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How can you improve BI governance and quality over time?

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Business intelligence (BI) is the process of transforming data into insights that can support decision making and performance improvement. However, BI is not a one-time project, but a continuous cycle that requires effective governance and quality management. In this article, you will learn how to improve BI governance and quality over time, by following six practical steps.

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1 Define your BI vision and strategy

The first step is to clarify your BI vision and strategy, which should align with your business goals and objectives. Your BI vision should describe what you want to achieve with BI, and your BI strategy should outline how you will get there. You should also define your BI scope, scope, stakeholders, roles, and responsibilities, as well as your BI principles and standards. Having a clear and shared BI vision and strategy will help you prioritize your BI initiatives, allocate your resources, and measure your progress.

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Miguel Jimenez

Director
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Para mejorar la gobernanza y calidad del BI, establece un marco de gobernanza de datos claro, implementa herramientas de calidad de datos y promueve una cultura organizacional que valore la toma de decisiones basada en datos. Realiza monitoreo y auditorías continuas para asegurar la adherencia a las políticas de gobernanza, y fomenta la colaboración entre departamentos. Adopta un enfoque de mejora continua, utilizando feedback para afinar procesos y herramientas de BI. La gestión efectiva de la metadata también es crucial para mantener la calidad y comprensión de los datos a lo largo del tiempo.

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Pablo Arévalo Celi

Vicepresidente de Data | Chief Data & Analytics Officer - VERIS S.A.
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Cultura de datos - Fomentar responsabilidad y uso ético de los datos - Implementar políticas y procesos claros de la gestión de datos Gestión de datos -Implementar un marco de trabajo para la gestión del ciclo de vida de los datos -Asegurar la calidad, la seguridad y el acceso a los datos Arquitectura de datos -Dise?ar una arquitectura de datos robusta y escalable -Implementar soluciones tecnológicas adecuadas para la gestión y el análisis de datos Monitoreo y medición -Monitorear el uso y el impacto de la información de BI -Medir el retorno de la inversión (ROI) en BI Mejora continua -Implementar un ciclo de mejora continua para la gobernanza y la calidad de BI -Adaptar las prácticas de BI a las necesidades cambiantes del negocio

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2 Establish your BI governance framework

The second step is to establish your BI governance framework, which is the set of policies, processes, and structures that guide and control your BI activities. Your BI governance framework should cover aspects such as data governance, data quality, data security, data privacy, data ethics, data literacy, data architecture, data integration, data analysis, data visualization, data reporting, and data storytelling. Your BI governance framework should also specify how you will monitor, evaluate, and improve your BI performance and outcomes.

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3 Implement your BI quality measures

The third step is to implement your BI quality measures, which are the criteria and indicators that assess the accuracy, completeness, consistency, timeliness, relevance, and usability of your data and BI outputs. Your BI quality measures should be aligned with your BI vision and strategy, and your BI governance framework. You should also define your BI quality targets, thresholds, and tolerances, as well as your BI quality roles and responsibilities. You should use tools and techniques such as data profiling, data cleansing, data validation, data auditing, data testing, data certification, and data feedback to ensure and enhance your BI quality.

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Niloy Biswas

Senior BI & Data Analyst | SQL & Data Science Expert | Data Visualization & Storytelling Specialist | Empowering Data-Driven Decisions in EdTech
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Ensuring the accuracy, consistency, and reliability of data is fundamental. Implementing comprehensive data quality measures, including validation checks, data cleaning processes, and regular audits, can help maintain high data quality. In my role, I've found that automating these processes where possible can significantly enhance efficiency and consistency.

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4 Communicate your BI value proposition

The fourth step is to communicate your BI value proposition, which is the statement that summarizes the benefits and advantages of your BI solutions for your business and your users. Your BI value proposition should be clear, concise, and compelling, and it should highlight how your BI solutions can help your business achieve its goals and objectives, solve its problems and challenges, and satisfy its needs and expectations. You should also communicate your BI value proposition to your internal and external stakeholders, using various channels and formats, such as presentations, newsletters, blogs, videos, podcasts, webinars, and case studies.

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5 Engage your BI users and champions

The fifth step is to engage your BI users and champions, who are the people who use, promote, and support your BI solutions. Your BI users and champions are essential for your BI adoption and success, as they can provide you with valuable feedback, insights, and suggestions, as well as help you spread the word and influence others. You should also involve your BI users and champions in your BI design, development, testing, deployment, and improvement processes, using methods such as surveys, interviews, focus groups, workshops, co-creation, prototyping, and pilot testing.

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6 Review and refine your BI practices and processes

The sixth and final step is to review and refine your BI practices and processes, which are the actions and tasks that you perform to deliver and maintain your BI solutions. You should regularly review and refine your BI practices and processes, based on your BI vision and strategy, your BI governance framework, your BI quality measures, your BI value proposition, and your BI users and champions feedback. You should also use tools and techniques such as benchmarking, best practices, lessons learned, audits, reviews, and continuous improvement to optimize and enhance your BI practices and processes.

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Sarah Grace Thornton

Sponsored Financial Analyst III @ Cornell University | Financial Reporting | Accounts Receivable | Audit Specialist | Internal (FIN115) Instructor
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In BI, constant review and refinement are key. Align practices with company vision, adhere to governance standards, track quality metrics, measure value, gather user feedback, and use tools like benchmarking and audits for improvement. Stay agile and ensure BI remains impactful and aligned with business goals. #BusinessIntelligence #ContinuousImprovement

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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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How can you improve BI governance and quality over time?

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3

4

5

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7

1 Define your BI vision and strategy

2 Establish your BI governance framework

3 Implement your BI quality measures

4 Communicate your BI value proposition

5 Engage your BI users and champions

6 Review and refine your BI practices and processes

7 Here’s what else to consider

Information Systems

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How can you improve BI governance and quality over time?

1

2

3

4

5

6

7

1 Define your BI vision and strategy

2 Establish your BI governance framework

3 Implement your BI quality measures

4 Communicate your BI value proposition

5 Engage your BI users and champions

6 Review and refine your BI practices and processes

7 Here’s what else to consider

Information Systems

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