Digital Dexterity Leveraged by Knowledge Management

When the work world surfaced in answer to the pandemic, technology got into the business of maximizing efficiency and effectiveness through new designs of different tools in place of the analogue styles of former systems and processes. This became the digital transformation of companies that would reskill their workforce with digital dexterity. These reskilled employees became engaged, diving into new technologies through an uphill learning curve to new processes and new production, a digitally dexterous push to acclimate to new software. Their learning curve was animated with failure but rich in forging forward to learn from their failures – the new digital way of mastering the challenges of technology. Jon Hill [1] explains Digital Dexterity in his blog, What is Digital Dexterity and Why is It Important?

The rise of a digital workforce did not happen in the vacuum of training in a classroom or through virtual attention to instructional videos or recordings.  It was the access to and the wealth of knowledge management platforms that exposed the new workforce to using Artificial Intelligence that allowed learning to take place through hands-on experience with big data and machine learning.

Leaders of the digital transformation of today’s organizations know that understanding the numbers stored in the clouds of data and the insights unlocked by data scientists in machine learning were the learning materials their workforce would need to hone digital dexterity skills. Jon Hill [2] wrote an insightful article for What is Big Data and Knowledge Management? to tie digital dexterity, big data, and knowledge management together in the flow of digital transformation for business outcomes to reach solid decision-making and high productivity.

To transform all your company data into meaningful business outcomes, you must categorize it, synthesize insights from it, and create an effective way to share those insights. This is where big data and knowledge management come together. … it requires special technologies and expertise for accurate management.

It is through the agency of data scientists who translate and interpret data into usable knowledge that provide digital dexterous workforce with accurate knowledge management. Hill says in his article that

Companies use databases to collect and store data from a variety of sources. Big data may be gathered, stored, and used in a variety of types of applications like artificial intelligence, data warehousing, big data analysis, business process management.

This is the job of knowledge management – to be an efficient way to store relevant insights derived from big data and vital information that would be otherwise difficult to find or lost.  So, what is knowledge management?

Knowledge management (KM) is the process of collecting, sharing, and managing information, as well as ensuring your workforce can access the organization’s collective knowledge. In most cases, this is accomplished through a platform (called a knowledge management system) that allows you to store and organize information so teams can learn, collaborate, and become better aligned.

Knowledge management is one of the most important digital tools for workforce leaders and employees, because it gives access to timely and crucial information needed for forecasting, decision-making, and insights to reach company goals.  It also brings customers closer to the company by a personalizing process for customer experiences.

Digital dexterity is without doubt the most foundational competence of today’s workforce when coupled with a knowledge management platform.


[1] Hill, Jon (2022); What is Digital Dexterity and Why is It Important?

[2] Hill, Jon (2022); What is Big Data and Knowledge Management?