GitHub is a widely used version control platform that helps developers manage and collaborate on code repositories. Enterprise companies benefit from GitHub's robust features, such as access control, code review tools, and integration with various project management and CI/CD platforms. By leveraging GitHub, enterprises can streamline their software development processes, improve code quality, and foster collaboration among team members.
Excel Power Query is a powerful data transformation and analysis tool that allows users to connect, combine, and refine data from various sources. Enterprise companies benefit from Excel Power Query's user-friendly interface, making it easy for non-technical users to access, clean, and analyze data. It also offers advanced features like data shaping, merging, and filtering, enabling businesses to gain valuable insights from their data and make informed decisions.
Linking GitHub with Excel Power Query enhances your data management by automating tasks that would otherwise require manual effort. Follow these steps to establish a seamless connection:
By combining these tools, you gain up-to-the-minute analytics, minimize repetitive manual interventions, and achieve consolidated visibility across your data sources.
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Improvado takes the hassle out of linking GitHub with Excel Power Query by offering a fully no-code platform that absorbs all the technical intricacies. Here’s what you’ll get:
With Improvado, there’s no custom coding required, integration timelines shrink from weeks to mere days, and you can count on a steady, accurate data pipeline.
Combining GitHub with Excel Power Query unlocks significant business value and competitive edge. Notable improvements include:
Organizations experience a return on investment within two to three months, driven by a 90% drop in IT support requests and a two to three times boost in analytical efficiency.
Trusted by the leading data-driven companies, Improvado is an advanced marketing analytics providing businesses with fully automated no-code data pipelines: from data to insights.