Master Data as a Service (MDaaS)
Streamline Master Data Governance with Prometheus Master Data Management
Do you want to decrease costs through improved master data accuracy and streamline your master data management? Our Master Data Management software solution uses technology (not expensive consultants) to provide a standardized taxonomy, with all cleansing and sustainment being done as a subscription service.
With Prometheus MDaaS, we’re able to collect, optimize, and organize data across the organization within one standardized system, significantly improving maintenance and reliability. Relying on a team of consultants to update an organization's master data every few years is not only costly to the company but also time-consuming as well. 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.
Key Features of Prometheus Group MDaaS Software
Field Data Collection
Utilize the power of a cloud-based system through your mobile device. Perform field walkdowns to capture and collect asset information with the MDaaS Capture application.
- Gather missing asset information from the field to build out your records and create a complete digital record of each of your assets.
- Quickly and easily gather asset data from even the most worn-out, dirty, or rusty nameplates, tags, and labels.
- Harness the power of machine learning, image recognition, and optical character recognition to identify equipment, material class, and required ISO 14224 characteristics.
Master Data Standardization
MDaaS Enrich is an AI machine learning-based solution designed to improve your master data. The MDaaS Enrich process is internally managed by Prometheus Group to provide you with complete records, without requiring any work on your end.
- MDaaS Enrich leverages machine-learning algorithms to make your asset master data consistent, up-to-date, and accurate across your organization.
- MDaaS Enrich can create complete records by taking minimal information about materials and equipment, then cross reference it with a database to add additional information, such as manufacturing name, part number, URL, structured short and long descriptions, characteristics, values, and UNSPSC or ISO 14224 codes.
- MDaaS Enrich identifies duplicate records and obsolete inventory within your system of record, consolidates data, and eliminates duplicate information.
- Once your data is cleansed and enriched, MDaaS Enrich sorts your data into consistent, organized classes according to industry-specific taxonomies.
Governance Workflows
MDaaS Sustain provides a system that allows you to check, update, load, and audit all of your master data. MDaaS Sustain helps govern your master data to prevent duplicates and maintain your master data quality standards.
- Search, view, and request changes to your master data.
- View live reports on the quality and the status of your master data.
- Search all your assets and materials based on class, sub-class, attribute, synonym, and value.
Data Migration
If you are changing ERP systems, merging ERP systems, transferring transactional data, or want to revamp your master data, MDaaS Migrate can help.
- Receive access to automatic naming convention of files, files tracking and versioning, access to all file versions, and changes to files tracked from one version to another.
- Users can map, transform, or freeze business rules. Validate and sign off directly in Workbench.
- Integrate files with any ETL (Extract, Transform, and Load) tool on the market.
- Role-based control for master data governance, with access and visibility for records.
Master Data Management Software Benefits
Improve monitoring of stocked spare parts
Reduce production outages caused by a lack of critical spare parts and additional downtime due to stockout reduction.
Save time and money on cleansing projects
Standardize and cleanse master data without a series of costly consultants or an expensive and lengthy cleansing project.
Lower costs on carrying excessive inventory
Reduce inventory carrying cost by eliminating the number of free text entries entered using a standardized taxonomy, cutting down on the number of materials ordered under multiple product names.
Eliminate data or communication silos through an integrated master data software solution
Integrate your master data database seamlessly with work maintenance systems, making data easily accessible and organized through intuitive approval workflows with set business rules.
Purchase materials at better rates
Leverage corporate-negotiated rates for ordered materials that use the same naming conventions in your taxonomy as the manufacturer's database.
Reduce errors when recording or transferring data
Eliminate the need to manage or maintain any part of the data management process, reducing potential errors. All data is integrated with your ERP, CMMS, IIoT, or EAM.
Full team of data scientists at Prometheus Group
Reduce the burden on your internal resources, as our internal team of functional consultants and data scientists takes on the bulk of the cleansing and enrichment effort.
Leverage camera on mobile device to capture data
Workers can take pictures of equipment, capture data and serial numbers (UDCPI) from images, and complete independent walkdowns on-site.
Items in a Master Data Management Standardized Taxonomy
Long and short descriptions
Translation of naming conventions
Classes and characteristics
Noun/modifier dictionary
Object part, damage, cause, and activity codes
Catalog profiles
Equipment master
Task lists
Abbreviations
Bill of materials
Assets List
Material records
Functional locations
Equipment location
Work centers
Maintenance plans
Prometheus MDaaS Resources
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Why Master Data Management is the Key to a Successful SAP S/4HANA Transformation
READ POSTPrometheus Master Data Management FAQs:
ETL focuses on extracting, transforming, and loading data, while MDM focuses on managing and maintaining consistent and accurate master data.
ETL stands for Extract, Transform, Load, and refers to the process of extracting data from various sources, transforming it into a format that is suitable for analysis, and loading it into a data warehouse or database. ETL is primarily focused on the movement and transformation of data to ensure quality and consistency.
MDM, on the other hand, stands for Master Data Management and is a process that focuses on managing and governing the organization's master data, which is the key data that is essential to the business. MDM involves creating and maintaining a single, coherent view of an organization's master data, such as customer, product, or employee information, across different systems and processes. MDM helps ensure data consistency, accuracy, and reliability across the organization.
In summary, while ETL is concerned with the movement and transformation of data, MDM is focused on managing and governing the organization's critical master data to ensure consistency and accuracy. Both ETL and MDM are essential components of a successful data management strategy.
To learn more about Prometheus Group's Master Data Management solutions, interested individuals and organizations can visit our blog and resource center to access relevant MDaaS blog posts, case studies, whitepapers, webinars, events, and other resources that showcase real-world examples of how organizations have successfully implemented and benefitted from Prometheus Group's MDM solutions.
You can also reach out to Prometheus Group directly for a personalized demo on how our MDM solutions can address specific business needs and challenges.
Explore Prometheus Master Data Management
Do you want to decrease costs through improved master data accuracy and streamline your master data management?