Data Lifecycle Management

From the moment that data is created until the moment that it is permanently removed from existence, the way that we use the data and its value to the work we need to do will change. This process is described as a data lifecycle and implementing a set of rules and techniques to control the way we access, modify and store data is known as data lifecycle management.

Data lifecycle management need not be complicated and there are many benefits of effective data lifecycle management. Managing the size and growth of databases is an obvious benefit, but most companies are reluctant to retire data because they don't know whether it has operational significance or value.

The following are the key technology areas where we can help:

  • Data purging
  • Archiving
  • Offline data storage
  • Near-line data storage
  • Data compression
  • Data integrity
  • Data quality management