“The philosophy has to start at the top,” he went on. “All the people at the top tier of the business need to be able to relate to their peers and feel comfortable asking questions. They need to make sure they understand the strategic goals and objectives for their business, then communicate those down.
they’re working hand in glove across departments. And that makes it easy - If that culture of questions flows top to bottom, everyone down that chain will start to overlap in the right way.”
This led to the discussion of the emerging role of ‘data translator’, a position the trio wondered was necessary.
“We do need those types of roles,” conceded Vip. “But what’s more important is having teams that are both business literate and data literate.”
The End of the CDO?
“I think it’s important for data teams to have an appreciation for what the data means,” he continued. “I once asked a colleague to move half a million rows of data. But to help him understand the importance of the ask, I said, “Those lines represent half a million customers — Think customers, not rows.’”
Juan then argued that workers with a better overall understanding of their business are more likely to ask the right questions and generate more valuable outcomes. This led Tim to question brazil whatsapp number data whether enterprises should invest more time and resources into onboarding new hires so they fully grasp the business model.
As Juan put it, “When you have that knowledge, you ask better questions.”
Vip then suggested that businesses that successfully adopted a culture of clear communication and asking questions would eventually evolve beyond the role of the Chief Data Officer (CDO).
“The businesses of the future won’t have a CDO,” he predicted. “We’ll see more people in C-suites that are both business and tech literate, and the mantra of data will be so embedded in the business, a CDO won’t be needed.”
“Not having a CEO might mean you’ve arrived at a datanirvana,” Vip said. “There’s a time and a place for having a CDO in your org, but organizations that are really tech and data driven will be the first to get rid of those roles.”
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