Predictive Analytics Dashboard for Sales
Increasing sales team efficiency with real-time data insights
Key Result 1
22% increase in sales team productivity
Key Result 2
18% improvement in forecast accuracy
Key Result 3
15% reduction in sales cycle length
Project Context
Industry
Retail & E-commerce
Problem Domain
Sales & Revenue Operations
My Contribution
Analytics Strategy, Dashboard Design, User Research
Technologies & Skills
Overview
The sales team lacked visibility into real-time performance data and relied on outdated reports for decision-making. I led the development of a predictive analytics dashboard that provided actionable insights and improved forecast accuracy.
The Challenge
Sales managers were spending 15+ hours weekly compiling reports from multiple sources, resulting in delayed decisions and missed opportunities. Forecasts were often inaccurate, leading to inventory and staffing issues.
My Approach
- 1
Conducted interviews with sales representatives and managers to understand their workflow and pain points
- 2
Mapped the existing data sources and identified integration requirements
- 3
Created detailed wireframes and prototypes based on user feedback
- 4
Worked with data engineers to build a unified data pipeline
- 5
Implemented an iterative development process with regular user testing
The Solution
We developed a real-time analytics dashboard that consolidated data from multiple sources, providing sales teams with a unified view of their performance metrics. The dashboard included predictive analytics features that forecasted sales trends, identified at-risk opportunities, and recommended next actions based on historical patterns.
The main dashboard view with real-time performance metrics
The mobile-optimized version for on-the-go access
Results & Impact
22% increase in sales team productivity
18% improvement in forecast accuracy
15% reduction in sales cycle length
4.8/5 user satisfaction rating
$1.2M additional revenue attributed to improved opportunity identification
"This dashboard has completely transformed how we operate. We now have instant access to the insights we need, allowing us to make better decisions faster. The predictive features have been particularly valuable for prioritizing our efforts."
VP of Sales
Global Retail Company
Key Learnings
The project reinforced the importance of involving end-users throughout the development process. By conducting regular feedback sessions with the sales team, we were able to identify and address usability issues early, resulting in higher adoption rates and user satisfaction.