The Importance of Data Literacy
Tiffany Perkins-Munn, Ph.D.
C-suite & Board Advisor | Data Science, ML, AI | Business Owner | Top 100 Most Influential People in Data | AI-100 | ex-BLK, ML, Citadel
Data literacy is a valuable skill for businesses to invest in and will continue gaining importance in the future. It can lead to growth and innovation and helps companies maintain their competitive edge in a tech-focused world. This information will teach you why data literacy is critical and provide tips for training a more data-driven organization.
Data literacy is the ability to?read, analyze, work, and communicate with data . These skills empower workers to better understand data and machines. Data literacy can also help them ask the right questions, make educated decisions, and communicate essential findings to others.
Data literacy ?is a valuable skill in a tech and data-driven world. What makes data literacy crucial, and how can you leverage this skill within your organization? Here is what you need to know.
What is Data Literacy?
Data literacy describes the ability to read, understand and utilize data in various ways — like standard literacy of the written word. To achieve data literacy, you don’t have to be an expert or a?data scientist. ?You only need to demonstrate a?basic understanding of data concepts , such as:
“Data literacy involves critical thinking skills that allow you to interpret data, make decisions based on findings and convey its significance to others.”
Data is a significant driver of innovation in businesses and society as it allows organizations to make data-driven decisions based on facts and numbers rather than intuition.
However, having access to data isn’t enough to achieve data literacy. You need to know how to leverage data to reap its benefits truly. This is why there is an?increased demand ?in the job market for?data scientists ?and individuals with data literacy skills.
Why is Data Literacy Important?
In a world where everyone has increased access to data regularly, it’s critical to understand how to use it. Data literacy can improve decision-making, innovation, productivity, and other vital factors. However, data literacy isn’t just valuable to businesses.
Data literacy can also be a?valuable skill . It allows teams to learn, identify problems, communicate with colleagues, and increase their value as an employee. Information is everywhere. Without a data-literate workforce, you could limit your organization’s ability to grow.
There are countless reasons why data literacy is critical to your organization. Some of these include:
#1. Allows for Data-Driven Decisions
Data literacy is essential in making more?data-driven decisions . In a world full of data, making decisions based on it is a beneficial practice. Data-driven decisions are generally more effective and reliable than those that aren’t based on data.
For example, say you’re looking to deploy a new social media marketing campaign to reach your young, middle-class female consumers.
“Instead of guessing what that audience would respond to, you can refer to buyer behavior and demographic data to decide on the most effective marketing plan.”
Translating data into workable insights is a vital part of data literacy. Data-driven decision-making is effective and grants you a competitive edge over organizations that aren’t data literate. It also ensures you aren’t wasting time and resources on intuition-based business decisions.
#2. Better Customer Knowledge
Odds are that you’re constantly gathering data on your customers or clients. This can include things like their purchase behaviors, whether they’re on mobile or desktop, and other demographics like their age, income, and geographic location.
Depending on the size of your customer base, this could produce overwhelming amounts of data. However, it’s all precious. Leveraging consumer data allows you to form insights on whom you’re targeting and how to reach them better.
For example, based on your data, you may realize that a large portion of your audience is in their 20s, on mobile devices, making less than $30,000 a year. With that information, you may create specific business plans or?marketing efforts ?to reach them and drive more profits from that portion of your consumer base.
Data literacy allows you to?form better connections with your audience . Better relationships yield more sales and profits for you. They can also let you get to know your customers and serve them better — granting you a market advantage.
#3. Competitive Edge
In business, maintaining a?competitive edge ?is critical. It separates you from other companies and makes potential customers choose you over them. Data literacy skills allow you to make solid, data-driven decisions and connect with your base, creating a competitive advantage for your business.
#4. Increased Innovation and Productivity
A lot of work involving data is tech-based. It uses data analytics tools like software and applications to manage input and output. Investing in data literacy and using analytics tools can improve workplace productivity.
Data skills and tools allow your team to streamline the process and draw meaningful conclusions. It simultaneously provides effective means of organizing the information. Data literacy skills also lead to more incredible innovation. Thus, training your team to?become data literate ?can help keep your business ahead of the curve in an ever-changing market.
#5. Increased Employability
On an individual level, pursuing data literacy can significantly increase your employability and help advance your career. Data literate employees often report?performing better at work ?than the wider workforce. As an executive in charge, transforming existing workplace cultures and shifting toward data literacy can benefit the business and individual workers.
As businesses pivot, there’s an increased need for data-savvy employees. Workers with data literacy can often contribute more to their organizations as those without the skills struggle to match their performance. Businesses aren’t necessarily looking for a professional?data scientist ?to fulfill their data literacy needs. Simply being able to identify trends and patterns in data and understand what they could mean will often suffice.
How To Achieve Data Literacy
Knowing why data literacy is essential and how it can benefit your business may push you to consider building?organization-wide plans . Data literacy within your organization will depend on your current workplace culture, your employees, and various other factors that can differ from one company to another.
However, there are a few basic steps to take to get you started:
#1. Assess the Current Level of Data Literacy
Before you determine what you want to achieve by building data literacy and investing in training, you should assess your organization’s current level of data literacy. How many of your managers can create data-based projects? Do any of your employees regularly use data in their daily work?
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You can gather this information by interviewing employees individually or through an organization-wide survey. You could also give everyone a short data literacy test to assess their current skill level and how well they understand data.
#2. Develop Goals and Objectives
Once you know what level of data literacy you’re working with, you can develop specific goals and objectives revolving around increased data literacy skills. What areas of your businesses would benefit from increased use of data? Focus on those first.
For example, maybe you want to train your marketing team to utilize data to build consumer profiles you can target. This will help you ensure your data literacy training is practical and hits all the necessary marks.
#3. Identify Any Data Experts
“Hire a data scientist to oversee the training and ensure the data literacy programs are built effectively.”
You may realize you have a few data experts in your organization that you didn’t know about. The people who are already comfortable using data can be the models for the rest of your employees during training. You can promote these individuals to help lead the activities or create a new position.
#4. Invest in Training
Once all the preliminary work is done, it’s time to invest in training. You can set up an in-house training program that provides all the primary information employees need to fill knowledge gaps and get up to speed. Training programs should be flexible to accommodate different learning styles and paces while providing time for employees to practice their learning skills.
Also important is to include follow-ups in your training program so you can check in with employees and track and monitor their progress. This will let you know if your data literacy training is working and on track to meet your goals and objectives. Plus, it provides insights on whether the program could benefit from any changes to make it more effective.
#5. Allow Opportunities for Employees to Use Their Skills
When training your employees, you must provide real-time opportunities to use their data literacy skills. You can do this by assigning specific projects and tasks that require employees to put their new skills to work. Providing these opportunities allows you to see your investment at work. You can also determine if training seems to be working or if there are still existing knowledge gaps you need to fill.
Essential Data Literacy Skills and Concepts
The field of data, and the idea of data literacy, is rather broad. There are many different types of data, methods of analysis, and other concepts to learn. It’s not necessary to be an expert in everything to have solid data literacy skills. Still, these are some of the?critical ideas for businesses to explore :
#1. Data Analysis
Data analysis ?is about reading and interpreting information to draw insights. An examination can be done using algorithms and other tools and frameworks or by simply reviewing the data yourself. There are?a variety of data analysis methods ?to use, but the four most common are:
#2. Data Wrangling
Data wrangling is taking raw data and transforming it into something that can be readily used. It’s also often called data munging or data cleaning. This process typically involves correcting or removing any errors in the data and filling gaps.
Data wrangling is critical because if there are errors in the data, it likely won’t be accurate. Several tools and algorithms are used to clean up data sets automatically. However, data literate employees are also responsible for ensuring their data meets specific criteria.
#3. Data Visualization
“Data visualization is vital to making information more accessible, especially to those without data literacy.”
Data visualization is valuable because it allows you to create graphs or other visual representations of the data to understand it better.
#4. The Data Ecosystem
Your organization’s data ecosystem consists of components that collect, store, and analyze data. This can include servers, cloud storage, code packages, and software. Each organization has a unique data ecosystem. It’s crucial to understand how the organization?leverages data ?and identifies any pain points or spaces for improvements.
#5. Data Governance
Data governance is your organization’s processes and practices to manage data assets. It’s like a rulebook for collecting data and ensuring everything is accurate and secure. Often, it’s referred to as a company data policy. Established data governance is important because it focuses on your organization’s data’s quality, security, privacy, and stewardship. Operations can get quite messy without it.
The Data Science Team
Data literacy training helps you get a sense of who your key players are and build a data team with them in mind. The structure and size of your data team will depend primarily on your organization’s size and how important data is to your day-to-day operations. Most data teams include:
The Future of Data Science
Data literacy is already a critical skill as many businesses are moving toward becoming more data-driven. However, some business leaders and employees believe that data literacy will be the?most in-demand skill by 2030 .
Data literacy can yield actionable, customized insights that can further innovate and grow a business in ways other methods can’t. To stay ahead in a tech-centric world, data is a must-have. Technological and data-driven advancements have transformed most workplaces, making the need for data-literate employees more apparent. The benefits of data literacy are too valuable to pass up, meaning businesses will likely be looking for a?data scientist ?to enhance their workflows.
Conclusion
Data literacy is the ability to read, analyze, work, and communicate with data. These skills empower workers to understand data, ask the right questions, and build upon their knowledge. Data-literate employees make better decisions and communicate essential findings to others.
Data literacy is already a critical skill as many businesses are moving toward becoming more data-driven. Some business leaders and employees believe that data literacy will be the most in-demand skill within this decade, making data literacy a top priority to pursue.
Director of Sales - Asset Management - Regulatory Reporting Services
1 年Great articles!! Keep them coming. I think that in order for data literacy and all its benefits to really gain traction, senior executives and leaders need to truly recognize its importance, require it from everyone in their companies and place it at the heart of their company culture.
When are you writing that book?
Institutional Client Marketing @ BlackRock | Growth Marketing Expert
2 年Love these posts, reads as a guide to improve data literacy in any organisation. Curious to hear your view (perhaps in a future post) on how far this type of data literacy / knowledge should enter the boardroom / exec level.