Getting Started
This section describes the primary tasks associated with using Novell® Analyzer for Identity Manager. Tasks are presented in the order they would typically be used.
After installing Analyzer for Identity Manager, create a project for the data stores to which you want Analyzer to connect.
You can also import an existing project from Designer, if desired. To do so, select > and follow the wizard instructions.
After defining a project, you can create a connection profile, which provides the driver details necessary for Analyzer to communicate with the specified application data store.
NOTE:If you need to get data from a file, such as a spreadsheet, see Creating a Flat File Profile.
If you need to access data that is in a flat file, such as a comma-delimited file or spreadsheet, create a flat file profile. Flat file profiles provide the details necessary for Analyzer to access the specified data file.
NOTE:If you need to get data from an application data store, see Creating a Connection Profile.
Use the Schema Map Editor to create or modify schema map settings for a given connection profile or flat file profile.
A data set definition specifies the query used to generate a particular data set from the selected Connection or Flat File profile. You can create multiple data set definitions for the same profile in order to generate different data set instances.
After creating a data set definition, you can generate data set instances based on the data set definition. Once you generate a data set instance, you can also export it to a flat file.
Regardless of the method you use to generate a data set instance, Analyzer lists the currently available data set instances in the Data Set Instances view. To view a particular data set instance, double-click its entry to open a Data Browser editor for that data set instance. This lets you easily move between data set instances when analyzing and inspecting data.
After retrieving a data set, use the Data Browser editor to examine its contents. To make this easier, the Data Browser lets you further refine the objects with which you are working by filtering the object list based on the criteria you select.
The Data Browser lets you perform three main tasks:
After creating a data set instance, Analyzer lets you configure and perform analyzes on those data set instances. Analyzer’s data analysis refines and extends the data inspection capabilities available in the Data Browser.
Analyzing a data set involves two tasks:
After you have inspected the data, you can clean the data. Analyzer not only finds the bad data, it cleans the data as well.
There are multiple aspects to cleaning data:
Analyzer provides both audit and report capabilities to help you capture and communicate the results of Analyzer’s data inspection and analysis.