Why financial budgeting and planning in Pigment means your plan moves as fast as your business does. Picture this. It's February. Your team spent the better part of Q4 building the annual budget. Countless spreadsheet versions, cross-functional alignment meetings, approval chains that stretched into December. The ...
Planning teams have long wrestled with a familiar problem: forecasts that are painstakingly built in spreadsheets, disconnected from live data, assumption-based and inaccurate, and outdated by the time they reach a decision maker’s desk. Pigment’s Predictions feature was designed to solve that and takes it a step ...
What’s the Difference and Why It Matters Enterprise Resource Planning systems sit at the center of how modern businesses run. But not every ERP initiative is created equal. Some organizations are launching a new platform for the first time. Others are trying to get more value from a system they already own.
Why a Health Check Matters More Than Ever
Ecommerce continues to grow at a staggering pace. With the global ecommerce platform market expected to jump from $8.09B in 2025 to more than $21B by 2033, organizations are racing to keep up with rising customer expectations, omnichannel demands, and increasingly complex digital operations.
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Banks are under more pressure than ever to deliver products and services that meet evolving customer needs while maintaining profitability. For commercial banks, this means having a clear, data-driven understanding of the full profitability of each corporate relationship.
The role of Finance is changing fast. No longer just scorekeepers, today’s FP&A teams are expected to act as strategic partners, influencing revenue growth, managing profitability and guiding operational decisions across the business. But there’s a problem: most finance teams are still buried in manual work.
For anyone running Planning Analytics or TM1, the decision to modernize and migrate to TM1 Version 12 (TM1 v12, or PA SaaS) isn’t about taking advantage of new features. It’s about preparing for what breaks along the way.
Manufacturers are under constant pressure to increase efficiency, reduce waste, and adapt to rapidly shifting demand. Traditional methods of production planning are no longer sufficient. AI-powered manufacturing analytics is emerging as a game-changing solution, helping manufacturers transform data into decisions and ...
The AI revolution is here, and the finance teams that adapt their operating model will win. The best time to start was yesterday; the second best is today.
