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Risk-Aware Supply Chain Decision Making – Towards Resilient Supply Networks
Supply chain leaders need to establish a preventive risk management approach that allows them to shape resilient supply networks. To achieve this, they need to stop chasing events and redirect their focus to supply chain impact, to quantify vulnerabilities and structural preparedness.
Blog
Effective Data Architectures – Challenges and Solutions
In this blog article. we shed light on the challenges of the digital transformation and the need for modern data architectures.
Blog
Data Catalogs in a Data-Driven World: the Why + the What
Data Catalogs enable a modern way of working with data, including features like glossaries or functionalities to collaborate across teams.
Blog
Data Mesh – New Paradigm for Your Organization’s Complex Data Landscape
If we do not change the approach of data management, organization’s agility and immunity to create value from data will decrease. Find out!
Blog
Implementing SAP S/4HANA Cloud with SAP Cloud ALM
We recognized the need for a single system lifecycle management process. We show you how implementing SAP S/4HANA Cloud with SAP Cloud ALM.
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Integration of Master Data Processes into Business Processes: Good Practices
Processes, business rules and a dynamic user interface ensure data is entered the first time right and is ready for process usage. But often the integration into business processes that need master data is lacking. This is what we focus on in this article.
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Finding your Fit-for-Purpose Visualization Tool
The need for data visualization grows with the amount of data you want to analyze. The CAMELOT BI&A Tools Comparison compares visualization tools in various categories and finds the best fit for your specific needs.
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Deep Learning: Adding Layers to the Network
We dive into the topic of deep learning and want to demonstrate how adding layers empowers neural networks to solve more complex tasks.
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Data Mesh: Effective Data Product Creation and Sharing across Domains
The data mesh paradigm works to bring trends in data management together with insights and ideas from domain-driven architectures.
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