
Professional services and products for enhanced data management, modernization, and analytics1-10 Employees
- B2B
- Early StageStartup in initial stages
Enterprise e-Support careers
Enterprise e-Support currently offers two products:
The EES Enterprise Information Management (EIM) tool offers a simple GUI driven interface to its customers which aids in classifying and managing their data assets and facilitates building of data assets catalog. The tool focuses on creating a standards-based hierarchical classification for your metadata, which then allows you to create a line of sight into your data assets. This lineage can then be leveraged through our tool to facilitate self-service and easily sub select sections of data that you need for decision making. Additionally, the tool also provides features to
import/export your current classification, mapping and data assets and generates impact reports.
The EES National Information Exchange Model (NIEM) tool offers a simple GUI driven interface to its customers which aids in creating context to your data and helps distribute it to internal or external partners in a machine-readable format such as XML and JSON.
The EES Enterprise Information Management (EIM) tool offers a simple GUI driven interface to its customers which aids in classifying and managing their data assets and facilitates building of data assets catalog. The tool focuses on creating a standards-based hierarchical classification for your metadata, which then allows you to create a line of sight into your data assets. This lineage can then be leveraged through our tool to facilitate self-service and easily sub select sections of data that you need for decision making. Additionally, the tool also provides features to
import/export your current classification, mapping and data assets and generates impact reports.
The EES National Information Exchange Model (NIEM) tool offers a simple GUI driven interface to its customers which aids in creating context to your data and helps distribute it to internal or external partners in a machine-readable format such as XML and JSON.
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Avyuk Dixit
Chintan Dixit
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