Report and Data Distribution
Report and Data Distribution
The recurring extract assembled, formatted and delivered on a schedule, instead of rebuilt by hand every Monday.
What this is
Most businesses have a report somebody rebuilds by hand on a cadence. The Monday operations pack, the month-end client statement, the weekly exception list, the board summary.
Automating it means pulling the figures from the systems that hold them on a schedule, assembling them in the format the recipients already read, and delivering them where those people look. Nothing about it is clever, and the arithmetic is easy to check before anything gets built.
The unglamorous part is the definition. Most of the work is agreeing exactly which figures, from which system, at which cut-off — because that is where two versions of the same report come from.
What you get
What gets built
The definition, the pull, the assembly and the delivery, plus the record that it happened.
The report definition
Which figures, from which system, on what cut-off, in whose time zone. Written down once, so the same report means the same thing to everyone reading it. This document usually outlives the automation that came with it.
The scheduled pull
Queries against the systems of record on the cadence the report needs, rather than an export somebody has to remember to run. Where a system has no API, the extract it can produce becomes the input.
Assembly and formatting
The workbook, the PDF or the page, laid out the way the recipients already read it. Format is not decoration when somebody has been reading the same layout for six years.
Delivery where people look
Email, Teams, a SharePoint library, a shared folder, or a file drop into a client's system on the schedule their side expects. A drop into a client's portal or file endpoint is part of the report rather than a separate integration project.
Exception reports
A report that only sends when a figure falls outside an agreed band. Timecards that disagree with the geofence log, jobs open past their date, margins below the floor — the routine weeks stop consuming anybody's attention.
A cut per recipient
The same report parameterised by client, branch or manager, with each recipient receiving only their own cut of it. Which matters when the recipients are clients rather than colleagues.
Written commentary where it earns its place
Where a short note on what changed is useful, a model writes it over figures that were computed by query. It describes the numbers; it does not calculate them, and where the numbers speak for themselves it is left out.
A run record and failure alerts
Every run logged with what was sent and to whom, and a failure raises an alert rather than a report quietly not arriving.
How it works
How the work runs
Take the report as it is built today
Including the manual corrections and the one column somebody fixes every month without telling anyone. That column is normally the reason two versions disagree.
Agree the figures and the cut-off
Which source is authoritative for each number, and when the window closes. This is the slow conversation and it is worth having properly.
Run it in parallel
The automated version runs alongside the hand-built one until the numbers match and every difference has an explanation. Two or three cycles is normal, and the differences found are often worth more than the automation.
Turn on the schedule
Distribution goes live with the run log, the failure alerts and a named owner for both.
What matters
What decides whether it still sends in a year
Reports are among the easiest systems to build and among the easiest to break quietly.
The numbers have to reconcile first
An automated report that disagrees with the hand-built one gets ignored, whichever of the two is right. The parallel run is where that gets settled, and it is not an optional stage.
A report that stops sending does not announce it
Silence looks the same as a quiet week. Monitoring the runs and alerting on failure is part of the build rather than something added after the first miss. The alert goes to a named person, because an alert into a shared mailbox is the same as no alert.
A missing source is a decision, not an empty page
When a system is unavailable at the cut-off, the report either holds, sends partial and says so, or raises an alert. That choice gets made deliberately, per report, and written into the definition.
Cut-off and time zone decide whether two people agree
Most disputed figures turn out to be a window boundary rather than a wrong calculation. The definition names the window and the clock it runs on, including what happens to a transaction posted at half past eleven.
Distribution lists rot
People leave, teams reorganise, and a client cut keeps arriving at somebody's old address. Recipient lists get tied to a group in the directory rather than typed into a workflow, so the leaver process maintains them.
Written commentary is checked against known periods
Where a model writes the narrative, it is constrained to figures already computed and reviewed against periods whose story is known. The same input can otherwise produce two different sentences.
Who it is for
Where this pays
Finance and operations
Month-end packs, reconciliations and management reports assembled by hand out of three different systems. Usually by the one person who knows where each number lives.
Firms with a recurring client deliverable
A report the client pays for and expects on a date, currently produced by a person working against the clock at the end of every period. The deadline is external, which is what makes the reconciliation worth doing properly.
Multi-site and field businesses
Managers who each need the same report cut to their own branch, crew or region, and currently get it late or not at all. One definition, one schedule, twenty recipients.
Anyone with a weekly spreadsheet ritual
The file rebuilt every Monday morning, and the person who cannot take a Monday off because of it. The report is usually right; it is the rebuilding that costs.
Questions
Frequently asked questions
Is this not what Power BI does?
A dashboard is a place people go; this is a report that arrives. The two sit together well, and most of the work here is the definition and the reconciliation rather than the chart. Where a dashboard already exists, this often just puts its figures in front of the people who never open it.
What can it pull from?
Anything with a database, an API or a scheduled export — accounting systems, CRMs, practice systems, ticketing tools, warehouses, and spreadsheets sitting in SharePoint. Systems with no interface at all are the ones worth checking early.
Do we need a data warehouse first?
Usually not. Most recurring reports run against the systems of record directly, and a warehouse starts to earn its place when the same figures are needed in several reports at once.
Is there any AI in this at all?
Often very little, and that is a description rather than a caveat. A model earns its place where input arrives as prose or where a written summary is wanted; the rest is queries, formatting and a scheduler.
What happens when a source system is down?
Whatever was agreed for that report — hold it, send partial with the gap named, or alert somebody. Every run is logged either way, so the answer to 'did it go out' is a lookup rather than a phone call.
How long does one take?
A single report is usually one to three weeks, and the parallel run adds a cycle or two before anyone should trust it. Reports two and three go faster because the connections already exist.
Also on this site
Name the report that gets rebuilt every Monday
Who builds it, which systems it comes from, and who reads it. That conversation is usually enough.
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