James F Kenefick technology header 8

To say that data has massive potential for businesses would be an enormous understatement. There are things such as sales patterns, raw product numbers, and so much more that can help a business emphasize strengths and improve weaknesses.

Tackling all of the raw data available to a business, and understanding how to implement it best is part of the challenge. There is too much data for businesses to analyze on their own to truly have an impact. This is where AI, as well as data skills frameworks, come into play.

 

Using Data Skills Frameworks

Data skills frameworks help identify what is known as siloed initiatives, whether data protection, data analytics, or data science. This might involve teams or projects that are doing work essential to the business but fail to make the kind of expected strategic impact.

The skills framework helps to identify whether the project’s skills to make an impact are being employed. For instance, if a new data analytics tool is being implemented, it won’t work unless it is employed with effective change practices.

More Than a Business Issue

There is a general fear that automation and AI will take away jobs from actual people. This is a general fear of being left behind. The problem with fear such as this is that it generates reactions that are not helpful, and that hurt the business, the individual, or both.

Data skills frameworks show that there is a place for a wide range of skills. This can be creating value, boosting usability, or classifying data, among other things. It is more about helping people be more comfortable about working with data in their given roles.

These data skills frameworks are just one of the many tools that businesses can use to get the most out of their data. It is an ongoing process that continues to evolve, but businesses everywhere are doing more to utilize that data.