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MarTech Union

Analytics and Reporting Services | India, UK, UAE, and USA

Analytics and Reporting That Tells You Exactly Where Your Revenue Is Coming From

Built for businesses in India, UK, UAE, and USA that want to stop guessing which marketing channels work and start making every budget and growth decision from real data.

More Likely to Be Profitable
20%
Reporting Time Eliminated
48hrs
To First Live Dashboard

Three Analytics Services. One Revenue Intelligence System.

Select a service area to see what each layer delivers. Every engagement covers all three because dashboards, analytics, and automation compound in value when integrated.

AI Chatbot Demo

Data Visualisation and Dashboarding

A dashboard is only as valuable as the decisions it enables. We build decision-support systems that show the specific metrics each stakeholder needs to make the next best decision, updated automatically, with no manual data preparation required.

  • Stakeholder requirements mapping - every decision-maker, every metric they need
  • Cross-platform attribution connecting ad spend to CRM deal data and revenue
  • Executive summary to campaign-level drill-down in one dashboard hierarchy
  • Looker Studio, Power BI, and Tableau builds with branded design and automated refresh
  • Full documentation - every metric definition, data source, and filter logic explained
Workflow Automation

Marketing and Business Analytics

Data without analysis is noise. We build marketing and business analytics programmes that identify which channels produce the best return, where your funnel loses qualified buyers, and which customer segments are worth the most over their lifetime.

  • Multi-touch attribution allocating revenue credit across every marketing touchpoint
  • True CAC including agency fees, ad spend, content, and tool costs - not just platform spend
  • Full-funnel conversion mapping from first visit to closed deal - find where qualified buyers exit
  • Customer lifetime value modelling by acquisition channel, product line, and segment
  • Cohort analysis, churn prediction, and audience segmentation for recurring revenue businesses
AI Custom Stack

Data Automation and Reporting

Every repeatable report your business produces on a weekly, monthly, or quarterly cycle is a candidate for automation. We build the infrastructure that delivers accurate, formatted, revenue-connected reports to every stakeholder on time, every time, without anyone touching a spreadsheet.

  • Python scripts pulling every ad platform and CRM API on schedule - zero manual export
  • SQL query library and ETL pipelines keeping dashboards current without intervention
  • Excel Power Query automation transforming existing workflows into one-click refreshes
  • Data validation and anomaly alerts flagging errors before reports are delivered
  • Stakeholder-specific report versions delivered to every inbox before Monday morning
Analytics Capabilities

Analytics That Connect Data to Revenue Decisions

Every analytics system connects your marketing spend to revenue outcome, replaces manual reporting with automation, and gives every stakeholder the metrics they need to make the next best decision.

Analytics Data Pipeline - Live & Processing
GA4 Ads CRM ETL Transform Power BI Looker

Power BI · Tableau · Looker Studio - Connected to Your Data Sources

Enterprise dashboarding platforms configured for your specific data sources, stakeholder hierarchy, and refresh requirements. Not generic templates - decision-support systems built around your actual metrics and the revenue outcomes each decision-maker needs to track.

Power BI Tableau Looker Studio Revenue-connected Auto-refresh
48h
First Dashboard Live
Clean data sources connected and first working Looker Studio dashboard delivered within 48 hours of data access.
Live & responding now
Attribution Engine

Multi-Touch Revenue Attribution

Revenue credit allocated across every marketing touchpoint from first awareness to conversion. True channel ROI - not last-click attribution that systematically overstates paid performance and undercounts organic.

Multi-touch True CAC Revenue-connected
Compliance Coverage

GDPR · CCPA · India DPDP

Analytics systems built to meet data protection requirements in every market we serve - GA4 consent mode, IP anonymisation, data retention policies, and GDPR-compliant data processing agreements for every analytics tool.

GDPR CCPA DPDP
Report Automation

Automated Report Delivery

Python automation delivers formatted reports to every stakeholder inbox on schedule - zero manual export, zero manual formatting, every Monday morning before they arrive at work.

Scheduled delivery Zero manual work

How We Build Your Analytics and Reporting System

Every engagement follows this six-step process, delivering first working dashboards within 48 hours for clean data sources and a fully integrated analytics system within 30 to 60 days.

MarTech Union team building AI automation systems
01

Data Audit & Requirements Discovery

Map every data source, assess quality and connection availability, and conduct stakeholder interviews to identify which decisions each person needs data to support.

02

Data Architecture & Connection Design

Design the data layer, define the attribution model that accurately allocates revenue across channels, and establish metric definitions applied consistently across every report.

03

Dashboard & Report Build

Build dashboards in Power BI, Tableau, or Looker Studio and automated report pipelines in Python, SQL, and Excel Power Query. Every build includes connections, calculated fields, filter logic, and branded design.

04

Data Validation & Quality Assurance

Test every conversation flow, workflow branch, and exception condition - accuracy benchmarking and edge-case coverage before any live deployment.

05

Live Deployment & Stakeholder Training

Deploy dashboards to production, connect live sources, schedule all automated report delivery, and train every stakeholder on reading, filtering, and interpreting their dashboard view.

06

Optimisation & Expansion

Monthly review of dashboard usage, metric accuracy, and stakeholder feedback. Identify next highest-value analytics expansion as your business grows and data sources change.

From Data Audit to Live Dashboard in 48 Hours

Three steps. No long procurement cycles. No open-ended pilots. A defined engagement with a defined output at each stage - first working dashboard within 48 hours for clean data sources, full analytics system within 30 days.

1
Step 01

Book a Free Data Audit

A 30-minute call with our analytics team. We review your current data sources, identify which dashboard or automation delivers the highest value for your specific situation, and outline what a connected analytics system looks like for your business.

Output: Data source assessment and analytics roadmap
2
Step 02

Receive Your Analytics Blueprint

Full technical specification delivered within 3 business days - data source connections, dashboard architecture, metric definitions, attribution model design, and automated reporting schedule. You approve before any build begins.

Output: Full dashboard specification and metric framework
3
Step 03

First Dashboard Live in 48 Hours

First working dashboard live within 48 hours for clean data sources. Full analytics system - dashboards, automation pipelines, and scheduled reporting - delivered within 30 days with complete documentation and stakeholder training.

Output: Live dashboards + automated reporting + full documentation

Platforms We Build Your Analytics Stack On

Every tool chosen for your specific data sources, team capability, and reporting requirements. No proprietary lock-in - your dashboards and data pipelines remain yours.

Power BI
Power BI
Tableau
Looker Studio
Metabase
Metabase
Grafana
BQ
BigQuery
Snowflake
Snowflake
Google Ads
Meta Ads
Meta Ads
LinkedIn Ads
LinkedIn Ads
Google Analytics 4
Google Analytics 4
Search Console
TikTok Ads
Microsoft Ads
Microsoft Ads
Python
Python
SQL
SQL
dbt
DBT (Data Build Tool)
Apache Airflow
Apache Airflow
Google Sheets
Google Sheets
API
Custom API
HubSpot
HubSpot
Salesforce
Zoho CRM
Zoho CRM
GoHighLevel
GoHighLevel
Pipedrive
Pipedrive
Freshworks
Freshworks
MS Dynamics
MS Dynamics
WhatsApp
Slack
Twilio SMS
MS Teams
MS Teams
Telegram
Telegram
SendGrid

Analytics Works Best Connected

Dashboards, analytics, and automation compound in value when integrated. Each layer amplifies the others - connected data sources produce better dashboards, better dashboards enable better analysis, and automated reporting delivers that analysis to every decision-maker on time.

avg. ROI when
all three layers connect
48h to first live
dashboard
100% integrated across
your tech stack
First Dashboard in 48 Hours
Enterprise-Grade Security
India · UK · UAE · USA
Measurable ROI

Ready to Build an Analytics System That Tells You Exactly Where Your Revenue Is Coming From?

Most businesses across India, UK, UAE, and USA are making marketing budget decisions based on platform-reported metrics that have no direct relationship to revenue, compiling reports manually that could be automated, and operating without a unified view of which channels generate their best customers. Before you make another budget decision on incomplete data or spend another week compiling a report manually, book a free data audit with MarTech Union. In 30 minutes we will review your current data sources, identify the highest-value dashboard or automation for your specific situation, and show you exactly what a connected analytics system looks like for your business. No pitch decks. No generic demos. A specific plan built around your data and your decisions.

Serving businesses across India, USA, UAE and the UK  ·  Free discovery call  ·  No commitment required

Got Questions?
We Have Answers.

Everything you need to know about our Data Visualisation Dashboards, Marketing Analytics, and Reporting Automation services for businesses across India, UK, USA & UAE.

12 questions covered
2h avg. response time
98% client satisfaction
Data-first answers No jargon. No vague promises.
First dashboard in 48 hours For clean connected data sources
Measurable ROI tracked Avg. 3.5× ROI within 12 months
GDPR & compliance ready Built for India, UK, UAE & USA
What is data visualisation and why does my business need it?
Data visualisation is the process of presenting data in graphical or dashboard format so patterns, trends, and anomalies are immediately visible to decision-makers without requiring them to analyse raw numbers. Businesses need data visualisation because the volume of data generated by modern marketing and sales operations exceeds what any human can analyse manually. A well-built dashboard reduces decision time from days to minutes by presenting the right metric to the right person in the right format. MarTech Union builds data visualisation dashboards in Power BI, Tableau, and Looker Studio for businesses in India, UK, UAE, and USA.
What is the difference between Power BI, Tableau, and Looker Studio?
Looker Studio is Google's free dashboarding tool, best suited for businesses using Google Analytics 4, Google Ads, and Meta data with straightforward reporting needs and no existing Microsoft infrastructure. Power BI is Microsoft's enterprise BI platform, best suited for businesses using Microsoft 365, Azure, and SQL Server, with complex data modelling and row-level security requirements. Tableau is best suited for organisations with analytical teams needing advanced calculation, multi-source data blending, and embedded analytics in external applications. MarTech Union recommends the right platform for your specific data sources, team capability, and budget.
How long does it take to build a marketing analytics dashboard?
For businesses with clean, connected data sources including Google Analytics 4, Google Ads, and Meta Ads, MarTech Union delivers a first working Looker Studio dashboard within 48 hours of data access. Standard multi-source dashboards connecting CRM, ad platforms, and website analytics take 5 to 10 business days. Complex Power BI or Tableau builds with data warehouse integration, advanced calculated fields, and enterprise security take 2 to 4 weeks.
What is ROI tracking in marketing analytics?
ROI tracking in marketing analytics is the process of connecting marketing investment to revenue outcome for each channel, campaign, and audience segment. Accurate ROI tracking requires connecting ad platform spend data to CRM deal data and revenue system data, applying consistent attribution logic, and calculating true cost per acquisition and revenue per channel using total investment not just ad spend. MarTech Union builds multi-touch attribution models for businesses in India, UK, UAE, and USA that give accurate channel ROI rather than the platform-reported metrics that systematically overcount conversions.
What is marketing funnel analysis?
Marketing funnel analysis tracks the conversion rate at every stage of the buyer journey from first visit to closed deal. It identifies where the highest volume of qualified buyers exits the funnel without converting, enabling targeted improvement of the specific stage that will have the greatest impact on revenue. Common funnel stages tracked include visit to lead, lead to MQL, MQL to SQL, SQL to proposal, and proposal to close. MarTech Union builds funnel analytics for businesses across India, UK, UAE, and USA that connect marketing and sales data into a single funnel view.
What is customer lifetime value and how is it calculated?
Customer lifetime value is the total revenue a business expects to generate from a customer over the entire duration of their relationship, minus the cost of acquiring and serving them. It is calculated by multiplying average purchase value by purchase frequency by average customer lifespan. For subscription businesses, CLV is calculated from monthly recurring revenue and churn rate. MarTech Union builds customer analytics systems that calculate CLV by acquisition channel, product line, and customer segment, enabling marketing teams to allocate budget toward channels that produce the highest-value customers rather than the cheapest initial conversions.
What is data automation in reporting?
Data automation in reporting is the use of Python scripts, SQL queries, and ETL pipelines to collect, clean, transform, and deliver reports on a scheduled basis without manual intervention. An automated reporting system replaces the manual process of exporting data from multiple platforms, cleaning and formatting it in Excel, and distributing it to stakeholders. The automated version runs on schedule, applies consistent logic, validates data quality, and delivers formatted reports to every stakeholder inbox automatically. MarTech Union builds reporting automation using Python, SQL, Excel Power Query, and BI platform schedulers for businesses in India, UK, UAE, and USA.
How does Python help with marketing reporting?
Python is the most widely used language for marketing data automation because it connects directly to every major ad platform API, CRM API, and analytics API, processes any data format, performs complex statistical analysis, and produces formatted output in Excel, PDF, HTML, or Slack without manual intervention. A Python reporting automation script can pull Google Ads, Meta Ads, Google Analytics, and HubSpot data every Monday morning, calculate blended cost per acquisition, format the result in your standard report template, and email it to every stakeholder before they arrive at work. MarTech Union builds Python reporting automations for businesses in India, UK, UAE, and USA.
What is SQL used for in analytics and reporting?
SQL is the standard language for querying databases and building the data transformation logic that converts raw transactional data into analysis-ready reporting tables. In a marketing analytics context, SQL is used to join CRM data to marketing attribution data, calculate custom metrics that platform tools do not compute natively, build the data models that power Power BI and Tableau dashboards, and automate the ETL processes that keep dashboards current. MarTech Union builds SQL query libraries, reporting views, and ETL pipelines for businesses running analytics on relational databases, BigQuery, or Snowflake.
What is GDPR-compliant analytics for UK businesses?
GDPR-compliant analytics for UK businesses requires that personal data is collected with proper consent, processed only for stated purposes, stored for the minimum necessary period, and handled under a valid legal basis. In practice, this means implementing Google Analytics 4 with IP anonymisation and consent mode, configuring CRM data retention policies, establishing data processing agreements with every analytics tool, and documenting data flows for GDPR compliance review. MarTech Union builds analytics systems for UK businesses that meet GDPR requirements without sacrificing insight quality needed for revenue-connected reporting.
How does MarTech Union connect CRM data to marketing analytics dashboards?
MarTech Union connects CRM data to marketing analytics dashboards through direct API connections where available, including native HubSpot, Salesforce, and Zoho connectors for Looker Studio and Power BI, and Python-based extraction for CRMs without native BI connectors. Once CRM data is connected, deal stage data, revenue values, and lead source fields are joined to marketing source data in the dashboard data model, enabling every dashboard metric to be filtered by the revenue outcome each lead or customer ultimately produced.
Why choose MarTech Union for analytics and reporting in India, UK, UAE, and USA?
MarTech Union builds analytics and reporting systems that connect every marketing and sales data source into a unified, automated, revenue-connected intelligence system for businesses in India, UK, UAE, and USA. We deliver first working dashboards within 48 hours for clean data sources and automated reporting pipelines within 30 days. We work across Power BI, Tableau, and Looker Studio and build automation in Python, SQL, and Excel Power Query. Book a free data audit at martechunion.com/bookings/ to see exactly what a connected analytics system looks like for your business and your data.