classify data

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By: IBM     Published Date: Sep 22, 2011
Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
Tags : 
ibm, application data, technology, enterprise, database archive
    
IBM
By: CA Technologies EMEA     Published Date: Aug 07, 2017
A big part of GDPR compliance will focus on how data is collected going forward. But a substantial emphasis will fall on the data businesses already hold. With many mainframes containing generations-old data, a manual data audit is completely unrealistic. That’s where CA comes in. CA Data Content Discovery enables organizations to find, classify and protect mission essential mainframe data—three valuable steps toward achieving GDPR compliance.
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gdpr, personal data, social information, ip addresses, ca technologies, mainframe security, anonymize data, privacy projects
    
CA Technologies EMEA
By: CA Technologies EMEA     Published Date: Aug 03, 2017
The key tenets of protecting data privacy are: knowing where your data resides, understanding who has access to the data and what are they doing with it, and knowing how the data is being used internally that may result in non-compliance. Additionally, most compliance projects are major, company-wide initiatives and must be managed properly to meet deadlines and keep costs in check.
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classify data, gdpr, risk reduction, breach protection, anonymize data, privacy projects, data management
    
CA Technologies EMEA
By: IBM     Published Date: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
Tags : 
ibm, data retention, information governance, archiving, historical data, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence
    
IBM
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