Data in and of itself can be interesting, but the true value of data lies in how you use it and the insights that come from ...

Organizations generate and process vast amounts of information across multiple systems. However, without a structured ...

In today’s digital transformation era, organizations increasingly use advanced enterprise resource planning systems to manage ...

Using data observability for better analytics and AIData quality alone is no longer sufficient. Enter data observability, which is particularly suited to the shift to more decentralised data ...

To manage data quality effectively, transparency is crucial. It is essential to be aware of issues and run scans to identify similar records using a modern MDM system. Implementing safeguards to ...

Modern data platforms offer the integration and centralization of data management that allow healthcare organizations to ...

This report discusses the findings and recommendations of the 2024 assessment of the data quality of the public sector debt statistics (PSDS) of the United Republic of Tanzania against the IMF’s Data ...