How to close the skills gap in a data-centric world

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Despite collecting more data than ever, organizations have found themselves unable to utilize this data in a meaningful way. Nearly all data that is stored is never analyzed for actionable or quantifiable results and 1 in 3 decision-makers believe they may be making decisions based on faulty data. The IBM Institute for Business Value stated that 85% of organizations will fail to exploit data for a competitive advantage. A significant part of the problem stems from a failure to address the data skills gap.

The Problem of the Data Skills Gap

In 2015, big data was set to create 1.9 million jobs in the U.S. proving that organizations rely upon their data and their data-savvy employees. Nevertheless, there are still very few professionals who are specialized enough to harness the power behind big data. The talent that is necessary to maintain their data is lacking, because of a failure to bring employee skills up to date.
There is a great demand for data skills; and professionals who invest in improving their skill sets will become extremely sought after. Likewise, professionals who are lacking data knowledge may increasingly find it more difficult to compete. New skills are required to unlock real value from unstructured data and require specific training in software frameworks, such as Hadoop, or databases like noSQL, Cassandra or HBase, and programming languages and facilities like R or Pig. IT employees must also be business savvy to understand which questions will lead to unearthing real value and to measure and communicate this data to line of business managers.
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Creating a Data-Centric Culture

To fully understand what skills are needed, organizations need create a big data strategy to understand the business value of investing in upgrading their IT teams skill set. Organizations facing a data skills gap have two options: 1) they can pay a premium for extremely sought after talent, or 2) they can develop their talent in-house.
Data that organizations are collecting is expanding at an alarming rate and most of the big data is too unstructured to be managed without the right skills. Continued education, certifications and training on new technology and skills to manage big data can close the IT skills gap needed to interact with a more data-focused world. This investment within the company’s talent will ultimately create a culture that thrives on and values its data.
To learn more, download Arrow’s special white paper: Combatting the Big Data Skills Gap.

Closing the Data Skills Gap

Big data insights are necessary to grow and remain competitive in a fast-changing world. Insights will influence future business decisions, thus reinforcing the importance of improving upon the talent and skill pool within an organization. Decision-makers need to ensure that their data is being protected and analyzed at all levels, rather than simply being collected, warehoused and then, ultimately, ignored.
Any investment in training has to be made with a return on that investment in mind. Your Arrow representative works to understand your organization’s goals and current IT skills gap and will help you establishe a custom curriculum education plan to upgrade the targeted skills for your team.
Contact your Arrow representative today for more information.

Last modified: May 3, 2019