Why do organizations change data catalog vendors? Take a look at some of the top reasons a change in vendors is needed.
- Change in leadership: The new leader could possess a wealth of expertise from working with alternative data catalogs, or perhaps they have encountered challenges while utilizing the same data catalog in various organizations.
- A package deal from a big vendor: The core data management capabilities of the organization are undergoing a significant transformation, with the introduction of a new vendor who offers a bundled product that includes a data catalog. It is worth noting that the leadership may not possess a comprehensive understanding of the intricacies involved in this exciting change.
- Lower adoptions: The product was launched, but unfortunately, it hasn’t gained as much traction as anticipated. The leader in charge struggled to handle the complex changes required for adoption. Additionally, a considerable number of mid-level managers exhibited minimal involvement in the implementation procedure.
- Product implementation lifecycle: The process of bringing the product to go live is quite time-consuming, and there are numerous customizations required to meet the business requirements. Additionally, it poses a significant challenge for the team to maintain it. Furthermore, upon rolling out to multiple functional areas, legal entities, and geographical regions, it has been discovered that the data catalog is unable to handle the complexities.
- Usage life cycle: The product has been in use by end users for a considerable period of time, and as a result, they have gained a comprehensive understanding of its limitations and areas for improvement. Furthermore, despite providing detailed explanations of user grievances, the Vendor has failed to deliver any of the promised advanced features.
- Meet the demand: The vendor was repeatedly requested to enhance the product in order to align with specific business requirements. However, the vendor’s response time was considerably lengthy in meeting these demands. In certain instances, the vendor could only partially fulfill the stipulated requirements or failed to deliver the promised changes as requested.
- Competitive advantage: All peer organizations are currently utilizing the identical product, prompting the desire to transition towards a contemporary catalog that offers enhanced capabilities in order to attain a competitive advantage.
- Lack of required resources: To ensure the content remains vibrant and dynamic, numerous manual activities are required. However, regrettably, there is a scarcity of allocated resources to carry out these essential tasks. It hinders progress, restricts innovation, and limits the ability to meet the needs and demands.
Does your organization need to change data catalog vendors? Schedule a demo to learn more about EIIG’s data catalog capabilities.
About the Author: Ram Pratti is the Chief Evangelist at Orion Governance, Inc. Connect with Ram on LinkedIn.
recent posts
Orion Governance’s Enterprise Information Intelligence Graph (EIIG) Fast-tracks AI Audit Readiness
AI audit readiness means an organization can demonstrate—not merely claim—that its AI systems are built on trusted data, governed [...]
How Orion’s Enterprise Information Intelligence Graph (EIIG) Transforms Python and Java into Trusted Data for AI
Many data governance platforms claim support for Python and Java, but their capabilities often end with cataloging code repositories [...]
How Orion Governance’s Enterprise Information Intelligence Graph Enhances AI Explainability
As organizations accelerate AI adoption, a critical barrier limits trust in AI outcomes: the inability to clearly track where [...]
How Orion Governance’s EIIG Enables Blast Radius Calculation to Strengthen Data and AI Governance
In modern enterprises, data ecosystems have become deeply interconnected across cloud platforms, AI pipelines, analytics tools, legacy systems, and [...]
How to Leverage Orion Governance Enterprise Information Intelligence Graph to Implement Data Governance Framework
To use Orion Governance Enterprise Information Intelligence Graph (EIIG) effectively, you shouldn’t treat it as “just a tool.” It [...]
Orion Governance Enterprise Information Intelligence Graph Data Quality Baseline Report
A Data Quality (DQ) Baseline Report acts as the "health check" of your data before any remediation begins. In [...]







