Data management tools can help businesses transform data into actionable information, and analyze it to give them an edge in today’s competitive business world. The ideal tool should be safe enough to protect critical information against external threats and internal users. This means it must include robust security features and techniques that are designed to deter cybercriminals, such as encryption of data.
Additionally, it must have disaster recovery capabilities, as well as regulations and rules that dictate how long the organization should keep its data. Additionally, it should offer flexible pricing models and storage options that permit organizations to scale up and down according to their data processing needs.
When evaluating products for data management and solutions, it’s important to consider the reputation of the vendor, which can impact customer satisfaction as well as support. For instance, some companies might oversell their product or lock customers into an extended contract term that is hard to break. Certain vendors might have a poor history when it comes down to handling security or performance issues.
Furthermore, a well-designed data management system should be able to integrate well with other tools and data sources that help businesses create a single source of truth (SSOT). It should be capable of connecting via APIs to databases, file types, on-premises data warehouses, and cloud data lakes, as well as data lakes. It should also come with an intuitive interface to make it easy for non-technical staff to use the platform’s features. This is important because some legacy systems, such as Informatica which is a good example, have complicated and diverse user interfaces that make it difficult to navigate.
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