Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this new regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace. We invite submissions with a focus on our favored technology topics areas: big data, data science, machine learning, AI and deep learning. Enjoy!
Embracing 2022 digital transformations through data training programs. Commentary by Dmitri Adler, Chief Solution Architect, Data Society
"As companies continue their digital transformation journeys in 2022, it’s essential to take a retrospective look back and assess an organization’s triumphs and pitfalls while considering priorities for the new year. Some companies that spent the last two years pivoting to a hybrid working model by investing in platforms and technologies for their employees have struggled to yield tangible results with these new tools and are left unsure as to why. Once the tools and training platforms are put in place, measuring success and business impact becomes key. Training platforms can provide teams with the data skills and technological expertise to set them up for lasting success. Leaders must have quantifiable metrics to support these investments and measure efficacy in a way that ties training investment to actual business successes. Most executives understand the necessity to embrace technology and equip their employees with data literacy skills to enhance their efficiency and potential. Still, endeavors will fall flat without proper instruction, oversight of these initiatives, and directly related projects that give employees the opportunity to show off their skills and managers a way to demonstrate progress. At the outset of 2022, leaders should take a step back and determine measurable business objectives and baselines that can be achieved through reskilling, producing long-term benefits, and streamlining approaches to everyday projects. "
