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Leanalytics is the application of Lean Principles (Toyota Production System (TPS) Italic text/) computer technology, operational research, and statistics to solve problems in business and industry. Leanalytics is carried out by combining and defining the Operations system and information system: while, in the past, statistics and mathematics could be studied without computers and software, Leanalytics has evolved from the application large data sets combined with the wide spread application of TPS thoughout today's business systems. Elimination of Waste and trend analysis underpins the algorithms used in Leanalytics - the “science” of Leanalytics is concerned with extracting useful properties of data using computable functions along with detailed process mapping, and typically will involve extracting properties from large data sets. Leanalytics therefore bridges the disciplines of the Lean manufacturing, statistics, and mathematical modeling. A simple definition of Leanalytics is "the applied science of Lean principles based upon data analysis". A practical definition, however, would be that Leanalytics is the process of obtaining an optimal process or realistic decision based on existing data and flow of information or material. Business managers may choose to make decisions based on past experiences, standard operational procedures or rules of thumb, or there might be other qualitative aspects to decision making; but unless there are data involved in the process, combined with the attempt to drive waste out of the system, it would not be considered Leanalytics. Common applications of Leanalytics include the study of business process data using statistical analysis in order to discover and understand historical patterns with the goal of predicting and improving business performance in the future.[ Some people use the term to denote the use of Lean and Six Sigma (aka LeanSigmaItalic text) in business). Others hold that the field of Leanalytics includes the use of Lean manufacturing principles, operations research, statistics and probability. However, it would be erroneous to limit the field of Leanalytics to only manufacturing or simply the analysis of data- without considering defining and removing the non-valued activities within the process.