10decodersOne trusted source for franchise-wide reporting
A franchise management company running a large network had its business data scattered across spreadsheets, API feeds and email attachments. 10Decoders built an automated, multi-tier data pipeline that unifies every source into one warehouse, ready for business intelligence.
From scattered files to one source of truth
The client manages a large network of franchises. The data behind its business reports arrived in several different forms: spreadsheets prepared by hand, raw API payloads and files sent as email attachments. None of it lived in one place, so every report began with someone collecting, cleaning and reformatting data by hand.
10Decoders replaced that manual work with an automated pipeline. Data is picked up as soon as it arrives, moved through raw, cleansed and aggregated layers in a central warehouse, and lands as business-ready metrics. If any step fails, the engineering team is alerted right away.
The building blocks of the pipeline
Pipeline Orchestration Engine
An open-source orchestration engine schedules and runs every ingestion and transformation job.
Secure Network File Share
Business users drop spreadsheets into a shared folder, and the files move to the server automatically.
Automated API Ingestion
Raw API payloads are collected and loaded without anyone copying data across by hand.
Relational Data Warehouse
A single relational database holds every layer of the data, from raw input to final metrics.
Bronze · Silver · Gold Layers
A medallion design separates raw capture, cleansing and aggregation into clear, traceable stages.
Chat-Channel Alerts
Any pipeline failure sends an instant notification to the engineering team's chat channel.
Every report started with hunting down the data.
The Challenge
- Data spread across spreadsheets, API payloads and email attachments
- No central repository or single source of truth
- Hours spent gathering, cleaning and formatting data by hand
- Constant risk of human error in every manual step
Our Approach
- Automated intake from every source into one raw layer
- A central, layered warehouse as the single source of truth
- Chained pipelines that cleanse, format and aggregate on their own
- The same standardization rules applied on every run
The Solution
10Decoders built a fully automated, multi-tier data integration pipeline. For file-based data, users simply drop spreadsheets into a secure network share, and the files transfer straight to the server. API data is collected automatically.
From there, three chained pipelines take over. The first loads raw data into the Bronze layer. The second cleans and standardizes it into the Silver layer. The third aggregates it into business-ready metrics in the Gold layer, where reporting picks it up. Failures at any layer trigger an instant alert to the engineering channel.
Drop-and-go intake
Spreadsheets and API data enter the pipeline with no manual handling.
Raw capture in Bronze
Source data is stored as received, so every figure can be traced back.
Cleansing in Silver
Inconsistent data is cleaned, formatted and standardized automatically.
Metrics in Gold
Aggregated, business-ready data is ready for reporting and analysis.
From source files to business metrics
Spreadsheets, APIs & Email
Franchise data arrives through a network file share and automated API collection.
Orchestrated Medallion Pipeline
Bronze, Silver and Gold pipelines run in sequence inside a central relational warehouse.
Reporting-Ready Metrics
Analysts and leadership work from clean, aggregated data, with failures flagged instantly.
Built for reliable, repeatable reporting
Each stage has one job
Raw, cleansed and aggregated data live in separate layers, so problems are easy to isolate.
Pipelines trigger each other
Once data lands, each layer runs the next with no manual hand-off in between.
Raw data is always kept
The Bronze layer stores source data as received, so any metric can be traced back.
Clean before it's used
The Silver layer standardizes messy input before it ever reaches business users.
Failures surface instantly
Automated chat alerts tell the team the moment any layer fails, not the next morning.
Ready for what comes next
A structured Gold layer gives a solid base for advanced analytics and AI-driven insights.
Three pieces, one pipeline
Data Ingestion Pipeline
Automated intake of spreadsheets, API payloads and attachments into the raw layer.
Multi-Tier Data Warehouse
A relational warehouse organized into Bronze, Silver and Gold layers.
Automated Alerting System
Chat-channel notifications whenever any pipeline layer fails.
What changed
Automated data ingestion
No more hunting through emails, APIs and spreadsheets. Data is ingested as soon as it is provided.
Consistent, clean data
Messy raw input is cleansed and standardized before it reaches business users.
Proactive monitoring
Operators no longer guess whether the overnight run worked. Alerts show pipeline health instantly.
Runs without intervention
Pipelines process data through every layer on their own, with no manual steps.
A single source of truth
Every report now draws from the same aggregated Gold layer instead of separate files.
Analysts back on analysis
Time once spent extracting and wrangling data now goes into studying franchise performance.
How the work was delivered
Team & Engagement Model
- Data engineering, QA and business analysis in one dedicated team
- Each layer validated before it feeds the next
- Pipelines live in production today
Business Value
- Manual data gathering and formatting removed
- Fewer reporting delays and fewer manual errors
- Built on open-source orchestration and a relational database
Data Model & Scope
- Pipelines and data model built around the client's own schema
- Raw data retained for traceability and audit
- Structured base for future analytics and AI work
Impact across the organization
Clean data, ready to use
Instead of hours of extraction and wrangling, analysts go straight to aggregated data and focus on franchise performance.
Faster, better-informed decisions
One source of truth means fewer reporting delays and more accurate insight into the franchise network.
Problems caught right away
Instant alerts when a source file is corrupted or a pipeline fails cut the time it takes to resolve issues.
