In the mining industry, where efficiency and cost reduction are vital, mastering data quality becomes a strategic imperative. SimpleData Management (SDM) is a tool for mining enterprises seeking to optimise their operations through master data quality and governance and maintain compliance in a highly regulated environment. 

By embedding SDM’s Point of Entry control into material master data creation and maintenance processes, mining businesses can ensure data accuracy, improve efficiency, and drive sustainable growth.

Empowering Data Control at the Point of Entry

At the heart of SDM lies the ability to control data integrity at the point of entry. Each mining business possesses unique intellectual property, critical for competitiveness and operational optimisation. SDM excels in embedding this IP into SAP master data screens, facilitating control over the most business-critical fields. 

With SDM’s Point of Entry control, businesses can derive values, bold, grey, or hide fields to enforce control, ensuring that data stewards create and modify information that aligns with established business processes. Robust business validations, applied at the point of saving, further guarantee data accuracy and compliance.

Focus Areas in Data Management for Mining

To enhance operational efficiency and mitigate risks, mining enterprises must prioritise specific fields in data management. 

Plant Data / Storage Location: Inaccurate storage location data can lead to misplaced materials and inefficiencies in warehouse management, affecting production schedules.

Work Scheduling / MRP Type: Incorrect MRP type settings can disrupt material availability, impacting production schedules and causing downtime.

Classification / Class and Characteristics: Inaccurate classification data may compromise production processes, product quality, and compliance with industry standards.

Addressing Pain Points in Mining Business Processes

The mining industry faces several challenges related to data management. These include suboptimal mining and processing operations, unplanned equipment breakdowns and regulatory non-compliance. 

1. Incorrect data on material properties and equipment specifications can lead to lower production yields and increased operational costs.
2. Inaccurate equipment data and maintenance records can disrupt production schedules and increase maintenance costs.
3. Unreliable data related to environmental impact assessments, safety standards, and compliance reporting can result in fines and legal issues.
4. Cataloguing spare parts presents a significant challenge in the mining industry due to its direct impact on procurement and inventory management, specifically poor turnover rates and elevated costs. Implementing a taxonomy for catalogued procurement is effective in mitigating concerns arising from free-text purchasing, thereby successfully minimising these issues.

Innovative Solutions for Mining Data Governance

SDM offers innovative solutions to address governance needs in mining data management. We explore a few below:

1) Business Rule Validations

1. Critical Objects for the Mining Industry: By integrating SDM into your infrastructure, you gain the capability to oversee and regulate the quality of your Material Master data at the point of entry via business rule validations. These validations and derivations, such as default values, assist data stewards in ensuring accurate values are captured before saving the record. This safeguard applies to both new data entering the system and any subsequent changes made to existing data.
2. Original Equipment Manufacturer (OEM) Products: Providing accurate manufacturing part numbers or manufacturer data is crucial to avoid duplicates and inefficiencies in procurement processes. These are important fields that can be managed through SDM Business Rule Validations on Point of Entry. Post-processing business rules can flag records that are identified to be a possible duplicate.

2) Application of Industry Standards: SDM applies UNSPSC (The United Nations Standard Products and Services Code) industry standards to new material creation, prioritising consistency and compliance with business requirements. 

3) Automating Cleaning (Sprint Solution): Errors identified in records through the SDM reports can undergo cleansing using SDM’s Sprint Solution, offering data stewards a simplified method to address master data quality issues. SDM presents four resolution approaches for handling exceptions during cleansing, including the capability to suggest the appropriate field value based on business rule logic. 

This significantly streamlines the tasks of data stewards daily. Upon review and approval of proposed values, errors can be efficiently resolved en masse within the integrated SDM platform. Data Managers can prioritise the creation of cleansing Sprints based on the highest-priority rules aligned with business processes.

4) Record Create Feature: SDM’s macro-enabled Excel template, with embedded stewardship and SAP standard governance, streamlines new material creation, guaranteeing accuracy and compliance from the outset. The initiation of records occurs within SAP, while data stewards engaged in creating new materials utilize Excel, a tool understandable to non-SAP technical users. A governed template streamlines the process for data stewards by displaying only the essential fields required for material creation. As each user finishes their section, the template circulates among different data stewards in the workflow through the SAP Standard Workflow.

By leveraging SDM’s innovative features and industry insights, mining businesses can unlock new levels of efficiency and competitiveness in the dynamic mining landscape.