As analytics and data strategies become more integral to digital business, organizations will need to be data-literate. This means that they can understand and share common knowledge with others and have meaningful conversations about data. Chief data officers (CDOs), if they want to create and track relevant metrics, need to quantify and communicate success in data literacy training.
What is data literacy, exactly?
Gartner defines data literacy as the ability to read, write, and communicate data within a context. This includes understanding data sources, data constructs, and analytical methods used and being able to describe the use cases, their application, and their resulting value.
Furthermore, data literacy is an important component of digital agility. An employee’s ability and desire to use existing and emergent technology and drive better business outcomes are key components.
There are many data literacy solution available to data and analytics leaders. The most important thing is to find a solution that fits your specific needs. There are many different ways to approach data literacy, so it’s important to find a method that works best for you and your team.
Assess your company’s data literacy
Data & analytics leaders will create a narrative that promotes data literacy and highlight business value.
This is how you can assess your organization’s data literacy.
- How many people within your business are capable of interpreting simple statistical operations such as correlations, or judging averages?
- How many managers have the ability to build a business argument based upon concrete, accurate, and relevant numbers?
- How many managers could explain the outputs of their systems or processes to you?
- How many data science professionals can explain the outputs of their machine learning algorithms using data science?
- How many of you customers are capable of understanding and internalizing the essence of data you share with your customers?
Start a data literacy program
Cdos can implement data literacy education programs to meet the ambitious d&a strategic goals. This will allow them to make data literacy a core part of their organizational culture.
Uncertain business environments, changes in work nature, and the acceleration of technology-based business are creating skill gaps that must be filled.
You must first identify native data speakers and fluent data users. Think about business analysts, data managers, and architects who can easily speak and understand data. Additionally, look for skilled translators that can work as mediators within business groups.
The second is to look for areas where communication barriers might prevent data users from achieving their full potential. Do data literacy assessments to discover gaps and use them for a baseline.
Assess the success of your data literacy projects
Employees and managers must understand the benefits offered by data literacy training programs. They should know “what’s the benefit for me?” and “how does it relate to my current or future job?”
CDOs can be used to get clear and measurable results from training.
Analyze the training objectives and the expected results to help you identify the success criteria in data literacy programs.
It is important that employees are able to learn on the job after they have completed training.
Encourage employees to provide feedback on a regular basis so that training can be more relevant and can address existing skills gaps or knowledge requirements.
Set up the content and delivery systems and empower employees to put what they’ve learned into practice.