Gartner Hype Cycle for Supply Chain Execution Technologies 2020
Get an objective review of logistics technologies and learn which ones are a must-have for your Logistics Target Vision.
Leverage the full potential of your data capacities with our Camelot enhancements for standard SAP software solutions for Data & Analytics
Camelot is the global #1 in Enterprise Data Management with a long track record of successful MDM and MDG projects. Our differentiators are next-generation services and solutions for master data processes and data-driven intelligence.
A key component of data management and an indispensable necessity for process automation is a high level of master data quality. Partnering with experts to gain insights into data quality management, is therefore a must to get ahead of the competition and achieve quick results.
Relevant strategic and operative decisions are increasingly made based on big data analytics. As it is no longer a challenge to collect and process a wealth of data, the main challenge is to identify any issues in data quality.
The Camelot MDG Accelerators support enterprises in setting up a faster SAP Master Data Governance implementation as well as a more convenient application maintenance.
Have you already implemented a Master Data Management System and are looking for improvements? There is always a way to do things better and more efficiently. Read more about the opportunities Camelot can offer to you for SAP MDG.
Enhancing SAP MDG for Integrated Reference Data Management: The Camelot solution facilitates reference data generation and maintenance within SAP MDG.
The Camelot Planning Wizard MERLIN includes preconfigured SAP Business Planning and Consolidation (SAP BPC) scenarios for cost, sales and revenue planning.
Utilize the full transparency provided through process mining to get data driven insights in your finance, procurement, order to cash, production, logistics, supply chain or IT processes.
Machine Leaning (ML) enables systems to learn from past data and adapt to new data. Machine Learning is used in many different use cases, mostly with respect to automation tasks and intelligent decision support.
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