Master data management or MDM is a way of efficiently managing the master data. This can be achieved by developing a solution to manage master data or by purchasing MDM tools already available in the market.

MDM tools for logistics, MDM implementations for logistics, MDM systems for logisticsNeed for master data management arises because traditionally different departments in an organisation may be it logistics business or any other business have been working in silos. They have continued to maintain their master and transaction data in isolation. Just assume a scenario that a customer record exists in accounts and  purchase department. For, some reason the address gets updated but it is captured incorrectly in accounts department and all the invoices are going at the wrong address or shipping department has captured it incorrectly and all the shipments are getting delivered at wrong address.

Use of MDM in Logistics

Master data management or MDM is recourse from this peculiar problem. MDM system allows us to store all the master data at a single place and every other department collects its data from MDM, so in other words MDM becomes source of master data for all the departments whosoever wants to use it.Any address change, telephone number change or any change in any attribute of a table needs to be done in MDM and nowhere else. MDM also helps in pushing information in case of change so everybody keeps the latest information which helps in getting rid of data discrepancies in system across departments/organisations.

The case study of any Logistics organisation is one of the ideal scenario for an MDM implementation. We have different departments and most of the time at different location which sometimes necessitates to maintain various master data at local level or department level. This creates data redundancy and sometimes the organization may be serving same customer at different location as altogether a different customer. This creates problems in identifying premium customers, high value customer and effectively identifying customer churn.

This silo of information also creates problems when organizations start implementing DWH, BI and Analytics systems. The master data from these isolated system is combined into one single system and that generates lot of data redundancy which adds up and additional task of data cleansing and data scrubbing.

The MDM system enables an logistics organization to implement a centralized repository of master data which in turn is used by different operational system at different locations helping them effectively serve customers and maintain operational effectiveness.