Every business is built on its data. Regardless of how that data is created or what it represents, accurate, accessible, uniform, and consistent information is the keystone of a solid organization. A master data management (MDM) solution puts you firmly in control of the quality, accuracy, and governance of your organization’s data.
As compliance and regulatory standards get increasingly more complex over time, maintaining a single source of data truth becomes more and more critical. This is what master data management is built to do. MDM ensures data quality is maintained by establishing robust guidelines for data governance, access, and management.
With multiple decades of operational experience, Trianz is ideally placed to advise on the best MDM approach to meet your business needs. Here we look at common MDM implementation styles that can help you to decide which solutions most closely match the requirements of your organization.
Transactional master data management solutions maintain a centralized source of data that updates sources from its single authoritative record. Master data is updated by consistently publishing changes back to their original source.
Systems built using a transactional approach ensure the master record is always accurate, complete, and up to date. Perhaps one of the simplest and most effective master data management strategies, transactional systems simplify security policies and data verification.
Data consolidation relies on multiple sources within the hub to create a single version of data truth. In MDM this concept of sole authentic copy is known as the golden record. This record is stored in the central hub with updates and changes to master data being later applied to their source.
Consolidation enables organizations to pull master data from existing systems and bring them into a single managed MDM hub. Within the hub, data can be cleansed, integrated, and matched to maintain a single record of the master domain.
Some advantages of a consolidation style MDM approach are:
Fast and efficient system to provide enterprise-wide reporting
Inexpensive way to set up a master data management solution
Ideal for data analysis
Similar to consolidation, coexistence-style MDM enables the construction of a golden record that maintains a verified copy of data. However, coexistence maintains this golden record as only a part of the central MDM system. Application systems in a coexistent MDM solution are permitted to make changes to data at will.
Changes to data from application systems are later synchronized with the hub. The primary benefit to the coexistence style is the ability to maintain separate sources of data while still offering a single version of data truth.
Some other advantages of coexistence MDM:
Master data quality is improved by the addition of sources
Faster access to a single source
Reporting is simplified as all data attributes are maintained in a single place
Registry-style MDM never sends data back to the source systems. The system works by attributing unique identifiers to each record to index data and enable a single record of truth. A view of the source data can be accessed as required, governed by the golden record to ensure reliability.
The registry style establishes a single, authoritative source available to source systems. Data can be analyzed without the risk of being overwritten from source systems. These features can be ideal when prioritizing issues such as regulatory compliance.
Trianz is a world leader in master data management consulting. Depending on the challenges your business faces and the priorities your organization wants to establish, any one of these or other master data management solutions could be what sets you on the right track.
Our extensive knowledge, partnerships, and MDM best practices enable us to advise you with expert care on the optimal solution and services for your data.
Contact our master data management team today to ensure the foundations of your business are on solid footing.
Contact Us Today
Breaking Down the Walls Every organization deals with data in one way or another—whether in a database, data warehouse, or other architecture type. With this data comes a management burden, as customer data must be protected in line with data regulations. IT teams struggle with data pipelines: controlling access to datasets across numerous products, services, and business applications. Improper data governance and security configurations can prevent data access entirely and leave data in the wrong internal or external hands.Explore
Putting Data to Work Recently, one of the world’s largest global shipping companies was seeking to identify new revenue opportunities; specifically, they were interested in monetizing their data by building other, related business intelligence products for different industries. Like many other businesses, they had found themselves sitting on a mountain of actionable data without any processes in place to explore or leverage said data. Their intentions were now pointed in the right direction, but what they were missing was a data monetization strategy.Explore
The Data Tide Businesses in the digital age are inundated with data as it floods in from multiple channels. This data is both a challenge to wade through and an absolute goldmine. Its tremendous potential can be harnessed to communicate meaningfully with audiences and advance an organization’s brand awareness in the public eye. The problem is, however, that raw data itself can’t tell a compelling story to most people. It needs to be woven together artfully to create a narrative that connects with a specific audience. This is where data-driven storytelling comes in.Explore