Catalog Management

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Explore Programs Through Catalog Management Systems

ListEdTech is a market research firm that only tracks systems used in education. Our user-friendly portal offers data on more than 25 product categories, including Catalog Management Systems. For this product category, we track over 1,500 implementations, mainly in North America at the higher education level.

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What Are Catalog Management Systems?

A Catalog Management System allows for creating, editing, and publishing course descriptions, schedules, policies, and procedures. It provides students and faculty with information about courses, prerequisites, and degree requirements. It can also help faculty and administrators collaborate on course development and program approvals while ensuring compliance with accreditation standards, thus improving the overall efficiency and accuracy of the institution’s academic catalog.

In this Product Category, We Have Data on the Following Companies and Products

CompanyProductDegree Type
Clean CatalogClean Course Catalog SoftwareHigherEd & School Districts
CoursedogCoursedog catalog-managementHigherEd
InstructureCanvas CatalogHigherEd & School Districts
KualiKuali Academic CatalogHigherEd
Leepfrog TechnologiesCourseLeaf CatalogHigherEd
Modern CampusAcalogHigherEd
Modern CampusOU CampusHigherEd
WatermarkWatermark Curriculum Strategy (Smart Catalog)HigherEd

Why Use the ListEdTech Portal?

335,000
product implementations tracked among 25+ product categories
1,395
institutions, in our database, using a Catalog Management system
15
Catalog Management products in our database

How Does ListEdTech Gather its Data?

We scan publicly available data (news releases, social media, university and company websites) to gather our information. Our dataset includes (but is not limited to): 

  • Educational companies, products, and institutional characteristics, 
  • Primary and secondary systems supported by an institution, 
  • Implementation dates and decommission dates, 
  • Contracts, RFP and acquisition data.

Our team controls for bias and regularly updates, reviews, and validates the data at the source to help organize, sort, and classify more than 3 million data points. Though we cannot guarantee an accurate market representation, the methods we use prevent the overrepresentation of any solution.  

As part of our data quality control, we review our database monthly. During these processes, we constantly reach a 95% accuracy rate.