• Industries & Customers

Industry Context

Modern marketing teams operate across a complex ecosystem of tools, Web Analytics, Ad Platforms, and Event Management systems. When data remains siloed in these separate platforms, marketing leaders struggle to see the “big picture.” This fragmentation leads to manual reporting delays, inconsistent metrics, and an inability to optimize spend effectively based on cross-channel performance. 

Problem Statement

Why the Marketing Team Couldn’t Scale Their Strategy 

The "Siloed" Customer Journey

The team faced a lack of centralized visibility, with critical data scattered across Marketo, VantagePoint, GA4, LinkedIn, and ZoomInfo. Consolidating this data manually was impossible, resulting in a fragmented view of the customer journey. The team could see clicks in one system and leads in another, but could not connect the two to understand true campaign influence.

Inconsistent Metrics & Attribution Gaps

Manual processes led to inconsistencies in how "Leads," "MQLs" (Marketing Qualified Leads), and "Conversions" were defined across different platforms. Without a unified data model, the team struggled with attribution—unable to determine which specific touchpoint (Webinar, LinkedIn Ad, or Email) deserved credit for generating a lead.

Lead Performance & Funnel Blind Spots

The team lacked the ability to track lead velocity and conversion rates across core channels—Conference events, seminars, website form fills, and webinars. They could not effectively analyze these metrics on a Month-over-Month (MoM) or Year-over-Year (YoY) basis to identify seasonal trends or long-term growth patterns.

Inability to Calculate True ROI/ROAS

Without unified reporting, identifying high-performing channels was based on gut feeling rather than data. Calculating the Cost Per Lead (CPL) relative to event spend was difficult and often delayed. This lack of financial clarity stalled strategic growth decisions, as the leadership team could not confidently reallocate budget to high-performing campaigns in real-time.

Enterprise Marketing Analytics Platform

Our dashboard established a scalable data pipeline using Azure Data Factory and Azure SQL Database to automate the Extraction, Transformation, and Loading (ETL) processes. This unified architecture acts as a single source of truth, ensuring marketing data is refreshed in near real-time. 

Marketing Performance

Marketing Performance Intelligence

Real-time dashboards unify marketing data across campaigns, channels, and events to deliver a complete view of marketing performance. By integrating multiple platforms into a centralized analytics environment, the solution enables teams to track lead generation trends, campaign ROI, and channel effectiveness while eliminating manual reporting and enabling faster strategic decisions.

Comprehensive Marketing Features

The platform delivers a 360-degree view of marketing performance:

  • Multi-Source Integration: Seamless ingestion from Marketo, VantagePoint, GA4 (Google Ads), LinkedIn, and ZoomInfo. 
  • Time-Intelligence Analysis: Automated MoM, QoQ, and YoY calculations for trend spotting. 
  • Lead Volume & Cost Analysis: Tracking of lead volume trends alongside Cost Per Lead (CPL) and event spend. 
  • Channel Performance: Deep dives into top-performing events, webinars, training courses, and website form fills. 
  • Demographic Segmentation: Form fill analysis broken down by Region, Industry, and Source. 
  • Dynamic Filtering: Capability to slice data by Timeframe, Pillar, Region, Source, and Channel. 

Shaping Operations

The Marketing Power BI Dashboard streamlines operations by providing a centralized governance framework and automated insights. 

6+

Platforms Integrated into One View 

Real-Time

Campaign Performance Tracking 

Automated

ETL Pipeline via Azure Data Factory

Scalable

Architecture for Future Expansion 

Key Features

  • Unified Data Architecture: A robust Azure-based backend that consolidates data from six key sources for consistent analysis. 
  • Automated ETL Processes: Azure Data Factory automates data extraction and transformation, removing manual intervention. 
  • Governance Framework: Implementation of standardized naming conventions and data validation rules ensures high data quality. 
  • Interactive Visualizations: Dynamic Power BI dashboards featuring interactive visuals for monitoring conversion rates and audience engagement. 
  • Role-Based Security: Row-Level Security ensures sensitive marketing data is accessible only to authorized stakeholders. 
  • Scalability: The architecture is designed to easily accept new data sources as the marketing stack expands. 

Impact

The solution delivered immediate strategic value to the marketing department: 

Centralized Campaign Tracking

Provided a single pane of glass for assessing campaign effectiveness across all digital and physical channels.

Improved Decision-Making

Interactive insights allowed the team to identify high-performing channels and optimize spend in real-time.

Eliminated Manual Reporting:

Automated the reporting lifecycle, freeing up the team to focus on strategy rather than data preparation

Actionable Growth Insights

Enabled the team to pivot strategies quickly based on granular lead performance and demographic data.

Solution Architecture

A scalable, cloud-native architecture designed for high-volume marketing data integration. 

Azure SQL Database

The central repository storing transformed and standardized marketing data.

Azure Data Factory (ADF)

The central repository storing transformed and standardized marketing data.

Power BI Desktop

Used for advanced Data Modelling and creating complex DAX measures for time-intelligence.

Source Integration

Direct connectors to Marketo, GA4, LinkedIn, ZoomInfo, and VantagePoint.

Technology Stack

A modern Azure data stack architected for marketing intelligence. 

Power BI Desktop & Services

For Data Modelling, Visualization, and secure distribution. 

Azure Data Factory

For building the automated ETL Pipeline.

Azure SQL Server

For scalable, centralized data storage. 

Power Query

For data transformation logic. 

Integration Points

Marketo, VantagePoint, GA4, LinkedIn, ZoomInfo. 

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