Article

Bridging the gap: Enhancing data governance for innovation and ethical standards

Current trends and challenges across industries
Published

8 April 2025

In today's data-driven world, effective data governance is essential for organisations to unlock the full potential of their data while upholding ethical standards and ensuring privacy. The Data Governance Survey provides a comprehensive snapshot of current trends and challenges across industries such as Banking & Finance, Media, Consulting & Management, Pharma/Healthcare, FMCG, Health & Psychiatry, and Traffic.


This article highlights key findings from the survey, focusing on execution gaps, satisfaction levels, governance maturity, and areas for improvement. By addressing these insights, organisations can strengthen their data governance practices and drive innovation.


Working within the field of data governance across global organisations, the focus on data quality and operational excellence remains central to the business value proposition. Efforts to create a functional organisation that effectively utilises business-centric data require significant investment before yielding results. It can be frustrating when technological challenges hinder implementation, organisational changes derail improvement initiatives, or when a data strategy fails to deliver the expected outcomes


Based on our observations and experience, we wanted to take a broader look at how data governance is perceived across organisations. For some, it is a strict regulatory requirement; for others, it is a business benefit that simply oils the machine. Either way, the truth likely lies somewhere in between, and we were curious to see where.


Disclaimer:
The survey received responses from a limited number of key personas, all closely involved with data as a business-centric enabler. Over 63% of respondents work in large organisations (1,000+ employees), which makes the recommendations more directly relevant to them, while still being broadly applicable across different sectors.


Understanding current data governance trends

The data from the survey helps us focus on where content and context truly matter. We wanted to explore two crucial factors that we believe are key to the success of any data governance initiative: people and technology.


At Implement, we believe that both elements – people and technology – deserve a deep dive to fully understand and assess their impact, as they are fundamental to driving overall business performance. To succeed, it is crucial to understand the capabilities within each area, as harmonising them effectively is key to achieving success.


When it comes to people, we decided to explore various areas such as vision, culture, roles, leadership, and ethics. Each of these topics is critical and deserves thorough exploration, as they hold the essential depth needed to establish a strong sense of purpose from a human perspective. When it comes to technology, we examined areas such as data architecture, data quality, security, tooling, and innovation. Mastering these topics is essential for building the functional capability needed to drive success.


The gist

Key findings from the survey reveal a clear gap between the recognition of the value of data-driven approaches and their actual execution. While many organisations acknowledge the importance of fostering a data-driven culture and using data for innovation, execution often falls short due to inefficiencies in data quality tools, lineage tracking, automation, and infrastructure modernisation. This disconnect highlights the need for organisations to invest in the necessary tools and infrastructure to fully leverage the potential of a data-driven strategy.


Overall satisfaction with current data governance setups averages 5.7 out of 10, with individual ratings ranging from 5 to 6.5. Limited adoption, usability issues, and inconsistent automation are key obstacles preventing organisations from fully realising their data governance capabilities. While there is some satisfaction, these issues indicate significant room for improvement in adoption, usability, and the overall effectiveness of data governance tools.


Many organisations struggle with governance maturity. Few have excelled in this aspect, often facing challenges like unclear roles, insufficient accountability, and weak frameworks. Interestingly, operational teams are generally more experienced and prepared than leadership in driving governance initiatives. This suggests that organisations must prioritise clarifying roles and responsibilities, strengthening accountability, and building more robust frameworks to improve governance maturity.


On a positive note, organisations exhibit strong adherence to ethical standards and data privacy laws, providing a solid foundation in these areas. This commitment reflects a positive trend in ensuring ethical practices and regulatory compliance, which is essential for building trust and maintaining data integrity.

Download the survey

Read more about the current data governance trends and challenges across industries.

Download the survey here

Opportunities for improvement


There are several key opportunities for improvement in data governance practices that organisations can focus on. One such opportunity is the development of user-friendly data catalogues and dictionaries. By creating resources that enable stakeholders to easily locate, understand, and use organisational data, organisations can bridge the gap between recognising the value of data and executing its potential. These tools can make data more accessible and usable for all stakeholders, ultimately enhancing overall efficiency.


Another important area is leadership training. Providing leaders with the training and resources needed to align with and empower their data teams can help leverage the teams' expertise to drive governance initiatives. This approach can address the gap in governance maturity by ensuring that leadership is well-equipped to support and actively drive data governance efforts.


Building a strong foundational infrastructure is also crucial. Organisations need to establish well-designed architectural frameworks that address existing gaps and ensure consistent data governance. This improvement to infrastructure can contribute to higher satisfaction levels by offering a more reliable and robust data governance system.


Benchmarking against market leaders in data governance is another valuable strategy. By analysing the practices of organisations that excel in this field, businesses can identify key success factors and establish stronger standards. This will help organisations develop a roadmap for improving their data governance maturity and practices.


It is also essential to align strategy with broader business goals. Prioritising this alignment can demonstrate the value of data governance to stakeholders, making it easier to gain their buy-in and enthusiasm for governance initiatives. When stakeholders see how these efforts contribute to the overall success of the organisation, they are more likely to support them.


Lastly, creating comprehensive, role-specific training programmes is key to addressing critical gaps in data governance. By ensuring that all stakeholders have the necessary skills and knowledge to effectively engage with data governance, organisations can improve satisfaction levels and empower everyone involved to participate meaningfully in governance efforts.


Moving forward with data governance


The survey highlights the need for organisations to enhance buy-in and enthusiasm for data governance initiatives. This can be achieved by improving clarity on data-driven activities, ensuring consistent communication from leadership, and providing fundamental user training.


By addressing these areas, organisations can better leverage their overall data capabilities and drive innovation while maintaining strong ethical standards and data privacy in accordance with regulatory requirements.


The survey also underscores the importance of aligning data governance strategies with broader business goals and benchmarking best practices to achieve higher governance maturity. Progress can be seen as the organisation matures and data is brought under control.


Ultimately, by focusing on these key areas, organisations can create a more robust and effective data governance framework that supports their overall business objectives and drives long-term success.

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