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Dashboards, such as those built using Tableau or PowerBI , provide real-time visualizations that help track key performance indicators (KPIs). Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Data Scientists require a robust technical foundation.
However, there are also challenges that businesses must address to maximise the various benefits of data-driven and AI-driven approaches. Dataquality : Both approaches’ success depends on the data’s accuracy and completeness. Unify Data Sources Collect data from multiple systems into one cohesive dataset.
Understanding these enhances insights into data management challenges and opportunities, enabling organisations to maximise the benefits derived from their data assets. Veracity Veracity refers to the trustworthiness and accuracy of the data. Value Value emphasises the importance of extracting meaningful insights from data.
Understanding these enhances insights into data management challenges and opportunities, enabling organisations to maximise the benefits derived from their data assets. Veracity Veracity refers to the trustworthiness and accuracy of the data. Value Value emphasises the importance of extracting meaningful insights from data.
Data Integration and ETL (Extract, Transform, Load) Data Engineers develop and manage data pipelines that extract data from various sources, transform it into a suitable format, and load it into the destination systems. DataQuality and Governance Ensuring dataquality is a critical aspect of a Data Engineer’s role.
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