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Unified Data Lake and Analytics Platform for Enhanced Marketing Effectiveness
  1. case
  2. Unified Data Lake and Analytics Platform for Enhanced Marketing Effectiveness

Unified Data Lake and Analytics Platform for Enhanced Marketing Effectiveness

sphereinc.com
Advertising & marketing
Financial services
Retail

Identifying Data Silos and Inconsistent Marketing Attribution Challenges

The client faces difficulties in demonstrating the effectiveness of their marketing campaigns and accurately attributing results due to fragmented data across multiple platforms. They struggle to correlate campaign activities with sales and financial outcomes, hindering their ability to optimize marketing spend and provide clear value to clients. Previous efforts to unify data sources are hampered by siloed systems and inconsistent data integration, impeding timely insights.

About the Client

A mid-sized marketing agency specializing in digital campaigns for various clients, seeking to improve campaign attribution, client reporting, and marketing ROI through integrated analytics.

Goals for Improving Data Integration and Marketing ROI

  • Develop a centralized data storage solution to consolidate marketing, sales, and financial data from disparate sources.
  • Create an internal analytics dashboard to visualize campaign effectiveness, website traffic, and sales data in real time.
  • Enable detailed attribution modeling to link marketing campaigns directly to sales and revenue outcomes.
  • Increase marketing campaign ROI by providing actionable insights, targeting improvements, and performance monitoring.
  • Achieve faster, iterative data analysis capabilities to support strategic decision-making and client reporting.

Core Functional Capabilities for the Analytics Platform

  • Data ingestion processes to load data from CRM, campaign management tools, sales databases, and financial systems.
  • A scalable data storage architecture supporting high-volume data and rapid querying.
  • An internal analytics dashboard providing visualizations of campaign performance, website analytics, and sales data.
  • Attribution modeling tools to connect marketing activities with sales outcomes.
  • Automated KPI tracking and report generation for client and internal review.
  • Data normalization and cleansing routines to ensure consistent, high-quality datasets.

Preferred Technologies and Architectural Approaches

Cloud-based data lake architecture
Use of modern data ingestion and ETL tools
Analytics and BI tools (e.g., visualization dashboards)

External System Integrations Needed

  • CRM systems for customer and campaign data
  • Marketing automation and campaign management tools
  • Sales and financial databases
  • Website traffic and analytics platforms

Key Non-Functional System Requirements

  • Support for high scalability to handle increasing data volume
  • Real-time or near-real-time data processing and dashboard updates
  • Data security and compliance with privacy standards
  • Robust data quality assurance and error handling
  • System availability and reliability for continuous operation

Projected Business Benefits of the Data Lake and Analytics Platform

The implementation is expected to significantly enhance the client’s ability to demonstrate marketing campaign effectiveness, leading to increased client satisfaction. It aims to improve marketing ROI from an average of 28% to over 41%, enable rapid insights for strategic decision-making, reduce data silos, and uncover actionable opportunities such as cart abandonment mitigation, ultimately resulting in higher sales, increased website traffic, and more efficient marketing investments.

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