Chief Analytics Officer Vs Chief Data Officer: What’s The Difference?
Data executives are essential for a clear business strategy research as data-driven innovation has been critical for many years now. Of all the C-Level executives, there are only a few positions that deal with data. Two of the most popular ones include chief analytics officer, aka. Head of analytics, and chief data officer. But what is the fundamental difference between the two job roles?
In this article, we will compare the two and bring out similarities and differences.
Chief analytics officer as a name suggests is a senior manager, which is responsible for the analytics operations within a company. The designation may also be known as the head of analytics, or chief analytics officer (CAO) is a fast-rising job role among senior-level management within companies.
A chief analytics officer is responsible for digital transformation by making decisions based on the insights obtained from data, which is backed by data science techniques. While in most cases, chief analytics officers report directly to the CEO, it may not be the case, and head of analytics in many cases report to either chief information officers (CIOs) as well.
Day-to-day activities of the head of analytics/chief analytics officer include collecting data and using it to create business intelligence models. Chief analytics officers also interact with chief information officers in regard to the infrastructure needed for analytics operations. So, their focus is on creating business-oriented decisions by using the data that is available within an organisation, whether that data is from marketing, sales, and other operations.
CAOs also develop data warehouses as a central repository for all information within a company as well as formula data governance and management frameworks. Reporting and visualisation tools may also be led by chief analytics officers.
Contrarily, a chief data officer (CDO) is a technology leadership role in regard to data management and working on data quality in data processes.
