How to successfully implement a data management system

A widely recognized collection for machine learning tasks.
Post Reply
shukla7789
Posts: 1196
Joined: Tue Dec 24, 2024 4:28 am

How to successfully implement a data management system

Post by shukla7789 »

Find out why it can be beneficial to have help implementing a data management system, especially in the current context.
Although many companies choose to implement their own data management system , leading the process from their own IT teams, in practice the role of an external specialist can make a difference in terms of time, costs and efficiency. Let's see why.


The data management model of each business, its master data, cleaning and maintenance actions, aspects related to security and access are some of the work points that arise when we begin a transition zalo database towards working with data. And all these aspects are so relevant that good prior preparation is essential, focused on the organization's objectives and strategies, as well as subsequent follow-up work to confirm that all the elements are aligned.



What support is needed to implement a data management system?
Organizations need consultants. It is very common that, once embarked on the process of migration to Big Data or to a business model based on intelligent data, the company detects that it lacks the experience, time, expertise or objectivity necessary to carry out the complete project of implementing a data management system. And once the process has begun, bringing in an external assistant can be costly in terms of time, money and handling team frustrations.

Furthermore, in the case of IT teams, a recent article in Myt Magazine highlights that “Recruiting talents with the right skills and experience can not only be challenging and expensive, but in the medium and long term, it is also difficult to retain them, which can become a common obstacle for IT leaders in these companies. Forecasts point towards IT operating models in which more specialized expertise is outsourced.”

All of the knowledge must be combined to ensure that the data management system is accessible, secure, operates with sufficient quality and speed, does not present integration problems with existing applications or other systems, and is adapted to future business needs.

To visualize this complex network of issues and the awareness that companies are gradually taking, it is worth observing a recent survey that indicates the following:

Corporate awareness is increasing and specialists are adapting to a context that increasingly requires coordinated teamwork.





65% of small businesses agree they are investing in hardware, software and services, and 16% are optimistic about IT budget growth.

Source: IDC



Aspects to consider in an implementation
As in any other change implementation process, it is necessary to consider these aspects:

Specialty: One of the most common reasons for hiring a consultant is expertise that is not available within the organization itself . Even though the IT team may have been trained in the requirements of the data management system, they may not have the in-depth knowledge needed to handle the implementation.
Post Reply