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Streamlines Faculty Management with a Modern Cloud Data Strategy

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 Streamlines Faculty Management with a Modern Cloud Data Strategy - IoT ONE Case Study
Technology Category
  • Analytics & Modeling
  • Functional Applications - Product Lifecycle Management Systems (PLM)
Applicable Industries
  • Education
Applicable Functions
  • Business Operation
  • Software Design & Engineering Services
The Challenge

With internal analytics use cases and 3rd party data sources expanding rapidly, the primary challenge was selecting a BI platform and a cloud data platform that could handle multiple data sources, model complexity, and enable straightforward dashboard creation. 

On the enterprise side, the company was eager to streamline reporting data for quarterly business reviews. With a growing list of 3rd party applications like Quikbooks, Salesforce, and Pendo, account managers needed an easier way to unify data and demonstrate ROI to the institutional accounts they manage.

The Customer
About The Customer

Interfolio believes that smart people deserve smart technology. Leveraged by over 300 institutions of higher education across the globe such as Cal Poly, Northwestern, and NYU, its software services are used to track faculty hiring processes, streamline accreditation and activity reporting, and improve workflows for promotion, tenure, and review. 

The Solution

Investing in Sisense, the company need a data warehouse that was sound and could scale with the organization as their data and analytics need to be expanded. With Sisense and Snowflake, performance, scalability, and maintenance would no longer be an issue.

Sisense’s platform provided the flexibility to prepare, query, and manage data within Snowflake using both code and a web-based, visual data modeling experience. And with the option to use both live and in-memory data options, Interfolio’s ability to derive greater insights from its data would be limitless.

Operational Impact
  • [Data Management - Data Availability]

    With Snowflake, it’s simple for the team to pull any additional data they might request directly into Sisense to keep them enabled with the most up-to-date insights

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