Understanding Master Data Management (MDM) Informatica announced its continued partnership with Siperian expanding the link between data integration and master data management. This renewed partnership not only shows how complementary products can be used together, but also how partnership strategies reflect industry trends and vendor and product roadmaps. Additionally, when vendors partner with one another and develop connectors enabling technologies to work together without complicated integration tasks, organizations are the main entities that benefit.This article is broken out into two parts. Part 1 provides an overview of what Siperian and Informatica offer in terms of technology and how it overlaps. The main focus of the piece is how Siperian's partner strategy benefits both Siperian and Informatica customers based on Siperian's perspective. An overview is provided about how both technologies work together and what organizations should be aware of when relying on vendor partnerships. Part 2 identifies Informatica's focus on MDM and how they leverage their partnerships to do so and provides an explanation of how both solutions overlap to provide a full master data management solution.How it worksBefore learning about how customers benefit from vendor partnerships, it is important to understand how using Siperian and Informatica together works. Below provides an overview of how MDM fits within an overall data integration and migration framework. Information from various operational systems, databases, and unstructured data sources are cleansed and migrated into a hub where one system of record is created. This is where a single version of the truth gets created in relation to customer, supplier, product, etc. Additionally, the hub can be used for vertical applications such as pharmaceuticals, telecommunications, oil and gas, and financial services.Entity views are based on business agreement of what a customer or supplier or chosen MDM focus means. Once this information is stored it can be fed back into operational systems to keep information up to date, or provide simple look-ups for CRM related applications so that employees constantly know what is happening with the customer. Overall, the goal is to develop one set of data that can be referenced and used to increase data quality and customer value.