# Publisher managing dedicated publishing infrastructure

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<summary>Workflow Management</summary>

Efficient work organisation is the foundation of a successful team. In this section, we will demonstrate how automation, effective tools, and project management methods (Scrum, Kanban, Waterfall) can streamline every stage of the publishing process. These are practical tips designed to help you organise your workflow, reduce information overload, and focus on what truly matters.

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<summary>Data Management</summary>

Do you want to work faster and more confidently, without constantly searching for data or correcting mistakes? With well-organised, structured information, you’ll save time, achieve better order, and gain easier access to key content. In this section, you’ll discover tools and formats that will help you manage editorial data more effectively, from simple spreadsheets to exchange files and databases.

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<summary>Data Processing</summary>

Data processing is a key step in organizing information – it involves organizing files, cleaning up data, creating consistent metadata and preparing materials for further use. In this section, we present best practices, helpful tools, and show the potential of Python to automate repetitive tasks.

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<summary>Publishing Software</summary>

Modern publishing software supports every stage of the publishing process – from accepting submissions, to reviewing, to publishing and archiving content. In this section we look at good practice when working with such software. In addition, we will consider moments when, however, publication software is not enough and the need to use additional solutions arises.

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