Data Analytics Consulting & Business Intelligence Services
I provide Data Analytics Consulting services that help organisations transform raw data into strategic insights. From KPI definition and scalable data models to interactive dashboards and performance optimisation, I support teams in building reliable, decision-ready analytics solutions.
Reporting and KPI definition
Defining business metrics clearly and building dashboards around them so everyone trusts the numbers.
Based on what needs to be measured, I define the right dimensions (time, product, region, channel), set benchmarks to track growth (YoY/MoM), and choose the best visualizations for fast, decision-ready insights.
Sales Performance Experience:
Sales KPIs measure revenue, growth and profitability across industries, Tracked over YTD, YoY, MoM trends, they drive better decision-making.
Other analysis:
Revenue Trends (YTD / YoY / MoM)
Sales Funnel & Conversion Rate
Pipeline Health & Velocity
Win/Loss Analysis
Sales Cycle Length (by segment / channel)
Customer Segmentation (RFM / CLV tiers)
Work example:
Revenue & Transactions Performance Dashboard
Built a Power BI dashboard to track revenue trends, transaction volume, discount impact, and payment success rates across time and customer accounts for faster performance monitoring and decision-making.
Product Performance Experience:
Product KPIs & Reporting focus on tracking how users adopt and engage with a product—measuring activation, retention, feature usage, and churn.
Other analysis:
Activation Rate & Time-to-Value (TTV)
Retention & Cohort Analysis (D1/D7/D30)
Feature Adoption & Usage
Churn Drivers & Risk Segmentation
User Journey / Funnel Drop-off (Signup → Key Action)
Experimentation (A/B Testing) & Impact
Work example:
Sales & Product Performance Dashboard (YoY Benchmarking)
Built a Power BI dashboard to identify top venues and best-performing products, using YoY heatmap comparisons and contribution analysis to highlight growth drivers and underperforming areas.
Note: The dashboard is intentionally blurred to protect confidential business data.
User Activity Tracking Dashboard (Product Analytics)
Built a dashboard to monitor user activity across multiple workout types (walking, running, cycling, swimming), tracking daily trends and total steps to support engagement insights and behavior analysis.
Operations Efficiency Experience:
Experience monitoring operational KPIs such as SLA, cycle time, bottlenecks, quality metrics, and cost-to-serve to improve efficiency and performance.
Other analysis:
SLA / On-time Performance
Cycle Time & Process Bottlenecks
Throughput & Capacity Utilization
Error Rate / Quality Metrics (rework, defects)
Cost-to-Serve / Cost per Transaction
Backlog & Workload Trends
Work example:
Power BI Operations Dashboard (Invoices & Appointments)
Built an interactive dashboard with drill-downs by clinic, animal type, and service category to monitor invoicing status, workflow conversion, and time-to-appointment metrics.
Marketing Performance experience:
Experience building marketing dashboards to track channel performance, CAC/CPA/ROAS, funnel conversion, and campaign trends—supporting budget optimization and ROI-driven decisions.
Other analysis:
Channel Performance & ROI (CAC / CPA / ROAS)
Funnel Conversion & Drop-off
Attribution & Assisted Conversions
Campaign Performance & Incrementality
Customer Acquisition Trends (YoY / MoM)
Retention by Channel (cohorts + quality of traffic)
Work example:
Media Audit Platform (SEE / THINK / DO KPIs):
Built an interactive media performance dashboard that audits campaigns using SEE/THINK/DO KPI layers, with drill-downs by creative, geography, inventory, and time to identify inefficiencies and optimization opportunities.
Human Resources Performance experience:
Experience building HR dashboards to track headcount, hiring and exits, turnover, absenteeism, and training hours—supporting workforce planning and retention decisions.
Other analysis:
Hiring Funnel Performance (applications → interviews → hires)
Time-to-Hire & Time-to-Fill
Employee Retention & Attrition Drivers
Performance & Productivity Metrics
Absenteeism & Attendance Trends
Workforce Planning (headcount, capacity, costs)
Finance Performance experience:
Experience building finance dashboards to track revenue, margins, profitability (EBITDA), cash flow, and receivables performance—supporting better forecasting, cost control, and financial decision-making.
Other analysis:
Budget vs Actuals (Variance Analysis)
Forecasting & Forecast Accuracy
Cash Flow & Runway Tracking
Revenue & Margin by Segment (product/customer/channel)
Cost Drivers & OPEX Breakdown
AR Aging & DSO (collections performance)
Data model & semantic model
Depending on the business needs, I design scalable data models and build a semantic layer where KPIs and business rules are defined once and reused across all dashboards, ensuring consistent reporting, faster development, and a single source of truth.
This also improves Power BI performance by reducing complexity, enabling faster refresh, and keeping dashboards responsive evenas data grows.
Vet clinic – snowflake schema:
Retail Product and Sales – star schema:
Key Skills
