Data-driven culture: leveraging products with data analysis

[soniya55531]

In the digital market, it is necessary to overcome constant challenges to stay ahead of the competition and exceed users' needs and expectations. In this scenario where the volume of data is considerable, the ability to extract strategic insights from these sources has become an important competitive advantage.

Consequently, data-driven culture has come to be seen as an effective response for companies seeking viability and excellence, especially in the development and improvement of applications, platforms and systems.

In this article, we explore how adopting this approach revolutionizes decision-making related to digital products. From collecting and analyzing data to defining metrics and KPIs, we share how this mindset helps streamline processes, drive innovation, and drive business growth.

Beyond the numbers: exploring the potential of data
Organizations need to develop the ability to deeply understand facebook data their users’ behavior in order to anticipate trends and continually optimize their solutions. In this sense, in the routine of a product team, there are different types of qualified information that can be considered in the development and improvement of software:

Usage tracking data: refers to different metrics that track user behavior, such as frequency of access, time spent on a specific function or section, among others. This data is essential for guiding investments and determining which features should be prioritized.
Market data: information on consumer trends, user behavior, competition, prices, supply and demand for products and services. To understand and use this data effectively, it is advisable to rely on the expertise of Product Marketing Managers, who have the ability to interpret market expectations regarding a specific product.
Delivery data: consists of information related to the functioning of the software in use, including the time required for response, the use of system resources, incidents reported by users and other metrics that help to evaluate the quality of the solution in operation.
According to Bruna Ricardo, Product Manager at SoftDesign, the analysis of this data reveals features with many incidents and points where users encounter more difficulties, helping to prioritize improvements.

It is important to highlight that products generate a significant amount of data. Given this, it is common to ask: what data should we analyze and prioritize? To answer this question, it is necessary to revisit the business objectives and define the key metrics to be monitored, he advises.
Wagner Machado, Technology Director at Green Card, recognizes that implementing a data-driven culture is still a mission full of challenges, as it involves multiple stakeholders and causes a significant evolution in the way of thinking and working.

Driving improvements to our app based on user feedback is the best example of Data-Driven Development. By monitoring our performance, we have the opportunity to turn negative reviews into improvements that directly impact our customers. This is what most attracts our attention in terms of good results.

[yadaysrdone]

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