DATA QUALITY SYMPOSIUM 23 APRIL 2009 AND 24 APRIL Master Data Acquisitioning Principles and Challenges. Johan Zwarts

Transcription

1 DATA QUALITY SYMPOSIUM 23 APRIL 2009 AND 24 APRIL 2009 Master Data Acquisitioning Principles and Challenges Johan Zwarts

2 Organizations implement VERY large and VERY expensive ERP systems without proper consideration of the fuel that drives the system MASTER DATA

3 Master Data Overview Plant & Equipment Baseline and Sourced from: Eng Design Specs, OEM Prescriptions, Design Drawings Plant & Eqp Configuration Plant & Equipment Criticality Task Resource Requirements Material Item Master Supply Chain Document Driven By Operational Requirements Plant & Equipment Operations Operations planning and execution Breakdown Long Term Short Term Plans (WIP) Purchasing Warehousing Reporting &Analysis WIP Execution Phase Out

4 Master Data Overview Plant & Equipment Baseline and Sourced from: Eng Design Specs, OEM Prescriptions, Design Drawings Plant & Eqp Configuration Plant & Equipment Criticality Task Resource Requirements Material Item Master Supply Chain Document Driven By Operational Requirements Plant & Equipment Operations Operations planning and execution Breakdown Long Term Short Term Plans (WIP) Purchasing Warehousing Reporting &Analysis WIP Execution Phase Out

5 Master Data Overview The What is Master Data? Master Data is the static (non-transactional) data required by any Operational System, in order for it to create transactions like PO s, Stores Requisitions, Preventive Job cards, etc. Vendor Master Asset Register Item Catalogue etc What is Master Data Acquisition? Master Data Acquisition (MDA) is a process, comprising sub-processes that include data source identification, data collection, data transformation, normalization, business rule administration, error detection and correction, data consolidation, data storage, data distribution, and data governance. What then is Master Data? Master Data (MDM) is the ongoing management of the data acquired during MDA and the interaction thereof with the company s Operational ERP s, providing the necessary governance rules and regulations that will guarantee the continued integrity and quality of the Master Data

6 Problem Statement Engineering Supply Chain Execution Inaccurate & Incomplete Data: Consolidated Master Data Verification and Clean-up Required Reliability Warehousing

7 Problem Statement Engineering BOM Utilisation Drawing Spares Sourcing Strategy Supply Chain Outline Agreements Quality, Price & Contract BOM Linking Equip Linking Lead Times & Sup Performance Reorder Levels Task Lists Updating SAP Maint Strategy Correct BOM s MOR Master Data Complex Integration, Information exchange & Data Capturing Master Data Min - Max Levels Stock Non Stock Vendor Held Preservation Spec Critical Equip Critical Classification Reliability (Engineering) Materials Technical Compliance Description Compliance APT Analyses High/ Med/ Low Classification Stock Accuracy Preservation Compliance

8 Quoted Problem Statement Plant availability suffered because there is not a holistic view and control mechanism in place over the Master Data elements of the Business Silos concerned

9 Solution to the Problem Engineering Supply Chain Execution PiLog s MDAT Application: Consolidated Master Data Reliability Warehousing MDAT provides a consolidated view and control mechanism over all Master Data elements across the various Business Units

10 Solution to the Problem Plant & Equipment Baseline and Sourced from: Eng Design Specs, OEM Prescriptions, Design Drawings Plant & Eqp Configuration Plant & Equipment Criticality Task Resource Requirements Material Item Master Supply Chain Document Driven By Operational Requirements Plant & Equipment Operations Operations planning and execution Breakdown Long Term Short Term Plans (WIP) Purchasing Warehousing Reporting &Analysis WIP Execution Phase Out