A possible evolution from the decision support system to the solution system for business usage

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For years, the field of business intelligence has lacked truly innovative ideas. This study poses a critical question: "If computers can provide the necessary information for human decision-making, why can't they make decisions independently?" Through clear examples, the author illustrates how to advance beyond traditional data warehouse and mining systems. Practical insights demonstrate how to transform data, information, mathematical results, and human intent into executable solutions. Covering a wide range of topics from technical fundamentals and algorithms to philosophical inquiries about responsibility and ethics, this work serves as essential reading for scientists, students, and developers interested in optimized decision-making and solution systems. Thomas H. Lenhard, born in 1967 in Germany, has a diverse background in economics, computer science, logistics, and management, having studied in Ludwigshafen/Rhine, Saarbruecken, and Bratislava. He has held significant roles, including chief developer of a multinational company's data warehouse system and CIO of a healthcare firm. Alongside his professional career, he taught computer science at the University of Applied Sciences in Ludwigshafen/Rhine and Saarbruecken from 1996 to 2007. Currently, he continues to work as a consultant in computer technology and teaches at the University of Applied Sciences Kaiserslautern, as well as guest lecturing at Comenius University