/plushcap/analysis/algolia/algolia-product-internal-search-unleashing-media-content-at-scale-with-headless

Discover hard to access media archives with a Search microservice | Algolia | Algolia

What's this blog post about?

Media companies, such as The Washington Post, The Wall Street Journal, and The New York Times, produce a vast amount of content daily. They often rely on home-built content management systems (CMS) to manage their extensive archives. However, these CMS platforms typically have poor search functionality, making it difficult for employees to find relevant content within the organization's library. This issue is exacerbated by inconsistent metadata structures from various sources and underpowered search technology. The consequences of inadequate internal search include lost time, decreased productivity, and missed opportunities for content enrichment and reuse. To address this problem, media companies are turning to search microservices like Algolia, which can be integrated with existing CMS platforms to improve search functionality without disrupting editorial workflows. This approach allows employees to access valuable content more efficiently, leading to better decision-making and improved overall performance for the organization.

Company
Algolia

Date published
Feb. 3, 2022

Author(s)
Pauline Lafontaine

Word count
1227

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.