Data Literacy

Empowering your people - The Data Literacy Journey

Data Literacy is the ability to read, work with, analyse and argue with data

We are currently in a state of data illiteracy with recent research showing that only:

  • 24% of business decision makers
  • 32% of C-Level Executives
  • 21% of people aged 16-24 years

Consider themselves to be data literate. However 92% of business decision makers believe it is important for their employees to be data literate. And 17% report that their business significantly encourages employees to become more confident with data.

How data literate are you?

You can discover where you sit on the data literacy scale by taking the test here. And whether you are a Data Aristocrat, Knight, Dreamer or Doubter, there are steps you and your organisation can take to improve Data Literacy.

Six steps to best practice for Data Literacy

Leaders need to encourage an organisational culture that is data literate and values information as an asset. This increases the success of implementing and rolling out key data initiatives.  





Increasing value across your business

A massive increase in value occurs when everybody in a business is empowered to make discoveries in data. And, regardless of the size or focus of your business, you can establish and develop a Data Literacy Programme through: 1. Planning and Vision. The first step to implementing a strong Data Literacy Programme is to have a formal discussion with individuals charged with leading data initiatives and strategies in your organisation. 2. Communication. The importance of a communication plan for rolling out the Programme cannot be overstated. Initial communications need to ensure they focus on why you are doing a Data Literacy Programme, rather than jumping into the how and what should happen. 3. Workforce assessment. Leaders of teams participating in the Data Literacy programme need an objective way of assessing each member’s current data literacy comfort level so that the appropriate path for increasing skills can be determined. Simply relying on preconceptions or assumptions about people can be misleading. 4. Cultural learning. Establishing a Data Literacy Programme should not be presented as a sea change to the way the business works but introduced as a new strategy that will be adopted and woven into the existing culture over time as it proves its value—like most change management.  There is cultural learning that all individuals should have access to, beyond those not in the initial launch. 5. Prescriptive learning. Prescriptive learning road-maps and frameworks help start the process of empowerment and upskilling of an individual’s data literacy. 6. Measurement. To demonstrate to the organisation that the Data Literacy Programme is making a difference, periodic measurement and reporting is essential. Measurement is performed by the leaders who are a part of the original discussion team, in addition to those who follow later. Get in touch to discuss any data projects you may be considering.