Articles on data, reporting, and AI you can trust
How finance and operating teams unify their systems, define their metrics once, and get answers out of AI that trace back to source data.
Looking for product announcements? Read the launch week posts.
Browse by who you are
For Fractional CFOs & Finance Teams
Close, consolidation, cash, and client reporting for teams running finance across several companies at once.
Multi-Entity & ReconciliationClose, Client & Board ReportingCash Flow, Budgeting & PlanningCompliance & Regulatory Reporting
3 articles
For Consumer Brands (CPG)
Retail, distributor, ecommerce, and trade data for brands whose sales history is spread across every channel they sell in.
Retail, POS & Syndicated DataTrade, Promotion & DistributorsDemand Planning & InventoryMarketing, DTC & EcommerceChannel Profitability & FinanceCPG Analytics & Self-Service
13 articles
Collections
The "With AI" series
One job at a time: what generic AI already does well on it, where it breaks on business data, and what changes with a governed context layer underneath.
1 article
Integration guides
What becomes answerable once a system is connected, and how it sits alongside everything else.
1 article
Latest
- For Consumer BrandsAI inventory planning: what works and what breaksClaude and ChatGPT can read a warehouse export and explain a reorder formula. Neither can hold the four files where your real stock position lives.·6 min read
- For Consumer BrandsAI trade promotion planning needs three feeds to agreePromotion ROI is an identity problem before it is an analysis problem. The plan, the shipments and the POS have to describe the same promotion first.·8 min read
- For Consumer BrandsCPG demand planning starts with the sales historyEvery forecast is a statement about the past. Most of the error in a CPG forecast is inherited from a history assembled by hand each cycle.·5 min read
- For Consumer BrandsDemand forecasting automation for ecommerce brandsAutomation can assemble and maintain the sales history a forecast runs on. It cannot tell you what a launch with no comparable past will sell.·7 min read
- For Consumer BrandsDemand forecasting mistakes that a better model will not fixThe total landed close and the SKUs underneath it were wrong in both directions. Most of the named errors turn out to be one error, inherited from the history the forecast was measured against.·8 min read
- For Consumer BrandsHow to automate POS data analysisScheduling the retailer exports is the smaller half of the job. The product mapping and the calendar underneath them are where the week goes.·7 min read