41 Shareable Data Quotes That Will Change How You Think About Data
The amount of data generated in real time is immense. This has created oceans of data from which companies can derive real business value and make better business decisions. The big data market is predicted to grow by 20% this year, and by 2020, every human is expected to generate 1.7 megabytes (of data) every second. The big data and analytics market will be worth $103 billion by 2023.
It’s important because making smart business decisions saves organizations a lot of money while helping them identify new opportunities to generate revenue. For example, leveraging big data is already saving Netflix as much as a $1 billion a year on customer retention.
If you’re thinking about embarking on a data science career, you might want to read up on what the experts have to say about it. Some may reinforce what you already believe while others may change how you think about data completely.
You don’t even have to conduct a Google search because we did all the work and curated this list of 41 data quotes.
Data Quotes: Why Data Is Important
Big data and analytics are at the core of making intelligent business decisions. However, to make those decisions, it’s critical to clean data, process it, and manage it efficiently (to derive valuable insights). The data quotes below underscore the importance of data and analytics in a digitally transformed world:
8. “A data scientist is someone who can obtain, scrub, explore, model, and interpret data, blending hacking, statistics, and machine learning. Data scientists not only are adept at working with data, but appreciate data itself as a first-class product.” - Hillary Mason, founder, Fast Forward Labs.
Data Quotes: The Challenges of Adopting Data and Analytics
When an enormous amount of structured and unstructured data is generated in real time, things can get complicated very quickly. But it’s crucial to overcome the challenges related to the adoption of data and analytics as it can potentially lead to new business opportunities, enhanced efficiency, and significant savings. The following data quotes provide real-world examples of how companies handle it:
11. “What we found challenging, and what I find in my discussions with a lot of my counterparts that is still a challenge, is finding the set of tools that enable organizations to efficiently generate value through the process. I hear about individual wins in certain applications, but having a more sort of cohesive ecosystem in which this is fully integrated is something that I think we are all struggling with, in part because it’s still very early days. Although we’ve been talking about it seemingly quite a bit over the past few years, the technology is still changing; the sources are still evolving.” - Ruben Sigala, former EVP and chief marketing officer, Caesars Entertainment.
12. “The biggest challenge of making the evolution from a knowing culture to a learning culture—from a culture that largely depends on heuristics in decision making to a culture that is much more objective and data-driven and embraces the power of data and technology—is really not the cost. Initially, it largely ends up being imagination and inertia… What I have learned in my last few years is that the power of fear is quite tremendous in evolving oneself to think and act differently today, and to ask questions today that we weren’t asking about our roles before. And it’s that mindset change—from an expert-based mindset to one that is much more dynamic and much more learning oriented, as opposed to a fixed mindset—that I think is fundamental to the sustainable health of any company, large, small, or medium.” - Murli Buluswar, chief science officer, AIG.
13. “Every day, three times per second, we produce the equivalent of the amount of data that the Library of Congress has in its entire print collection, right? But most of it is like cat videos on YouTube or 13-year-olds exchanging text messages about the next Twilight movie.” - Nate Silver, founder and editor in chief of FiveThirtyEight.
15. “One of the biggest challenges is around data privacy and what is shared versus what is not shared. And my perspective on that is consumers are willing to share if there’s value returned. One-way sharing is not going to fly anymore. So how do we protect and how do we harness that information and become a partner with our consumers rather than kind of just a vendor for them?” - Zoher Karu, head of data and analytics, APAC and EMEA.
16. “The first change we had to make was just to make our data of higher quality. We have a lot of data, and sometimes we just weren’t using that data, and we weren’t paying as much attention to its quality as we now need to… The second area is working with our people and making certain that we are centralizing some aspects of our business. We are centralizing our capabilities, and we are democratizing its use. I think the other aspect is that we recognize as a team and as a company that we ourselves do not have sufficient skills, and we require collaboration across all sorts of entities outside of American Express. This collaboration comes from technology innovators, it comes from data providers, it comes from analytical companies. We need to put a full package together for our business colleagues and partners so that it’s a convincing argument that we are developing things together, that we are co-learning, and that we are building on top of each other.” - Ash Gupta, former American Express executive; president, Payments and E-Commerce Innovation, LLC.
17. “Getting information off the internet is like taking a drink from a firehose.” – Mitchell Kapor, founder of Lotus Development Corporation and designer of Lotus 1-2-3, co-founder of the Electronic Frontier Foundation.
18. “On average, people should be more skeptical when they see numbers. They should be more willing to play around with the data themselves.” - Nate Silver, founder, and editor in chief of FiveThirtyEight.
Data Quotes: Why Data Treatment Is Important
Raw data doesn’t provide companies with valuable insights. But data analysts can manipulate it to access deep insights that lie within the data. As a result, how you treat your data can have a profound impact on the conclusions you make. These data quotes reaffirm the importance of managing data efficiently:
20. “I think you can have a ridiculously enormous and complex data set, but if you have the right tools and methodology, then it’s not a problem.” - Aaron Koblin, entrepreneur in data and digital technologies.
Data Quotes: Data Privacy and Security
The data collected by corporations and government agencies can be loaded with sensitive information. For example, it can contain personally identifiable information, corporate secrets, and more. When you’re dealing with highly sensitive information, enhanced privacy and security will be vital to ensuring compliance. Here’s what the experts have said about data privacy and security:
26. “Everything we do in the digital realm—from surfing the web to sending an email to conducting a credit card transaction to, yes, making a phone call—creates a data trail. And if that trail exists, chances are someone is using it—or will be soon enough.” - Douglas Rushkoff, author of “Throwing Rocks at the Google Bus.”
28. “You happily give Facebook terabytes of structured data about yourself, content with the implicit tradeoff that Facebook is going to give you a social service that makes your life better.” - John Battelle, founder, Wired magazine.
29. “In (the) digital era, privacy must be a priority. Is it just me, or is secret blanket surveillance obscenely outrageous?” - Al Gore, former vice president of the United States.
30. “It’s so cheap to store all data. It’s cheaper to keep it than to delete it. And that means people will change their behavior because they know anything they say online can be used against them in the future.”- Mikko Hypponen, security and privacy expert.
31. “You know something is wrong when the government declares opening someone else’s mail is a felony, but your internet activity is fair game for data collecting.” - E.A. Bucchianeri, author.
Data Quotes: The Future of Data
As technology evolves and becomes cheaper, all aspects of our personal and professional lives have the potential to become data-driven. It’s already changed the way most businesses and governments think and operate. The following quotes reflect what the experts have said about the future of big data:
35. “There’s a digital revolution taking place both in and out of government in favor of open-sourced data, innovation, and collaboration.”- Kathleen Sebelius, former U.S. secretary of health and human services.
36. “Autodidacts—the self-taught, un-credentialed, data-passionate people—will come to play a significant role in many organizations’ data science initiatives.” - Neil Raden, founder and principal analyst, Hired Brains Research.
37. “We should teach the students, as well as executives, how to conduct experiments, how to examine data, and how to use these tools to make better decisions.”- Dan Ariely, professor of psychology and behavioral economics at Duke University and a founding member of the Center for Advanced Hindsight.
38. “Every company has big data in its future, and every company will eventually be in the data business.” - Thomas H. Davenport, American academic and author specializing in analytics, business process innovation, and knowledge management.
39. “Big data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within 18 months or risk being left in the dust.” - Virginia M. (Ginni) Rometty, chairman, president and CEO IBM.
According to MIT’s Andrew McAfee, academia is failing to produce enough data scientists to meet present and future demands effectively. This has created a situation where companies tend to rely on what he calls “HiPPOs” or the Highest Paid Person’s Opinion when forming their business strategies.
In this scenario, deep insights will be presented to the leader, but this individual will still make a decision based on a gut feeling and not the data. So until we fill the talent gaps and change this (broken) approach, the world will continue to be “one big data problem.”
If you’re wondering if a career in data science is right for you, consider this final quote:
41. “Possessed is probably the right word. I often tell people, I don’t want to necessarily be a data scientist. You just kind of are a data scientist. You just can’t help but look at that data set and go, I feel like I need to look deeper. I feel like that’s not the right fit.” - Jennifer Shin, data science/machine learning/AI expert and founder of 8 Path Solutions.
Both data analytics and data science are growing and lucrative fields, and you can’t go wrong with either. Looking to prepare for data analytics roles? Check out University of North Florida, Division of Continuing Education’s Data Analytics Career Track. You’ll learn both the technical and business thinking skills to get hired.
If you have more experience or want to move from data analyst to data scientist, consider University of North Florida, Division of Continuing Education’s Data Science Career Track. It’s a self-guided, mentor-led bootcamp that can help you prepare for the next step in your career.
Learn online from an industry-driven curriculum for a career in data.