Lights On Data Show
Tools Needed By A Data Analyst
Jan 19, 2024
José Luis Pérez, CEO of Trackinplan, a serial entrepreneur with a passion for data, shares insights on essential tools for data analysts. Topics include challenges in data collection and integration, importance of data quality, role of AI in analytics, and optimistic future of the industry. Recommended tools include SQL, Jupyter Notebooks, DBT, and the tracking plan.
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Quick takeaways
- Data analysts need tools for effective data collection and monitoring to ensure data quality throughout the analytics process.
- Establishing a common platform for communication and collaboration between teams can enhance data analytics capabilities.
Deep dives
The Importance of Data Collection in Data Analytics
Data analysts often face challenges when it comes to having the right tools for the job. While many tools focus on the data pipeline and transformations, the data collection phase is often neglected. This leads to issues with data quality, as data comes from various sources and goes through different platforms that analysts don't have full control over. This lack of tools for effective data collection and monitoring creates a gap in the data analytics process and hinders data quality.
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