“Be the change you want to see in the world” – Mahatma Gandhi
“Be the Change you want to see in your organization” – Aryng Team
Why Data Literacy?
Decisions are being made in every corner of the organization. These small decisions cumulatively make a big difference. When each and every individual decision maker of your organization can marry intuition with data then business decisions are fully optimized and grounded in reality.
How to build data literacy?
It is a process of change, it is just not about training individuals to read and understand data and graphs, it is about an organizational shift towards it. It is a 5 step process
- Defining Data Literacy for the organization: Here, you need to define what is Data Literacy and also its levels that individual employees need to achieve. Conducting Voice of Executive, defining the target audience – personas – and mapping the skills of employees would do the trick.
- Analytics Maturity Assessment: After each persona understands the end goal of the Data Literacy project, the employees’ skill level needs to be assessed.
- Planning a stratified learning solution and success metrics: Once the gap between the desired and current level of the employees’ Data Literacy has been identified per persona, we are ready to create and define the learning path that will lead you to the end goal of your Data Literacy project.
- Communication and Execution: Equipped with the plan, it is time to communicate it to the organization. This will inspire employees and promote their participation. You can now roll out the program and transform the company into a data-driven organization.
- Evaluation and Improvement: The plan from the third step needs to be executed, assessed, and then improvements be made for the parts that are slumping the growth of the company.
4 Components of Analytics Maturity
A data-driven company shows analytics maturity in these four areas:
- Data-driven leadership – The leaders of the organization understand the power of data as well as analytics and have a strong motivation to lead by numbers.
- Data Literacy across the organization – Both the analytics and the non-analytics side of the organization have an appropriate level of Data Literacy.
- Decision-making process – There exists a mechanism to make decisions in the organization, which is aligned with the key drivers of the business so that everyone feels motivated to work on their project. It is so because the decision-makers understand how their work moves the key metrics and thereby adds value to the company.
- Data Maturity – There is a single source of truth for data, i.e. people can access data with ease and that data is accurate.