7. Be Technology Savvy and Understand the Latest Trends
A CDO deals with both the IT as the business aspects of Big Data and should, therefore, understand the concepts of data mining, artificial intelligence, machine learning, data modeling and data governance. Not only from the business perspective, but also from the IT perspective. In addition, the world of big data changes rapidly and new big data trends constantly emerge; he or she should, therefore, remain up-to-date with the latest trends.
8. Be Open to Input from Others
The CDO should not be the only one calling the shots. Of course, when a decision needs to be made on important, company-wide projects, the CDO should, together with the rest of the board, make the decision. However, a CDO should also empower his/her employees to make their own decisions within their projects. The Chief Data Officer should give control to his or her staff and should avoid micro-managing them.
9. Be Customer-Driven
When dealing with Big Data, organizations should take the customer into account in everything they do. This human-centered approach is vital. When projects are developed based on the actual needs of the customer, the chances of success are a lot higher. In addition, when developing big data projects, the CDO should ensure that the customer does not become the victim in terms of lost privacy and should ensure that the customer’s privacy is protected.
10. Be Security Driven
My vision is that all organizations will be hacked and if you are not being hacked, you are simply not important enough as an organization. Therefore, a CDO should have a strong security focus. As a CDO, the starting point should be that you will be hacked and if that’s the case, how do you prevent that hackers get access to any personal data or important company data or systems. A CDO should enforce the right security processes, implement the right encryption measures and use right IT Operations Analytics tools to detect attacks in real-time.
11. Be a Visionary Leader
A CDO needs to have a vision where he/she wants to bring the company to in the next 5-10 years. As mentioned Big Data projects take a lot of time to be completed and a strong and clear vision will help to complete the projects in the right way.
12. Be a Change Manager
Big data requires a culture change within the organization. Moving to a data-driven and information-centric culture is difficult as people have a natural inertia to change. Therefore, the Chief Data Officer should be a strong change manager, who is capable of changing people’s behavior within the company.
*This article was featured in our Leadership Newsletter series. To sign up for this free publication, click here.