Big Data Lesson 6 – Big Data in Business

Big data for business

  • Predictive marketing

Big data is used to predict major life events like graduating or getting married, having a child, they do that by looking at the consumer behavior by monitoring the type of websites they visit. For a real-life example check this link ( how target found out the girl was pregnant)

 

  • Looking at consumer behavior.

By looking how often you log into their website, they can check what type of items you are looking.

Real life example:

I was looking to buy a mac book air on Amazon, then I changed my mind and I was watching youtube all the ads in the google ads were about mac laptops from Amazon

Another example: I wanted to buy some books about Data mining, but for some reason, I postponed buying it, next week I got an email from Amazon of all the highly rated Data mining books, I ended up buying 2, and they were really good.

  • Using Demographics

Demographics like age- marital status – home address- websites you visit

  • Predicting trends:

The edited retail company won an award for using big data in predicting fashion trends, so they can actually tell the retailers what most popular colors, styles, brands when they are going to be popular which will help them in pricing them

 

Introduction to Big Data Lesson 5

Lecture 5

Objectives:

  • What is Variety in Big data?
  • What is Structured data and Unstructured data and Multistructred data?

 

Variety

Variety point to the many sources and types of data both structured and unstructured.We used to store data from sources like spreadsheets and databases. Now data comes in the form of emails, photos, videos, monitoring devices, PDFs, audio, etc. This variety of unstructured data creates problems for storage, mining and analyzing.

Structured data: refers to a data which are contained in relational databases and spreadsheets.

Unstructured data: is all those data that can’t be so readily classified and fit into a neat box: photos and graphic images, videos, streaming instrument data, webpages, PDF files, PowerPoint presentations, emails, blog entries,tweets, wikis and word processing documents

Multi-structured data refers to a variety of data formats and types and can be derived from interactions between people and machines, such as web applications or social networks. A great example is web log data, which includes a combination of text and visual images along with structured data like form or transactional information