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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Implement Predictive Maintenance in 90 days: Mario Montag explains Predikto’s fast, automated approach

We had a candid session with Mario Montag, CEO and Co-Founder at Predikto, discussing their primary areas of focus, how they can offer superior results compared to custom solutions, challenges of data integration, why predictive maintenance is crucial for big industrials, transportation and logistics companies. Below you can find our podcast edited for clarity and brevity. To have a background on predictive maintenance before diving into details, you can read our article on predictive maintenance. Read more

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