To move data from an Excel file to Redis, ensure you have both Python and Redis installed on your machine. Python will be used to read the Excel file and interact with Redis. You can download and install Python from the official website (https://www.python.org/downloads/) and Redis from their official site (https://redis.io/download).

You’ll need a few Python packages to handle Excel files and communicate with Redis. Use pip to install these packages by running the following command in your terminal or command prompt:
```
pip install pandas redis openpyxl
```
`pandas` will help read the Excel data, `openpyxl` is a necessary engine for reading `.xlsx` files, and `redis` is the client library to interact with the Redis server.

Use Python to read the data from your Excel file. Create a Python script and use pandas to load the Excel data:
```python
import pandas as pd

# Replace 'your_file.xlsx' with your actual Excel file path
excel_data = pd.read_excel('your_file.xlsx', engine='openpyxl')
print(excel_data.head()) # Display the first few rows to ensure data is loaded correctly
```
This step reads the data into a DataFrame, which is a tabular data structure suitable for processing.

Establish a connection to your Redis server using the `redis` library. Ensure your Redis server is running:
```python
import redis

# Connect to Redis (adjust host and port as necessary)
r = redis.StrictRedis(host='localhost', port=6379, db=0)
```

Decide how you want to store the data in Redis. Redis is a key-value store, so you need to determine how to represent your data. For example, you might store each row as a hash, with a unique key for each row:
```python
for index, row in excel_data.iterrows():
key = f"row:{index}"
data = row.to_dict()
r.hmset(key, data)
```

Use the Redis client to insert the data into your Redis instance. If you're using the example from Step 5, the `hmset` command stores each row as a hash in Redis:
```python
for index, row in excel_data.iterrows():
key = f"row:{index}"
data = {str(col): str(row[col]) for col in excel_data.columns}
r.hmset(key, data) # `hmset` is deprecated; consider using `hset` for newer versions
```

Finally, check that your data has been uploaded correctly by retrieving a sample from Redis:
```python
# Retrieve and print the stored data for verification
sampled_data = r.hgetall('row:0') # Get the first row for example
print(sampled_data)
```
This step ensures that the data has been correctly stored in Redis by fetching and displaying a sample entry. Adjust the key as required to check different data points.

By following these steps, you can manually transfer data from an Excel file to a Redis database without relying on third-party integrations.