Log into your NetSuite account and navigate to the specific data you want to export. This could be a list of transactions, customer data, or inventory details. Clearly identify the fields you need, as this will help in creating a saved search or report to retrieve the data efficiently.

Go to the Reports or Saved Searches section and create a new saved search. Configure the search criteria to filter the data you need. Add the necessary columns by selecting the fields that you want to include in your JSON output. Save and run the search to ensure it captures the intended data accurately.

Once your saved search is set up, use the 'Export - CSV' functionality provided by NetSuite. This will download the search results in CSV format. Download the CSV file to your local machine for further processing.

Open the CSV file using a spreadsheet application like Microsoft Excel or a text editor. Review the data to ensure it matches your requirements. Make any necessary adjustments, such as cleaning up column headers or removing unnecessary fields, to streamline the conversion process.

Use a programming language like Python to write a script that converts CSV data to JSON format. Use libraries like `csv` and `json` in Python to read the CSV file and convert it to a JSON structure. Ensure the script handles different data types and encodings effectively.

Example Python snippet:
```python
import csv
import json

csv_file = 'data.csv'
json_file = 'data.json'

with open(csv_file, mode='r', encoding='utf-8') as file:
csv_reader = csv.DictReader(file)
data = [row for row in csv_reader]

with open(json_file, mode='w', encoding='utf-8') as file:
json.dump(data, file, indent=4)
```

Run the script you created to convert the CSV file into a JSON file. Ensure the output JSON file is correctly formatted by checking a few records manually. Look for issues like missing fields or incorrect data types that could affect data integrity.

Open the generated JSON file using a code editor or a JSON validator to verify its structure and content. Once validated, store the JSON file in your desired location for further use or integration into other systems. You can now utilize the JSON data for various applications, such as data analysis or integration into other platforms.