Case study Business Intelligence & Automation

Unified Business Dashboard Through Multi-Platform Integration

Created automated integration pipeline consolidating e-commerce, CRM, and quoting systems into unified real-time dashboard, eliminating 10+ hours weekly of manual data compilation.

Explore the project

Client: UK E-Commerce Retailer
Industry: E-Commerce
Timeline: 4 weeks
Project date: July 2024
Team: 2 Engineers

10+ hrs/weekTime Saved

Real-TimeData Latency

12 WorkflowsAutomated

100%Accuracy

Reported project results · Specific to the original project scope. See results and context below.

The brief

Project overview

Multi-Platform Integration & Real-Time Analytics Dashboard

This account is restored from Actinode’s original project portfolio. Results describe that project and are not a guarantee for another engagement. “Ready” or compliance-related terminology describes the stated project scope, not an independent certification.

Business context

A growing UK retailer struggled with fragmented systems and manual data management:

Disconnected Platforms: Using separate systems for e-commerce, CRM, and quoting with no unified visibility
Manual Data Compilation: Operations manager spending 10+ hours weekly copying data between systems
Delayed Business Insights: Decisions based on week-old data due to manual reporting lag
Human Error: Manual data entry causing inventory mismatches and missed customer follow-ups
No Real-Time Visibility: Unable to see current sales, pipeline status, or quotes in single view
Reporting Bottleneck: Executive requests for ad-hoc reports requiring hours of manual work
Scaling Limitations: Manual process couldn't support 40% year-over-year growth trajectory

Requirements and constraints

Budget-conscious automated business intelligence solution:

Centralized Dashboard: Single unified view of all business data from multiple platforms
Real-Time Updates: Automatic data synchronization with zero manual intervention
Custom Analytics: Capability to create reports and visualizations from unified data
Familiar Platform: Preference for spreadsheet-based solution team already knows
No-Code Approach: Non-technical team must maintain and modify independently
Cost-Effective: Budget-conscious solution avoiding expensive enterprise BI tools
Quick Implementation: Operational within 4 weeks to support quarterly planning

Original challenge

The project required creative integration of three distinct platforms with different data structures, update frequencies, and field naming conventions. Each platform had its own authentication requirements and rate limits. The main challenge was linking records across systems: matching customers between platforms, handling duplicates, and standardizing values. Additionally, the solution needed to remain maintainable by non-technical staff within budget constraints.

Solution and contribution

Designed and implemented comprehensive integration ecosystem over 4 weeks:

Week 1: Requirements & Data Architecture

Documented all required data points from each platform
Created unified data schema design
Identified customer email as common identifier for record linking
Designed structure with separate tabs for orders, CRM deals, quotes, unified customers, and analytics dashboard

Week 2: Integration Workflows

Configured automated workflows connecting all three platforms
Set up e-commerce triggers for new orders, status updates, customers, inventory changes, and refunds
Implemented CRM triggers for new deals, stage changes, wins, and activities
Created quote system triggers for creation, sending, and acceptance events
Established data mapping between platform-specific fields and standardized columns
Added automatic customer record linking based on email addresses

Week 3: Analytics & Calculations

Built formulas for daily, weekly, and monthly revenue summaries
Created calculations for quote conversion rates and average order values
Implemented customer lifetime value tracking
Developed sales pipeline velocity metrics
Added inventory turnover rate calculations
Created pivot tables for multi-dimensional analysis
Built charts and graphs for visual analytics
Implemented conditional formatting for alerts on low stock and overdue quotes

Week 4: Dashboard & Training

Created dashboard with key metrics and visualizations showing today's revenue versus target, pipeline value by stage, top products, quote conversion funnel, and customer acquisition trends
Tested all integrations with live production data
Refined data mappings based on edge cases discovered during testing
Trained operations team on reading dashboard, creating custom reports, making basic modifications, and troubleshooting common issues
Documented all workflows, data mappings, and maintenance procedures

Technical capabilities

12 automated workflows connecting three business platforms

Real-time data synchronization to centralized dashboard

Unified customer view across all systems

Automated daily, weekly, and monthly revenue reporting

Sales pipeline analytics with conversion tracking

Inventory monitoring with low-stock alerts

Quote-to-order conversion funnel analysis

Custom dashboard with interactive charts

No-code solution maintainable by non-technical team

Automated email notifications for critical business events

The outcome

Results & business impact

Eliminated 10+ hours weekly of manual data compilation and report generation
Enabled real-time business decisions instead of relying on week-old data
Removed 100% of manual data entry errors causing operational issues
Provided executive team instant access to daily revenue, pipeline, and quote metrics
Accelerated customer inquiry response time by 5x with unified data view
Created scalable automated process supporting 40% growth without additional headcount
Delivered cost-effective solution at 10% the cost of enterprise BI alternatives

Interpret figures with the original scope and baseline above. Where the account does not specify a measurement window, sample or denominator, do not infer one; discuss the relevant evidence and comparable workload with us before using a result to estimate your project.

What this means for the business

Strategic Decision Making: Real-time data enables proactive planning instead of reactive responses

Operations Efficiency: Operations manager freed from data compilation to focus on customer service

Revenue Growth: Improved pipeline visibility enhanced quote follow-up increasing conversion by 18%

Inventory Optimization: Real-time monitoring reduced stockouts by 60% and overstock by 35%

Cost Savings: 520 EUR monthly labor savings versus 200 EUR integration cost equals 320 EUR net monthly benefit

Business Scalability: Automated system supports growth without proportional administrative overhead increase

Team Morale: Elimination of tedious manual work significantly improved job satisfaction

Conclusion

This integration demonstrated that sophisticated business intelligence doesn't require expensive enterprise software. By leveraging automation platforms and familiar spreadsheet tools, we delivered a cost-effective, maintainable solution providing real-time insights while saving over 10 hours weekly of manual work.