Analysis
Analysis is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (384–322 B.C.), though analysis as a formal concept is a relatively recent development.
Data
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.
Data Analysis
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.
Data Science
Data science is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
Engineering
Engineering is the creative application of science, mathematical methods, and empirical evidence to the innovation, design, construction, operation and maintenance of structures, machines, materials, devices, systems, processes, and organizations. The discipline of engineering encompasses a broad range of more specialized fields of engineering, each with a more specific emphasis on particular areas of applied mathematics, applied science, and types of application. See glossary of engineering.
Science
Science (from Latin scientia, meaning "knowledge") is a systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe.
Engineering
Incorrigible humanity, therefore, led astray by the giant Nimrod, presumed in its heart to outdo in skill not only nature but the source of its own nature, who is God; and began to build a tower in Sennaar, which afterwards was called Babel (that is, 'confusion'). By this means human beings hoped to climb up to heaven, intending in their foolishness not to equal but to excel their creator.
Dante Alighieri, De vulgari eloquentia, Chapter VII
Science
Within the short span of a human life and with man's limited powers of memory, any stock of knowledge worthy of the name is unattainable except by the greatest mental economy. Science itself, therefore, may be regarded as a minimal problem, consisting of the completest possible presentment of facts with the least possible expenditure of thought.
Ernst Mach, The Science of Mechanics: A Critical and Historical Account of Its Development (1893) p. 490, Tr. Thomas J. McCormack.
Engineering
A key characteristic of the engineering culture is that the individual engineer’s commitment is to technical challenge rather than to a given company. There is no intrinsic loyalty to an employer as such. An employer is good only for providing the sandbox in which to play. If there is no challenge or if resources fail to be provided, the engineer will seek employment elsewhere. In the engineering culture, people, organization, and bureaucracy are constraints to be overcome. In the ideal organization everything is automated so that people cannot screw it up. There is a joke that says it all. A plant is being managed by one man and one dog. It is the job of the man to feed the dog, and it is the job of the dog to keep the man from touching the equipment. Or, as two Boeing engineers were overheard to say during a landing at Seattle, “What a waste it is to have those people in the cockpit when the plane could land itself perfectly well.” Just as there is no loyalty to an employer, there is no loyalty to the customer. As we will see later, if trade-offs had to be made between building the next generation of “fun” computers and meeting the needs of “dumb” customers who wanted turnkey products, the engineers at DEC always opted for technological advancement and paid attention only to those customers who provided a technical challenge.
Edgar H. Schein (2010). Dec Is Dead, Long Live Dec: The Lasting Legacy of Digital Equiment Corporation. p. 60
