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AgensGraph Use Case #4. MDM(Master Data Management)

2018. 07. 25AgensGraphadmin

Master Data Management

 

AgensGraph Use Case #4.

MDM(Master Data Management)

 

The perfection of the next generation MDM(Master Data Management) system: Graph Database

Network-shaped data for facilitating analysis of relationships between data

Offering the bridge between structured and unstructured data, and the data model flexible to expansion and change

 

Hi everyone, we are Bitnine, the dedicated research and development company in graph database.

We are glad to introduce the fourth Use Case of AgensGraph: MDM(Master Data Management) Applications for B institute

 


 

While private/public R&D institutes generate a large volume of data throughout their long-term research projects, most of them, unfortunately, lack infrastructure to store, analyze, visualize, and utilize those generated research data effectively in a standardized and integrated manner.

 

The duplicates spread across multiple systems in various formats, making organized research data management almost impossible.

 

In the meantime, with a huge volume of unstructured data flooding into the IT environment these days, most are losing the opportunity to profit from hidden values created by integrated data management and analysis, as they fail to associate the unstructured master data with structured one. 

The reason why they fail is rather simple: they still rely solely on a structured data model that uses ‘tables’ and ‘join operations.’

 

 

Integrated data management with associating structured and unstructured data and
flexible data expansion and modification availability is the key of Graph DBMS!
Let’s dig into the case to see how B institute changed after its adoption of AgensGraph

 

 

Challenge

The problem that B institute faces was the existence of the non-standardized data across multiple systems. This means, if some of the desired data was in the system of other departments, they had to go through a set of complicated processes such as format unification and redundancy check to obtain it. This resulted in, understandably, data silos among different departments and overall organizational inefficiency.

 

The system of B Institute was struggling with an intertwined set of complicated, phased research outputs pouring from different departments, including both unstructured and structured master data. To top it off, there was no data model to quickly view, modify, analyze, and intuitively visualize those intertwined data. The researchers of B Institute had no other choice but to waste a substantial amount of resources in finding/organizing the data they needed, so agile and effective responses to major issues were almost impossible.

 

Master Data Management

 

In addition, because of the data formats divided by department and the difficulty in linking various data for management purposes, it was no surprise that those researchers did not have a platform for checking, visualizing, and analyzing research/experiment information.

Solution

What B Institute needed was clear. It is required to unify different data formats, implement MDM(Master Data Management) to develop more valuable data and flexibly manage it by associating unstructured data with structured one, and build interfaces through which researchers can use integrated data in an easy and effective manner.

 

Bitnine’s AgensGraph is a multi-model graph database that allows unstructured and structured data to be viewed, processed, and analyzed in a single database with an identical storage engine. Taking advantage of these features of AgensGraph, B Institute was able to build a stable and flexible graph model of all master data schemes from product material verification level to mass production level.

Benefits

Now, a new wind of change is blowing toward B Institute. Anyone can clearly understand the essence of data on account of the data standardization, secure flexibility through graph model-based MDM so that they can discover new value from the data, and quickly access the desired information on the Web platform.

 


 

This was a brief summary of B institute’s new challenge for MDM(Master Data Management) with AgensGraph.

Please visit Bitnine homepage to reach the details of this case.

 

▶MDM Full version of Use Case

 

If you have any question about our MDM, please contact us at agens@bitnine.net

 

Thank you!

 

Download AgensGraph ! Contact us

Tags: AgensGraph, Bitnine, Database, DBMS, Graph Database, GraphDatabase, Master Data Management, MDM, Use Case
Previous post AgensGraph Tutorial: Play with Northwind Next post AgensGraph Use Case #5. Cyber Threat Intelligence

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