How CDOs Can Solve the Top Data and Analytics Challenge

Enterprises have made a lot of progress in becoming data driven over the past several years, but organizations continue to cite one major impediment.

Jessica Davis, Senior Editor

January 11, 2021

4 Min Read
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As organizations look to speed up their digital transformations and technology progress, one of the big strategy questions is, what is the best approach to getting there? When it comes to data, analytics, machine learning and the rest of artificial intelligence, many organizations have appointed a chief data officer to help hasten the process.

Can one person at the top make the right technology purchase decisions and put the program on the fast track to success? Not really.

A new survey of business and technology executives at 85 organizations found that one of the biggest obstacles to becoming data driven organizations over the last five years is not the technology itself. It is actually the people or cultural issues. A full 92.2% identified this as the top challenge in the 2021 survey, up from 90.9% the previous year. But while so many agree that people, business process, and culture are the top impediments for organizations seeking to become data driven, figuring out how to fix it is a tough problem to solve.

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"Just appointing a CDO doesn't make you data driven," said Randy Bean, founder and CEO of NewVantage Partners and co-author of the report. "You have to relentlessly execute on it. There's no book or magic formula for success. Each organization is unique. What works for one organization, won't work for other organizations."

One of the big impediments implementing a data and analytics program that delivers business value is a misalignment between the business organization and the data organization. The data professionals spend time and money building the infrastructure like a data warehouse, data lake, or moving the infrastructure to the cloud. But that focus on the data and analytics infrastructure doesn't satisfy the business use cases and therefore doesn't satisfy the business users, Bean told InformationWeek.

"Data organizations that look at business use cases and let those drive investments tend to be the most successful for a number of reasons," he said. "By doing that they establish credibility within the business and within the organization. That can lead to establishing a level of momentum that results in progress."

While appointing a chief data officer is not a silver bullet for achieving success in being data driven, more organizations than ever are establishing that role. The 2021 survey reveals that 65% of organizations have appointed a CDO, up from just 12% in 2012. The NewVantage report notes that over half of leading companies have established a CDO function and appointed a CDO for each of the past 5 years.

Where do the most successful of these executives come from? In 2021, 44.4% of them are outsiders or external change agents. Another 23.5% in 2021 are company veterans or insiders. Line-of-business executives who own the business results make up 16.1% of CDOs in 2021. Just 8.6% are data scientists or analytics leaders, and only 7.4% are technology executives. The NewVantage report notes that these results represent a slight shift back in favor of company veterans compared to last year when just 15.8% of CDOs fell into that group.

Wherever the CDO comes from, the key to his or her success is in striking a collaborative partnership with the business side of the organization. Bean counsels that these executives should take care with the language they use, too. While their own staff may understand certain terms such as data curation, data fabric, and master data management, that's not the lingo to use with the line of business manager. Don't try to teach them the language either. Just speak to them in terms they will understand, Bean said.


There's a joke out there that CDO actually stands for "chief diplomatic officer," according to Bean. That's because these executives need to work so closely with the business side of the organization.

While many organizations have made great strides in their efforts over the past several years to become data driven, the effort is not yet over. There's still a way to go. Bean compares this effort to the rise of the internet. While web pages may have appeared at the beginning, it took years for this network to get to where it is today. There were different phases to internet development. The same will be true for data and analytics in the enterprise. For many organizations we are just now moving into the second phase of their data driven transformation, Bean said.

"Transformations don't happen overnight," he said. "The reality is that it still takes time. It's a work in progress at the present time."

About the Author(s)

Jessica Davis

Senior Editor

Jessica Davis is a Senior Editor at InformationWeek. She covers enterprise IT leadership, careers, artificial intelligence, data and analytics, and enterprise software. She has spent a career covering the intersection of business and technology. Follow her on twitter: @jessicadavis.

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