Astera’s unified software for managing data streamlines the entire data-pipeline, from extraction and integration to increasing data quality and making data suitable for analysis and business decision-making. Its AI-powered capabilities can also help businesses to better meet regulatory requirements and minimize risk.
To effectively manage the huge amount of data generated by modern companies requires a comprehensive data management strategy that includes data infrastructure, data analytics and governance and reporting. Implementing this strategy will help companies maintain a sustainable competitive advantage improve operational efficiency and gain valuable insight into the habits of customers to improve business strategies and processes.
Businesses are finding it increasingly difficult to make decisions using outdated incomplete, inaccurate, or incorrect data, as it continues to arrive from various sources and formats. This is why a lot of organizations depend on data quality and governance tools which form part of the wider category of software designed for data management. By allowing users access to only the most trustworthy up-to-date, accurate and current information, these tools make sure that decision-making is based on accurate information.
Data environments are constantly changing, so tools for managing data should be able to change to meet evolving needs. This is why it’s important to examine the extent to which scalable and performance-driven each shortlisted tool is. This will allow teams in the data industry to scale up or down their database environment — including adding and dropping indexes and altering parameters for queries — without affecting the speed of data processing. It will also ensure that all applications based on data can be run efficiently.