Data Management
The best practice process for achieving and sustaining accuracy in data masters and transactions.
Course Overview
Accurate information is at the heart of all excellent companies, not just in physical situations such as stock accuracy but also in the soft situations such as order entry, part descriptions etc.
This course is a practical and interactive course designed to illustrate the criticality of data accuracy and integrity and to show how to manage and control this in the company. Course Content
The course ensures that attendees are equipped to see afresh the criticality of data accuracy and integrity in all parts of the business, and can see and identify the causes of inaccuracy, and design and implement new processes and procedures for managing data.
The course content will include the importance of business data especially in an ERP environment; the principles of data management applied across the whole business; how to measure and target the critical data masters; dealing with dynamic data, and the need for clear accountability, responsibility and ownership.
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The enormous scope of data in a business, the signs of inaccuracy, and the common causes and effects. It will tackle the issue of minimum accuracy requirements of forgiving and unforgiving data.
The principles of managing data including the need for education, accountability and ownership, accuracy measurement, and database maintenance.
The important data masters in a business including master data in ERP, master principles, Bills of Materials (BOMs), routings, item data, customer and order information, work centre data and supplier information.
Dealing with dynamic data including transaction integrity, inventory accuracy for finance and for operations, and where automation can help.
Organising the company for good data including data ownership management and security, the auditing process and its role, and the information change control process.
How to design and implement new data management processes including the Oliver Wight Proven Path method, the use of data management task forces, data clean up and cut over, and the vital senior management role.
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Objectives and Benefits
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Review and critique the current approaches to data management and identify those areas of high risk to the company.
Measure data accuracy and establish the causes and effects of poor information and plan improvement.
Understand the vast scope of data that can now impact company performance and success and identify its formal owner.
Understand the peculiar requirements of ERP based systems and how to measure and manage key data.
Establish processes to manage and control dynamic data.
Conduct data audits and set up and manage necessary clean up programmes.
Design and implement change control processes for key master data.
Design, implement and manage new data management processes through working task forces.
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Who should attend
This course is aimed at all managers and people for whom poor data and information is a problem. It is very relevant to project and task team leaders in an ERP environment, and forms a highly successful programme when taken as part of a workshop to establish new processes to manage and control data integrity.
Pre-Requisite
Nil
Recommended Follow-on Courses
Performance Measurement
This course is only offered privately. For information contact us.
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