Astera’s unified data management software simplifies various steps of the data pipeline from extracting and integrating data to improving the quality of data and making it analysis-ready for business decision-making. Its AI-powered features can help businesses better comply with regulations and decrease risk.

To effectively manage the enormous amounts data generated by modern companies and organizations, a comprehensive strategy of data management is needed. This includes data infrastructure and analytics management, reporting and governance. Implementing it can help companies maintain a competitive advantage to improve efficiency of operations and gain valuable insights into customer behavior, allowing them to improve business strategies and processes.

Companies are finding it increasingly difficult to make informed decisions based on outdated incomplete, inaccurate, or insufficient information as data continues to arrive from various sources and formats. Many organizations rely on tools for data governance and data quality, which are part of the larger category of software for managing data. By allowing users access to only the most trustworthy, accurate and up-to-date data, these tools assure that decision-making is founded on accurate data.

Data environments are constantly changing and data management tools have to be able to adjust to these changes. It’s important to know the extent to which they are scalable and performance-oriented each tool is. This will allow data teams to scale up or down their database environments -for example, adding and dropping indexes, and changing query parameters — without affecting the speed of data processing. Moreover, it will ensure that each data-driven software application runs smoothly.

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