To a greater or lesser extent, all industries are engaged in transformation leveraged by technology. Business processes are changing, consumption patterns are also shifting, and ever more discerning consumer requirements are feeding back into the loop. The race for competitiveness is fierce, and agile, data-driven decision-making is a key factor for success. However, data and analytics departments relying on traditional tools and practices are often unable to meet business needs in terms of time-to-delivery of analytics products, quality assurance and governance parameters.
Against this backdrop, DataOps using concepts such as automation and observability is the only way for data management practices to meet today’s challenges which will undoubtedly get even tougher in the near future.
Addressed to:
Area managers, architects and other Data & Analytics professionals: Data Management, Data Architecture, Data Platforms, Data Governance
