Codat | Advisory Intelligence for Commercial Banking

# Codat > Banking on Better Data > Last updated: 2026-09-19 ## Search - Search URL: `https://codat.io?s={query}` ## Recent Content - [5 things your commercial card team can’t see without client accounting data](https://codat.io/resources/5-things-your-commercial-card-team-cant-see-without-client-accounting-data/): Most commercial card pitches are built on whatever a client chooses to share. Here’s what changes when the data comes straight from their books instead. A card sales specialist sizing up a prospect is almost always working from the same handful of inputs. It usually includes whatever the client chooses to disclose, a competitor’s card […] - [FNBO's Maria Line on the real value of transaction data & AI](https://codat.io/resources/fnbos-maria-line-on-the-real-value-of-transaction-data-ai/): FNBO’s Maria Line on why transaction data matters more than the transaction itself, and what AI has changed about how fast a bank can act on it. Loans generate a touchpoint once a year, maybe once every few years. Payments generate one every day, sometimes several times before lunch. That gap in frequency, says Maria […] - [Advisory Intelligence Platform](https://codat.io/products/advisory-intelligence-platform/) - [What is ERP data? A guide for commercial banks](https://codat.io/resources/what-is-erp-data/): What ERP data means for commercial banks: where it comes from, how it differs from the data banks already hold, and how banks can access it. The term ERP data comes up in vendor conversations, product strategy discussions, and questions about what client information a bank is missing, often without anyone pausing to properly define […] - [AI will make banking's data paradox impossible to ignore](https://codat.io/resources/ai-will-make-bankings-data-paradox-impossible-to-ignore/): Banks are training AI on decades of their own data. The problem is everything that data leaves out. By Joey Rault, Chief Revenue Officer A year