"A data visualization, or dashboard, is great for summarizing or describing what has gone on in the past, but if people don’t know how to progress beyond looking just backwards on what has happened, then they cannot diagnose and find the ‘why’ behind it." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Along with the important information that executives need to be data literate, there is one other key role they play: executives drive data literacy learning and initiatives at the organization." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Data fluency, as defined in this book, is the ability to speak and understand the language of data; it is essentially an ability to communicate with and about data. In different cases around the world, the term data fluency has sometimes been used interchangeably with data literacy. That is not the approach of this book. This book looks to define data literacy as the ability to read, work with, analyze, and communicate with data. Data fluency is the ability to speak and understand the language of data." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Data literacy empowers us to know the usage of data and how an algorithm can potentially be misleading, biased, and so forth; data literacy empowers us with the right type of skepticism that is needed to question everything." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Data literacy is for the masses, and data visualization is powerful to simplify what could be very complicated." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Data literacy is not a change in an individual’s abilities, talents, or skills within their careers, but more of an enhancement and empowerment of the individual to succeed with data. When it comes to data and analytics succeeding in an organization’s culture, the increase in the workforces’ skills with data literacy will help individuals to succeed with the strategy laid in front of them. In this way, organizations are not trying to run large change management programs; the process is more of an evolution and strengthening of individual’s talents with data. When we help individuals do more with data, we in turn help the organization’s culture do more with data." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"[...] data literacy is the ability to read, work with, analyze, and communicate with data." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Data science is, in reality, something that has been around for a very long time. The desire to utilize data to test, understand, experiment, and prove out hypotheses has been around for ages. To put it simply: the use of data to figure things out has been around since a human tried to utilize the information about herds moving about and finding ways to satisfy hunger. The topic of data science came into popular culture more and more as the advent of ‘big data’ came to the forefront of the business world." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Data scientists are advanced in their technical skills. They like to do coding, statistics, and so forth. In its purest form, data science is where an individual uses the scientific method on data." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Data visualization is a simplified approach to studying data." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Ensure you build into your data literacy strategy learning on data quality. If the individuals who are using and working with data do not understand the purpose and need for data quality, we are not sitting in a strong position for great and powerful insight. What good will the insight be, if the data has no quality within the model?" (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"I agree that data visualizations should be visually appealing, driving and utilizing the appeal and power for individuals to utilize it effectively, but sometimes this can take too much time, taking it away from more valuable uses in data. Plus, if the data visualization is not moving the needle of a business goal or objective, how effective is that visualization?" (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021
"I think sometimes organizations are looking at tools or the mythical and elusive data driven culture to be the strategy. Let me emphasize now: culture and tools are not strategies; they are enabling pieces." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"In the world of data and analytics, people get enamored by the nice, shiny object. We are pulled around by the wind of the latest technology, but in so doing we are pulled away from the sound and intelligent path that can lead us to data and analytical success. The data and analytical world is full of examples of overhyped technology or processes, thinking this thing will solve all of the data and analytical needs for an individual or organization. Such topics include big data or data science. These two were pushed into our minds and down our throats so incessantly over the past decade that they are somewhat of a myth, or people finally saw the light. In reality, both have a place and do matter, but they are not the only solution to your data and analytical needs. Unfortunately, though, organizations bit into them, thinking they would solve everything, and were left at the alter, if you will, when it came time for the marriage of data and analytical success with tools." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"One main reason descriptive analytics is so prevalent is the lack of data literacy skills that exist in the world. If one thinks about it, if you do not have a good understanding of how to use data, then how are you going to be good at the four levels of analytics?" (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Overall [...] everyone also has a need to analyze data. The ability to analyze data is vital in its understanding of product launch success. Everyone needs the ability to find trends and patterns in the data and information. Everyone has a need to ‘discover or reveal (something) through detailed examination’, as our definition says. Not everyone needs to be a data scientist, but everyone needs to drive questions and analysis. Everyone needs to dig into the information to be successful with diagnostic analytics. This is one of the biggest keys of data literacy: analyzing data." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Pure data science is the use of data to test, hypothesize, utilize statistics and more, to predict, model, build algorithms, and so forth. This is the technical part of the puzzle. We need this within each organization. By having it, we can utilize the power that these technical aspects bring to data and analytics. Then, with the power to communicate effectively, the analysis can flow throughout the needed parts of an organization." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"Statistics is a field of probabilities and sometimes probabilities do not go the way we want." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"The process of asking, acquiring, analyzing, integrating, deciding, and iterating should become second nature to you. This should be a part of how you work on a regular basis with data literacy. Again, without a decision, what is the purpose of data literacy? Data literacy should lead you as an individual, and organizations, to make smarter decisions." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"The reality is, the majority of a workforce doesn’t need to be data scientists, they just need comfort with data literacy." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"When it comes to data literacy learning, there is one key aspect to ensure the program and project works and is successful: the role of leadership. It’s unlikely a project will succeed if you fail to secure the full buy-in from those in charge." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
"When we are empowered with skills in data literacy, we have the ability to understand where our data is going, how it is being utilized, and so forth. Then, we can make smarter, data literacy informed decisions with regards to how we log in, create accounts and so forth. Data literacy gives a direct empowerment towards our personal data usage." (Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021)
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