Which factors influence the decision to use HANA's real-time analytics?

The decision to use HANA's real-time analytics is heavily influenced by data modeling flexibility. HANA is designed to handle complex data models and high volumes of data with ease, enabling organizations to craft models that serve their specific analytical needs. This flexibility allows for dynamic data perspectives and real-time insights, which are essential for agile decision-making in today's fast-paced business environment.

Data modeling in HANA is not just about structuring the data; it also allows for advanced analytical capabilities, including predictive analysis and machine learning. These features leverage real-time data processing, helping organizations to adapt their strategies quickly based on the insights gathered.

While hardware configuration, batch processing time, and sales performance are important considerations within overall analytics strategies, they do not directly influence the choice to implement HANA's specific strengths in real-time analytics as significantly as the flexibility afforded by HANA's data modeling capabilities.