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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM36250

Event-Driven Data Integration to Automate Elevator Service Contract Booking Between MS Dynamics and Oracle JDE with Operational MDM for Master Data Integration

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM36250

Volume:

8 |

7 |

Jul 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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10.55041/IJSREM36250

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SHK

Shreesha Hegde Kukkuhalli

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Abstract

With increasing digitization in industries, data driven integration between enterprise systems is critical for automating business processes and improving efficiency. This paper presents a novel approach to automate elevator service contract bookings by integrating Microsoft Dynamics (MS Dynamics) with Oracle JD Edwards EnterpriseOne (JDE) through event-driven data integration. A key aspect of this integration is the utilization of an Operational Master Data Management (MDM) system to ensure consistency of master data across both platforms. This event-driven architecture significantly reduces manual intervention and improves data accuracy by ensuring near real-time synchronization of data across systems. Paper will also explore a case study where this event driven automation was implemented for a large elevator and escalator manufacturing and services company to reduce overall contract booking turnaround time from 45 days to 5 days and save more than $1M in labor cost over 3 years.

KEYWORDS

Event-driven integration master data management (MDM) enterprise resource planning (ERP) MS Dynamics Oracle JDE automation service contract booking data synchronization.

Cite This Article

Shreesha Hegde Kukkuhalli, "Event-Driven Data Integration to Automate Elevator Service Contract Booking Between MS Dynamics and Oracle JDE with Operational MDM for Master Data Integration," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 7, Jul 2024. https://doi.org/10.55041/IJSREM36250

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6/10/2024

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