What is master data management?

Master Data Management is a process that involves the management of critical data assets to ensure uniformity, accuracy, stewardship, semantic consistency, and accountability across an organization. MDM aims to create a “single source of truth” for important data, such as customer information, product data, and financial data. This definition shifts away from the outdated notion that MDM is a technology, to reflect the reality that master data management is a business capability.

Master data are the objects in a business that provide context for transactions. For example, for a procurement transaction a supplier (person) may provide a service (thing) under the terms of a contract (concept). For a purchase, a customer (person) may buy a product (thing) from a store (place).

Why is data integrity the foundation of master data management?

Data integrity is crucial to the success of MDM because it ensures that the data being managed is of high quality and trustworthy across all systems and departments. If data is inaccurate, inconsistent, or unreliable, it can lead to errors in decision-making, wasted time and resources, and ultimately damage the reputation of the organization.

How does Master Data Management work?

MDM involves a series of processes, enabled by technology, that work together to create a single source of truth for critical data. The process typically involves identifying key data assets, cleansing and standardizing data, and creating a master record that can be used across the organization.

How can we align business and data management?

The alignment of business and data management is critical for an organisation's success. To achieve this alignment, four pillars need to be in place: data strategy, data culture, data monetisation, and data literacy. Data Strategy: A clear data strategy is essential for aligning business and data management. It should outline how data will be collected, stored, managed, and analysed to support business goals. A well-defined data strategy can help identify data gaps, define data standards, and establish a roadmap for data management initiatives. Data Culture: Data culture refers to an organisation's values, beliefs, and behaviours around data. It is essential to foster a data-driven culture that values data as a strategic asset and encourages data-driven decision-making. A data culture can help to promote collaboration, transparency, and accountability around data management. Data Monetisation: Data monetisation is the process of leveraging data to create business value. It involves identifying opportunities to monetise data assets, such as through new revenue streams or cost savings. Data monetisation requires a clear understanding of data value and the ability to extract insights from data to inform business decisions. Data Literacy: Data literacy refers to the ability of individuals to read, understand, and effectively use data. It is essential to build data literacy across an organisation to ensure that employees have the skills and knowledge to leverage data for business purposes. This includes data analysis, visualisation, and interpretation.

Safyr from Silwood Technology Limited Achieves SAP® Certified Integration with RISE with SAP S/4HANA® Cloud

SAP S/4HANA certification for Safyr ensures delivery of core SAP metadata for critical data governance and analytics programs

Master Data Management partner, Silwood Technology has achieved SAP® certification for its Safyr® software. The SAP Integration and Certification Center (SAP ICC) has certified that the integration software for its product name, and version number integrates with RISE with SAP S/4HANA® Cloud using standard integration technologies. This milestone underscores Silwood Technology's commitment to empowering organizations by facilitating the extraction, exploration, curation, and utilization of both business and technical metadata from SAP S/4HANA applications.

"The integration enables robust support for data governance, data cataloguing, analytics, and data migration endeavours for SAP S/4HANA users," said Gary Allemann, MD at Master Data Management. " Silwood continues to enjoy escalating demand among data engineers and analysts who seek access to and leverage the extensive metadata within intricate ERP applications, not only from SAP but also from other vendors"

Data architects and other professionals in the data landscape utilize Safyr to bolster confidence in data and metadata sourced from SAP S/4HANA applications, elevating the standards in data governance and analytics projects.

Tangible benefits experienced by our Safyr users include substantial reductions in time and cost associated with metadata discovery and analysis within the targeted ERP or CRM applications licenced, while the burdens on platform technical specialists.

Key functionalities of Safyr encompass:

- Extraction of comprehensive business and technical metadata, including customisations, from SAP S/4HANA applications.
- Provision of an extensive repository housing tables, attributes, relationships, and application hierarchies derived from the extracted metadata.
- A comprehensive suite of metadata search, analysis, filtering, and curation capabilities.
- Seamless integrations enabling the export of results to enterprise data governance and catalogue solutions, data modelling tools, and industry-standard formats.

Master Data Management

Align Data, Process, and Governance

For Decision Making and Operational Excellence

Safyr from Silwood Technology Limited Achieves SAP® Certified Integration with RISE with SAP S/4HANA® Cloud

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