Merge five data sources into one master reporting spreadsheet

Pulls data from five different systems on a schedule and combines it into a single master spreadsheet for reporting.

How the work actually flows

From the manual situation today to what runs on its own.

flowchart TD trig>"Scheduled data pull"]:::trig s0["Data pulled from five systems"]:::task trig --> s0 s1["Each record tagged by source"]:::task s0 --> s1 s2["Data cleaned and merged"]:::task s1 --> s2 out[/"Master spreadsheet updated"/]:::out s2 --> out pay{{"One reliable source of truth"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Spreadsheet & Database OpsReporting & Analytics
Connects
Google SheetsPostgreSQLMongoDBMicrosoft SQL ServerGoogle Analytics

The problem it solves

Your data lives in a handful of different systems, and pulling it all together for a report means exporting spreadsheets, running database queries, and manually copying numbers into one place every time. It is tedious, error-prone work that eats up hours you could spend on analysis instead.

Who it fits

Operations and analytics teams who need a single, reliable view of data scattered across multiple databases and tools.

How it works

  1. On a set schedule, the system pulls records from Google Sheets, PostgreSQL, MongoDB, Microsoft SQL Server, and Google Analytics
  2. Each dataset is tagged with its source so you always know where a number came from
  3. All the data is merged, cleaned, and standardized into one consistent format
  4. The finished dataset is written into a master Google Sheet
What you get

Numbers you can finally trust across systems

Get data from five different systems merged into one master spreadsheet on a set schedule.

What you get

An up-to-date master spreadsheet combining data from all five sources, ready for reporting.

What you need

Access to Google Sheets, a PostgreSQL database, a MongoDB database, a Microsoft SQL Server database, and Google Analytics.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Combine Google Analytics, ads, and social data into one report

Automatically pulls your website, ads, and social numbers into one report and posts it to your team chat.

Advanced

Auto-generate weekly and monthly marketing reports with alerts

Every week and month, the system pulls marketing metrics, builds a report, and emails it to your team.

Advanced

Automate weekly and monthly marketing performance reports

Pulls website, ad, and CRM data together automatically and emails a full marketing performance report every week and month.

Advanced

Get a daily plain-English summary of your website traffic

Each day, AI compares today's website traffic to yesterday's and sends a simple summary by email or WhatsApp.

Advanced
Back to the AI Playbook