Today, data sits fragmented and in various formats across the organization in data silos. The lack of a single, real-time repository of data is a challenge for many organizations to generate value with data analytics. Poor data quality is another major issue for many organizations.
Goals and Objectives
The goal of data management and consolidation is to make data available for analytics, both internally and externally. This includes the need to clean the data, pull the data out of data silos, and standardize/reformat the data to usable formats.
Data management, data cleaning, data consolidation, data reformatting, open source
Use Case Summary
Data management and consolidation aim to make data available for further processing — for instance, through analytics. It is also an essential prerequisite for data sharing and monetization.