Put in sequence the four steps to convert the raw real-world data into minable data sets:

(A) Data Cleaning
(B) Data Reduction
(C) Data Transformation
(D) Data Consolidation

Choose the correct answer from the options given below:

Correct option is C

The correct sequence to convert raw real-world data into a minable data set is:

(A) Data Cleaning → (D) Data Consolidation → (C) Data Transformation → (B) Data Reduction

1. Data Cleaning (A):
   This is the first step, essential to remove noise, correct inconsistencies, and handle missing values. Clean data is foundational for reliable analysis.

2. Data Consolidation (D):
   Once cleaned, data often comes from multiple sources. This step integrates data from different databases/sources into a single coherent dataset.

3. Data Transformation (C):
   After consolidation, the data must be converted into suitable formats (e.g., normalization, aggregation, encoding). This makes it ready for mining.

4. Data Reduction (B):
   The last step is to reduce the volume of data while preserving important information. This improves mining efficiency and speed.

This ordered process ensures the data is accurate, unified, formatted correctly, and manageable in size—ideal for mining.

Information Booster:

The correct sequence—Data Cleaning → Data Consolidation → Data Transformation → Data Reduction—is crucial in preparing raw data for mining.

Data Cleaning is the foundation of preprocessing and involves handling missing values, removing inconsistencies, and correcting errors to ensure data quality. After cleaning, Data Consolidation is performed to integrate data from multiple sources into a unified dataset, making it easier to work with. Once consolidated, Data Transformation is applied to convert the data into suitable formats using techniques like normalization, encoding, or aggregation. Finally, Data Reduction helps decrease the volume or dimensionality of data while preserving essential features, making the mining process more efficient and less resource-intensive. This flow ensures that data becomes reliable, integrated, formatted, and optimized for analysis.​