Recent advances in new analysis and prediction concepts in informatics, statistics and computational chemistry have drawn attention to mining the enormous flood of information generated from ultra-high-throughput screening (uHTS) and early drug discovery more effectively. This review analyses current infrastructure and process concepts in data analysis, storage and mining, with a particular focus on high-throughput technologies. It also provides examples of how these techniques have been applied successfully together with underlying reasons for these developments.