Data Literacy: Enhance the Value of Your Data Assets

Develop a focused program to cultivate a data-driven culture and grow data literacy across the organization.

Three approaches to measuring the efficacy of data literacy initiatives

Download Research on Measuring the Value of Data Literacy

Ensure you’re fit for digital success by using data literacy metrics to communicate the value of data-literate talent.

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Data literacy is a key enabler to driving business outcomes

Data literacy is an essential competency for all employees. Executives must use data literacy metrics to communicate business outcomes and foster a data-literate workforce. It’s also crucial to align business initiatives with data literacy training to achieve digital business goals. Download this research to learn how to:

  • Measure and communicate training success

  • Develop training targets based on engagement and satisfaction

  • Equip employees to improve their data literacy

Keys to building a data-literate organization

Amplify the impact of D&A programs by equipping business users with the skills they need to deliver value using data.

Data literacy is a critical requirement for extracting value from data assets

CDAOs are under pressure to show measurable results from data and analytics investments. Yet there is a wide gap between executive leader expectations about the impact of data, and the ability or willingness of business stakeholders to use it. In fact, respondents to Gartner’s 2024 CDAO Survey listed poor data literacy and other skills gaps among their top 5 roadblocks to D&A success.

But let’s clarify: What is data literacy?

Data literacy is the ability to read, write and communicate data in context, with an understanding of data sources and constructs, analytical methods and AI techniques. Data literacy helps people identify, understand, interpret and act on data within a business context to influence business value or outcomes.

As that definition makes clear, data literacy goes beyond knowledge of basic data concepts, like the ability to interpret graphs and figures and understanding the difference between a median and mean. Instead, a data-literate worker can interpret data to draw meaningful insights for a specific process or problem. They can also communicate these findings to others by translating the information into terms their audience can relate to.

That is a high bar, and few people without technical skills or training meet it. That keeps them from using the data assets the organization has to enable data-driven decision making, relying instead on gut feel.

CDAOs recognize this gap and see data literacy as an element they need to connect data and analytics to business goals — a major differentiator for successful programs. In response, many CDAOs are launching data literacy programs aimed at developing data literacy and growing a data-driven culture within their organization. These programs are so widespread that 83% of CDAOs report that their organization either has a data literacy program in progress or is planning to deploy one within the next 12 months.

To be successful, these programs must address not only data literacy (“skills”) but also data-driven culture (“will”) to drive organizationwide shifts in mindsets and behaviors toward greater use of data. To promote that culture change, start by selling the benefits of data literacy to the organization. (See Tab 2.)

Stakeholders need motivation to put in the effort to become data literate

To set the stage to increase the use of data by business stakeholders, CDAOs should initiate their data literacy programs with a series of presentations and meetings aimed at selling the value of data and analytics overall, and data literacy specifically.

To do that, first host an organizationwide webinar or town hall, or a series of mandatory seminars for business units/regions (in-person or online). This is a quick and easy way to introduce the idea of data literacy to large groups of people and sell the benefits. Follow these sessions with smaller group discussions, during which you can workshop examples to help stakeholders envision how data can drive business value and outcomes within their business units or functions.

Keep in mind that stakeholders will be asking what increased data literacy means for them personally and for their teams, as well as what it costs them in terms of time and effort. Though stakeholders may be swayed knowing that widespread data-driven decision making results in more efficient use of resources, better time management, cost savings and new revenue opportunities, motivation will also come from them knowing they personally will come out better off.

Recognize, as well, that change does not happen in the same way and at the same speed for everyone. Even if employees all start from the same position, they will gain data literacy at different rates based on how much aptitude they have for data literacy skills and how willing they are to embrace it.

Plan different communication approaches for “walkers” (those with low-to-medium aptitude and low-to-medium willingness), “joggers” (those with medium-to-high aptitude and medium-to-high willingness) and “runners” (those with high aptitude and high willingness), as follows:

  • Awareness. Launch internal marketing campaigns for the late-following walkers with simple repeated messages, as in: “Your company needs you and your data.”

  • Education. Offer entry-level enablement for walkers to participate more fully in simple data-oriented processes — for example, how to read, interpret and act on standard process monitoring reports.

  • Training. Equip joggers to be more effective and productive with targeted techniques, methods and practices. Support them with on-the-job buddying from a runner.

  • Coaching. Accelerate and enable runners to maximize their success with the support, coaching and environment they need to excel. Harness them to become your internal champions to work with, engage and encourage walkers.

  • Quarantine. Do not spend time trying to change those who cannot or will not “get it.” Take action if such individuals deliberately try to undermine your program, but otherwise focus most of your resources on runners.

Effective data literacy training fills skills gaps based on business priorities

Creating a data-literate workforce is an ongoing and long-term initiative that must constantly adapt to changes in the business environment, new talent and new D&A technologies.

Partner with colleagues in HR, learning and development, and with the lines of business to design and deliver holistic and effective data literacy training. Make sure to anchor that training in the reality of your data governance strategy, data assets and the problems you use data to solve. This helps you to avoid the common mistake of delivering data literacy training that covers generic concepts without making them relatable to the business’s everyday problems or processes.

Follow a six-part process for ensuring your data literacy training delivers value and is individually adapted to the needs of a given employee, as follows:

  1. Conduct a skills assessment. Assess what skills users currently have and their skill levels.

  2. Identify core competencies. Identify the data and analytics core competencies needed by each role in IT and business user groups.

  3. Match training with gaps in skills proficiency. Identify the skills gaps and match necessary training at an individual and team level to bridge the gaps.

  1. Design training curricula and training content within the subject areas. Maximize the impact of training by creating a modularized training program with learning paths targeted at closing skills gaps.

  2. Choose the right delivery format or formats. Use multimedia or e-learning resources to disseminate information in a variety of channels. Use different delivery methods, including self-directed and instructor-led training, and reinforce learning through practice and application to real-world problems. As much as 70% of the learning time should be on-the-job learning.

  3. Measure the effectiveness of training and adjust to narrow the gaps. Decide on the metrics by which you will assess the effectiveness of training, and conduct this assessment periodically.

Scale the training both in relation to the amount of content offered and the size of audience over time. Include individual development planning, since training effectiveness and speed of adoption will depend on individual roles, experience, knowledge levels, technology competency, cultural background and learning preferences.

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FAQ on data literacy

Data literacy is the ability to read, write and communicate data in context. Having a data-literate workforce ensures that the investments made in the data and analytics program pay off — for example, in the form of better, faster decision making; more efficient use of resources; and new revenue opportunities. Without data literacy, organizations are less likely to achieve these benefits with their D&A initiatives.

The primary challenge is entrenched mindsets and resistance to change.

D&A professionals may worry that increasing data literacy will give more employees access to data assets and thus challenge data governance. 

Veteran senior executives used to relying on gut feeling to make decisions may resist being forced to adapt and operate more transparently. 

Business stakeholders may be intimidated by data and feel that it is “IT’s job” and not theirs to understand and use it.

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