Introduction to IBM Spectrum Discover

Companies need the ability to use unstructured data to meet their business priorities.

Start of
change IBM Spectrum® Discover is a modern metadata management software that provides data insight for exabyte-scale heterogeneous file, object, backup, and archive storage on premises and in the cloud. The software easily connects to these data sources to rapidly ingest, consolidate, and index metadata for billions of files and objects. End of
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IBM Spectrum Discover provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of data. It improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.

Many companies face significant challenges to manage Start of
change their End of
change data. Some difficult challenges that companies face include:

Pinpointing and activating relevant data for large-scale analytics
Lacking the fine-grained visibility needed to map data to business priorities
Removing redundant, trivial, and obsolete data
Identifying and classifying sensitive data

Benefits of IBM Spectrum Discover

IBM Spectrum Discover can help you manage your unstructured data by reducing the data storage costs, uncovering hidden data value, and reducing the risk of massive data stores. See Table 1.

Table 1. Benefits of IBM Spectrum Discover
Optimize - Improve storage usage	Analyze - Uncover hidden data value	Govern - Mitigate risk and improve data quality	Data Management
Decreases storage capital expenditure (CaPex) by facilitating data movement to colder, cheaper storage.	Accelerates data identification for large-scale analytics.	Perform data inspection and classification.	Automate tags for custom insight.
Increases storage efficiency by eliminating trivial or redundant data.	Operationalize tasks to reduce the burden of data preparation.	Helps ensure that data is compliant with governance policies by labeling sensitive data.	Create reports for analysis.
Reduces storage operating expenditure (OpEx) by improving storage administrator productivity.	Orchestrates the ML/DL and Platform Symphony® MapReduce process.	.Helps reduce risk that is hidden in heterogeneous data sources.	GUI search for real-time results Search content for fast discovery.