Problem Definition: A Shared Responsibility in Data Management

In a data science strategy, the precise definition of the problem is crucial. Asking the right questions enables us to obtain insights, predictions, and useful knowledge for businesses in a big data environment. It is important to involve all stakeholders within the organization and use direct methods to frame the problem, integrating perspectives from different areas. Collaboration between data scientists and business users is fundamental to the success of the project.

Data Policy: Owning Your Information as a Key to the Process

Data science strategies are increasingly used by Spanish companies, positively impacting organizational performance and higher levels of resilience. It is crucial for companies to own their data and ensure its quality, and to adopt a data-driven approach for making strategic decisions based on data analysis and interpretation. Managing one’s own data provides flexibility and capacity to address current and future business needs, but requires a data governance policy and appropriate attention to data integration, quality, and management.

Loyalty Programs: Why Are They Important?

Business hands joined together teamwork

Loyalty programs are strategies used by companies to maintain and increase their customer base by offering promotions and rewards. Personalizing these programs is key to enhancing customer engagement and generating higher revenue. Loyalty programs aim to retain customers, better understand them, and gain greater benefits by offering competitive advantages, reducing loyalty costs, generating referrals, and enabling more effective campaigns. There are different types of loyalty programs, such as point-based, multi-brand, and tiered reward programs.

Perfumerías Rouge

Zentricx decided to implement a solution involving an augmented reality application
called “Magic Mirror,” installed in mirrors and tablets. In this application, customers
can try on and purchase selected makeup products.