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June 11, 2023

Unlocking the Power of a Data Catalog for Your Business

The importance of data quality & profiling for the success of Machine Learning In today's world, businesses around the globe are generating a vast amount of data. To be able to adopt a data-driven initiative, organizations must manage data...

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Unlocking the Power of a Data Catalog for Your Business
Synthetic data quality metrics PDF report

How to evaluate synthetic data quality?

Generating synthetic data lays a crucial role in addressing the problematic aspects of data in Data Science, such as balancing classes, expanding small datasets, and securely sharing sensitive information like bank transactions while...

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Time-series synthetic data generation

The trade-offs of time-series synthetic data generation

Synthetic data is artificially generated data that is not collected from real-world events and does not match any individual's records. It replicates the statistical components of real data without containing any identifiable information,...

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synthetic data generation for transactional datasets in Finance

Democratized access for large transactional datasets

The value of data and the adoption of data-driven strategies have proven valuable for many organizations, particularly the financial services sector, with cases ranging from fraud detection to improved credit scoring. Nevertheless, privacy...

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