Archive for "Doug Plant"

10 posts from this author

Why you don’t need marketing automation

Why you don’t need marketing automation

By Doug Plant  | June 08, 2017  |  Business solutions, Web solutions

It’s the darling of today’s marketing mix: the marketing automation solution. Its very name can bring marketers palpable relief: imagine automating one of the most difficult and time consuming parts of your job -- lead nurturing -- so that lead conversion starts happening with minimal intervention. It’s every marketer’s dream!

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Attribute management in eZ Publish with eep, and robust dev practices

Attribute management in eZ Publish with eep, and robust dev practices

I recently had a lucky moment and was saved by a happy combination of things, including Assemblaeep, and a couple bits of dev-ops.

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ONIX websites: your bibliographic data and the Mugo ONIX Bridge

ONIX websites: your bibliographic data and the Mugo ONIX Bridge

In the world of books, book publishing and bookselling, the metadata exchange format “ONIX” is the preeminent method of communicating information about a book. In spite of the fact that ONIX is a rather flawed standard and protocol for exchanging bibliographic information, it is the standard which everyone has settled on. Mugo has been working with ONIX since 2003, first building a freely available ONIX management system as a proof of concept for the Centre for Canadian Studies in Publishing at Simon Fraser University and most recently building a turn-key system for an ONIX website - that is - an ONIX powered website.

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eep case study: Author name resolution in The 49th Shelf

By Doug Plant  | July 31, 2012  |  Case study, eZ Publish development tips

The problem:

One of our favourite projects, The 49th Shelf, aggregates a lot of data from a diversity of sources. Naturally, there is a range of quality; but even more than that: different sources often refer to the same physical object in different ways. Specifically, a person who writes several books can be referred to in a variety of ways:

  • John Reynolds
  • John L. Reynolds
  • John Lawrence Reynolds

There are are some heuristics to resolve most of these cases, but there are always seem to be some that defy the code and require a manual fix.

This process has to be performed on the production site, so we want to minimize the amount of time that the data is inconsistent and we don't want to run untested code.

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