Data management: In-depth guide [2018 update]

Leading tech companies such as EMC predict exponential data growth with available data doubling every 2 years.

With this increase in volume comes an increase in need to determine a way to manage it. Subsequently a wealth of data management techniques, tools, vendors, careers, have emerged to support this need.

To better help your business achieve effective data management, it is necessary to first understand what exactly is data management and how it can become beneficial for your organization.

What is Data Management?

Data has a lifecycle that requires careful management from the day it is created until the day it is no longer in use. By managing this data properly, the risks are greatly decreased and the usability and quality of the data is greatly increased. Ultimately these two things together lead to a better and more profitable business no matter the industry or topic.

Some of the biggest focus points in data management include:

Data quality: Share

Understanding ETL Tools

ETL, or Extract, Transform, Load is the process of integrating data from multiple applications (systems), converting them to a single format or structure and then loading the data into the target, often a data warehouse. This process is essential for data analysis, business intelligence, and other related tasks – particularly in businesses with a wide range of data sources and formats to consider.

Selecting the right tool to do so is integral to ensuring the success of not only the specific action, but also for the overall goals and efforts of the business. To learn more about ETL and get a better understanding of how businesses use it, visit our ETL blog post.

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