Data analytics is

• the art and science of cleaning data.

• the process of examining data sets in order to draw

  conclusions about the information they contain using specialised software

• a technology-enabled discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets.

Types of data analysis include

• Prescriptive

  Diagnostic

  Analytic

  Descriptive

• Descriptive

  Prescribed method

  Analytic

  Diagnostic

• Descriptive

  Prescriptive

  diagnostic

  predictive

Artificial intelligence is the best example of which type of data analysis:

There are _ steps in the data analysis process.

• 7

• 3

• 5

The 5 Data types analysed in the data analysis process include:

• Relational data

  Meta data

  time-related data

  transactional data

  hyper-text data

• Meta Data

  Master Data

  Relational data

  Time-sensitive data

• Relational data

  Time-related data

  Transactional data

  Hyper-text data

  Stream data

A data set consists of

• entities

• raw data

• objects

Data found in both relational databases and open databases can be both :

• Unstructured and raw

• structured and unstructured

• meta and raw

The main difference between Management information System (MIS) and Business Intelligence is:

• MIS is looking at expenses and revenue reporting of a business while BIS looks at the data to find patterns that could aid the overall operations.

• the type of data and how it is handled.

• Nothing, they are the same.

Big data is.....

• information such as facts and numbers used to analyze something or make decisions.

• data or information about data

• data that contains greater variety, arriving in increasing volumes and with more velocity.

The Four Vs of big data are:

• volume

  variety

  visual

  velocity

• Volume

  velocity

  variety

  veracity

• There are actually 5 Vs. Volume, variety, veracity and validity.