Data Analytics & Consulting Services
1.
Global Business Insights Engine for MedTech Growth Strategy
Background
A leading MedTech organization needed a sharper view of its competitive landscape. With thousands of SKUs and diverse commercial signals across divisions, leaders struggled to align strategy, forecasting, and investor communications.
Problem
Insights were scattered across functions, making it difficult to answer critical questions such as:
- Which markets are growing or contracting?
- How are competitors shifting share?
- Where are product-level accelerators or risks emerging?
This led to delayed decisions and an inconsistent understanding of the US MedTech market.
What We Achieved
We built a centralized analytics hub synthesizing commercial, market, and performance data across 10 divisions. The engine delivered standardized insights for long-range planning, market outlook, investor relations, and new product strategies.
Impact
Market Coverage
Expanded to 20–30% of the US hospital market
Growth Opportunities
Key pockets identified, e.g., Wound Closure +6.2%, Energy +5.4%
Financial Planning
$54M incremental sales forecast vs previous year
Competitive Insights
Improved visibility into market share movements
A single, trusted intelligence layer enabling leadership to act boldly with market-backed clarity.
Who Will Benefit
Bring clarity to complex markets—unlock your competitive edge with unified analytics.
2.
Omnichannel Sales & Category Analytics for Retail Acceleration
Background
Retail teams needed a clearer understanding of SKU performance, opportunity segments, and drivers of yearly growth or decline across both brick-and-mortar and digital channels.
Problem
Insights were inconsistent, scattered, and reactive. Category and sales managers lacked a unified way to compare actuals vs forecasts, model scenarios, or size opportunities.
What We Achieved
We delivered an insight-rich dashboard ecosystem that consolidated omnichannel performance into intuitive views—SKU trends, goal tracking, decomposition analysis, and scenario modelling.
Impact
Decision-Making
Faster, more confident actions for category and sales teams
Alignment
Stronger coordination between planning and execution
Growth Insights
Clear visibility into drivers and at-risk areas
A connected analytics foundation that empowers teams to act quickly with a holistic understanding of performance
Who Will Benefit
Turn your retail insights into real-time competitive advantage.
3.
Real-Time Market Share & Competitive Performance Intelligence
Background
Brands operating across multiple retailers needed a sharper, faster way to understand share movement, promotional impact, and momentum across categories.
Problem
Teams were juggling multiple data sources, leading to delays, inconsistent views, and heavy manual analysis. Identifying drivers of market shifts was slow and error-prone.
What We Achieved
We created a cross-retailer analytics platform that unified syndicated data, automated attribution logic, and introduced metrics like TDP, promotion impact, and momentum indicators.
Impact
Time Savings
3,700+ hours saved annually through analytics and process improvements
Process Efficiency
Streamlined internal workflows for faster outcomes
Scalability
Expanded from 1 to 5 clients using a repeatable template
Competitive Insights
Enhanced understanding of brand strengths versus competitors
A repeatable, scalable framework that transforms market data into fast, actionable competitive intelligence.
Who Will Benefit
Stay ahead of competition by unlocking real-time market share intelligence
4.
Integrated Performance Management for Supply Chain Excellence
Background
Supply chain leaders needed a single, consistent view of KPIs across markets and product lines to guide reviews and decision-making.
Problem
KPI reporting was scattered across documents, manual commentary processes slowed reviews, and lack of alignment created inconsistent messaging.
What We Achieved
We built a unified KPI ecosystem consolidating metrics into a single dashboard, automated commentary capture, and centralized review documentation.
Impact
Meeting Readiness
40–60% improvement in preparation and insights
Data Centralization
Single source of truth for supply chain KPIs
Workflow Automation
Eliminated manual processes for faster, insight-driven decisions
A streamlined performance engine turning fragmented reports into cohesive, decision-ready insights.
Who Will Benefit
Elevate your operational reviews—unlock unified KPI visibility.
5.
Production–Sales–Inventory Analytics for Reliable Inventory Decisions
Background
Discrepancies in daily inventory calculations were disrupting planning and skewing decision-making.
Problem
Complex logic breakdowns, data inconsistencies, and BI tool limitations led to inaccurate row-level metrics such as DOS, DOC, and Gross Inventory.
What We Achieved
We developed a robust logic and validation layer—automating calculations, adding daily quality checks, and triggering workflows only when data passed integrity rules.
Impact
Inventory Accuracy
100% accurate computations
Automation
Eliminated manual validation
Planning Reliability
Enhanced trust in weekly cycles
A dependable analytics spine that strengthens supply chain responsiveness and strategic planning.
Who Will Benefit
Build inventory clarity that scales by strengthening your analytics foundation.
6.
Automated Manufacturing Insights & Shift-Level Visibility
Background
Manufacturing teams relied heavily on manual calculations and fragmented reporting to track OEE and shift performance, slowing down RCA and daily operations.
Problem
Lack of real-time KPI visibility led to delays in identifying bottlenecks, inefficiencies in handovers, and inconsistent performance reporting.
What We Achieved
We automated OEE metrics through direct historian data ingestion, created shift-level dashboards, and enabled on-screen edits for faster RCA and transparency across teams.
Impact
Root-Cause Analysis
10%+ faster stoppage investigations
Reporting Efficiency
Eliminated manual reporting and handovers
Performance Visibility
Unified multi-shift view of plant operations
A real-time performance layer enhancing agility, productivity, and operational reliability.
Who Will Benefit
Unlock real-time manufacturing intelligence—transform your plant visibility.
7.
Automated MOQ Optimization & Harmonized Logic
Background
Multiple plants and categories were using differing logic for MOQ reporting, resulting in confusion, manual work, and inconsistent insights.
Problem
Data duplication, scattered sources, and inconsistent calculation rules made it difficult to track where MOQ adjustments could unlock value.
What We Achieved
We unified logic across the board—automating data pipelines and standardizing High–Medium–Low classifications, target mappings, and duplicate resolution for plant-level data.
Impact
Manual Effort Reduction
Significantly lowered manual work
Decision-Making
Faster and more consistent across teams
KPI Standardization
Harmonized logic across categories
A clean, aligned, automated reporting engine that elevates supply chain optimization decisions.
Who Will Benefit
Optimize your MOQ decisions with clarity and speed—start your transformation.
8.
Rolling DBNR Analytics for Advanced Planning Accuracy
Background
Planning teams relied on DBNR metrics to guide decisions, but complex rolling calculations were difficult to maintain in traditional BI tools
Problem
Duplicated plant values, inconsistent logic, and tool limitations created unreliable DBNR outputs—slowing down planning cycles.
What We Achieved
We engineered automated rolling 13- and 52-week DBNR calculations supported by a unified data blend and intelligent duplicate correction.
Impact
Analytics Speed
70% faster turnaround
Metric Consistency
Reliable DBNR metrics across products and plants
Automation
Complete elimination of manual calculations
A precision analytics capability that strengthens forecasting confidence and decision speed.
Who Will Benefit
Power your planning with reliable rolling insights—let’s build your DBNR engine.