Machine Learning

Foster Data-Driven Culture With Data Literacy

The firm explains that as organizations speed up the execution of their digital transformation plans, they must invest in enhancing data-related skills among their staff.

Organizations are increasingly embracing the transformative capabilities of machine learning (ML) and artificial intelligence (AI) to unlock the untapped potential of their data and fortify their competitive edge. However, challenges such as resistance to change and distractions from emerging technologies continue to pose hurdles along the way. To help overcome these challenges and empower organizations to cultivate a robust data-driven culture for the digital age, Info-Tech Research Group has released a blueprint, Foster Data-Driven Culture With Data Literacy.

“‘Digital transformation’ and ‘data-driven’ are two terms that are inseparable,” says Annabel Lui, principal advisory director at Info-Tech Research Group. “With organizations accelerating their digital transformation roadmap implementation, they need to invest in developing data skills with their people. Talent is scarce, and the demand for data skills is huge. There is no time like the present to launch an organization-wide data literacy program to bridge the data knowledge gap and foster a data-driven culture.”

The firm’s research highlights the crucial role that every employee plays in the field of data collection, from employees engaged in data collection to operational teams generating valuable insights through analytics tools, as well as executives relying on data-driven decision making. However, organizations frequently encounter difficulties sourcing skilled data professionals and fail to establish a data-driven culture despite their mission statements. Without implementing a comprehensive data literacy program, the true value of data remains untapped and unattainable.

In order to maximize the benefits of data use and drive digitalization, the firm proposes implementing a comprehensive, organization-wide approach to enhancing data literacy. To achieve this, Info-Tech recommends establishing a formalized data literacy program that caters to diverse learning styles and accommodates different stages of employee development, including onboarding and personal growth plans.

The firm further emphasizes that a data literacy program extends beyond data itself and encompasses various aspects of business, IT, and data; it requires executive support and collaboration with the business to ensure that the program isn’t seen as just typical technical training. The program must address three key questions:

  1. Why? Define the purpose: Understand the audience and their data consumption habits and insights.
  2. What? Understand data: Identify the location of data within the organization.
  3. How? Introduce new ways of working: Explore and implement effective mechanisms for delivering data to the organization.


The blueprint explains the importance of organizations acknowledging the significance of a data-driven culture during digital transformation, which involves making informed decisions based on data evidence rather than relying solely on instinct.

“Data literacy training is as important as any cybersecurity training. It impacts all levels of the organization and is critical to succeed with digital transformation and AI analytics,” explains Annabel Lui.

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