Intro to Master Data Management

____ sets of identifiers that provides context about business data such as location, customer, product, etc.

• Metadata

• Master Date

• Master Data

• Transactional Data

data that is generated by various applications while running or supporting everyday business processes.

• Master Data

• Transactional Data

• Analytical Data

• Reference

According to Gartner, Poor data quality costs organization an average of ______ per year

• $ 6.9 M

• $ 9.6 M

• $ 13.3 M

• $ 11.3 M

Companies with good data practices could realize a ____ increase in revenue.

• 50 %

• 60 %

• 70 %

• 80%

Master data management is a solution to ensure uniformity, accuracy, _________, consistency, and accountability of all critical business data.

• stewardship

• transformation

• cleansing

• integration

The following are practices of MDM Solution, which one is incorrect.

• Cleansing

• Transformation

• Accuracy

• Integration

First Layer contains ________ system which maintains third party data from different platforms such as Siebel, Oracle, and SAP can be found.

• Registry

• Operational

• Analytical

• Transactional

In MDM Architecture, this layer will help data from source system to

be pushed to MDM layer.

• Pipeline

• ETL Layer

• Edge

• Connector

After all the practices that the data have gone through in the MDM hub, we can now call this data a ____.

• Final copy

• Golden copy

• Source

• Transformed copy

MDM Hub's goal is to synchronize sharing data with source as well as downstream systems. The following are sync mode except one.

• Real time

• Near-real time

• Batch

• Chunk