should constantly reiterate business goals, teach marketers to center decisions around data, and help them avoid common mistakes in data interpretation.
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The document discusses how marketers can effectively use big data. It notes that while many marketers feel they need big data, most rely too heavily on intuition and past experience rather than data in their decision making. It also warns that some marketers overuse data and chase changes without the statistical skills to properly interpret it. Effective use of data requires the ability to ask strategic questions, focus on higher goals, and filter out irrelevant noise. Marketers must use data as a tool to achieve goals rather than letting data dictate the goals.
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Marketers flunk the big data test
Marketers do not make effective use of data in their decision making. Only 11% of customer-related decisions are based on data, and half rely on intuition. Marketers also lack statistical aptitude, with almost half getting basic statistical questions wrong. While access to data is increasing, most marketers are either underutilizing data or are dangerously distracted by it without the ability to filter out irrelevant information. Effective use of data requires keeping business goals as the priority and teaching marketers how to properly analyze and interpret data to support decision making and avoid common mistakes.
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Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
毕业原版【微信:41543339】【(Harvard毕业证书)哈佛大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
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.
DSSML24_tspann_CodelessGenerativeAIPipelines
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
Population Growth in Bataan: The effects of population growth around rural pl...
A population analysis specific to Bataan.
Global Situational Awareness of A.I. and where its headed
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
毕业原版【微信:41543339】【(Coventry毕业证书)考文垂大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
by
Timothy Spann
Principal Developer Advocate
https://budapestdata.hu/2024/en/
https://budapestml.hu/2024/en/
tim.spann@zilliz.com
https://www.linkedin.com/in/timothyspann/
https://x.com/paasdev
https://github.com/tspannhw
https://www.youtube.com/@flank-stack
milvus
vector database
gen ai
generative ai
deep learning
machine learning
apache nifi
apache pulsar
apache kafka
apache flink
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
毕业原版【微信:176555708】【(GWU,GW毕业证书)乔治·华盛顿大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
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3:国家专业人才认证中心颁发入库证书
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6:个人职称评审加20分
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→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
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Learn SQL from basic queries to Advance queries
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
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Marketers flunk the big data test
- 1. Marketers Flunk the Big Data Test by Patrick Spenner and Anna Bird
- 2. Introduction The big-data explosion is driving a shift away from gut-based decision making.
- 3. Introduction 80% 20% Fortune 1000 companies Rely on intution
- 4. On average marketers use data for just 11% of all customer related decisions
- 5. Insight As for the few who do rely on data? Well, for the most part, they’re not using it correctly. Be critical. Question everything. Never assume
- 6. A majority struggle with statistics When we tested marketers’ statistical aptitude with five questions ranging from basic to intermediate It didn’t surprise us that just 5% of marketers own a statistics text book.
- 7. A majority struggle with statistics 44% 50% 6% All questions Wrong All questions right
- 8. People are dangerously distracted by data
- 9. People are dangerously distracted by data The problem is, marketers don’t have the statistical aptitude or judgment required to use data effectively.
- 10. People are dangerously distracted by data In management positions, these people can wreak havoc by creating endless fire drills and preventing anyone from sticking with projects long enough to achieve the best results
- 11. 2 Insight-The best focus on goals and filter out noise
- 12. The best focus on goals and filter out noise The bad news for marketing leaders is that ability to filter out noise is rare (only about 10% of marketers excel here) and hard to teach. The good news is that a well-guided team environment can protect noise chasers from themselves
- 13. Managerial Relevance Their marketers must have qualities like comfort with ambiguity, ability to ask strategic questions based on data, and narrow focus on higher-order goals.
- 14. Managerial Relevance He should teach marketers to put data front and center in their decision making, and sensitize marketers to common data interpretation mistakes
- 15. Managerial Relevance He/she should focus on more important measures such as customer loyalty or lifetime value rather than response-based metrics