Our last post explained how to quantify the value of improving your Material Master data by reducing stock-outs related downtime. Today’s post will help you estimate improved materials-related personnel productivity. Improved materials-related personnel productivity: Total number of man hours = Total number of engineers * 1600 Total number
In our previous post, we provided a calculator to help you estimate the value of improving your Material Master data by avoiding inventory cost. Today’s post features an ROI Calculator to help you plug in your numbers and estimate inventory holding cost reduction. Inventory holding cost reduction:
Our last post talked about the Operations issues that arise from poor Material Master data quality. Let’s take a look at purchasing and spend analysis impacts of poor data. Sourcing Sourcing projects and the make-versus-buy decision process in general require a view of what exists already in the approved
The success and measurable impact of many business initiatives depends on consistent, high quality material master data. Two significant business events that underscore the importance of high quality material master data are Merger / Acquisition and ERP / EAM Consolidations. Merger and Acquisition Activities The synergies driving M&A activities
Master Data Governance for Materials is unique. The workflow is more multi-domain than any other master data object, the timelines for completion are tight, and the need for accuracy is dire. We’ve included two charts below from an earlier survey which outline the make-up of Material Master Data Governance
Data Governance is a process-based structure that leverages an Approval Workflow system. The effectiveness and efficiency of the Data Governance Model depends on some critical factors. So, what supporting factors come into play in practical Data Governance deployments? We underscore ‘practical’ since our perspective on Data Governance is that it
Data Governance represents the symbiotic existence of IT and business–aligned to improve the overall business process. It unifies the compartmentalized information across various departments in an organization to boost data sharing by all concerned. The information sharing results in advantages such as: • Revenue growth • Cost rationalization •
Utilities face many challenges with their business and operations. In a highly asset intensive industry with a geographically disparate asset base, implementing operational and maintenance standards and practices is necessary to continually improve the balance between asset reliability and costs. They require uninterrupted supply of adequate and cost-effective materials
Data cleansing is one of the most important practices that can go a long way for any enterprise. It ideally refers to removing any wrong or incorrect entries in the data to ensure coherence of the existing data at any given time. It basically helps in ensuring that the data
Data quality is no longer something that any organization can avoid or put on the back burner. With all data being considered as assets, it is critical to ensure data credibility at every stage of processing. Today we tell you about the errors that can creep in your data and
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