Data Governance at Nestlé

Walid El Abed
Business Excellence Manager
Nestlé

Wednesday 11:10am - 12:10pm

Level: All Levels

Nestlé is beginning to provide worldwide visibility of its data quality and data management performance, and to provide tools to enable markets to take corrective measures and to drive continuous improvement. Thanks to the Data Quality Framework (DQF), Nestlé has established common methods, definitions, tools, processes, and roles and responsibilities to measure the ‘as is’ and monitor the evolution of data quality in the corporation, including SAP data. The DQF will be a key enabler for Nestlé to leverage information for decision support and to facilitate our transition from an implementation focus to a sustain and leverage organization. Six data dimensions have been defined within the DQF (uniqueness,completeness, accuracy, non-obsolescence, consistency, and timeliness). The key to these are the supporting Business Rules which have been defined in conjunction with the Functions and Process Teams, and derived from the Data Standards and the Data Management Best Practices. A subset of these KPIs and anomaly reports are calculated and published on the Nestlé’s intranet enabling an increasing degree of governance of our data. Before the creation of the DQF, it was clear that we still suffer from sub optimal data quality, but 'by how much’ and ‘where’ were not visible. A large number of the business rules are identified and captured in the business rules repository for master data objects, a roadmap is defined for their implementation. We still have a long way to go before we achieve our 100% data quality. However, the early trends are at least in the right direction, and to some extent what we have done already is ahead of the industry in general.

Walid is the Business Excellence Manager at Nestlé driving the strategy for Nestlé group in the area of Data Excellence. His main domains are Data quality, Data conversion, Meta data and master data management.(Frameworks and KPIs definition and design) He is ITIL, PMI certified and more than 11 years of service oriented experience in managing projects, teams, and initiatives related to business data excellence. His specialization is in business intelligence, data quality, data modeling, and data architecture type of initiatives. He is a lecturer on “Data modeling”, “computational linguistics” subjects and PhD students’ Director at Université de Franche-Comté, Besançon, France. Active member of the research centre in computer science and language science Lucien Tesnière (CNRS France) responsible for conferences and seminars at national and international levels. Member of the European experts’ database responsible for the expertise of European projects in the domain of information management, Natural language processing and artificial intelligence.