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B2B EDI Simplified: The Impact of ETL on Data Quality

Astera

Data quality stands at the very core of effective B2B EDI. According to Dun and Bradstreet’s recent report , 100% of the B2B companies that invested in data quality witnessed significant performance gains, highlighting the importance of accurate and reliable information.

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B2B EDI Simplified: The Impact of ETL on Data Quality

Astera

Data quality stands at the very core of effective B2B EDI. According to Dun and Bradstreet’s recent report , 100% of the B2B companies that invested in data quality witnessed significant performance gains, highlighting the importance of accurate and reliable information.

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The Art and Science of FP&A Storytelling

Timo Elliott

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. I’ve been working with planning and analytics teams for around 30 years, and my job was to talk about the technology aspects of storytelling, including the typical real-world barriers to success.

Planning 348
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Best Azure ETL Tools For 2024

Astera

Scalability: As businesses grow and generate more data, Azure ETL tools can easily handle the increased volume and complexity of data. Data Quality : Azure ETL tools offer built-in data cleansing and validation capabilities, ensuring that the data loaded into Azure Data Warehouse is accurate and reliable.

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The Importance of Data Preparation for Machine Learning

Astera

Data scientists commit nearly 80% of their time to data preparation, but only 3% of company data fulfills basic data quality standards. Data Preparation’s Importance in ML A machine learning model’s performance is directly affected by data quality.

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 Top 5 Data Preparation Tools In 2023

Astera

Easy-to-Use, Code-Free Environment By eliminating the need for writing complex code, data preparation tools reduce the risk of errors. These tools allow users to manipulate and transform data without the potential pitfalls of manual coding. Manual export and import steps in a system can add complexity to your data pipeline.

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Types of Data Pipelines: Maximizing Efficiency

Astera

This is where the concept of a data pipeline comes into play. Data pipelines serve as the backbone of data integration and processing, enabling seamless and automated movement of data from various sources to its destination. These pipelines undergo three primary stages: extraction, transformation, and loading.