Hide for Today

Explore Elice's Exclusive AI Technology

Discover everything about Elice AI technology

event background
event background

The First AI Courseware to Achieve the Standard CSAP Certification

Explore Elice's robust platform, proven by Cloud Service Assurance Program (CSAP)

event background
event background

Explore Elice's Exclusive AI Technology

Discover everything about Elice AI technology

event background
event background

The First AI Courseware to Achieve the Standard CSAP Certification

Explore Elice's robust platform, proven by Cloud Service Assurance Program (CSAP)

event background
event background

Explore Elice's Exclusive AI Technology

Discover everything about Elice AI technology

event background
event background

The First AI Courseware to Achieve the Standard CSAP Certification

Explore Elice's robust platform, proven by Cloud Service Assurance Program (CSAP)

event background
event background

Why Enterprise Data Literacy Is Needed

Elice

2024/2/15

The key to corporate competitiveness today is ‘the ability to effectively utilize data’. It’s not just collecting a lot of data, but the ability to manage and interpret data in a high-quality way is becoming more important. As a result, data literacy is emerging as an essential competency in the modern business environment. Today, we’ll learn about the concept, necessity, and corporate education of data literacy.


What is Data Literacy?

Unsplash

Data literacy, another term for data literacy, literally refers to the ability to read, understand, analyze and use data in decision-making. It covers the process of collecting, interpreting and effectively delivering the right data for the right decision. In other words, the ability to recognize the value of data beyond simply interpreting it and apply it to solve business problems is called data literacy competency.

Data comes in a variety of ways, including writing and images, as well as numbers. As a result, tasks like summarizing key content and delivering results through market research can be seen as examples of data literacy. For this reason, data literacy skills can be required as essential skills for non-data workers as well as for data workers.


Data literacy capabilities

Unsplash

We looked at the concept of data literacy earlier. Then, what kind of effort is needed to develop data literacy competency? Let’s find out by dividing the core elements of data literacy competency into four categories.


Capability to understand and design data

First, you need the ability to understand data in order to develop data literacy skills. This refers to the ability to understand the structure, type, and meaning of data. In particular, the ability to design ‘what data to collect’ is very important. You also need to define the problem correctly and collect the appropriate data. When you collect data that does not fit the problem, it becomes difficult to interpret and eventually you cannot come up with the right solution. Therefore, data comprehension and design skills are critical factors in data literacy competency.


Data analytics capability

Another important factor is the ability to analyze data to interpret the collected data and derive insights. The key to solving the next problem is how to interpret the data if you have collected it well. Appropriate reasoning and imagination are required, and rather than simply interpreting the data as objective numbers, you should be able to derive ‘what facts can be inferred’ and ‘what hypotheses to establish’.


Decision-making ability

You should be able to make rational decisions based on your findings, including the ability to produce data-based solutions, as well as the ability to determine the next action in the problem-solving process, such as whether additional verification is required and whether data supplementation is required.


Communication capabilities

Communication skills that effectively communicate the final decision are also crucial. After all, data literacy skills aim to define and solve problems, so it is essential to have the communication skills to persuade others to create solutions together. In addition to this, detailed data literacy skills such as data collection, management, processing, and visualization vary greatly. After all, data literacy is essentially the ability to solve problems.


What is Data Analysis? Understand prospects, examples and processes at once


Need for corporate data literacy

Unsplash

We’ve learned more about data literacy capabilities. So why is data literacy important for businesses and businesses? We’ve summarized it in three ways below.


Ensures competitive advantage

As data education develops into a data-capable enterprise, it enables you to predict market trends and better understand customer needs. This increases customer satisfaction and secures a reliable competitive advantage.


Effective Decision Making

Business operations require strategic planning, because a single misjudgment can cause a company to falter significantly. So companies must gather accurate information and develop appropriate strategies based on it. Companies with data training capabilities can gather accurate information and make far more rational decisions than intuition or speculation.


Reduce costs and increase revenue

Finally, data analytics can help improve inefficiencies and find new business opportunities. It helps to reduce costs and increase profits by increasing or increasing productivity. Companies that increase data literacy have a strong competitive edge in pursuing both cost efficiency and profit growth.


Data Literacy Corporate Training

As the importance of data is growing, many companies are interested in data literacy education. Usually, when large companies establish DX in-house education systems, they organize data literacy subjects as the most basic step. Then, what will be learned in data literacy corporate education? As the subjects of the course are those who want to understand data, those who want to clearly distinguish unclear data, and those who want to use data, we will focus on enhancing data analysis competitiveness by developing literacy skills that know the purpose of data analysis and use it well. It may vary depending on the training period or subject, but mainly in-house data literacy education, you will learn the following.


  • Understand the concept of data, learn the value, and learn the data analysis process that allows you to utilize it as a ‘purpose’ itself.

  • Learn how to look at data critically and select good data for your purpose along with how you look at it.

  • To improve understanding of data quality, understand source data, data bias, errors, missing, etc., and increase the reliability of analysis of data.

  • Learn about structured and unstructured data, categorical data, etc., gather high-quality data that can create value, and learn how to communicate through data.


So far, we’ve covered the concept and importance of data literacy in-house training. So far, Elice has been conducting data literacy training to enhance DX capabilities for various companies. If you’re looking for basic training to improve your company’s understanding of DX or if you’re looking for one that can improve your data literacy skills for non-data professions, I recommend you look at Elice data literacy training!


Elice Data Literacy Training - Contact Us Now


*This content is a work protected by copyright law and is copyrighted by Elice.

*The content is prohibited from secondary processing and commercial use without prior consent.

  • #DX
  • #Data

Bring innovative DX solutions to your organization

Sign up for a free trial and a business developer will provide you with a personalized DX solution consultation tailored to your business