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Enterprise Master Data Management is crucial in streamlining maintenance and operations work, and requires a process for data cleansing and sustainment. Our Master Data solution is the only MDM solution that uses technology (not expensive consultants) to provide a standardized taxonomy, with all cleansing and sustainment being done as a subscription service.
As the only Data-as-a-Service solution in the market, our web-based solution will integrate your master data across all systems, work categories, and teams making the data accessible. We leverage smart technology like AI/machine learning software to improve your Master Data database. This includes using best practices to create a standard taxonomy and incorporate items like materials lists, preventive maintenance lists, and more. Take the burden off of managing capital and resource-intensive projects like a Master Data S/4 HANA migration, by leveraging the full robustness of our MDM solution.
The right approach to take with master data management is to view it as “routine care and upkeep.” Having a master data governance solution available as a service helps organizations end the repetitive and expensive cycle of data cleanse and sustainment projects. Our team of data scientists is continuously making improvements to your database and reviewing new and duplicate records; fully populated records are automatically integrated into your ERP, CMMS, or EAM such as SAP, Oracle, and IBM Maximo.
With Prometheus MDaaS, we’re able to collect, optimize, and organize data across the organization within one standardized system improving maintenance and reliability. Relying on a team of consultants to update an organizations master data every few years is not only costly to the company, but time-consuming. Instead of having multiple services and an army of consultants to manage your data and data analysis, we bring it all under one roof, drastically cutting down on costs, time, and resources needed to maintain Master Data sustainment projects.
Reduce production outages caused by lack of critical spare parts and additional downtime due to stockout reduction
A reduction in number of resources dedicated to undertaking master data cleaning and sustainment projects and an overall reduction in stockpiled spare parts.
Reduce inventory carrying cost by eliminating the number of free text entries entered into the taxonomy which can cut down on the number of materials ordered under multiple product names.
Integrate master data database seamlessly with work maintenance systems, making data easily accessible and organized.
Materials that are ordered using the same naming convention in your taxonomy that exists in the manufacturer's database allows teams to leverage corporate-negotiated rates for those listed materials.
No need to manage and maintain any part of the data management process cutting down on potential errors.
No organizational resources required to manage Master Data-as-a-Service.
Workers can take pictures of equipment and capture data and serial numbers (UDCPI) from images. Workers can also complete independent walk downs on site.