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Astera’s unifying data management software simplifies the various stages of the data pipeline from extracting and integrating to improving its quality and making it analyze-ready for business decision-making. The AI-powered features aid companies in ensuring they are compliant with regulations and reduce risk.
To effectively manage the vast amounts data generated by modern businesses and organizations, a comprehensive strategy of data management is essential. This includes analytics and data infrastructure as well as reporting and governance. Its implementation can help companies maintain a sustainable competitive advantage as well as increase efficiency in operations and gain valuable insight into the habits of customers to improve business strategies and processes.
As data continues to stream in from a variety sources and formats, companies are discovering that it’s difficult to make a decision based on outdated, inaccurate, or incomplete data. Many companies rely on data management tools for governance and data quality, which is part of the larger category of software for managing data. These tools ensure that users have access to the most accurate, reliable and up-to date data.
Data environments are always changing and data management tools must be able adapt to these changes. This is why it’s vital to assess the extent to which scalable and performance-driven each tool you choose is. This will allow data teams to expand or down their database environment -including adding or dropping indexes and changing query parameters — without affecting data processing speed. It will also ensure that all applications driven by data run smoothly.