Data management tools can help businesses transform data into actionable information, and analyze it for an advantage in today’s highly competitive business environment. But the ideal tool needs to be secure enough to safeguard crucial data from threats from outside and internal users. This means it must include robust security features and techniques that are designed to deter cybercriminals, like encryption of data.
It should also be able to recover from disasters. It should have rules and regulations that define the length of time an organization must keep its data. It should also provide flexible pricing and storage options, allowing organizations to scale up and down according to their data processing needs.
When evaluating data-management products and solutions, you need to also consider the reputation of the company, because this could affect customer satisfaction as well as support. Certain vendors might oversell a solution or bind their customers into an agreement that is difficult to end. Some vendors may have a bad performance when it comes to handling performance or security issues.
A robust data management solution should integrate well with other tools and data sources that help businesses create an all-in-one source of truth (SSOT). For instance, it should have the ability to connect to databases such as file formats, on premises and cloud data warehouses, and data lakes through APIs. It should also come with an intuitive interface to make it easier for non-technical users to use the platform’s tools. This is crucial since some older systems, like Informatica have a complicated and varied user interface that make it difficult to navigate.