Discover the latest news and views on the impact data literacy has on your organization and career progression.
Let’s bridge the data divide to empower non-profit organizations
Data has immense potential to boost the operations and activities of charities and other non-profit entities, but well documented restraints mean they will generally fall behind the private sector in funding the tools to access it.Read more
Data Literacy Mindsets: Storytelling and Communicating
We need to learn how to communicate and tell stories with data, something that isn’t tackled in the education system. Doing so effectively is predicated on spotting patterns, which will be the focus of this instalment of Data Literacy Mindsets.
What skills do you need to become truly data literate?
There is a common misconception about data literacy and data-informed decision-making. It goes that once we implement the tools to analyze raw data, it will automatically turn into insights. This sounds great in theory. But even with the best data strategy in the world, the people behind these decisions require an understanding of particular competencies – those combinations of knowledge, skills and mindsets – to turn data into insights and better business decisions.
Data Literacy Mindsets: The Importance of Challenging Assumptions
Have you ever heard the quote: “We don't see things as they are, we see them as we are”? Assumptions are necessary and we all make them every day. But they can also be dangerous, both in our personal and professional lives. This is why it is important to learn how to challenge assumptions.
Data and Analytics Skills Will Be Explicit Requirements for More Job Roles in 2022
There will be explicit requirements for data and analytics skills among more job roles in 2022, including customer service, marketing, sales, and operations. To compete and remain driven by data, organizations will look toward data literacy as a way to prepare their staff for the future.
Workforce Development: The importance of sourcing talent from within
Expertise in technologies like cloud, cybersecurity and data storage are facing the biggest skills gaps, and it is now imperative for leaders in all industries to address the skills gaps within their organizations in order to survive and thrive amid digital transformations.
They may be good with numbers but is your finance team good with data?
Data is already transforming the finance function. Despite this, more than half of employees believe their employer is failing to prepare them for a more data-oriented and automated workplace. This blog looks at the disparity between the opportunity that data offers, and the investment needed to make sure teams have the data literacy skills to fulfil it.
Closing the data quality gap
Over the past two years, business leaders have faced unprecedented disruption. As the global economy has sought stability throughout the pandemic, high-quality data has been key to ensuring customers remain at the heart of business operations.
Data Diaries – Enabling Data Literacy through a Self-Service Culture
Tyler Waterfall, Analytics Developer at Qlik, answers questions about what Data Literacy means to him, working with data and the use of self-service platforms by businesses influencing employee data literacy.
The rising tide lifts all ships – enhancing data literacy in global supply chains
The last couple of years have exacerbated underlying issues and exposed systemic flaws in the way we manufacture and distribute the goods and products so many people expect to have easy access to.
Assessing the Validity and Relevance of Data
In a previous article, we discussed the lost art of questioning and its importance when working with data and information to find actionable insights. Here, we will expand on this topic and explain how questioning differs depending on where you are in the data analysis process.