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Here's how you can navigate conflicts between data governance policies and business objectives.

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Navigating the delicate balance between data governance policies and business objectives can be challenging. Data governance involves a set of processes that ensures important data assets are formally managed throughout the enterprise, while business objectives often push for strategic decisions that may prioritize speed and innovation. The key is to find a harmonious approach that satisfies both the need for data protection and the desire for business growth. Understanding this balance is crucial for your organization's long-term success, as it helps maintain data integrity and compliance without stifling opportunities for advancement.

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Clinton Jones

"Features seldom used or undiscovered are just unclaimed technical debt" I engage on Software Engineering and all…
Abhishek K

Data Privacy SME @IQVIA | Healthcare Data Privacy & Transparency | Clinical Data Science | Implementing AI in Healthcare
Prachi Pandey

Transforming Data into Business Value | Indian Institute of Foreign Trade, New Delhi

1 Understand Goals

To navigate conflicts between data governance policies and your business objectives, you must first understand the goals behind each. Data governance aims to ensure data quality, security, and compliance with regulations such as GDPR (General Data Protection Regulation). On the other hand, business objectives typically focus on growth, profitability, and competitive advantage. Recognizing that these are not mutually exclusive can be the starting point for finding solutions that serve both purposes. Empathy towards the needs of different stakeholders will be your guide in aligning these goals.

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Nevin Jency

JPMorganChase & Co. | Chief Data Office
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Some of the DG goals won't be directly linked to the business objectives such as in case of compliance with privacy laws, the business might not gain anything out of it, rather it would help your org become compliant and avoid hefty fines in the future.

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Silvia Irianni

IT Professional - Subgerente de Data & Analytics
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Según mi experiencia, contar con datos de calidad implica una ventaja muy importante para alcanzar los objetivos empresariales y ambos objetivos están interconectados. Un gobierno de datos de calidad implica que los datos que utilicemos para alcanzar nuestras metas empresariales arrojarán resultados precisos e incuestionables, sobre todo si estamos hablando de resultados que serán evaluados por entes reguladores y eventualmente accionistas. Además, al contar con datos correctos y oportunos contribuye a la toma de decisiones estratégicas acertadas. En resumen, ambos objetivos están fuertemente ligados

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Prachi Pandey

Transforming Data into Business Value | Indian Institute of Foreign Trade, New Delhi
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Ensure that data governance policies are aligned with the strategic goals and priorities of the business. Engage stakeholders from different business units to understand their objectives and requirements, and tailor data governance policies accordingly.

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2 Prioritize Flexibility

Flexibility in your approach can significantly ease conflicts between data governance and business objectives. Rather than seeing governance as a set of rigid rules, consider it a framework that can adapt to different scenarios. This means establishing policies that are broad enough to accommodate unforeseen business needs, yet specific enough to maintain control over data management. Encourage open dialogue between data stewards and business teams to regularly review and adjust policies in response to changing business landscapes.

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Silvia Irianni

IT Professional - Subgerente de Data & Analytics
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La flexibilidad en el marco del gobierno de datos es fundamental para adaptarse a un entorno dinámico tanto dentro de la empresa como en los entes reguladores a los cuales estamos brindando información. Los principales aspectos a tener en cuenta son: 1 - Flexibilidad en las politicas implementadas para realizar el gobierno de datos 2 - Posibilidad de contar con un repositorio al cual puedan acceder diferentes gerencias para poder compartir los datos 3 - Proteccion de la privacidad

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Prachi Pandey

Transforming Data into Business Value | Indian Institute of Foreign Trade, New Delhi
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Strive to strike a balance between regulatory compliance and innovation by designing flexible data governance policies that accommodate business needs while ensuring compliance with legal and regulatory requirements. Build flexibility into data governance policies to accommodate unique business scenarios and exceptions. Establish procedures for requesting exceptions to policies and review processes to ensure that they are granted judiciously and in alignment with business objectives.

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3 Foster Collaboration

Collaboration is essential when aligning data governance policies with business objectives. Create cross-functional teams that include both data governance professionals and business unit leaders. This integration allows for a shared understanding of how data governance supports business goals and vice versa. Through collaborative efforts, you can develop governance practices that are not only compliant but also enhance business operations, leading to innovative and efficient use of data.

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Silvia Irianni

IT Professional - Subgerente de Data & Analytics
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La coloboración y la implicación en las políticas de la empresa en cuanto al gobierno de datos es fundamental para llegar a un gobierno exitoso y además poder mantenerlo. Hay que identificar al due?o del dato, explicar el beneficio que trae aparejado tener datos confiables y establecer mediante indicadores tableros de control para que pueda realizar un seguimiento de la calidad de los datos a su cargo en todo momento

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4 Leverage Technology

Leveraging technology can help resolve conflicts between data governance and business objectives. Utilize data management tools that provide flexibility, automation, and real-time monitoring to ensure compliance while supporting business agility. These technologies can help reconcile the need for strict data controls with the demand for quick access to data for decision-making purposes. By investing in the right tools, you can streamline governance processes and empower your business teams with timely and accurate data.

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5 Communicate Clearly

Clear communication is vital when managing the intersection of data governance policies and business objectives. Ensure that all stakeholders understand the importance of governance and how it can benefit business operations. Use language that resonates with business leaders, focusing on how data governance can enable better decision-making and risk management. By demystifying data governance and highlighting its value proposition, you can build support for governance initiatives across the organization.

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Prachi Pandey

Transforming Data into Business Value | Indian Institute of Foreign Trade, New Delhi
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Educate stakeholders about the importance of data governance in achieving business objectives such as improved decision-making, risk mitigation, regulatory compliance, and customer satisfaction. Highlight the potential risks and costs associated with poor data governance practices, such as data breaches, regulatory fines, and reputational damage.

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6 Monitor Progress

Monitoring progress is a crucial step in reconciling data governance with business objectives. Establish metrics to track the effectiveness of governance policies in supporting business goals. Regularly assess whether these policies are too restrictive or too lenient and adjust accordingly. By keeping a close eye on how well your governance framework is performing, you can continuously refine it to better serve your organization's strategic ambitions while ensuring data integrity and compliance.

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Abhishek K

Data Privacy SME @IQVIA | Healthcare Data Privacy & Transparency | Clinical Data Science | Implementing AI in Healthcare
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Continuous Monitoring and Adaptation: ??Regularly monitor the impact of data governance policies on business outcomes. Be open to adjustments and adapt policies as needed to maintain alignment with evolving business objectives. ??Leverage industry best practices for data governance. Consider data catalogs, metadata management, and data lineage tools. Align these practices with business priorities.

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Prachi Pandey

Transforming Data into Business Value | Indian Institute of Foreign Trade, New Delhi
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Establish metrics and Key Performance Indicators (KPIs) to measure the impact of data governance policies on business objectives. Regularly communicate progress and success stories to stakeholders, demonstrating the tangible benefits of effective data governance in driving business outcomes.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Clinton Jones

"Features seldom used or undiscovered are just unclaimed technical debt" I engage on Software Engineering and all things #ProductManagement
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If you are able to tie direct business value, then this makes for a compelling initiative. Value can come in the form of costs avoided, costs reduced or indirect business benefits like acceleration of initiatives that are data bound.

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Here's how you can navigate conflicts between data governance policies and business objectives.

1

2

3

4

5

6

7

1 Understand Goals

2 Prioritize Flexibility

3 Foster Collaboration

4 Leverage Technology

5 Communicate Clearly

6 Monitor Progress

7 Here’s what else to consider

Data Governance

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Here's how you can navigate conflicts between data governance policies and business objectives.

1

2

3

4

5

6

7

1 Understand Goals

2 Prioritize Flexibility

3 Foster Collaboration

4 Leverage Technology

5 Communicate Clearly

6 Monitor Progress

7 Here’s what else to consider

Data Governance

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