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The Data Literacy Imperative – Why your business can’t afford to ignore it

 

By: Mika Ahtinen, Senior Customer Success Manager & Advisor at Climber.

Introduction – The Age of Data and Why It Matters

We are living in the age of data, where information flows through every aspect of business and society. Data has become one of the most valuable resources in the modern world. It drives innovation, improves decision-making, and creates competitive advantages.

Even so, with all its potential, many organisations still struggle to harness data effectively. The challenge often lies not in the lack of data, but in the ability to understand, interpret, and apply it. This is where data literacy comes into play.

A study by Qlik and Accenture found that only 21% of employees feel confident in their data literacy skills. According to a 2023 Forrester Research report, 79% of leaders believe they provide essential data skills to their employees. However, only 40% of employees agree that their companies offer the necessary data literacy training. Moreover, Gartner’s 2024 Chief Data and Analytics Officer Survey ranks poor data literacy among the top five barriers to the success of data and analytics initiatives.

Data literacy refers to the ability to read, work with, analyse, and communicate data. It is no longer a skill reserved for data scientists or analysts. In today’s data-driven environment, it is essential for employees across all roles and industries. It is equally important for individuals of all ages — including children and seniors — helping them make informed decisions and positively impact both their workplaces and daily lives.

The Data Literacy Gap – The Hidden Crisis in Business

Despite the growing importance of data, many businesses face a significant data literacy gap. Several studies show that a large portion of employees feel uncertain and overwhelmed when working with data. This uncertainty often leads to what is known as “data fatigue” or “analysis paralysis” — a state where an abundance of data results in inaction due to a lack of understanding.

Data fatigue refers to the exhaustion, overwhelm, or cognitive overload individuals experience due to excessive exposure to data, reports, dashboards, and analytics. Similarly, analysis paralysis occurs when excessive data, choices, or information leads to overthinking, delaying, or even preventing decision-making.

Organisations struggle not only with managing vast amounts of data but also with equipping employees with the skills to interpret and apply it effectively. Decision-making becomes a challenge when employees rely on intuition instead of data-driven insights. In 2024, an estimated 400 million terabytes of data were generated daily — an overwhelming volume that further complicates decision-making.

Moreover, there is often a disconnect between leadership and employees when it comes to data comprehension. Many executives assume that their teams have stronger data skills than they actually do. Closing this gap is critical for organisations that want to remain competitive and thrive in an increasingly data-centric world.

The Cost of Ignoring Data Literacy

Ignoring data literacy comes at a high cost for businesses. Poor data literacy leads to flawed decisions, costly errors, and missed opportunities — ultimately undermining an organisation’s success.

In today’s highly competitive market, data-driven companies hold a clear advantage. They are more agile, innovative, and well-equipped to navigate change. In contrast, organisations that neglect data literacy risk falling behind, struggling to keep pace with more informed competitors.

Real-world examples highlight this divide: some companies have suffered financial losses and operational setbacks due to poor data utilisation, while others have gained a competitive edge by fostering a data-literate workforce. Prioritising data literacy not only mitigates risk but also unlocks new growth opportunities, driving better outcomes at every level of the organisation.

An Illustrated Case: Data Literacy as a Competitive Advantage in Retail

A global retail company faced declining sales and operational inefficiencies, largely due to its employees’ lack of confidence and skills in using data effectively. Decision-making was often based on intuition rather than insights, leading to poor inventory management, missed market trends, and suboptimal customer experiences.

To address this challenge, the company launched a comprehensive data literacy program covering everything from foundational data understanding to advanced analytics training. Employees across all levels — store managers, marketing teams, and supply chain professionals — were equipped with the skills to interpret and leverage data in their daily work.

The impact was transformative: inventory management became more precise, reducing waste and ensuring products were available when and where customers needed them. Personalised customer experiences improved engagement and loyalty, as teams used data to tailor promotions and recommendations. Additionally, operational costs decreased as data-driven insights optimised logistics and supply chain processes.

By embedding a culture of data literacy, the company not only reversed its downward trajectory but also gained a competitive edge in the market. This case underscores a critical lesson for businesses: investing in data literacy isn’t just about training — it’s about creating a culture where data is accessible, trusted, and strategically used to drive growth and innovation.

How to Start Building a Data-Literate Organisation

Building a data-literate organisation starts with a strong foundation in data understanding, analysis, and application in decision-making. To create a culture where data is accessible and meaningful to everyone, organisations must take deliberate steps.

  1. Invest in training and development: Ensuring that employees at all levels develop essential data skills — from interpreting dashboards to conducting advanced analyses — empowers them to make informed decisions.
  2. Democratise data access: Providing user-friendly tools and platforms enables employees to integrate data into their daily work, fostering a more data-driven approach across departments.
  3. Lead by example: Leadership plays a critical role in championing data literacy, embedding data-driven decision-making into company strategy, and reinforcing data as a core element of organisational culture.

By prioritising these steps, businesses can build a workforce that is confident, data-savvy, and equipped to drive long-term success through informed decision-making.

Closing Thoughts – The Future of Data Literacy

Data literacy is not just a challenge for today — it is a critical success factor for the future. As data continues to grow in volume, complexity, and importance, organisations that prioritise data literacy will be better equipped to innovate, adapt, and thrive in an ever-evolving business landscape. The journey towards becoming a data-driven organisation starts with empowering people to harness the power of data effectively.

 

“Data Literacy isn’t a training problem — It’s a behavior problem…Because data literacy isn’t just about knowledge — it’s about behavior, culture, and decision-making habits.
— Kevin Hanegan, Consultant, Author & Keynote Speaker, formerly Chief Learning Officer at Qlik

 

The question remains:

Is your organisation ready to unlock the full potential of data and stay ahead in the digital age?

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WANT TO KNOW MORE? CONTACT US!

Mika Ahtinen

Senior Customer Success Manager & Advisor
mika.ahtinen@climber.fi
+358 40 715 4079

Jussi Saarinen

Finland Managing Director
jussi.saarinen@climber.fi
+358 40 756 7340

Published 2025-03-28

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