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Why Does Producing Our Quarterly Statistics Bulletin Take the Research Team a Whole Week?

Trade association research teams rebuild the quarterly statistics bulletin by hand each time. We build a pipeline that drafts charts, tables and text.

Updated 3 min readBy SpiderHunts Technologies

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Quick answer — TL;DR

The bulletin takes a week because each quarter the analyst copies new figures into last quarter's workbook, rebuilds charts, pastes them into a Word or InDesign layout and rewrites the commentary around new numbers. We build a pipeline that takes the approved dataset, generates every chart and table in your house style, drafts factual commentary for the analyst to edit, and outputs the bulletin and a web version together.

Publication week in the research office

The quarterly survey is closed and cleaned. Now the bulletin. The analyst opens last quarter's Excel workbook, pastes in the new figures, and checks every chart range has picked them up. Some have not. Two charts need a new data point added by hand. The tables are rebuilt and then copied into the Word template, or sent to the designer to set in InDesign. The commentary, 'output rose for the third consecutive quarter, led by...', is rewritten around the new numbers, and every number in the text is checked against the tables.

Then the web version: a separate page, with images of the charts exported one by one, and a download of the data tables that has to be kept in step with the PDF. And the press release, which quotes figures that must match both.

By the time it is out, the analyst has spent a week producing a document that, structurally, is identical to last quarter's.

Why the bulletin is rebuilt every quarter

  • Charts are Excel objects tied to cell ranges that must be extended by hand.
  • The layout lives in Word or InDesign, separate from the data, so every figure is pasted in.
  • Commentary numbers are typed, so each has to be checked against the tables.
  • The PDF, web page, data download and press release are separate outputs with separate copies of each number.
  • Revisions to earlier quarters mean hunting down every place an old figure appears.

None of this is analysis. The analysis is deciding what the figures mean for the sector, and that is the part that gets squeezed.

What the production week costs

The research team's time, above all, spent on formatting rather than insight. Publication later than it could be, which matters when journalists and officials want the figures while they are news. And a steady risk of a mismatch, such as a number in the commentary that no longer matches a revised table, which undermines trust in the statistics when someone notices.

A bulletin pipeline from dataset to publication

We build a pipeline that treats the bulletin as output from the data, not a document to be edited.

  1. The approved quarterly dataset, after your confidentiality checks, is the single input.
  2. Each chart and table is defined once in code (Python or R), styled to your house style, and regenerated from the dataset every quarter, including revisions to back data.
  3. Key figures (changes on the quarter and year, highs, lows) are calculated and held as named values, so every place a number appears uses the same value.
  4. An AI model drafts factual commentary from those named values, limited to describing what the numbers show; the analyst rewrites it with the sector interpretation only your team can give.
  5. The pipeline outputs a PDF from a template, a web page with interactive or static charts, and downloadable tables, all from the same run.
  6. A check step lists every number in the commentary and confirms it matches the calculated values before release.
OutputBeforeAfter
ChartsExcel ranges extended by handRegenerated from the dataset
TablesCopied into Word or InDesignGenerated in house style
Commentary figuresTyped and checked by eyePulled from calculated values
Web versionBuilt separately with exported imagesProduced in the same run
RevisionsHunted through every outputRerun the pipeline

If your designer needs to keep control of the print layout, the pipeline can produce the charts and tables as files for InDesign instead of a finished PDF.

Bulletin week, afterwards

The analyst runs the pipeline on the approved dataset and gets a complete draft bulletin, web page and data download. The time goes into reading the figures, talking to the policy team and writing what the numbers mean. Revisions are a rerun. The press release pulls its figures from the same values, so it cannot disagree with the bulletin.

Is your bulletin built by hand?

  • Chart ranges are extended manually each quarter.
  • Figures are pasted from Excel into Word or InDesign.
  • Numbers in the commentary are checked against tables by eye.
  • The web version is produced separately from the PDF.
  • Revisions mean editing several documents.

FAQ

Frequently asked questions

The questions readers ask us after this guide.

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Does the AI interpret the figures?

No. It drafts factual descriptions from calculated values. The interpretation, and the final text, is your analyst's.

Can we keep our current bulletin design?

Yes. We reproduce your house style in the generated charts and templates, or hand files to your designer.

Will our analysts be able to maintain it?

That is the aim. The code is written for your team to read and change, with notes, and we walk them through it.

What drives the cost?

The number of charts and tables, how many output formats you need, and whether commentary drafting is included.

Keep reading

More on Problems We Solve

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