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CAMELOT Consulting Group
CAMELOT Management Consultants are specialists for value chain transformation and industry experts in the process, consumer goods and industrial manufacturing sectors. As a global leader in Value Chain Management, we transform value chains into a sustainable competitive advantage. Read in this blog about current trends, innovative concepts and the latest findings in Value Chain Management.
Many organizations want to profit from the available data but classifying complex data with metadata alone may no longer be sufficient. …
read moreWell-founded strategic and operational decisions are based on valid master data. In each and every organization, Business Partner master data is …
read moreIf you get the information today about demand changes for the current or next month, you will want it to be …
read moreUnderstanding the usage and the impact of certain data attributes on business processes is a challenge for many companies. This challenge …
read moreIn this article you will find five new capabilities that help you tackle challenges in transport logistics.
read moreAn important task is the good management of metadata. The main components that should make up the metadata management options allow …
read moreThis article gives you an overview on what needs to be considered when designing a data governance organization to serve within …
read moreAligning demand and supply via Sales & Operations Planning (S&OP) is nowadays a standard across industries. Supply chain planning can become …
read moreThe automation of data management processes as well as system architecture requirements are some of the great challenges related to big …
read moreDigital, lean and flexible – a blueprint for support functions enabling competitiveness and profitability The economic repercussions of the Corona crisis are …
read moreThe COVID-19 pandemic presents a major challenge to the often inefficient value chains of the biotech industry. In a short series …
read moreMost of the companies establish MDM to aim for two key goals. One is to reach and sustain high data quality, …
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