Warsaw, Poland

Big Data and Business Intelligence in Marketing and Sales
(field of studies: Marketing and Sales)

Big data i business intelligence w marketingu i sprzedaży

Bachelor's
Table of contents

Big Data and Business Intelligence in Marketing and Sales at Merito Warszawa

Field of studies: Marketing and Sales
Language: PolishStudies in Polish
Kind of studies: full-time studies, part-time studies
  • Description:

  • pl
University website: www.merito.pl/english/warszawa

Definitions and quotes

Big Data
Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are a number of concepts associated with big data: originally there were 3 concepts volume, variety, velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.
Business
Business is the activity of making one's living or making money by producing or buying and selling goods or services. Simply put, it is "any activity or enterprise entered into for profit. It does not mean it is a company, a corporation, partnership, or have any such formal organization, but it can range from a street peddler to General Motors." The term is also often used colloquially (but not by lawyers or public officials) to refer to a company, but this article will not deal with that sense of the word.
Business Intelligence
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.
Data
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.
Intelligence
Intelligence has been defined in many different ways to include the capacity for logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, and problem solving. It can be more generally described as the ability to perceive or infer information, and to retain it as knowledge to be applied towards adaptive behaviors within an environment or context.
Marketing
Marketing is the study and management of exchange relationships. Marketing is used to create, keep and satisfy the customer. With the customer as the focus of its activities, it can be concluded that Marketing is one of the premier components of Business Management - the other being innovation.
Sales
Sales is activity related to selling or the amount of goods or services sold in a given time period.
Intelligence
She had found the answer to her affliction—conformity! She had already learned to conceal her intelligence. So many of us break our hearts before we learn that.
Mark Clifton, in Star, Bright. Originally published in Galaxy magazine (July 1952); collected in Fadiman (ed.) The Mathematical Magpie, p. 75
Intelligence
It has yet to be proven that intelligence has any survival value.
Arthur C. Clarke, clarkefoundation.org
Business
I never can make out how it is that a knight-errant does not expect to be paid for his trouble, but a peddler-errant always does.
John Ruskin, The Crown of Wild Olive: Three Lectures on Work, Traffic, War (1866), p. 127.

Contact:

ul. Łabiszyńska 25
03-204 Warszawa

Domaniewska 50
02-672 Warszawa
Tel.: 22 256 23 00
E-mail: rekrutacja.targowek@warszawa.merito.pl
rekrutacja.mokotow@warszawa.merito.pl
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