Description

Session ID: 10358

Abstract: While talking about Digital EAM, it is important to understand the significance of, and clearly define 'Data Standardization' & ' Data Harmonization'. To set the right expectations, a clear strategy is necessary to map out the Pros & Cons of Standardization & Harmonization. Presenter will discuss best-practice Data Cleansing Techniques & Approaches with a range of results for Customer Hub, HCM Hub & Financials. The end-goal should be to store cleansed data in EAM Solution to act as a reference for external systems.

Objective 1: Understanding and defining the various data elements and the end-goal of a Data Quality Management strategy

Objective 2: Focusing on Case studies for Customer Data hub, HCM Data Hub and Financial Data Hub

Audience: -All-

Interests