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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
data catalog; data quality; machine learning; data science

How to pick the best fit data catalog for your data stack?

Dive into data management with our latest whitepaper, which presents an in-depth Gap analysis among YData Fabric, Alation, and Informatica—three solutions in the realm of data catalogs. These platforms are chaging how organizations govern,...

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Test data management; synthetic data; quality assurance; data generation

Traditional vs Modern Test Data Management with Synthetic Data

In the dynamic landscape of software development, the significance of effective Test Data Management (TDM) cannot be overstated. Traditional approaches, such as IBM InfoSphere Optim, have long been the backbone of this crucial process,...

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Databases, Relational database synthesis, synthetic data generation

Replicate your Relational Databases for democratized data access

Business across all sectors, from retail to banking, rely on relational databases to extract competitive insights. However, due to the privacy regulations set in place to protect individuals’ data, the available information is currently...

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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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