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: 

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Predictive Maintenance In-depth Guide: Industry Usecases, Benefits

Are you working for an industrial company that is discarding most of its data? Are you wondering whether that data is valuable? We can help you decide.

Advanced equipment such as Internet of things (IOT) and Industrial Internet of things (IIOT) and robots are generating more data than ever before. However factories’ analytics capabilities have not caught up to this.¬†According to Fero Labs ¬†manufacturing companies discard 98% of all the data they can collect because they do not have the operational analytics capabilities to integrate that data in their operations. Read more

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