Day 1 - Team I

Day 1 we studied about basics of business analytics and SPSS tool 

Business Analytics (BA): It is the combination of skills, technologies, application and process used by the organisation to build business planning or evaluate their operations through business based data and statistics.

Business Analytics empowers organisation to make confident decisions, gain business insight, and make faster to improve the competitive edge.

They were many tools used for business analytics from that we used SPSS tool

Statistical Package for the Social Sciences (SPSS):

SPSS is a tool used for Statistical analysis, Data Mining, Text Analytic's, Data collection, and Collaboration 

When you start SPSS, you get two files:

       1.    Data File

       2.    Output File

 Data file is the file where you first enter data. A data file has two views: Data view and Variable view. In Data view, you simply feed the data that has been collected. In Variable view, you describe the data that has been fed, in a number of terms. These are:

Variable Name (Stu name, Stu age, marks, etc)

Variable Type (String, numeric, dollar, etc)

Variable width (The maximum length of data that each instance of the variable can hold)

Decimals (upto how many decimal places)

Label (description about the variable name)

Value (eg: Relationship status, age group, etc): A variable value may be Category or Continuous. Further a Continuous variable may be continuous or discrete.

Missing ( not applicable, blank, etc)

Column (for a given width, how many characters you may want to make visible)

Align (left, right, centre, etc)

Measure: It may be one of the following:

1.            Nominal:  measurement the numerical values just "name" the attribute uniquely. No ordering of the cases is required.

Example:  jersey numbers in basketball are measures at the nominal level

2.            Ordinal: measurement the attributes can be rank-ordered. Here, distances between attributes    do not have any meaning. 

3.            Scale Data: In this type of data grouping, data is not only ranked, but the difference can also be ascertained. 

Once the data has been defined properly, we would then want to perform certain operations on it. For any action performed on the data in the data file, the results can be seen in the Output file. For instance, if you want to check frequency of some variable, you go to Analyze option in the Menu bar, then select Descriptive Statistics, then frequencies. From the list of variables, push the desired one in the adjacent box and click OK, to get the result & output in the output file.

Bloggers Name (Team I)

Shruti Bamba