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Data Management: Getting a Grip on Enterprise Data
Data is important for the organization and it is important to develop methodologies to use data efficiently and cost effectively. 451 Research analyst Henry Baltazar proposed four different approaches for getting better control on data managed by the organization:
- Audit. Know what you have. Audit the current usage of data to understand the frequency and urgency that different data is being used within the organization.
Metadata and usage reports can be reviewed to see the frequency of access of data and which groups are using which data.
It’s important that the right data is being stored on the right resource. - Centralization. While there are exceptions, a rule of thumb is to simplify data management by consolidating data into fewer systems.
It is too easy for data to become sprawled across many different storage systems. - Efficient Cloud Storage. Moving data to the cloud can often save money and simplify storage management.
But cloud data is best used when it can be granularly accessed. Without that, it may be necessary to recover a large block of data from the cloud to retrieve some piece of data. Retrieving large blocks of data can incur data transfer costs that are expensive and require a large amount of time to make the transfer. - Automated Data Management. Metadata and data usage patterns derived from machine learning can help automate the use of data.
Automation and process management tools can help data be used more efficiently and intelligently.
