# IDR 100: Identity Graph Overview

The Identity Graph in Adobe's Real-Time Customer Profile is a foundational element that enables you to connect and consolidate data from various touchpoints and interactions with a customer. It's essentially a dynamic network of customer identities, such as email addresses, mobile numbers, social media profiles, and more. This graph helps create a unified, 360-degree view of each customer by associating all the identifiers and attributes associated with that individual.

Creating an identity graph involves several steps and technologies to consolidate and map various identifiers associated with individuals or entities across different touchpoints and devices. Here's a general overview of how an identity graph is typically created:

1. **Data Collection:** The process begins with collecting data from various sources, such as websites, mobile apps, social media, CRM systems, and more. This data includes identifiers like email addresses, phone numbers, device IDs, and cookies.
2. **Identity Resolution:** Identity resolution algorithms are employed to link or match different identifiers that belong to the same individual or entity. These algorithms consider factors like data accuracy, timestamps, and probabilistic matching to create identity links.
3. **Graph Database:** The identity graph is stored in a specialized database known as a graph database. Graph databases are well-suited for representing and querying interconnected data, making them ideal for identity graph management.
4. **Creating Identity Profiles:** As identities are resolved and linked, individual or entity profiles are created within the graph database. These profiles consolidate all known identifiers and associated attributes for each entity.
5. **Updating in Real-Time:** The identity graph should be updated in real time as new data becomes available. This ensures that the graph reflects the latest interactions and identifiers associated with individuals or entities.


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