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DataFlow ETL Analytics Studio

From raw data to reporting, without the noise.

Turn raw, messy data into reporting you can publish — and automate the work that eats analyst weeks.

  • Automate data prep
  • Cut manual cleanup
  • Publish trusted reports
$150Commercial licence · Lifetime updates
  • Deployed in Excel & Google Sheets
  • Implementation guide included
  • Direct support from the build team
  • Secure checkout
Data Brain · Data Pipeline
Sources
42
▲ all connected
Rows processed
18.4M
▲ last 24h
Data quality
99.7%
▲ pass rate
Extract
01
Transform
02
Model
03
Deliver
04
JobSourceDurationStatus
Sales ledgerERP42sSuccess
Web analyticsGA41m 08sSuccess
InventoryWMS2m 31sRetried
Last refresh · 06:00Live model
Overview

What this product is, and why it matters.

DataFlow ETL Analytics Studio is a spreadsheet-native data pipeline. Raw exports from accounting systems, CRMs, and operational tools are landed in defined staging sheets, cleaned through documented transformation steps, and published into analysis-ready tables that feed dashboards and reports.

Most reporting problems are not analysis problems — they are data preparation problems. Teams spend the majority of their reporting time copying, deduplicating, reformatting dates, and reconciling categories. This studio makes that work explicit, repeatable, and reviewable rather than a manual ritual performed under deadline.

Because every transformation step is visible and documented, the pipeline can be handed over, audited, and improved. Reporting stops depending on one person's undocumented process.

The business challenge

The problems this product removes.

Manual data cleaning

Hours spent every cycle reformatting exports before analysis can begin.

Unrepeatable processes

Last month's preparation steps exist only in someone's memory.

Inconsistent categories

The same customer, product, or account appears under several different labels.

Untraceable numbers

When a figure looks wrong, nobody can trace it back to the source row.

The DataBrain solution

How the system answers it.

A repeatable pipeline

Defined staging, transformation, and output layers run the same way every cycle.

Documented logic

Each cleaning and mapping rule is written down and reviewable.

Consistent dimensions

Mapping tables normalise categories so reporting aggregates correctly.

Full traceability

Every reported figure can be traced back through the pipeline to its source.

Key features

Built for business outcomes.

Staging layer

Dedicated landing sheets for raw exports, kept separate from transformed data.

Transformation workspace

Structured, documented steps for cleaning, splitting, and reshaping data.

Data quality checks

Automated validation for blanks, duplicates, type errors, and out-of-range values.

Mapping and lookup tables

Normalise inconsistent category, account, and customer labels.

Deduplication tools

Identify and resolve duplicate records before they distort reporting.

Date and format standardisation

Consistent handling of dates, currencies, and numeric formats across sources.

Multi-source consolidation

Combine exports from several systems into one unified table.

Analysis-ready output tables

Clean, structured tables designed to feed pivots and dashboards directly.

Reporting dashboard

Pre-built analytical views built on the published output layer.

Audit and lineage log

Record of what was loaded, when, and which rules were applied.

Refresh checklist

A documented run procedure so any team member can execute the cycle.

Fully editable structure

Add sources, rules, and outputs as your data landscape changes.

Key business outcomes

What changes in the business.

Automated
Data preparation

Ingest, clean, and reshape steps documented once and reused every cycle.

Fewer
Reporting errors

Validation checks catch broken inputs before they reach an executive.

Hours
Returned each week

Analyst time moves from cleanup to interpretation.

Trusted
Reporting layer

Every published number traces back to a defined source and rule.

Best for

Built for the people held to the number.

Data / BI Analyst

Replaces repetitive manual cleanup with a documented, repeatable pipeline.

Operations Manager

Gets reliable operational reporting without waiting on a data team.

Head of Finance

Consolidates data from multiple systems into one reporting layer.

Consultant

Standardises how client data is ingested, cleaned, and presented.

Who it's for

Designed for people accountable for outcomes.

Industries
  • Professional services
  • Retail & e-commerce
  • SaaS & technology
  • Finance
  • Logistics
Business sizes
  • SMEs without a data team
  • Mid-market analytics functions
  • Consulting practices
Departments
  • Finance
  • Business intelligence
  • Operations
  • Data & analytics
Job titles
  • Data Analyst
  • Business Analyst
  • Finance Manager
  • Operations Manager
  • BI Consultant
Common use cases

How teams put it to work.

01

Monthly reporting preparation

Turn system exports into clean reporting tables on a fixed, repeatable run.

02

System migration cleanup

Standardise and validate data before loading it into a new platform.

03

Multi-source consolidation

Combine sales, finance, and operational exports into one analytical base.

04

Client data engagements

Consultants deliver a documented, auditable preparation process alongside analysis.

What's included

Everything delivered at checkout.

  • Fully editable Excel workbook (.xlsx)
  • Google Sheets compatible version
  • Pre-built dashboard and report views
  • Sample data set for immediate exploration
  • Quick-start setup guide
  • Formula and structure documentation
  • Free lifetime updates via Gumroad
  • Direct email support
Deliverables

Exactly what you receive.

  1. 01Structured extract, transform, and load framework
  2. 02Source register and field mapping sheets
  3. 03Data cleaning and normalisation routines
  4. 04Validation and quality-check layer
  5. 05Reporting and analytics output views
  6. 06Pipeline run log and monitoring sheet
  7. 07Documentation for every transformation rule
  8. 08Quick-start guide and worked example
Industries served

Deployed across sectors.

Professional servicesRetail & e-commerceSaaS & technologyFinanceLogistics
Product preview

A look inside the system.

Live interface views rendered from the delivered workbook.

Why choose Data Brain

Intelligence, delivered with craft.

Business intelligence expertise

Systems designed by practitioners who have built reporting for real operating businesses.

Professional design

Executive presentation quality — output that can be shown to a board without reformatting.

Actionable insight

Every view answers a decision, not merely displays a number.

Reliable support

Direct, personal email support from the person who built the system.

Modern analytics

Current modelling and reporting conventions, delivered in familiar tools.

Practical business value

Built to be used on Monday morning, not admired in a demo.

Questions

Considered answers.

Which software do I need to use this product?

DataFlow ETL Analytics Studio is built for Microsoft Excel (Windows and macOS, Microsoft 365 or Excel 2019+) and opens in Google Sheets with equivalent functionality preserved wherever possible.

How is the product installed?

There is no installation. After checkout you download the workbook, open it, and replace the sample inputs with your own. A quick-start guide walks through first-time setup in a few minutes.

Do I receive updates?

Yes. Improvements and new versions are published to the same Gumroad purchase, so you can re-download the latest release at any time at no extra cost.

What licence do I get?

A commercial licence for use inside your own business or client engagements. Redistribution or resale of the files as a product is not permitted.

What support is available?

Direct email support at umeadiobed@gmail.com. Questions on setup, formulas, and adapting the model to your business are answered personally.

Can it be customized to my business?

Completely. Nothing is locked or password-protected — every input, formula, chart, and layout is open and editable. Custom build requests can be discussed on a consultation call.

What is the refund policy?

Because this is an instantly delivered digital product, refunds are handled case by case through Gumroad. If the product does not work as described, contact support and it will be resolved.

When is this the right product for me?

DataFlow ETL Analytics Studio is best suited to teams that already hold the underlying data but lack a structured, repeatable way to turn it into decisions and reporting.

Begin

Put DataFlow ETL Analytics Studio to work this week.

Turn raw, messy data into reporting you can publish — and automate the work that eats analyst weeks.