The conventional understanding of hard work versus smart work lies in the time one invests in completing tasks. Hard work often means spending vast amounts of time tackling numerous tasks. In contrast, smart work is characterized by spending less time but focusing on prioritizing and completing the most crucial tasks.
By leveraging the right tools and methodologies, individuals are empowered to perform optimally. People with more experience, combined with the ability to learn and adapt, typically outperform others.
It's sad to see repetitive mistakes, as if we're unable to learn from past experiences. This observation is particularly relevant for data migration projects. Time and again, we witness organizations – specifically, the practitioners within them – resorting to the same flawed strategies and tools. Occasionally, I wonder if their goal is merely to accumulate hours of work rather than seeking innovative ways to deliver value quickly to their clients. Such practices either serve to inflate profits (in the case of external consultants or contractors) or give an illusion of productivity while concealing incompetence.
Unfortunately, in many organizations, data migrations aren't a primary focus for management—until things go awry, costs escalate, and delays occur. By the time the repercussions are acknowledged, it's often too late to rectify the situation.
So, what's the solution? Management overseeing these migrations, along with the practitioners executing them, need to pause and strategize. It's essential to learn from others if one lacks firsthand experience. A keen observation will reveal that there are both effective and ineffective approaches and tools for data migration. Why not opt for the superior alternative?
While we might not be revolutionizing the world, in our specialized domain of data migration, it's imperative that we strive for excellence and employ the best practices available."
JUST A THOUGHT by Sune Visti Petersen