Data discovery is an aspect of data management. It involves collecting and evaluating data from different sources. This activity can be best performed with right data discovery tools.
Most of the organizations hold a large amount of data and datasets that need to be organized and kept safe. In order to arrange the complexity of data, data discovery tools are mostly used. Here are the top three factors to consider while choosing data discovery tools.
A good tool for data discovery can only be determined through its general data discovery features. Here are a few things that you must check if the tool provides.
- Analysis and visualizations of data through charts, tables, maps and other representations.
- The capability of machine learning as well as predictive analytics.
- The tool must be able to evaluate the quality of the data as well as its properties on grades like application, team and user level.
- The tool must allow faster query response times in memory analytics.
- Features like data identification, monitoring, tracking and classification are must have.
- The tool should be able to offer full text and metadata search options.
- The improvement of quality of data as well as data preparation must be offered.
- In order to meet the compliance requirements, data discovery tools should also allow metadata management.
Only if you see possibility for all the above things in your chosen tool, you must go ahead with it.
Apart from the basic features, the sensitive data discovery tools should also offer data governance. The platform must be capable of monitoring and managing all the data created by its different users, including task and risk management. Data security and privacy are the key factors of governance. Therefore pay attention to the kind of user authentication that the platform provides along with access controls. Data tools are known to retrieve and store strategic business data. Apart from this they must also offer enforcement of data protection policies for the existing data sources.
Not to forget, vision control is also a major requirement that you must expect from data discovery tools. Check if the platform is capable of managing different versions of documents to contribute to data integrity and safety during accidental data loss.
Lastly, the chosen AI data discovery tool must have the features for regulatory compliance. The major role of data discovery tools is to help companies with government and industry regulations. The discovery tools must be made in accordance with GDPR, HIPAA and CCPA. Many companies also use data discovery tools for finding sensitive business data, personally identifiable information and protected health information. This information, if hidden in mails, documents etc, should be easily distinguished by the discovery tool.
The discovery, mapping and identification of personal data as well as sensitive information through data discovery tools is challenging. But there are firms like Secuvy that offer all of it through their tools. To get started with such tools, visit www.secuvy.com today.
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