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Your review and reaccreditation cycles shouldn't feel like a fire drill every few years. You can spend less time chasing down evidence and more time telling your institution's continuous improvement story.

Bring visibility to student learning outcomes so your assessment data can power better decisions that impact continuous improvement. Less assessment hassle for faculty, more impact for your institution.

In higher education, labor spend is the budget, yet we are still managing this 𝟲𝟬-𝟳𝟬% 𝗲𝘅𝗽𝗲𝗻𝘀𝗲 without the granular data required for sophisticated planning. Our latest analysis from the HelioCampus Labor Cost Analytics Consortium reveals six critical areas where staffing trends are shaping institutional finance: 📊 𝗦𝗶𝘅 𝗛𝗶𝗴𝗵-𝗦𝘁𝗮𝗸𝗲𝘀 𝗦𝘁𝗮𝗳𝗳𝗶𝗻𝗴 𝗧𝗿𝗲𝗻𝗱𝘀 • 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗦𝘁𝗮𝗳𝗳𝗶𝗻𝗴: Assessing how research administration staffing (averaging 0.8 FTE per $1M in research expenditures) must adapt to shifting federal funding volatility. • 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 & 𝗔𝗱𝗺𝗶𝗻 𝗕𝗮𝗹𝗮𝗻𝗰𝗲: Analyzing the labor ratio between research positions and research administration (roughly 5:1) to ensure alignment with research complexity and compliance. • 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁/𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗦𝘁𝗮𝗳𝗳𝗶𝗻𝗴: Benchmarking the efficiency of fundraising teams, where the average institution requires 1.5 FTEs to raise $1M in philanthropic support. • 𝗔𝘁𝗵𝗹𝗲𝘁𝗶𝗰𝘀 𝘃𝘀. 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗦𝗽𝗲𝗻𝗱𝗶𝗻𝗴: Highlighting the significant investment shift, with Athletics labor spend increasing 28% compared to 12% for Academics labor (FY20-FY23), forcing a necessary mission-alignment check. • 𝗜𝗧 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗦𝘁𝗮𝗳𝗳𝗶𝗻𝗴: Examining the critical need for increased staffing in IT security to combat the 70% rise in cyberattacks since 2020 and protect sensitive data. • 𝗛𝗥 𝗖𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Using labor cost data to show that higher decentralization leads to higher operational costs, making centralization a key strategic lever for efficiency. This isn't about arbitrary cuts. It's about moving from instinct to evidence to defend every strategic dollar spent and ensure our financial resilience for the long term. #HigherEd #FinancialSustainability #ActivityBasedCosting #LaborCostBenchmarking #AcademicLeadership

We're all chasing the AI dream in higher education, but here’s the cold reality: 𝗔𝗜 𝗶𝗻 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝘀 𝘁𝗵𝗲 𝗵𝗮𝗿𝗱𝗲𝘀𝘁 𝗔𝗜. Without a strong foundation and purpose-built technology, the results will be inaccurate and ultimately useless. For too long, deep institutional insights have been locked away, accessible only to a handful of data experts. Generic AI tools, when pointed at complex, raw institutional data, will give you an accuracy rate as low as 5%. That's not decision support; that's just expensive trivia. We solved this at HelioCampus. At EDUCAUSE next week we will be launching Theia Analyst, the first AI-powered decision support agent purpose-built for higher education. What makes it so accurate? 1. 𝙏𝙝𝙚 𝙎𝙚𝙢𝙖𝙣𝙩𝙞𝙘 𝙈𝙖𝙣𝙖𝙜𝙚𝙧: This is our essential "instruction manual" for the AI. It lets institutions define their specific business rules, like how to correctly calculate a DFW rate or define at-risk student conditions. 2. 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆: Theia Analyst shows its work by providing a confirmation step with its methodology, confidence level, and underlying SQL code before delivering an answer. Our testing shows that running this conversational engine through a trusted semantic layer can boost accuracy to 𝟵𝟱%. And, our AI tool shows you a confidence level with each response. 𝗧𝗿𝘂𝘀𝘁𝗲𝗱 𝗗𝗮𝘁𝗮 + 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 = 𝗛𝗶𝗴𝗵 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗔𝗜. No shortcuts. We’ve invested in the governance tools that make the technology work for you. We built the first AI decision support agent designed for higher ed: https://lnkd.in/edfwXEHB #HigherEd #EdTech #AIinHigherEd #DataGovernance #SemanticLayer

When complex cost data lives in siloed systems, critical expenses slip through the cracks–forcing difficult, preventable discussions and missed revenue opportunities.

When complex cost data lives in siloed systems, critical expenses slip through the cracks–forcing difficult, preventable discussions and missed revenue opportunities.