Tag provides a toolkit to capture and automate knowledge. More specifically, you can describe knowledge using content generation and pipeline instructions.
Content generation has been around longer and is, perhaps, better understood. Most people can imagine a form letter with name and address merged in. However, not everyone has experience with: shared templates used by multiple people and document types; powerful expressions that can do math or use functions; or, auto-upgrading data documents that expect and easily handle future change.
Documents (including email and websites) remain the most important communication tool we have. Automation can help your organization ingest, process and create content in a way that speeds up what you're already doing, or provide an entirely new way of doing things.
By contrast, pipelines are a more recent innovation (in an open standards compatible way). What makes pipelines so important is the shear scope of what they can do.
Pipelines function as glue between many cooperating technologies. As a result, they should be central to any automation plans.
No-code tools represent a revolution, where non-technical users can now automate largely on their own.
This is notable because the pool of people available to imagine how automation can help is many times larger. Logically thinking, we should expect an increase in the overall pace of innovation as a result. Combine this with the quickly growing scope of web APIs and machine learning services, and you get a recipe for rapid improvement.
Automation can provide many potential benefits, both at the individual and team/organizational level.
As more parts of your business process gets automated, it becomes easier to standardize items and combine them in more flexible ways. This opens the door to working with more partners and other key stakeholders.
This is especially important in an age where many organizations are analyzing supply chains. Improving your understanding of industry terms (such as those defined by schema.org), can open the door to collaboration in entirely new ways. There is a broad and deep vocabulary forming to describe how all of us work together, and no-code software like Tag gives you the tools you need to take full advantage of this collective knowledge.