Selected Insights & Results

Challenge

A major telecom OEM needed to understand the ROI of their promotional spending across multiple channels and regions, but lacked the analytical framework to measure effectiveness consistently.

Approach

Developed a comprehensive promotional analytics framework combining sales data, marketing spend, and market conditions. Built attribution models to isolate promotional impact from organic demand.

Results

• 23% improvement in marketing efficiency
• Identified underperforming channels to reallocate budget
• Framework adopted for ongoing measurement

Challenge

A European technology firm was considering a multi-million dollar expansion into new markets but lacked objective data on market size, competitive dynamics, and go-to-market requirements.

Approach

Conducted comprehensive market analysis including TAM/SAM/SOM sizing, competitive landscape mapping, channel analysis, and customer segmentation research across target geographies.

Results

• Clear go/no-go decision framework for leadership
• Prioritized market entry sequence by attractiveness
• Informed multi-million dollar investment strategy

Challenge

Legacy forecasting methods were producing significant errors, leading to both excess inventory costs and stockout-related lost sales. Leadership wanted to explore ML-based approaches but needed proof of value first.

Approach

Designed and executed a 6-week AI pilot using gradient boosting models on 2 years of historical data. Focused on a representative product category to prove the concept before scaling.

Results

• 15% improvement in forecast accuracy (MAPE)
• Clear ROI case for full-scale implementation
• Transitioned to internal data science team for scaling

Challenge

Customer success team was reactive to churn signals, often identifying at-risk accounts too late. They needed an early warning system to enable proactive intervention.

Approach

Built a propensity-to-churn model combining product usage data, support interactions, and contract data. Delivered actionable risk scores integrated into their CRM workflow.

Results

• Identified 80% of eventual churners 60+ days in advance
• Enabled proactive outreach to at-risk accounts
• Model integrated into existing CRM system

Challenge

Multiple data initiatives underway without alignment to business priorities. Data quality issues and lack of governance creating friction and distrust in analytics outputs.

Approach

Conducted comprehensive assessment of data maturity, stakeholder needs, and existing capabilities. Developed prioritized roadmap and governance framework tailored to organizational culture.

Results

• Executive-aligned 3-year data strategy roadmap
• Governance framework with clear ownership model
• Quick wins identified for immediate momentum