> For the complete documentation index, see [llms.txt](https://whiteklay.gitbook.io/virtual-data-assistant/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whiteklay.gitbook.io/virtual-data-assistant/how-to-guides/data-quality/recon-book.md).

# Recon Book

### Overview&#x20;

Recon Book provides a dedicated environment for performing data reconciliation and validation activities. Users can create or select a predefined reconciliation template, configure the required datasets and reconciliation criteria, execute the reconciliation, and review the results and identified exceptions.&#x20;

### Key Capabilities&#x20;

* Create and manage reconciliation templates.&#x20;
* Select an existing reconciliation template for a specific use case.&#x20;
* Select the source and target datasets to be reconciled.&#x20;
* Define the data elements, fields, or metrics to be compared.&#x20;
* Execute reconciliation using the selected configuration.&#x20;
* Identify mismatches and exceptions.&#x20;
* Review reconciliation results and validation outcomes.&#x20;
* Support repeatable and structured reconciliation activities.&#x20;

### How to Use Recon Book&#x20;

#### Step 1: Create or Select a Recon Template&#x20;

Create a new reconciliation template or select an existing template that matches the required reconciliation use case.&#x20;

<img src="https://803373986-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FEZ25VHhdl67JelwmVtBp%2Fuploads%2FB6p8ZaiiEPhoQUUtANjs%2Funknown.png?alt=media&amp;token=ecac0cca-ce58-4926-b6c6-94e836d66c82" alt="" height="322" width="664">

#### Step 2: Select the Datasets&#x20;

Select the source and target datasets that need to be reconciled.&#x20;

#### Step 3: Configure the Reconciliation&#x20;

Configure the required fields, matching criteria, and reconciliation parameters based on the selected template and business requirement.&#x20;

#### Step 4: Execute the Reconciliation&#x20;

Run the reconciliation to compare the selected datasets based on the configured criteria.&#x20;

#### Step 5: Review the Results&#x20;

Review the reconciliation results, including matched records, mismatches, and identified exceptions.&#x20;

<img src="https://803373986-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FEZ25VHhdl67JelwmVtBp%2Fuploads%2F4rXrwgIEf3vd6ZQHNFvB%2Funknown.png?alt=media&amp;token=c2d32003-9be9-4cfa-a8cb-da856370201d" alt="" height="208" width="664">

#### Step 6: Investigate Exceptions&#x20;

Analyze the identified exceptions and use the available data and metadata information to support further investigation and validation.&#x20;

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