Zoho Sales Dashboard with Microsoft Fabric

Zoho Sales Dashboard with Microsoft Fabric & Power BI | Iqra Technology
Power BI · Microsoft Fabric · Case Study

Zoho Sales Dashboard with Microsoft Fabric

How Iqra Technology used Microsoft Fabric to build a real-time Sales and Collections dashboard in Power BI, giving a multi-company group full visibility into sales orders, invoices, payments, outstanding dues, and aging — all in one place.

Power BI Microsoft Fabric Zoho Books Order-to-Cash Aging & Cash Flow DAX Multi-Company Reporting

Client Overview

A multi-entity Information Technology group made up of four business units, working in software development, managed IT services, and international staff augmentation. All four companies record their sales orders, invoices, payments, and customer data in Zoho Books. As the group grew, sales and finance teams needed one clear view of sales performance, cash collection, and outstanding customer dues across all four companies — instead of checking each Zoho Books account separately. The client wanted a single, automated Power BI dashboard, built on Microsoft Fabric, that shows sales orders, invoices, payments, customer-wise sales, cash flow, outstanding receivables, and aging — all updated automatically every day.

Industry Details

IndustryInformation Technology & IT Services
Organization ScaleSmall – Mid Enterprise
LocationIndia (Multi-entity Group Operations)
Timeline3+ Months (Ongoing)
TechnologyMicrosoft Power BI
Company Size100–300 Employees

Project Overview

The client needed one clear, real-time view of the full sales cycle — from sales order to invoice to payment — across four separate companies. The project used Microsoft Fabric to build a complete sales data pipeline, and Power BI to turn that data into an easy-to-read Sales Dashboard.

Iqra Technology built a Microsoft Fabric ETL pipeline that pulls Sales Order, Invoice, Payment, and Customer data from the Zoho Books API for each of the four companies. The raw data is saved in a Bronze Delta layer, cleaned and standardized in a Silver layer using PySpark, and turned into ready-to-use sales, cash flow, and aging tables in a Gold layer using Fabric Data Warehouse T-SQL. This Gold layer powers a Power BI dashboard that gives sales and finance teams instant visibility into revenue, collections, and outstanding customer balances.

The dashboard also includes automatic aging analysis (0-30, 31-60, 61-90, 90+ days), a full cash flow view, and daily automated refresh through a scheduled Fabric Data Pipeline — so sales and finance teams always see the latest numbers without any manual work.

Client Requirements

  • Build one central sales data pipeline combining Sales Orders, Invoices, Payments, and Customer data from four Zoho Books companies.
  • Automatically pull sales and payment data from the Zoho Books API instead of manual exports.
  • Track the full order-to-cash cycle — sales order, invoice, and payment — in one place.
  • Calculate outstanding customer dues and aging buckets (0-30, 31-60, 61-90, 90+ days) automatically.
  • Build a clear cash flow view showing money coming in from customer payments.
  • Show customer-wise and company-wise sales performance in one dashboard.
  • Automate daily data refresh with a scheduled Fabric Data Pipeline — no manual steps needed.
  • Make sure Power BI sales numbers match the figures in Zoho Books.

Technologies Used

Microsoft Fabric (Lakehouse) Fabric Data Pipeline PySpark / Spark SQL Notebooks Delta Lake Tables Fabric Data Warehouse (T-SQL) Zoho Books REST API (OAuth) Python (API Integration & ETL) Power BI Desktop & Service Power Query (M Language) DAX (Data Analysis Expressions) Fabric REST API (Service Principal) Medallion Architecture

Challenges & Solutions

Problem 1 Sales orders, invoices, payments, and customer records were spread across four separate Zoho Books accounts, making it hard to see the full sales picture for the group.
Solution Built a Python-based extraction step that connects to each of the four Zoho Books accounts through the API and loads Sales Order, Invoice, Payment, and Customer data into a Bronze Delta layer in the Fabric Lakehouse, keeping the raw data traceable from the start.
Problem 2 Calculating outstanding dues and aging was difficult because one invoice could have multiple partial payments, and payments were not always linked clearly to the right invoice or sales order.
Solution Built invoice-to-payment matching logic in the Silver and Gold layers using PySpark and T-SQL, correctly linking each payment to its invoice and sales order. This made it possible to calculate accurate outstanding balances and aging buckets (0-30, 31-60, 61-90, 90+ days) for every customer.
Problem 3 Cash flow numbers looked incorrect at first because invoice dates and actual payment dates were different, causing timing mismatches between sales and collections.
Solution Built a cash flow model that clearly separates sales (invoice date) from actual cash received (payment date), and validated the numbers against Zoho Books reports until they matched consistently — giving an accurate, real-time cash flow view.
Problem 4 With four companies worth of sales orders, invoices, and payments combined, report performance started to slow down, and the dashboard needed to stay fast even as data volume grew.
Solution Optimized the Gold layer using Fabric Data Warehouse T-SQL and efficient DAX measures, and scheduled the full pipeline through a daily Fabric Data Pipeline — keeping the Sales Dashboard fast, accurate, and always up to date.

Measurable Results

4
Entities Unified
Combined Sales Orders, Invoices, Payments, and Customer data from four companies into one Fabric Lakehouse and one Power BI Sales Dashboard.
O2C
Full Sales Cycle Visibility
Sales teams can track every sale from order to invoice to payment, all in one connected view.
Daily
Automated Data Refresh
A scheduled Fabric Data Pipeline updates sales, payment, and outstanding data automatically every day.
100%
Accurate Outstanding & Aging
Outstanding customer balances and aging buckets are calculated automatically and match Zoho Books figures.

Implementation Highlights

  • Built a Python-based Zoho Books API integration pulling Sales Orders, Invoices, Payments, and Customer data from four companies.
  • Designed a Microsoft Fabric Lakehouse with Bronze, Silver, and Gold Delta table layers using Medallion architecture.
  • Built invoice-to-payment matching logic to calculate accurate outstanding balances and aging (0-30, 31-60, 61-90, 90+ days).
  • Built a cash flow model separating sales (invoice date) from actual cash collection (payment date).
  • Built the Gold layer using Fabric Data Warehouse T-SQL for fast, ready-to-use sales reporting tables.
  • Delivered a Power BI Sales Dashboard covering Sales Orders, Invoices, Payments, Customers, Cash Flow, Outstanding, and Aging.
  • Automated the full pipeline using a Fabric Data Pipeline with daily scheduled runs.
  • Validated all sales and outstanding figures against Zoho Books reports to ensure full accuracy.

What Our Clients Say

Verified reviews from Clutch.co — rated 4.7/5 across 8 client engagements.

★★★★★

"What stood out most about Iqra Technology was their genuine commitment to delivering quality work and their proactive approach throughout the project. It felt like working with a partner rather than just a vendor."

MJ
Mohd Jaukh
HR Leader, ThinkBiz Technology Pvt Ltd
5.0
Clutch
★★★★★

"Working with Iqra Technology was an excellent experience. They understood our requirements clearly, built the website, and completed the API integration smoothly. The end result has streamlined our operations."

AD
Anonymous Director
Financial Services Company, Australia
5.0
Clutch
★★★★★

"Iqra Technology played a key role in enhancing our internal digital workplace. The portal is now easy to navigate, visually clean, and aligned with our business needs."

AE
Anonymous Executive
DataHeights, Canada
5.0
Clutch
★★★★½

"They performed as promised, communicated regularly, and completed the project on time. All requested data was properly and securely migrated."

TE
Todd
Managing Partner, Emanuel Law Group
4.5
Clutch
★★★★½

"They're flexible and professional. If the company has a tight budget, they're the best company to work with. The team provides good value for money."

GI
Anonymous
Group IT Director, Investment Management, Dubai
4.5
Clutch
★★★★★

"The developer integrated seamlessly into our project, delivering high-quality dashboards that improved decision-making for our clients."

SB
Serge Barros Chaves
CEO, PRODEVA, Spain
5.0
Clutch
⭐ View all 8 verified reviews on Clutch.co →

FAQs

The cost depends on the number of Zoho Books entities integrated, sales data volume, and the complexity of invoice-to-payment matching and aging logic required. Iqra Technology offers flexible engagement models, with Microsoft Fabric and Power BI developers available on a FULL TIME / MONTHLY basis starting at $2,300/month ($14/hour). Contact Iqra Technology to discuss your requirements.
Choose a partner with proven experience in Microsoft Fabric Lakehouse architecture, Zoho Books API integration, order-to-cash reporting, and multi-company sales analytics. Iqra Technology provides consulting, implementation, training, and ongoing support for Fabric-based sales reporting solutions.
Yes. Microsoft Fabric can connect to the Zoho Books REST API using OAuth authentication for each business entity, extracting Sales Order, Invoice, Payment, and Customer data into a Lakehouse and consolidating it into a single Power BI Sales Dashboard.
Timelines vary based on the number of Zoho Books entities involved, data quality, and the complexity of invoice-to-payment matching required to calculate accurate outstanding and aging figures. Multi-company Fabric sales projects, like this one, are often delivered as ongoing engagements with phased releases.
Yes. The pipeline and dashboard can be customized with additional Zoho Books entities, custom aging buckets, company-wise or customer-wise breakdowns, and report-specific DAX measures to match your business requirements.
Outstanding dues and aging are calculated using invoice-to-payment matching logic built in the Silver and Gold layers, which links each payment to its correct invoice and sales order. This produces accurate outstanding balances split into aging buckets such as 0-30, 31-60, 61-90, and 90+ days.
The cash flow model in the Gold layer separates sales, based on invoice date, from actual cash received, based on payment date. This avoids timing mismatches and gives an accurate, real-time view of both revenue and collections.
Yes. Microsoft Fabric supports OAuth-based API authentication, Service Principal authentication, encryption, and role-based access control to protect sensitive sales, customer, and payment data as it moves from Zoho Books through the Lakehouse to Power BI.
Businesses gain a single, real-time view of sales performance and cash collection across multiple entities, faster visibility into overdue customer balances, and more accurate order-to-cash reporting without manual reconciliation.
Yes. Iqra Technology provides pipeline monitoring, troubleshooting, performance tuning, dashboard enhancements, and ongoing support to keep the daily Fabric Data Pipeline and Power BI Sales Dashboard running smoothly.
Yes. Iqra Technology develops and integrates AI solutions, including LLMs, AI agents, predictive analytics, and workflow automation, customized to your business processes and existing systems.
No. AI and LLMs can assist with pipeline design, invoice-matching logic, and DAX generation, but accurate order-to-cash and aging reporting requires expert data engineering, reconciliation, and validation by Microsoft Fabric and Power BI professionals.

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