Data Directors: Priorities and Challenges for Data-Driven Companies
Posted: Tue Jan 21, 2025 5:13 am
In a context in which organizations orient their business and activity based on data, data directors or CDOs are central.
In a context where organizations are orienting their business and activity based on data, the role of the CDO ( Chief Data Officer ) is increasingly central. If at one time these executives focused exclusively on ensuring regulatory compliance and overseeing data governance, “today they are responsible for improving business results by enabling broad and consistent use of data.”
In recent years, the power of responsible and intelligent data collection and sharing has become evident . Today, the challenge is to strengthen data management and see how it can be used to improve business performance by achieving a 360-degree view of customers and the entire operation. In this regard, there is much work to be done.
It follows that creating a centralized repository of existing data assets represents an opportunity to drive greater data usability . In turn, organizations need to think not only about their internal data, but also their external data , as IDC research also found that 52% of data originates from external sources .
HubSpot BLOG
Less than half of organizations line database more than 50% of their data. And many companies don't even know what data they have.
Source: IDC
Context and alignment
As you can see, ensuring data quality and data governance are challenges that CDOs still struggle with . Adding context to catalog data is another important challenge that many organizations and data directors face in order to increase efficiency and productivity. And another pending issue is providing self-service access to trusted data : in fact, enabling self-service data while maintaining compliance was reported as a significant challenge by 34% of respondents in the study .
One of the barriers that often arise when implementing a data and analytics program that delivers business value is a lack of alignment between the sales and data organizations : data professionals often “ spend time and money building the infrastructure ( such as a data warehouse, data lake, or data-lakes ) or moving the infrastructure to the cloud . But that approach doesn’t address business use cases and therefore doesn’t satisfy business users .”
In a context where organizations are orienting their business and activity based on data, the role of the CDO ( Chief Data Officer ) is increasingly central. If at one time these executives focused exclusively on ensuring regulatory compliance and overseeing data governance, “today they are responsible for improving business results by enabling broad and consistent use of data.”
In recent years, the power of responsible and intelligent data collection and sharing has become evident . Today, the challenge is to strengthen data management and see how it can be used to improve business performance by achieving a 360-degree view of customers and the entire operation. In this regard, there is much work to be done.
It follows that creating a centralized repository of existing data assets represents an opportunity to drive greater data usability . In turn, organizations need to think not only about their internal data, but also their external data , as IDC research also found that 52% of data originates from external sources .
HubSpot BLOG
Less than half of organizations line database more than 50% of their data. And many companies don't even know what data they have.
Source: IDC
Context and alignment
As you can see, ensuring data quality and data governance are challenges that CDOs still struggle with . Adding context to catalog data is another important challenge that many organizations and data directors face in order to increase efficiency and productivity. And another pending issue is providing self-service access to trusted data : in fact, enabling self-service data while maintaining compliance was reported as a significant challenge by 34% of respondents in the study .
One of the barriers that often arise when implementing a data and analytics program that delivers business value is a lack of alignment between the sales and data organizations : data professionals often “ spend time and money building the infrastructure ( such as a data warehouse, data lake, or data-lakes ) or moving the infrastructure to the cloud . But that approach doesn’t address business use cases and therefore doesn’t satisfy business users .”