To achieve this, they must provide an enabling environment

msthasna315

For this reason, implementing data-centric architecture requires a more complex process to implement. Let's now see what your company should do: Start at the top Technological transformation does not start with software and tools. It must start at the top of the company, that is, at the highest decision-making levels. Managers in business and IT departments should want the organization to be data-centric. To achieve this, they must provide an enabling environment, promote a data-driven culture, and plan steps for implementation. Build an evangelistic IT department The IT department is the protagonist of the company's transformation to data-centricity . For this reason, the team must define and promote policies, procedures, standards, methodologies and objectives to implement data-centric architecture.

These are the definitions that will guide changes in Telegram Number Data the company, the acquisition of tools and the training of employees. Map and organize data The organization must map the data landscape, its sources, formats, volume and subject domains. In this way, it is possible to organize them, define hierarchy levels and plan the infrastructure according to the demands of the organization . In addition, it is also possible to define the transition to the new architectural model according to the order of importance of the data for the company. Control activities The IT department must also accompany all stages of the implementation of the data-centric architecture. It is their role to monitor application development, data unification, team learning and company transformations.




Thus, it is possible to measure if the implementation is on the right track, if the goals defined in the planning are being achieved and if there are opportunities for process optimization. What challenges may arise? Implementing a data-centric architecture is a complex task. It is not only a change in infrastructure, but also a 180° turn in the business mentality. If data becomes the central element of companies' technological infrastructure, teams must also put it at the center of their tasks and decisions. This requires a culture change that often generates resistance . Additionally, if the company is data-centric, everyone should be able to easily access and analyze it, considering appropriate permission levels.