A Simple Breakdown Of Data Management

Most large or small scale companies have need of some form or another of data management. Whether you’re running a multimillion dollar company with thousands of employees, or you have a small web store or mom and pop shop around the corner, odds are you have some sort of data that you use to help run and manage your business, and to work to make business decisions off of.

At this point in your business, you may know that you’ve come to a point where you have need of a data management strategy or service. But before you move forward with that strategy, you feel you need to at least start with a basic understanding of what data management is in the first place.

To help you out with this, here is a simple breakdown of data management:

What is Data Management?

So the obvious first question we need to address is, “What is data management?” According to The Data Management Association (or DAMA International), data management is “the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise.”

So basically, data management is the development and carrying out of a plan to help manage the lifecycle of data for a specific company or enterprise. It is to help create that lifecycle, and to help ensure the proper flow of the data through that lifecycle.

What is the Data Lifecycle?

So that brings us to the next natural question: “what is the data lifecycle?” Really, this depends on the specific entity or organization that the lifecycle is set up for. But basically, a data lifecycle is the process that data will need to go through (including things like collection, storage, analyzing, etc) to help a business or organization be able to properly utilize the data that it is collecting.

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The Main Types of Data Management

So data management is the process of helping companies or other entities collect, store, analyze, etc their data in order to properly manage their data and to make any necessary business decisions off of that data. So what does data management entail?

Here are some of the main types of data management services:

Data Storage & Database Management: Data and database storage services, locations, plans, and management.

Data Migration: Migrating and/or converting sets of stored data from one storage medium to another.

Data Restoration: This includes data backup options, as well as data restoration and duplication services.

Data Recovery: Helping to recover data from damaged data sources, including from breakage, water damage, fire damage, mold, corrupt files, etc.

Data Sharing: Services that assist in the ability to share or replicate data.

Data Security Management: Helping to ensure that data is kept secure and confidential.

Data Quality Management: Ensuring that data is being reported correctly; finding and correcting corrupt files; quality assurance.

Data Analysis: Analyzing important data to help convert it into information and knowledge (to help it through the other steps of the data lifecycle).

Data Plan Consulting: Companies or individuals that assist an entity in creating the plans, strategies, and processes for their data management.

Data Disposal: The proper and safe disposal of data when it is no longer needed.

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