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Last updated on 2024年8月23日

Your team's data accuracy is challenged by a key client. How will you restore their trust?

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Facing a challenge to your team's data accuracy from a key client can be a daunting situation. It's essential to approach this issue with a clear plan to restore trust and ensure that your data governance practices are up to par. Data governance involves the overall management of the availability, usability, integrity, and security of the data employed in an organization. It's a critical aspect of ensuring that data is accurate and trustworthy. When trust is shaken, it's not just about fixing the immediate issue, but also about demonstrating a commitment to ongoing quality and reliability in your data management processes.

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Ram Kumar

Executive with international career experience (APAC, MEA, EUROPE, LATAM, NA) and has held roles as CEO, CIO, CTO CDAO,…
Dan Blake

Data and Technology | Financial Crime, Sanctions, AML & KYC SME | Harvard Business Review Advisory Council member
Jean-Pierre Lecocq

Enfermero | Administración y gestión estratégica | Calidad | Humanización en salud.

1 Acknowledge Issue

When your client questions the accuracy of your team's data, the first step is to acknowledge their concerns promptly . This demonstrates your commitment to transparency and sets the stage for rebuilding trust. Take responsibility where necessary and assure the client that you are taking their concerns seriously. It's important to communicate that you understand the gravity of the situation and are dedicated to resolving any issues swiftly and effectively.

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Ram Kumar

Executive with international career experience (APAC, MEA, EUROPE, LATAM, NA) and has held roles as CEO, CIO, CTO CDAO, Chief Architect and as Board Member. AI (core R&D & commercial use) & Data Practitioner since 1986.
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All the points are great. Data Quality is an organisation issue and it requires people, process and technology to address this in an integrated manner. The culture of data quality by design is critical and this requires accountability from the top with support and responsibility from the bottom of the organisation. This is the biggest challenge as it requires cultural change. Technology fixes, process fixes and fixing governance processes are easy bits.

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Dan Blake

Data and Technology | Financial Crime, Sanctions, AML & KYC SME | Harvard Business Review Advisory Council member
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Thank the client for bringing the issue to your attention and listen carefully to their concerns, impact, and pain points! In Acknowledging the issue, provide a timeline for when you will provide the next progress update and the actions you will need to perform to investigate, document evidence, remediate, or improve processes to minimize future occurrences like this happening again. This helps start setting the expectations that the client can understand it will take a while to discover why this has occurred. The real fun begins when the data accuracy is right and the client does not like the results of what the data is telling them as it does not fit their narrative.

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2 Assess Data

Once you've acknowledged the issue, it's time to conduct a thorough assessment of the data in question. This involves diving deep into your datasets to identify any inaccuracies or inconsistencies. You'll need to review your data collection, storage, and processing procedures to pinpoint where things might have gone wrong. During this phase, it's crucial to be meticulous and comprehensive, leaving no stone unturned, as the integrity of your data governance relies on this accuracy.

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3 Implement Fixes

After identifying the inaccuracies, the next step is to implement fixes. This could involve correcting data entries, enhancing data validation processes , or improving data collection methods to prevent future errors. It's essential that you not only address the immediate inaccuracies but also take proactive measures to improve your data governance framework to prevent similar issues from arising in the future.

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4 Communicate Actions

Clear communication with your client about the actions you're taking is vital. Provide them with a detailed plan of how you intend to address the data inaccuracies and what steps you're taking to enhance your data governance practices . By keeping the client informed at every stage, you're showing them that their concerns are being acted upon and that you're committed to maintaining high data quality standards.

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5 Monitor Progress

After implementing fixes , it's crucial to monitor progress and ensure that the changes are effective. Establish metrics and KPIs (Key Performance Indicators) to track improvements in data accuracy . Regularly report these findings back to your client to demonstrate the tangible steps being taken to uphold data integrity. Continuous monitoring also helps you quickly identify and address any new issues that may emerge.

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6 Review Practices

Finally, conduct a comprehensive review of your data governance practices . This should be an ongoing process where you periodically reassess your protocols, policies, and procedures to ensure they align with best practices and meet your client's expectations. This review should also include feedback from the client to understand their concerns better and to make sure that your data governance efforts are aligned with their needs.

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Jean-Pierre Lecocq

Enfermero | Administración y gestión estratégica | Calidad | Humanización en salud.
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La generación de informes de aprovechamiento, que incluyen datos de referencia y contrarreferencia, es fundamental para mantener la confianza del cliente/usuario. Proporcionar informes con datos cuantificables y cualificables asegura la transparencia del servicio ofrecido. Este enfoque permite no solo evaluar el rendimiento y la eficacia del servicio, sino también identificar áreas de mejora y demostrar un compromiso claro con la calidad y la precisión de los datos presentados. La transparencia en la presentación de estos informes fortalece la relación con el cliente y fomenta la confianza en el servicio. Normar ciertos aspectos en la entrega de información ayuda al clie/us. a pedir transparencia en el proceso de tratamiento de datos.

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Your team's data accuracy is challenged by a key client. How will you restore their trust?

1

2

3

4

5

6

1 Acknowledge Issue

2 Assess Data

3 Implement Fixes

4 Communicate Actions

5 Monitor Progress

6 Review Practices

Data Governance

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Your team's data accuracy is challenged by a key client. How will you restore their trust?

1

2

3

4

5

6

1 Acknowledge Issue

2 Assess Data

3 Implement Fixes

4 Communicate Actions

5 Monitor Progress

6 Review Practices

Data Governance

给文章评分

感谢您的反馈

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