Document Type

Closed Project

Publication Date

Fall 2016


Tugrul Daim

Course Title

Management of Engineering and Technology

Course Number

ETM 520


Big data -- Analysis, Data analytics, Technology -- Management


In the early 2000s, the proliferation of data volume led organizations’ information technology departments to get in a critical situation in terms of data scalability. This was due to the insufficiency of available hardware connected to storage and CPU in dealing with catapulting data volumes. Technology however, bounced back in the following years thanks to Moore’s law [1] leading to the production of faster, smarter, bigger (In terms of capacity) and cheaper CPUs and storage. These breakthroughs in technology enabled companies to embrace the high data volume to their advantage. At the time, the outcomes of technology could be seen anywhere; cellphones and laptops were inseparable from people, and IT systems were being used in back offices in most companies. The focus on information itself however was minimal before that. Decades after computers had become ubiquitous, the accrued data and speed at which it was being produced led areas such as astronomy and genomics to make use of it and turn those quantitative shifts into qualitative ones by gaining new insights [2]. In the same time-frame, the term “Big Data” was coined. Big Data is now being applied to many areas of human endeavor such as Healthcare, Politics, Retail habits, and advertising among many others.


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