minor edits for readme, removing reference to appscript project creat…

…ion.

README.md

@@ -8,6 +8,12 @@ This repo will let you audit all the IAM settings on projects in the GCP organiz
 
 Create the a Virtual Machine (VM) in the Google Compute Engine dashboard.
 
+**NOTE:** You are allowed [1 free F1-micro instance per month](https://cloud.google.com/free/) in your Google environment.
+
+If you don't see the ability to create an F1-micro instance from the dashboard, you can use the following example command in Cloud Shell to create one:
+
+```gcloud compute instances create <instance-name> --machine-type=f1-micro --zone=us-east1-b```
+
 Once the VM instance has been created, stop the VM instance and change the following setting:
 
 Cloud API access scopes
@@ -26,18 +32,14 @@ Install pip3:
 Install pandas:
 ```sudo pip install pandas```
 
-**NOTE:** You are allowed [1 free F1-micro instance per month](https://cloud.google.com/free/) in your Google environment.
-
-If you don't see the ability to create an F1-micro instance from the dashboard, you can use the following example command in Cloud Shell to create one:
 
-```gcloud compute instances create <instance-name> --machine-type=f1-micro --zone=us-east1-b```
 
 
 ### IAM Role ###
 
 The service account running the machine will need to have rights to query the organization, folders, and projects for the IAM policies.
 
-Create a role under the main organization with the following permissions:
+Create a role under the main organization (at the root level) with the following permissions:
 
 orgpolicy.policy.get
 resourcemanager.folders.get
@@ -52,12 +54,9 @@ Once the role has been created, add the VM instance's service account to the rol
 
 ### Create BigQuery Table ###
 
-Create a table for the audit to push to. If you are using separate projects for BigQuery and Compute Engine, you may need to allow the service account permissions to create jobs and insert data into the table.
-
-### Create the AppScript Project ###
-
-Log into [AppScript](https://script.google.com) and create a new project. Take note of the project ID for later use.
+Create a new BigQuery table for this process to dump information to. 
 
+Note: If you are using separate projects for BigQuery and Compute Engine, you may need to allow the service account permissions to create jobs and insert data into the table.
 
 ### Install & Configure ###
 
@@ -79,7 +78,11 @@ Use crontab (or your favorite scheduler) to execute the script on your desired s
 ### Who do I talk to? ###
 
 * Nick Young
+* Enterprise Analytics Architect
+* University of North Carolina at Greensboro
 * nickyoung@uncg.edu
 
 * Tim Watts
+* Integrations Specialist
+* University of North Carolina at Greensboro
 * timwatts@uncg.edu