Lojas Torra

Andre Luiz Soares is an accomplished IT professional with over 17 years of experience, specializing in Business Intelligence (BI) for the past 13 years. His expertise spans data warehousing, data modeling, ETL/ELT processes, and data governance, with a proven track record in leadership roles across the banking, logistics, and pharmaceutical industries, as well as in consulting projects. Currently, he leads the Data and BI department at Lojas Torra, where he drives the implementation of data strategies that align with and enhance business objectives.

Through this article, Soares highlights the importance of data governance, cost control, and a strategic approach to digital transformation in data for the fashion retail sector.

Digital transformation has been impacting every market sector, and fashion retail is no exception. Specifically in data, this process is crucial for building a solid foundation that enables strategic decision-making. However, this transformation goes beyond simply adopting modern technologies. It demands data governance, cost control, and, most importantly, a mindset focused on generating business value.

Delving into the data realm, data governance is the cornerstone of any successful digital transformation. It ensures the quality, security, and availability of information, which is essential for accurate insights. In parallel, cost control is vital, especially in the context of cloud solutions, where unmanaged usage can lead to unexpected expenses. Establishing clear processes and automations to monitor these costs is essential to optimize investments and ensure sustainability.

In our company, instead of simply choosing the most emerging technology or the one I favor as a data manager, I opted for a more strategic path: we conducted an assessment. After thoroughly mapping our data, needs, and current scenario, we outlined various implementation options for our entire data ecosystem, each with its pros and cons.

  ​Success lies not in riding the wave of the latest technologies, but in choosing those that align best with the company’s strategy  

Now, we are in the phase of selecting the scenario that best aligns with the company’s strategy and will bring the most value to the business. This process allows us to make more informed decisions and avoid common pitfalls, such as implementing technology merely because it is trendy, without assessing its real impact on the business.

In today's landscape, it's common for data managers to be fascinated by new technologies, methodologies, and trends. However, those who simply ride the “wave” without focusing on the specific business problems fall into a trap. Investing in technologies that do not address the company’s real challenges can result in unnecessary expenses and, even worse, a lack of strategic alignment.

For an effective digital transformation in data, it is crucial to focus on generating business value. Data governance, cost control, and a careful analysis of the company's needs and challenges are essential pillars for this change. Success lies not in riding the wave of the latest technologies but in choosing those that align best with the company’s strategy. With solid planning, informed decisions, and a focus on what truly matters, it is possible to build a data ecosystem that drives results and creates lasting value.