O que você faz se encontrar problemas de qualidade de dados como estagiário de Business Intelligence?

Si encuentro problemas de calidad de datos, lo primero que hago es identificar y documentar los errores específicos, como duplicados o valores faltantes. Luego, informo a mi supervisor o al equipo encargado para asegurar que el problema sea revisado. Si es posible, ofrezco soluciones, como usar herramientas de limpieza de datos o realizar validaciones manuales. Mi objetivo es siempre aprender del proceso y contribuir a mejorar la calidad de los datos en el equipo.

As a BI intern, I once encountered significant data inconsistencies in our sales reports. I developed a systematic approach to flag anomalies, using SQL queries to compare data across different sources. This method uncovered a 15% discrepancy in our revenue calculations due to incorrect currency conversions. How do you approach data quality checks in your projects? I've found that creating automated validation processes not only improves data accuracy but also demonstrates initiative and technical skills valuable for career growth.

Identificar los Problemas de Calidad de Datos Los problemas más comunes de calidad de datos incluyen: Datos incompletos (campos faltantes o en blanco). Datos duplicados (registros repetidos). Datos inconsistentes (mismos datos representados de diferentes maneras). Datos incorrectos (errores de entrada o valores fuera de los rangos esperados).

After identifying the issues, I prepared a concise report highlighting the impact of the data discrepancies on our business decisions. I presented this to my supervisor, using visualizations to clearly illustrate the problem. This proactive communication led to immediate action and earned me recognition from senior management. What strategies do you use to effectively communicate data issues? I've learned that clear, impact-focused communication is crucial for gaining support to address data quality problems.

It is important to report the findings that were discovered to remove any misinformation that may have been generated during the course of the project.

Como pasante, es importante comunicar cualquier problema de calidad de datos que descubras a tu supervisor o al equipo encargado. Asegúrate de detallar los tipos de problemas encontrados, los posibles riesgos que conllevan y cómo podrían afectar los análisis futuros. Documentación clara: Elabora un informe breve o presenta tus hallazgos en reuniones para que todo el equipo esté al tanto. Ejemplos concretos: Muestra ejemplos específicos de los problemas encontrados para ilustrar el impacto.

To address the data quality issues, I researched best practices in data cleansing and validation. I proposed implementing a data quality framework that included regular audits and automated checks. This initiative reduced data errors by 30% within the first month. How do you approach finding solutions to data challenges? I've discovered that combining industry research with creative problem-solving can lead to impactful improvements, even as an intern,

I document the entire process, including the issues identified, the solutions researched, and the steps taken to fix them. This documentation serves as a valuable resource for future reference and helps others understand how to handle similar issues down the line.