In today’s fast-paced business environment, C-level executives, COOs, and business managers in general are increasingly faced with the challenge of increasing processes agility while becoming more data-driven. Reducing the time and effort required to move from a Data insight to a Business action is therefore a key objective.
This requirement often translates to bridging the gap between analytical and transactional systems. This challenge is particularly evident in supply chain and finance planning processes, where the need for efficient data entry, calculations, scenario simulations / what-if analysis and final decision-making is paramount.
Continuing the example of Supply Chain Planning use-cases: traditionally, foundational transactional systems such as ERPs and APS (Advanced Planning Systems) have been the backbone of supply chain processes. These systems enable robust data entry, automated calculations, and decision-saving functionalities. However, as businesses evolve, the limitations of these systems in addressing all business needs become evident.
To address these limitations, companies have turned to Business Intelligence layers and Data Platforms. These solutions aim to centralize data from various sources, including transactional systems, thereby offering a more comprehensive view of business operations. While these platforms have greatly enhanced data analytics capabilities, they often fall short in providing interactive functionalities like data entry and scenario simulation, which are crucial for planning use-cases.