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How to Leverage ChatGPT as a Business Analyst in the Data Analytics Domain

Business Analysis Knowledge Share

ChatGPT can help clean and transform the data by automatically filling in missing values, standardizing formats, and ensuring data quality. Exploratory data analysis (EDA) For a financial institution, you have been tasked with exploring customer transaction data. ChatGPT can help in creating compelling visuals.

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Sweeping Away Data Dust: The Importance of Data Cleansing

Astera

The more data we generate, the more cleaning we must do. But what makes cleaning data so essential? Gartner reveals that poor data quality costs businesses $12.9 Data cleansing is critical for any organization that relies on accurate data. Data preparation tools can help in pattern matching and corrections.

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All You Need to Know About Data Aggregation

Astera

Besides being relevant, your data must be complete, up-to-date, and accurate. Automated tools can help you streamline data collection and eliminate the errors associated with manual processes. Enhance Data Quality Next, enhance your data’s quality to improve its reliability.

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A Complete Guide to Data Analytics

Astera

Statistical Analysis : Using statistics to interpret data and identify trends. Predictive Analytics : Employing models to forecast future trends based on historical data. Data Visualization : Presenting data visually to make the analysis understandable to stakeholders.

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Data Profiling: Types, Techniques and Best Practices

Astera

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

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Use Case Analysis for Business Intelligence Projects

Business Analysis Knowledge Share

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. The data collected should be integrated into a centralized repository, often referred to as a data warehouse or data lake.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Analytics teams can also visualize these insights by leveraging reporting and visualization tools, such as dashboards, charts, or graphs. Why are Data Vaults and Information Marts Crucial in the BI Ecosystem? Data vault uses a hub and spoke architecture to simplify the intricacies of data integration and storage.

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