Power BI Inside Your ERP: The “Stop Exporting to Excel” Moment
What Embedded Reporting Reveals About Life After Great Plains
Competing With 17,000 Organizations: How Great Plains Migration Capacity Tightens as 2029 Approaches
When Microsoft announced the end-of-life timeline for Dynamics Great Plains, most organizations focused on the final date. December 31, 2029 became the point of reference. That’s when support ends. That’s when action becomes unavoidable.
Great Plains Security Risks: Why End-of-Life ERP Software Becomes a Prime Attack Vector
This article was inspired by our recent webinar, Great Plains Migration Roadmap for Nonprofits, where we discussed the growing security and compliance risks of staying on end-of-life ERP systems.
5 Data Habits That Subtly Wreck Your Financial Reporting (and What to Do Instead)
Most reporting problems don’t show up all at once.
The 8 Conversations You Need to Have Before You Redesign Your Dimensions
Earlier this year, we hosted a thought leadership webinar called Dimensions in Practice: A Conversation for Finance Leaders. It was a candid conversation led by Meg Wilson, Jennifer Hume, and Kinley Graham; three people who…
7 Habits of High-Performing Dimension Structures
Most finance teams understand dimensions. They’ve implemented them. They use them. They rely on them for reporting, budgeting, and oversight.
From 10,000 GL Accounts to 130: How Dimensions Clean Up Your Chart of Accounts
If you’ve ever inherited a chart of accounts with five segments, 14 digits, and thousands of near-identical combinations, you already know how this story starts.
What the 2025 Federal Budget Means for Canadian Nonprofits — And How to Build Financial Resilience Now
Canada’s 2025 federal budget arrived with a long list of “firsts.” It’s the first budget of the Carney government, the first tabled in the fall, and the first to draw a…
2026 Funding Playbook: Grants Canadian Nonprofits Can Use for Digital & Finance Systems
A lot of Canadian nonprofits know they “should” modernize their finance and data systems. Fewer have a clear answer to the follow-up question: who’s going to pay for this?