6 benefits of modernizing your data management in the cloud

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Learn the risks of not changing as well as the benefits of modernizing your data management in the cloud
Nowadays, companies generate large amounts of data from users, consumers and the activities they carry out on a daily basis. The advantages of having detailed and reliable information on the multiple transactions and operations carried out are many, but they can be useless if there are no solutions for efficient and secure data management .

In this sense, data modernization consists of a virtuous transformation of archaic databases into modern and systematized ones, a point that is critical for all organizations. What role does the cloud play in this regard? What are the advantages of implementing cloud computing and data automation ?


Why modernize data management?
Modernizing data management is an effective solution to address the most common failures that create obstacles to virtuous business performance, such as:

Use of multiple point products to join solutions leads to twitter database cost and complexity.

Manual practices that often involve high costs, difficulty in implementation and maintenance, and the requirement for expert developers.

Using APIs to connect applications is not scalable and is not a long-term solution.

PaaS or IaaS tools lack comprehensive capabilities for delivering trusted data.



84 % of companies surveyed by Deloitte have already begun their journey toward data modernization: 34% say they have such initiatives fully implemented and half have initiatives underway.

Source: Deloitte



What are its benefits?
Cloud data management is the practice of storing information in an off-premises data center, typically owned by a provider specializing in public cloud infrastructure.

The advantages of implementing Data Management in the cloud are extensive:

Security and data protection: Cloud storage reduces the risk of losing information due to damage or hardware failure and data hijacking thanks to the possibility of making backup copies. In addition, advanced protocols are used to protect the confidentiality of the information that companies host on servers.

Scalability and cost savings: Users have different options to scale up or down services based on their needs and changes in workload. More storage can be added when running a large project and scaled down once it is complete to reduce costs.

Governed Access : Authorized users on the team can access the data they need anytime, anywhere, fostering a culture of collaborative work and information sharing among employees.

4. Information integration and consistency: having a solution like the cloud eliminates data silos and friction by creating a single source of updated, consistent and accessible information for each use, from real-time analysis to processing that requires greater complexity.

5. Automated Updates: Employees no longer need to take breaks from work to allow IT technicians to update systems, as cloud data management providers perform these operations automatically.

6. Increased analytical capabilities: Cloud providers bring analytics capabilities such as high-quality algorithms, artificial intelligence and machine learning along with a wide range of external data sources.