| |SEPTEMBER - 202319CIOReviewIn terms of data security, the main challenge is that many do not have a robust data life cycle management, or there is not even one at all properly developed, so the process of creation, storage, usage, sharing, archiving, and destruction of data is not well defined, and therefore impacting to its main goals which are to ensure data integrity, availability, and confidentiality.What cutting-edge strategies or initiatives do you think can help organizations gain valuable insights into future customer behavior, demand patterns, and revenue opportunities?As technology advances, there are more and more opportunities for companies to adopt new strategies, techniques, and tools that support and develop their analytical process. In my opinion, one of the greatest opportunities is to integrate the use of machine learning and artificial intelligence models, which are revolutionizing the way in which they use and analyze data, to find insights that are complicated to get to with the use of traditional analytics techniques, and in a simpler and more agile way, as speed to market has become one of the main competitive advantages in an increasingly complex and competitive world.Before your stint at Royal Holiday, what were some of your previous experiences and specific education that empowered you to gain deep expertise in strategic decision-making and the transformation of revenue management practices to enhance business performance?For more than 20 years, I specialized in the analysis of supply, demand, and development of pricing strategies; where my educational background as an industrial engineer helped me to get the foundations for my analytical career, and later on, a Master of International Management helped me to gain commercial knowledge that helped me to put in better context what data represents and its usage. Besides this, what helped me the most to gain deeper expertise was to be business curious, which allowed me to learn and understand processes and activities in addition to my daily responsibilities, which helped me build an integral business vision that is always aiming to business maximization. On an ending note, what is your advice for other senior leaders and CXOs working in the business intelligence space?At a corporate level, and especially for companies that are still in an early level of the data maturity model, to keep finding ways to support as many decisions as possible on data and promoting this from top to bottom will create the foundation and commitment of the importance and relevance of data at all levels of the company, thus being able to evolve in the model in a faster way and with lesser obstacles.And at a work team level, first, ensure that business intelligence teams have adequate business acumen and allow them to be business-curious, and then keep them up to date on new technologies and methodologies that are evolving business analytics. But above all, keep them informed and involved in the projects and strategic objectives of the company and communicate how their work translates into improvements and opportunities for all, as this is what will create the ownership and alignment that business intelligence teams need to succeed. As technology advances, there are more and more opportunities for companies to adopt new strategies, techniques, and tools that support and develop their analytical process
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