FAQs
Dive into the latest FAQs about EIIG
How does EIIG identify and enable more efficient usage of “golden” data sources?
EIIG automates the identification of golden / certified data sources, thus helps drive and control their usage in cases such as new application development. It can enable metadata discovery to [...]
Why is it important to have data catalog, data lineage, information traceability and transparency, metadata analytics, and all other key components of a self-defined data fabric natively integrated in one platform?
Quite a few vendors claim that they offer a data fabric. However, what you will find is often a patchwork of loosely connected modules and even products by different [...]
How does EIIG identify data assets that have the most value and risk to ensure governance and compliance?
With EIIG metadata analytics, organizations can automatically discover what data assets/data flows are non-preferred/redundant/non-used. EIIG also helps determine which data assets should be cleaned-up/minimized, migrated and/or decommissioned. The fact-based visibility provided [...]
How scalable is EIIG?
Scalability is one of EIIG’s trademarks. It can be scaled to support the largest enterprise IT environment. For example, one of the largest financial services companies leverages EIIG to [...]
Can different user personas get their perspective views from the same metadata sets?
Yes. Enterprise segments/user personas can see their view and how it relates to other views built upon the same metadata.
Does EIIG require any coding?
Absolutely not. EIIG is a highly automated platform. All features are out of box and require no coding.
How does EIIG reduce the cost of maintenance of repositories and data catalogs?
The maintenance of repositories and data catalogs is often done manually with some solutions. EIIG automates these efforts in the following ways: Create and agree to a metadata target [...]
Does EIIG have any impact on production data?
No. EIIG works only on the metadata level. There is zero impact on production data. (ZIP).
How is EIIG able to be deployed in weeks rather than months or even years as the case with other vendors?
As mentioned elsewhere, EIIG is highly automated, from metadata ingestion, deep data cataloging, data lineage, to a wide range of metadata analytics. All features are out of box and [...]
How does EIIG enable clients to achieve the lowest total cost of ownership?
EIIG can ensure the lowest total cost of ownership because EIIG is highly automated, as mentioned above. It is easy to implement and use. Customers don’t need to hire [...]
What is the importance of dedicated, AI/ML-empowered metadata ingestors?
A self-defined data fabric starts with efficient ingestion of metadata. Not all metadata ingestors or scanners are created equal. Only dedicated, AI/ML-empowered ingestors can do the job quickly, accurately, [...]
