Before the data strategy: the assessment and study of needs
For companies, awareness of the importance of valorizing their data is the fundamental premise for implementing an effective data strategy. But considering business priorities is not enough; it is also necessary to evaluate the maturity of the company ecosystem.

Before implementing a data strategy

The first consists of a technological-architectural assessment , aimed at identifying and evaluating the current state of data and analytics within the company . of the communication channels, transformation processes and technologies used, with the aim of generating a clear overview of the starting situation.

The second step focuses on the

Company’s evolutionary fixing broken link needs, in relation to strategic business objectives . In this phase, the desired use cases and any inefficiencies or critical points in current processes are identified and each case is evaluated in terms of implementation complexity and expected benefit. This allows for prioritizing interventions and defining a clear path for the evolution of data management, aligned with business priorities.

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The third and final step concerns the definition of a Identify mobile number solid and modern technological architecture . It is about developing an infrastructure capable of enabling the new necessary functionalities, responding to needs asia email list and, at the same time, preserving the value of investments already made. This architecture must be scalable, flexible and able to support the company in the long term , allowing efficient and secure data management.

data driven strategy: how to develop it

The process of creating a company data strategy requires paying attention to various aspects. Getting down to practical details, we can say that to develop an effective data strategy it is necessary to:

Define business objectives : to be effective, the data strategy must be aligned with business objectives. What results do you want to achieve with your e-commerce, website, personal branding , paid advertising or, in general, with your digital strategy ?
Identify relevant data : As we have seen, companies today produce an impressive amount of data. Once the business objectives have been established, it will be easier to understand which data is actually significant and relevant .

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