Chapter 7 Flashcards
Customer satisfaction
Survey based. Offline.
qdap (Quantitative Discourse Analysis Package)
An R package designed to assist in quantitative discourse analysis. The package stands at a bridge between qualitative transcripts of dialogue and statistical analysis & visualization.
Connected to a sentiment analysis.
How can it be analyzed if results from an analysis are positive, negative, or neutral?
Using qdap R-package.
External unstructured data
Social media data
Blogs
Review sites
External structured data
Public data
ZIP code data
Household data
Internal unstructured data
Customer contact data (e-mail, text message, shop, website)
Mobile data
Internal structured data
CRM data
Sales data
Invoice data
Transaction data
Value
Usability.
Sits at the top of the big data pyramid. It refers to the ability to transform the tsunami of data into business.
Veracity
= quality.
Are the data accurate and clean?
Variety
Different (unstructured) data types.
The importance of different sources of information varies depending on the nature of the business.
Velocity
Continued stream.
Companies need the information flow quickly - as close to real-time as possible.
The data must be available at the right time to make appropriate business decisions.
Volume
Large amounts. This is at the base of Big Data.
5 V’s of Big Data
- Value
- Variety
- Veracity
- Velocity
- Volume
Why is data growing (exponentially)?
- Because data is generated in real-time
- Because data storage is becoming cheaper
- Because storage limits become bigger
- Because there is a move from analog storage to digital storage.
Unstructured data (meaning)
Information that is not arranged according to a pre-set data model or scheme.
