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Test new business models, launch in new markets, and lead your company
Everest Systems Achieves SOC 2 Type 2 Compliance: Reinforcing Data Security Commitment for SaaS Customers
Everest Systems Achieves SOC 2 Type 2 Compliance: Reinforcing Data Security Commitment for SaaS Customers
Everest Systems Achieves SOC 2 Type 2 Compliance: Reinforcing Data Security Commitment for SaaS Customers
Everest Systems Achieves SOC 2 Type 2 Compliance: Reinforcing Data Security Commitment for SaaS Customers
Everest Systems Achieves SOC 2 Type 2 Compliance: Reinforcing Data Security Commitment for SaaS Customers
Everest Systems Achieves SOC 2 Type 2 Compliance: Reinforcing Data Security Commitment for SaaS Customers
Everest Systems Achieves SOC 2 Type 2 Compliance: Reinforcing Data Security Commitment for SaaS Customers
Everest Systems Achieves SOC 2 Type 2 Compliance: Reinforcing Data Security Commitment for SaaS Customers
How I spend my first 100 days as CFO
I’ve worked for five companies in five industries, and one thing seems universal: Everyone assumes that their processes and systems are a given. That whatever steps they take are necessary, that any software is capturing numbers correctly, and that the finance leadership has a full view. But this is rarely the case.
How are finance teams using AI right now? [2026 update]
Finance leaders want to know what others are using AI for. The answer is complicated, but these 12 use cases are worth considering.
What’s the value of a live sandbox? (NetSuite comparison)
Your team buys an ERP. Then, for every $1 you paid for the ERP, you spend an additional $1.50 to $3 on other applications to extend its functionality. Is that good? Is it normal?
Why I think finance leaders should be “multilingual”
Any finance leader who is not deeply interested in information flows is, I think, not understanding where finance is headed. Forget forecasting. Forget number crunching. Finance is becoming about information flows and the ability to understand the business well enough to change it.
How I spend my first 100 days as CFO
I’ve worked for five companies in five industries, and one thing seems universal: Everyone assumes that their processes and systems are a given. That whatever steps they take are necessary, that any software is capturing numbers correctly, and that the finance leadership has a full view. But this is rarely the case.
10 physical goods companies that launched a successful subscription
Subscriptions are great for all the reasons low-margin recurring revenue is great—you can plan against it, the marginal costs are (often) low, and it diversifies your revenue.
How to launch a subscription service step-by-step
We believe the future belongs to finance teams that can iterate, test, and support many business models and currencies. That’s why it’s so important that all companies—especially those that manufacture and sell goods—be able to experiment with high-margin subscription offerings.
Should you launch a subscription when you sell physical goods?
Pick any two public companies where one primarily sells physical goods and the other sells software. Compare their gross margins. The difference is usually clear.
The cautious CFO’s case for AI
For years, the conventional wisdom was clear: Keep AI away from your ledger. The technology was too unreliable, the risks too high, the stakes too great. But that risk/reward ratio has shifted.
Why AI-Native ERP Matters: Insights from an SAP Veteran
In the rapidly evolving world of enterprise software, the term "ERP" gets thrown around liberally. But what truly separates a comprehensive enterprise resource planning system from a financial tool with AI features bolted on?
How legacy ERPs became a liability for CFOs
For CFOs, FP&A is evolving to look more like FP&AA—planning, analysis, and action. Fifty-seven percent are now asked to develop their organization’s strategy, finds a Deloitte survey of 1,326 finance executives. Which would be fine were they not severely limited by what their ERP system allows.
As CFO, you must be an informed AI buyer
There are two great public myths you will hear about LLMs these days: One, that anyone can now create sustainable billion-dollar companies with tiny teams. And two, that AI belongs in every feature of every product. But as new studies reveal, the truth is more complicated.
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