カテゴリー 全て - evaluation - data - business - selection

によって G Thulasiram 8年前.

586

CRISP-DM

Effective data analysis hinges on the structured approach of understanding and selecting the appropriate data relevant to business goals. Key steps include preparing and cleaning data, ensuring its quality, and verifying completeness and correctness.

CRISP-DM

Problem Should Drive Data Selection

CRISP-DM

Data Modelling

Easy to use
Efficient
Mathematically sound
Succint

Data Preparation

Format the data
Construct data
Clean the data
Integrate Data files
Select Relevant Data

Data Understanding

Verify Data Quality
Missing Values
Errors in Data
Correctness
Completeness of Data
Explore Data
Describe Data
Data Dictionary
Collection of Relevant Data
Semi Structured
Unstructured
Structure

Data Evaluation

Data Testing

Data Deployment

Business Value

Business Understanding

Goals of Data Analysis
Business Objectives