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As we mentioned in a previous article, Data Governance has become a fundamental pillar for any organization that seeks to fully leverage the value of its data and remain competitive in an ever-changing business environment.

However, a common mistake some organizations make is developing the data management program as new IT capabilities, underestimating the complexity and interdisciplinary scope required for a successful approach to Data Governance.

Data management cannot simply be a matter of technology or adding new capabilities to existing IT systems, as while technology is a critical component of Data Governance, focusing solely on IT capabilities can lead to significant challenges that affect the overall effectiveness of the program.

One of the main problems with developing the data management program as new IT capabilities is that it can result in a fragmented and uncoordinated approach. Data Governance is a multifaceted discipline that involves people, processes, and technology, and without an integrated vision, it could lead the organization to implement isolated solutions that do not align with a coherent strategy, resulting in disorganized and underutilized data.

Additionally, focusing only on IT capabilities can lead to a lack of alignment with business needs and objectives. Data Governance is a business effort that must be supported by a clear understanding of business challenges and opportunities.

The lack of connection with the organization’s real needs can result in the implementation of solutions that are not relevant or that do not generate a significant impact on the overall business performance.

Another challenge is that developing the data management program as new IT capabilities can overlook the human aspect of Data Governance, where organizational culture and behavior change are essential for the success of the Data Governance program. It is crucial to engage key stakeholders and foster a data-driven culture that promotes collaboration and commitment to the proper and ethical handling of information.

To avoid this mistake in Data Governance, it is important to adopt a more holistic and strategic approach. Here are some key recommendations:

  1. Establish a clear vision and strategy: Before implementing any IT capability, it is essential to establish a clear vision and strategy for the Data Governance program, which involves defining business objectives, identifying key data challenges, and planning how to address them effectively.
  2. Engage key stakeholders: It is essential to involve key stakeholders at all stages of the Data Governance program. This includes executive leaders, business teams, IT professionals, and any other relevant parties.
  3. Consider the human aspect: The importance of organizational culture and behavior change in Data Governance should not be underestimated, so it is essential to invest in employee training and awareness regarding the importance of data and how they can contribute to the success of the program.
  4. Evaluate existing technological capabilities: Before developing new IT capabilities, it is important to assess the existing technological solutions in the organization. This will allow identifying possible synergies and optimizing technology investment.

“Collaboration and open communication are essential to achieving successful Data Governance.”

In conclusion, developing the data management program as new IT capabilities is a mistake that can limit the effectiveness and reach of Data Governance within an organization. A more holistic and strategy-centered approach, which includes technical, cultural, and business aspects, will be critical to achieving successful Data Governance and fully leveraging the value of data in the digital age.

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