With a decade of experience fixing dirty purchasing data
Emma is a specialist in data classification, taxonomy customisation and data cleansing.
Emma uses developed methodology to accurately and efficiently classify, cleanse and check data for errors which will help prevent costly mistakes.
Emma helps to bring clarity and accuracy to data and procurement functions; helps teams work more effectively and efficiently; and cuts through the jargon to address the issues of dirty data and its consequences in a professional and coherent manner.
Motto: setting the high data hygiene bar at the beginning of the process ensures future data collection and reconciliation remains consistent, fluid standardised and most importantly clean throughout
Highly self motivated hands on individual who is driven by the sense of accomplishment with a versitile, diverse & blended skillset
With a positive and proactive attitude, natural ability to drive innovation, collaboration, and resilience amongst teams. Exhibits a growth mindset, adaptability, and a willingness to learn can subsequently thrive in challenging situations and bring fresh perspectives to problem-solving
Exceptionally strong analytical and conceptual thinking skills with a burning desire to share ideas and process improvement plans with wider stakeholders
A professional individual with an elevated level of attention to detail & diligent accuracy coupled with a problem-solving mindset
Ability to analyze and synthesize business requirements, including recognizing patterns and conceptualizing large data & processes
Deep embedded understanding of ERP & P2P Systems, Technology & Implementations including road mapping
Fluid individual who can apply the same strong skillset regardless of industry
Over a decade of experience cleansing, exploring & interpreting data, driving change to existing processes, business transformation management and P2P & ERP implementations