Urgent Assignment
Analytics process
Adopted from the data science methodology for BUIS 462 project
Analytics process
Step 1: Business Understanding including users
Step 2: Data Understanding
Step 3: Data Preparation (!)
Step 4: Preparing Analytic Solutions
Descriptive Analytic solutions (DAS)
Predicative Analytic solutions (PAS)
Step 5: Deployment – Preparing Dashboard or other GUI based access for user
Data Preparation – A Critical Task
3
Preparing Analytic Solutions
DAS - Chapter 4
PAS – Chapter 5
Refer to the Data science methodology 101 class you have completed from IBM’s Big data university
Tool to use – IBM Watson Analytics
Refer to the Watson 101 course you had completed
An Example of a Report (see on Blackboard under the folder term project in Assignments)
Data Consolidation
Data Cleaning
Data Transformation
Data Reduction
Well-formed
Data
Real-world
Data
·Collect data
·Select data
·Integrate data
·Impute missing values
·Reduce noise in data
·Eliminate inconsistencies
·Normalize data
·Discretize/aggregate data
·Construct new attributes
·Reduce number of variables
·Reduce number of cases
·Balance skewed data