Data Collection Data Quality Metrics Risk Management 
datapine
FEBRUARY 22, 2022
Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Clean data in, clean analytics out.
Sisense
SEPTEMBER 3, 2020
Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Data analysts in one organization might be called data scientists or statisticians in another. Database design is often an important part of the business analyst role.
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Jet Global
MAY 9, 2024
Job schedulers help coordinate the pipeline’s different stages and manage dependencies between tasks. Monitoring can include tracking performance metrics such as execution time and resource usage, and logging errors or failures for troubleshooting and remediation. How is ELT different from ETL?
datapine
AUGUST 29, 2022
Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.
Domino Data Lab
FEBRUARY 4, 2019
Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.
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