Astera’s unified data management software streamlines multiple stages of the data pipeline from integrating and extracting data to improving the quality of the data and making it analysis-ready for business decision-making. AI-powered capabilities enable companies to better comply with regulatory requirements and minimize risk.

In order to effectively manage the enormous amount of data generated by modern companies requires a robust data management plan that incorporates data infrastructure, data analytics, reporting and governance. Its implementation can assist businesses to maintain an edge in the market in terms of operational efficiency, and gaining valuable insights into the behavior of customers to improve business processes and strategies.

Companies are finding it increasingly difficult to make the right decisions with outdated, inaccurate, or incomplete data as data continues to come in from a variety of sources and formats. Many organizations rely on tools for data governance and data quality, which are part of an overall category of data management software. These tools make sure that users have access to the most accurate, reliable and up-to date data.

Data environments are constantly changing, which means the tools to manage data should be able to adapt to meet the needs of changing times. This is why it’s important to determine how scalable and performance-driven each of the tools you’ve selected is. This will allow data teams to expand or decrease their database infrastructure, for example, dropping and adding queries and indexes. Furthermore it will ensure that each data-driven software application runs smoothly.