Part A: Crowdsourcing
For your midterm, you are to write an abstract on crowdsourcing.
Background: Today it is not unusual to see entrepreneurs rely on the crowd to seek financial assistance to support their business idea instead of going to a traditional financial investor, bank or seek venture capital. The entrepreneur uses his or her social networks and established platforms on the Internet to directly interact with the crowd. The term crowdsourcing was first introduced in 2005 by Howe and Robinson, editors at Wired, however, it is in recent years this form of funding has taken off. In 2013, crowd funding became a $5.1 billion industry and in 2014 the market grew to $16.2 billion and it is expected to exceed $34.4 billion by the end of 2015. In China alone, the crowd funding industry is expected to reach $50 billion by 2025. We are looking at a potential global crowd funding market of $90-96 billion by 2025.
Guidelines: A submission link will be provided on the course website.
• Deadlines: October 23, 2015
• Length of text: 2-3 pages
• Formatting: Single spaced, Font 12, Times New Roman
• References: 10-15
Keywords: crowdsourcing, crowdfunding, crowd wisdom, crowd creation, crowdfunding, crowd voting, crowdfunding models, SWOT.
References- References should be listed in alphabetical order, with a link to the article. Below is an example.
Breen, F. (2015). Funding offer lucrative leg-up for entrepreneurs. Retrieved September 21, 2015 from https://www.abc.net.au/news/2015-09-03/entrepreneurs turn-from-bank-loans-to-internet-crowd-funding/6747286
Part B- Big Data Analytics
For your midterm, you are to write an abstract on Big Data.
Background: Big Data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn't refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data.
Measured in terms of volume, velocity, and variety, Big Data represents a major disruption in the business intelligence and data management landscape, upending fundamental notions about governance and IT delivery. With traditional solutions becoming too expensive to scale or adapt to rapidly evolving conditions, companies are scrambling to find affordable technologies that will help them store, process, and query all of their data. Innovative solutions will enable companies to extract maximum value from Big Data and create differentiated, more personal customer experiences.
Guidelines: A submission link will be provided on the course website.
• Deadlines: October 23, 2015
• Length of text: 2-3 pages
• Formatting: Single spaced, Font 12, Times New Roman
• References: 10-15
Keywords: What is Big Data, History and Future of Big Data, Fundamentals of Big Data; Big Data in Corporations, Organizations, and Government; Types of Big Data; Big Data Visualization Tools.
References- References should be listed in alphabetical order, with a link to the article. Below is an example.
Wikipedia (2015). Big data. Retrieved October 13, 2015 from https://en.wikipedia.org/wiki/Big_data.