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Consulting  

DATAForge™ Consulting revolves around a comprehensive DATAForge™ information flow assessment of all data driven processes and data integration, or touch-points, used across all business critical systems within your organization. Our DATAForge™ assessment process identifies, analyzes and proposes a streamlined, standardized and non-intrusive data management process and service package to enhance your enterprise-wide master data. The DATAForge™ Web–based cataloging and data management utilities use our proven processes to promote and achieve data excellence through work flow efficiency. The DATAForge™ data flow assessment provides the foundation to enhance and drive forward enterprise-wide cost–saving initiatives for business units relying on indirect material. The strategies DATAForge™ implements include the following key elements:


DATAForge™ Consulting is based on a methodology of:

  • Analyzing your company’s current master data collection and utilization processes
  • Identifying needed process and/or project wide improvements
  • Developing an action plan
  • Implementing an agreed solution
  • Assessing and reviewing results.

Each phase produces clearly defined and executable deliverables and requires frequent checkpoint reviews with key stakeholders to move into the next phase.
When your company begins working with DATAForge™ LLC, we become part of your company’s team. We review and assess not only the business process but also the data flow within your company’s legacy and existing systems. The philosophy is one of identifying the key areas where continuous improvements support the company initiatives and where strategies are made. Our method for analysis views the organization as a whole versus the structured departments or individual business units focused on their day–to–day responsibilities. We will propose a plan to enhance and standardize the data work flows and methods your company is currently using in order to provide the entire enterprise with accurate and complete item master data including:

  • One complete, item master record is developed for cross–departmental use.
  • Excess and obsolete material is managed, which supports purchasing an item internally before externally.
  • Uptime is increased by reducing maintenance and equipment by managing operation overhead through spare part equipment and physical location referencing within production facilities.
  • On–site spare part inventory is reduced in a multi-facility or single facility environment with DATAForge™ Web–based spare part planning.
  • Spare part inventories are managed through previously configured purchase levels based on original equipment manufacturer (OEM)/vendor lead time.
  • The exchange of information between OEM and vendor/supplier resources is promoted and facilitated.
  • The necessary master data is tracked to ensure warranty recovery is a quantifiable reality.
  • DATAForge™ managed inventory reduces direct labor, indirect labor, and production downtime costs.

 

 

 

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