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
34%
Avg Budget Reallocation Gain

Why Your Business Is Making Expensive Decisions on Incomplete Data

Most businesses have data in six disconnected places, a marketing team that spends 20% of its time producing reports, and no way to see which channel is generating revenue.

Marketing analytics and reporting dashboard showing Power BI charts, Looker Studio data visualisation, and revenue attribution for businesses in India UK UAE USA
Revenue-Connected Reporting

Your Reports Show Activity, Not Revenue — So Budget Decisions Are Wrong

Most marketing reports show impressions, clicks, and sessions. None of these are revenue. A report full of green arrows can coexist with an empty pipeline because activity metrics have no relationship to buyer behaviour that generates deals.

Data Fragmentation
6

Data in Six Disconnected Platforms That Nobody Has Connected Into One View

The average business has marketing data in Google Analytics, Meta Business Manager, Google Ads, a CRM, an email platform, and an accounting system. Six different attribution models. Six different conversion definitions. Six incompatible numbers.

Reporting Automation
20%

Senior Analysts Spending 20% of Their Time Compiling Reports That Could Be Automated

Manual reporting is a tax on analytical talent. Every hour spent exporting, cleaning, formatting, and emailing a report is an hour not spent on the insight work that changes business decisions. Most reports are outdated before they arrive.

Customer Lifetime Value

Optimising for Cheapest First Conversion Instead of Highest Lifetime Value

A channel with high CAC but 3× lifetime value is your best channel. Without CLV analytics, you cut it and scale the cheap channel that churns at 80%. Most businesses track cost per acquisition and ignore the customer value that determines whether that cost was worthwhile.

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.

  • Stakeholder requirements mapping — every decision-maker, every metric they need
  • Cross-platform attribution connecting ad spend to CRM revenue
  • Executive summary to campaign-level drill-down in one dashboard
  • Full documentation — every metric definition and data source explained
  • Multi-touch attribution allocating revenue across every marketing touchpoint
  • True CAC including agency fees, ad spend, content, and tool costs
  • Customer lifetime value modelling by acquisition channel and segment
  • Full-funnel conversion mapping from first visit to closed deal
  • Python scripts pulling all platform APIs on schedule — zero manual export
  • SQL query library for every recurring analysis your team runs
  • Automated ETL pipelines keeping dashboards current without intervention
  • Report delivered to every stakeholder inbox before they arrive Monday morning
Delivers via 📊 Power BI 📈 Tableau 🔵 Looker Studio 🐍 Python 🗄️ SQL
📊
Revenue Intelligence Dashboard
Live — all sources connected
Dashboarding
🔄 Updated just now 9 sources connected

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 analytics team building Power BI and Looker Studio dashboards
01

Data Audit and 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 and 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 and 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 and Quality Assurance

Validate every metric against source data, test every filter and drill-down path, run the automated pipeline through a full cycle, and compare outputs against manually verified results.

05

Live Deployment and 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 and 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.

What Changes When Your Data Works for You

Typical outcomes from MarTech Union analytics engagements across India, UK, UAE, and USA. Individual results vary by data quality, source complexity, and programme scope.

More Likely to Be Profitable
Companies using data-driven marketing to guide budget decisions are 6× more likely to achieve year-over-year profitability
0%
Reporting Time Eliminated
Average marketing team spends 20% of working hours on manual report compilation — automated pipelines return this to strategy
0hrs
To First Unified Dashboard
For businesses with clean connected data sources, first working Looker Studio or Power BI dashboard delivered within 48 hours of data access
0%
Avg Budget Reallocation Gain
Businesses with accurate channel attribution reallocate 20–40% of marketing budget from underperforming to high-return channels within 90 days

Platforms We Connect Your Analytics System To

Every platform chosen for your specific market — GDPR-compliant Azure for UK, BigQuery for US enterprise, WhatsApp data for India and UAE. No proprietary lock-in.

BI Platforms
Power BI
Tableau
Looker Studio
Metabase
CRM & Revenue
HubSpot
Salesforce
Zoho CRM
GoHighLevel
Ad Platforms
Google Ads
Meta Ads
LinkedIn Ads
Google Analytics 4
Data Warehouse
Google BigQuery
Snowflake
Azure Synapse
Amazon Redshift
Automation
Python
SQL
Excel Power Query
dbt

Analytics Built for Your Market

Analytics requirements look completely different for a D2C brand in Bangalore than for a financial services firm in London or a property developer in Dubai. We build systems around your specific data sources and decision structure.

India
Unified analytics connecting Google, Meta, YouTube, Flipkart advertising, and regional platforms to CRM and revenue data. Power BI and Looker Studio dashboards with English and regional-language campaign visibility.
Looker Studio · Power BI · GA4 · Zoho CRM
UK
GDPR-compliant analytics architectures with correct data processing agreements, anonymisation where required, and Power BI integration with Microsoft 365 environments common in UK enterprise and professional services.
Power BI · Tableau · Azure · HubSpot · Salesforce
UAE
Analytics connecting property portals, WhatsApp enquiries, Google, and direct channels to deal outcomes in CRM. Arabic and English data handling with dashboards calibrated to high-value transaction buying cycles in Dubai and Abu Dhabi.
Looker Studio · Salesforce · Property Finder API
USA
Enterprise-grade analytics with BigQuery and Snowflake data warehouse integration, advanced SQL reporting pipelines, and Tableau and Power BI dashboards suited to US enterprise reporting standards and SOC 2 compliance considerations.
Tableau · Power BI · BigQuery · Snowflake · Salesforce
Why MarTech Union

Revenue-Connected Analytics That Drives Real Decisions

We combine dashboarding, marketing analytics, and reporting automation into one integrated programme managed by a team that understands both the data and the business problem it is solving.

Capability Generic Agency MarTech Union ✦ In-House Team
First working dashboard in 48 hours
Revenue-connected attribution modelling~
Power BI, Tableau & Looker Studio expertise~
GDPR-compliant analytics for UK~
Outcomes tracked from day one~
Automated reporting — zero manual effort~
Three analytics services in one programme
Four-market expertise (India/UK/UAE/USA)

From First Call to Live Dashboard in 48 Hours

Three steps. No long procurement cycles. A defined engagement with a defined output at each stage — so you know exactly what you are getting before you commit.

1

Book a Free Data Audit

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

Output: Prioritised analytics brief
2

Receive Your Analytics Blueprint

Within five business days we deliver a full data architecture document — data sources, attribution model, metric definitions, dashboard hierarchy, and a go-live timeline. You approve before any build begins.

Output: Technical blueprint & fixed scope
3

Go Live in 48 Hours to 30 Days

First dashboard live within 48 hours for clean sources, full multi-source system within 30 days. Automated reporting pipelines deployed and scheduled. Monthly optimisation programme so your analytics compounds in value as your business grows.

Output: Live dashboards + monthly reporting
Connected Services

Analytics Works Harder When Connected

Analytics is the measurement layer. These four services generate the data worth measuring — each one amplifies your analytics ROI when they work as a connected growth system.

avg. ROI when
services are combined
90dto measurable
pipeline impact
100%integrated across
your tech stack
First Dashboard in 48 Hours
GDPR-Compliant for UK
India · UK · UAE · USA
Revenue-Connected Reporting

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

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 situation, and show you exactly what a connected analytics system looks like for your business.

Serving businesses across India, UK, UAE and USA  ·  Free data audit  ·  No commitment required

Got Questions?
We Have Answers.

Everything you need to know about our Power BI, Tableau, and Looker Studio dashboarding, marketing analytics, and data automation services for India, UK, UAE, and USA.

12questions covered
48hfirst dashboard
97%client satisfaction
📊
Revenue-connected dashboardsNot activity reports
48hrs to first dashboardClean sources connected fast
🤖
Automated reporting pipelines20h/week saved on average
🔒
GDPR & compliance readyBuilt 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.