First, you need to read the JSON file that contains the data you want to transfer to Redis.

```python

import json

# Replace 'your_file.json' with the path to your JSON file

with open('your_file.json', 'r') as file:

    json_data = json.load(file)

```

Depending on the structure of your JSON data, you may need to parse it to extract the relevant information. For this example, let's assume your JSON data is an array of objects.

```python

# If your JSON data is an array of objects, you can iterate over it

for item in json_data:

    # Process each item (which is a dictionary) as needed

    # For example, let's say each item has an 'id' and 'value'

    item_id = item['id']

    item_value = item['value']

    # Now you have the key (item_id) and value (item_value) ready for Redis

```

Use the `redis-py` client to establish a connection to the Redis server.

```python

import redis

# Connect to Redis (default host is localhost and port is 6379)

# If your Redis server is running on a different host or port, specify them here

r = redis.Redis(host='localhost', port=6379, db=0)

```

Now that you have your data ready and a connection to Redis, you can insert the data using the appropriate Redis command. For simplicity, let's use the `SET` command to store each item as a key-value pair.

```python

for item in json_data:

    item_id = item['id']

    item_value = item['value']

    # Insert the data into Redis using the SET command

    # The key will be the item_id and the value will be the item_value

    r.set(item_id, json.dumps(item_value))  # Use json.dumps if the value is a JSON object

```

After inserting the data, you might want to verify that the transfer was successful. You can do this by retrieving a value for a specific key.

```python

# Retrieve a value for a specific key to verify insertion

test_key = json_data[0]['id']  # Assuming you want to test the first item

value = r.get(test_key)

print(value)  # This should print the value associated with test_key

```

It's good practice to include error handling to manage any issues that may arise during the data transfer process.

```python

try:

    for item in json_data:

        item_id = item['id']

        item_value = item['value']

        r.set(item_id, json.dumps(item_value))

except Exception as e:

    print(f"An error occurred: {e}")

```

After completing the data transfer, close the connection to the Redis server.

```python

# Close the connection (not strictly necessary with redis-py, as it uses connection pooling)

r.close()

```