f Digizoom, Enteprise Digitisation Solutions, Orace ERP Implementations, Oracke E-Business Suite Implementation, Oracle European Localizations, MDM Integrations, Bankimg / SEPA integrations, ERP Consultancy

Data Quality

Do it once, do it right! We deliver our promises.

Data Quality Management for Master Data Management in Oracle EBS and Oracle Fusion

Digizoom provides comprehensive services on data quality management for master data management in ERP systems like Oracle EBS and Oracle Fusion. We explore various aspects of data quality management, including verified address and DNB data, structured 3rd party data, eliminating duplicate and obsolete data, dormant data management, price list management, relationships between master data, compliance in data maintenance, sensitive data processing, privacy, data access model, and generating re-runnable data control rules.

Data Quality Management for Master Data Management

  1. Verified Address and DNB Data

    Ensure accurate and up-to-date address information by leveraging verified address and DNB (Dun & Bradstreet) data. Validate and standardize address data to improve efficiency and eliminate errors in shipping, billing, and customer communications.

  2. Structured 3rd Party Data

    Manage structured 3rd party data, such as suppliers, customers, and banks, within your master data management system. Integrate reliable and consistent data from trusted external sources to enhance the accuracy and completeness of your master data.

  3. Eliminating Duplicate Data

    Implement robust mechanisms to identify and eliminate duplicate data within your ERP system. Deduplication processes ensure a single source of truth, reduce data redundancy, and improve overall data quality.

  4. Obsolete Data Management

    Regularly review and identify obsolete data elements within your master data management system. Develop a data governance strategy to retire or archive outdated data, ensuring data integrity and optimizing system performance.

  5. Dormant Data Management

    Effectively manage dormant data by establishing appropriate data retention policies. Define criteria to identify dormant data and determine the actions required, such as archiving, purging, or reactivating data based on business needs.

Price List Management

  1. Creating a Robust Price List

    Develop a comprehensive and structured price list that caters to the specific requirements of your organization. Incorporate pricing tiers, discounts, promotions, and other pricing elements into the price list to accurately reflect your business offerings.

  2. Modifier and Qualifier Structure

    Utilize modifier and qualifier structures to enhance the flexibility and configurability of your price list. Define rules and conditions to apply modifiers and qualifiers based on customer-specific attributes, product categories, or other relevant factors.

  3. Easy Maintenance Features

    Implement user-friendly interfaces and tools to simplify the maintenance and management of price lists. Enable quick updates, additions, and modifications to ensure your pricing remains current and competitive.

Master Data Relationships and Compliance

  1. Establishing Relationships between Master Data

    Identify and define relationships between various master data entities, such as products, customers, suppliers, and accounts. Leverage these relationships to gain insights, optimize processes, and improve decision-making within your ERP system.

  2. Data Maintenance and Compliance

    Enforce data maintenance policies and procedures to ensure ongoing data quality and compliance with regulatory requirements. Implement data validation checks, data change tracking, and audit trails to maintain data integrity and demonstrate compliance.

  3. Sensitive Data Processing and Privacy

    Adopt stringent measures to protect sensitive data, such as personally identifiable information (PII) and financial data. Implement data encryption, access controls, and anonymization techniques to safeguard sensitive information and comply with privacy regulations.

  4. Data Access Model

    Define a robust data access model that ensures appropriate access rights and permissions for different user roles. Implement role-based access controls (RBAC) and data segregation mechanisms to prevent unauthorized access and maintain data confidentiality.

Re-runnable Data Control Rules

  1. Generating Re-runnable Data Control Rules

    Develop data control rules that can be executed repeatedly to identify and correct data quality issues automatically. Design rules to address common data quality problems, such as data completeness, accuracy, consistency, and conformity.

  2. Continuous Data Quality Monitoring

    Implement automated data quality monitoring processes to proactively identify and resolve data issues. Establish alerts, notifications, and reports to notify stakeholders of any data quality deviations or anomalies.

DQM Solutions by Digizoom

Conclusion

Efficient data quality management is essential for successful master data management in ERP systems like Oracle EBS and Oracle Fusion. By leveraging verified address and DNB data, structured 3rd party data, eliminating duplicate and obsolete data, and employing effective price list management techniques, organizations can enhance data accuracy, optimize processes, and drive better business outcomes. Additionally, establishing relationships between master data, ensuring compliance and data privacy, and generating re-runnable data control rules contribute to maintaining data integrity and supporting informed decision-making. Implement these practices to unlock the full potential of your ERP system and gain a competitive edge in today's data-driven world.

MDM Digizoom

High Quality Data

Efficient data quality management is essential for successful master data management in ERP systems like Oracle EBS and Oracle Fusion. By leveraging verified address and DNB data, structured 3rd party data, eliminating duplicate and obsolete data, and employing effective price list management techniques, organizations can enhance data accuracy, optimize processes, and drive better business outcomes. Additionally, establishing relationships between master data, ensuring compliance and data privacy, and generating re-runnable data control rules contribute to maintaining data integrity and supporting informed decision-making.

At Digizoom, we understand the importance of master data and data quality in ERP systems. We have a team of skilled master data and data quality experts who can assist you in managing and improving your master data and data quality. Whether you need guidance in implementing data quality controls, optimizing your master data management processes, or resolving data quality issues, our experts are here to help. Trust us to deliver tailored solutions that align with your business goals and ensure the integrity and reliability of your data.

Application Form

Want to know how we can help you deliver? Fill in the form below, and a ERP Implementation Expert will analyze your case and contact you.