Data management tools

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Fortunately, there’s a range of management tools at an organization’s disposal to assist with interpreting raw data. Many of these tools can be used as cloud-based applications and services.

In a ’cloud’, for example, organizations can store information much more readily, files can be transferred quickly, and different datasets can be analyzed and translated across the world effi cell phone number search philippines ciently.

Once you’ve agreed on the data storage requirements and considerations, your organization next needs to consider how to analyze the datasets. Several companies provide data management services and tools for dealing with medium to large data sets.

These include:

Teradata is a company that provides three main services: business analytics, cloud products, and consulting. It handles large and mixed datasets and meshes them together to create meaningful insights.
IBM automates end-to-end data management. Using artificial intelligence (AI) technology enables organizations to spot new patterns and trends to improve operations.
Oracle is a multi-model relational database management system that provides grid computing and data warehousing.
SAP provides multiple data management tools which help to ensure data quality, migration of data, text analysis, and interconnectivity of Big Data acquired from various sources.