Sample Assessment & Governance Results
This presentation highlights findings and pain points related to data quality, master data management, and SAP systems, along with proposed solutions and benefits for businesses. It emphasizes the importance of accurate data, risk reduction, efficiency improvement, and customer satisfaction in the context of digital transformation programs.
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Sample Assessment & Governance Results Confidentiality Note: The information contained in this presentation is for the exclusive use of the intended audience (as presented to or as send the presentation via email), and may contain confidential, privileged and non-disclosable information. Any other recipient are strictly prohibited from reading, photocopying, distributing or otherwise using this presentation or its contents in any way.
Summary of Findings Summarisation of Issues identified during Interviews 1. Duplicated and low-quality Master Data 2. Lack of data rules implemented and no method of validating the data against those rules 3. Duplicate records across multiple systems and low-quality master data 4. Lack of, or unclear Master Data Field ownership and accountability 5. Need for training, education and role definition 6. Insufficient Data Quality reporting 7. Lack of process and role definition and understanding need to streamline processes Summary of the Pain Points identified from the Survey 1. Consistent re-work or manual adjustments SAP 2. Lack of procedures or inconsistent application thereof 3. The system is tedious and not very user friendly 4. Lack of relevant reporting 5. Lack of education of what SAP is capable of in my Job Role
1. Master Data Management Quick Win Business Benefits Objectives Accurate data for better decisions Control Point-of-Entry Reduce overall organisational risk Apply rules to data field values Digital transformation programs are launched on the back of accurate data Validations and Derivations where possible Workflow implementation Increased efficiencies Reduce labour costs Increase profit Improve service Improve customer satisfaction Pre-requisites / Dependencies Recommended SAP Applications Time Software licenses for MDG SAP SDM Minimal time from business experts rules workshops and UAT SAP MDG Effort Transports
2. Master Data Clean Up Business Benefits Objectives Accurate data for better decisions Put mandatory fields in place to ensure completeness of data Reduce overall organisational risk Build de-duplication solutions Digital transformation programs are launched on the back of accurate data Implement a clean-up process with status tracking Increased efficiencies Standards to keep data clean Reduce labour costs Implement Sprint Solutions with proactive dashboard alerts to manage the cleansing process Increase profit Implement Agile Methodology in data cleansing Improve service SAP DS - Integration to third party applications Improve customer satisfaction Pre-requisites / Dependencies Recommended SAP Applications Time Business input - rules workshops and UAT SAP SDM Business users clean up of data SAP IS SAP DS Effort SAP MDG*
3. Formalisation of Data Governance Framework Business Benefits Objectives Accurate data for better decisions Data organogram - Data Owners with KPI with correct authority Reduce overall organisational risk Setup Data Council Digital transformation programs are launched on the back of accurate data RACI (Responsible, Accountable, Consulted, Informed) Increased efficiencies Role definitions Reduce labour costs Domains are a good starting point - allows ownership & clarity Increase profit Improve service Improve customer satisfaction Pre-requisites / Dependencies Recommended SAP Applications Time Minimal time from business experts rules workshops and UAT NA Effort
4. Training & Documentation Business Benefits Objectives Accurate data for better decisions Document and train roles and responsibilities Reduce overall organisational risk Document and train processes and Data org structure Digital transformation programs are launched on the back of accurate data Internal communications between departments to allow better customer service and supplier information Increased efficiencies Staff need to know what SAP is capable of Reduce labour costs Increase profit Improve service Improve customer satisfaction Pre-requisites / Dependencies Recommended SAP Applications Time Minimal time from business experts rules workshops and UAT NA Effort
5. Reporting & Enhancements Business Benefits Objectives Accurate data for better decisions Analysis of reports and ABAP code that related to master data maintenance Reduce overall organisational risk Assess what can be done in Dashboards and run project activities to deliver reports Digital transformation programs are launched on the back of accurate data Build custom reports where required Increased efficiencies Allow greater detail and analysis of the data Reduce labour costs Increase profit Improve service Improve customer satisfaction Pre-requisites / Dependencies Recommended SAP Applications Time Business input SAP ERP Effort
6. Archiving Business Benefits Objectives Reduce Data costs Prepare for Flag for Deletion of records, post defining what determines an obsolescent record Improve processes Activate the Archive Objects and build an Archive project Archive Data that will not be relevant for SAP environment but will be needed in Data Lacks for analysis and reporting Pre-requisites / Dependencies Recommended SAP Applications Time Business input SAP ERP Effort
8 GlueData - Solutions Overview 2025/02/23
