ROUND ROCK, Texas, May 12, 2025 /CNW/ -- Actian, the data division of HCLSoftware, today launches Actian Data Observability, which leverages AI and machine learning for comprehensive data quality ...

Organizations must improve data quality if they want to make effective data-driven decisions. But as data teams collect more data than ever before, manual interventions alone aren’t enough. They also ...

Observability by definition is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. In other words, a system's behavior is determined from its ...

It’s essential to recognize that constructing a data observability system, much like any operational software, requires engineering (in this case, data engineering) resources, data science expertise ...

Data quality techniques are by now well-known and relatively easy to apply, while data observability can be more complex to implement, but in the end, both are needed to holistically contribute to ...

While the company was already a leader in observability for infrastructure, applications, and logs, it lacked full-stack visibility into the quality and flow of business data itself.

The use of data lakes is growing in the federal market, and they have great potential for better analysis and data-driven decision-making -- as long as they are kept clean and pollution-free.

With the evident need for solutions to ensure high data quality in the Big Data era, the space has received a lot of attention — especially during the past year.

Provides complete visibility across complex, modern data stacks to build reliable, AI-ready data ROUND ROCK, Texas, May 12, 2025 /PRNewswire/ -- Actian, the data division of HCLSoftware ...