Data Essentials is the process of cleansing, standardizing, and inferring values to enable your database to be as clean and complete as possible before employing more advanced use cases.
Data Essentials is the Openprise foundation for more advanced use cases, such as segmentation, deduplication, lead-to-account matching, and routing.
Common fields for cleansing/standardization include Street, City, State, Postal Code, Country, Phone, Email, and Website. Additionally, camel casing First Name, Last Name, and Title fields is best practice.
You may also want to create a simplified version of company names for future use for matching in solutions such as lead-to-account matching.
The process can also include inferring values using Openprise's Data Catalog. For instance, if you have a postal code and country, you can use an Open Data Source to infer city and/or state.
You can/should create processes for relevant/important objects in your database. For instance, Data Essentials for Accounts, Contact and Leads. The process can be implemented for any data source residing in Openprise.