Without a comprehensive 360-degree view of their data ecosystem, information stakeholders often find themselves in the dark regarding the origin, lineage, business logic, and utilization of their data assets.
Analysts must often spend an excessive amount of time researching and resolving issues that arise from this lack of clear insights.
Limited data insights also impact the decision-making process, delay projects, and reduce overall operational efficiency in the organization.
Most organizations struggle to determine how to best leverage emerging technologies such as Artificial Intelligence, Data Lakehouses and Data Fabrics.
A wide variety of platforms have often been implemented to support enterprise analytics initiatives, including data integration solutions, data cataloging products, metadata management systems, and many others.
This results in higher costs, system integration challenges, and an unnecessarily complex technology portfolio.