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One idea at a time.

Practical reads on earning more and losing less with data and AI. One idea, one number, one thing to try.

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7 results for “month-end close”. Show everything

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Vendor master hygiene: the quiet control behind clean payments

Duplicate vendors, stale bank details and missing tax data cause duplicate payments, fraud and compliance problems. A clean vendor master prevents all three. A practical guide to cleaning it and keeping it clean.

1 min read
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Ten checks to run before you close the month

Most close problems are found after the books are closed, when fixing them is slow and visible. These ten data checks catch the common ones while there is still time to correct them.

2 min read
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Where revenue leaks: 12 places to look this quarter

Most companies lose a slice of revenue they already earned. It hides in prices, discounts, contracts and billing. Here are twelve places to look, and the data that shows each one.

2 min read
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Continuous controls monitoring: a buyer’s guide

Continuous controls monitoring promises to test every transaction, every day. Before you buy, know which controls to start with, what an alert should look like and who will act on it.

2 min read
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Know every vendor by what it does: TPRM beyond questionnaires

Third-party risk programmes run on questionnaires that vendors fill in once a year. The risk shows up somewhere else: in payments, bank changes, filings and the news. Here is how to watch it.

1 min read
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Paying MSMEs in 45 days: what Section 43B(h) means for your P&L

Under India’s Income-tax Act, late payments to micro and small suppliers can cost you the tax deduction for that year. Here is how the rule works in outline, and how to know which invoices are at risk before year end.

2 min read
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The rolling forecast that explains itself

A forecast nobody trusts is a spreadsheet with opinions. A rolling forecast that shows its drivers, its accuracy and why it changed gets used. Here is how to build one.

2 min read

See it in practice

Use cases from our own project work, anonymised, and scenarios that show the method: one problem, the checks we run, what they find.