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  • Capture invoices in SAP - because SAP can do more together with easy.

    Capturing invoices in SAP – how it simply works better

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  • How to Optimize Your Company-Wide SAP Master Data Management

    How do you optimise, streamline and accelerate your SAP Master Data Management (MDM) and why is it so important? Discover how correct master data forms the basis for digital processes, S/4HANA and IoT. Learn how to calculate ROI, implement data governance, avoid errors and realise SAP’s potential.

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  • Progressive Web Apps (PWAs): architecture, examples, advantages and disadvantages

    The world today is a world full of smartphone users: For many everyday tasks we use the mobile phone today, be it for banking transactions or scheduling appointments.

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  • 7 Things You Should Know About Materials Management in the Digital Era

    For many companies, the journey towards a smart factory has mainly focussed on digital networking with external suppliers, business partners and customers. Faster communication and more precise order management are amongst the many benefits they have been enjoying.

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  • 4 Tips for Successful Digitization in Companies

    It feels like digitization moves ahead a little bit faster every day and sometimes behaves differently than companies would like. We have analyzed digitization projects and were able to identify four basic factors which can cause the digital transformation to stall in companies.

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  • Retention Period for Personnel Files vs. Deletion Period: What Applies?

    Personnel files are extremely sensitive, because they contain employees’ personal data. The retention periods for these data are legally clearly defined. But which period applies to which part of the file? And how can HR employees maintain an overview? Here we give you a summary of the most important legal storage obligations.

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  • Data analytics: how companies are transforming their business

    Data Analytics as a method of analysis can help companies to transform their business, their processes and the company as a whole. How the collection of data, its analysis and the insights gained from it are related was already the subject of a previous article. Some data analytics examples are intended to demonstrate the benefits…

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