Thursday, April 6, 2017
09:30 AM - 10:15 AM
The DGaaS defines a mechanism that allows users to define a single virtual repository using Data Virtualization techniques where business people can search before they start creating their own silos (business and entity names), avoiding duplicity and promoting re-use inside the organization. We create a hotkey functionality that provides an easy way to search within any application, highlighting the word or phrase to search and call a Windows key function for the searching process.
We recognize the need to create a single repository using Data Virtualization, looking for one version of the truth. The hotkey functionality allows customers to search for Business/Entity names before they start creating them, facilitating re-use and avoiding data silos.
There are multiple disadvantages regarding maintaining multiple business glossaries. Some of the most important are below:
- Business glossaries spread across the enterprise in spreadsheets/siloed systems
- No integration of business terms to business process
- Duplicates or new data created via separate glossaries
- Too manual, high overhead and no effective process
- The low trust of data quality, since we cannot measure what we are not collecting
- No unified search mechanism for bringing all the related information to a business glossary term
The Data Glossary as a Service solution provides a way to:
- Maintain a Gold dataset that combines the best unique business terms, and maintain these on a single virtual repository using Data Virtualization techniques
- Capture/Catalogue shared, common, approved business terms
- Resolve/Relate business terms across business units
- Enable the search for business terms for all knowledge workers
- Enable fast searches from any application (ERStudio, ERWin, Cloudera, Word, Excel, SharePoint, etc.) using a Windows key functionality
An Enterprise Architect working with IT-ESIT (Enterprise Solutions for IT), Guillermo Rueda holds dual Master's degrees in Engineering and Technology Management from Portland State University (OR, USA) and a Master's degree in Computer Science with a Minor in Artificial Intelligence from ITESM (Mexico). Guillermo had published more than 20 papers for International Journals and Conferences. He has been working in the Data Virtualization and Big Data areas during recent years. Guillermo is a Certified Black Belt Lean Six Sigma and a data lover.