Stop Buying New Laptops: Why Your CRM Problem Isn’t Technical

Most nonprofit CRM failures stem from broken processes and untrained staff, not bad technology. Rushing into expensive system replacements based on polished vendor pitches often leads to six-figure losses, operational chaos, and high staff turnover. True efficiency often comes from unglamorous governance—mapping workflows, upskilling teams, and exhausting your current system’s capabilities before writing a massive check for a new platform.

Where the data, the tools, or the conventional approach get it wrong, and what I did about it.

Web of Science date fields can mislead research analysis by conflating official publication years with early online access, skewing key trends. Relying blindly on standard search filters distorts publication counts, threatening data integrity and subsequent reporting. To safeguard strategic insights, research managers must ensure data teams use transparent processing workflows to catch these discrepancies.

When Bibliometrix Author Counts Don’t Add Up

Bibliometrix’s biblioAnalysis() is a reliable workhorse — but its author count metrics can silently misfire on certain Web of Science exports. A semicolon count in R and a Power Query split both told a different story. Here’s what the discrepancy reveals about parsing transparency, and why a second method should be routine.