The data your business already has, and what it is worth

Trade firms often assume data is something other companies have. In reality a firm that has been quoting, invoicing and finishing jobs for five years is sitting on a stack of intelligence that would make a pricing consultant salivate. It is just scattered, unlabelled, and doing nothing.

You have more data than you think

Every quote you ever sent is a record of what you thought a job was worth. Every invoice is a record of what it actually cost to deliver. Every won or lost enquiry is a data point about your market position. Every email thread is a record of how long decisions took and what clients pushed back on. None of this was collected as data, which is why it does not feel like data. But it is, and it answers questions most owners answer by gut.

The problem is not scarcity. It is that the information lives in six different places, none of which can talk to the others, and extracting an answer means an evening of copy and paste that nobody ever does twice.

The six places it hides

Each source answers a different question, and joining them is where the money is:

What it is worth in practice

Three concrete examples of the same data working harder:

• Quoted versus actual. Join five years of quotes to their final invoices and you learn, per job type, where you systematically under-price. Most firms discover one category quietly subsidising another. That single finding usually pays for the whole exercise; it is the theme of the estimating mistakes that kill margin.
• Win-rate by response speed. Match enquiry timestamps to quote-sent timestamps and outcomes. Firms almost always find that quotes sent within a day or two convert dramatically better than quotes sent in week two, which turns quote speed from a nice idea into a priced decision.
• The enquiries that never became quotes. Call logs and inboxes contain the enquiries that were never answered. Counting them is uncomfortable and extremely useful: it is usually the largest single revenue opportunity in the business.

Why the data stays trapped

If the value is real, why does nobody use it? Because the cost of extraction is front-loaded and manual. The quotes are PDFs in sent mail. The costs are in the accounting package under different job names. The enquiry dates are in a phone. Joining them requires hours of tedium per question, so questions go unasked, and the gut keeps making six-figure pricing decisions unassisted.

There is also a quieter trap: the data that never gets recorded at all. The enquiry answered on a mobile and forgotten, the site variation agreed verbally, the reason a quote was lost. Fixing the plumbing between systems only pays fully when the capture points are fixed too, so that the record is created at the moment the event happens rather than reconstructed at the end of the month from memory.

This is precisely the problem integration solves. When quotes, accounts, email and job records flow into one connected system, with the CRM as the spine, every one of those questions becomes a report instead of a project. That plumbing work, connecting CRM, email, accounting, project management, internal databases and third-party software, is the heart of week three in an AGMM install; the detail is in the integration checklist.

The analysis step: data before promises

This is also why a serious automation engagement starts by looking at your existing data rather than pitching features. In AGMM's process, the sixty minute discovery call is followed by a three to seven day analysis, and much of that analysis is exactly the exercise above performed properly: your quotes, your win rates, your response times, your hours, turned into a quantified business case covering time savings, cost savings, capacity gains and revenue opportunities. The business case is only as good as the data behind it, and the data is yours; the full process is described on the QS Quoter Commercial page.

Your firm has already paid for this data, once, in the years of work it took to generate. The only question is whether it keeps sitting in six places doing nothing, or starts earning its keep.