Empowering businesses with their data


Project Portfolio
At Integ Analytics, we offer cutting-edge data analytics and visualization services to help businesses unlock the full potential of their data. Our dashboards aren't just for looks; we create content that provides actionable insights and drives informed decision-making. View sample dashboard here (desktop recommended). Want a complementary demo dashboard with your company's data? Submit a request to find out how!


Optimizing data utilization - Health & Wellness Analytics
Objective: A health and wellness company needed to gain a deeper understanding of their customer base to enhance member engagement and drive business growth.
Approach: We managed the project end-to-end, from data collection and transformation to advanced analysis and visualization. Using a combination of Python for data processing and Tableau for interactive dashboard creation, we uncovered key insights related to member activity patterns, service preferences, and retention drivers.
Results:
✔️ Delivered actionable insights that helped the business tailor its offerings to better meet member needs
✔️ Identified opportunities to increase retention and optimize marketing efforts
✔️ Set up delivery of these personalized insights to each member on an ongoing basis
✔️ Empowered leadership with data-driven strategies to enhance customer engagement and drive growth View full dashboard here (desktop recommended).
Survival Analysis & Pricing Optimization - Medical Devices
Objective:
A leading medical device manufacturer needed to better understand customer retention across different segments and optimize their pricing structure to maximize revenue while maintaining customer satisfaction.
Approach:
We conducted a survival analysis to assess customer retention patterns over time, identifying key factors influencing churn across customer segments. Leveraging these insights, we performed a pricing optimization analysis to fine-tune discount thresholds based on customer buying behavior. Our model analyzed historical purchasing patterns to determine the optimal pricing tiers that balance revenue growth with customer retention.
Results:
✔️ Identified high-risk customer segments and implemented targeted retention strategies
✔️ Optimized discount structures, increasing revenue without sacrificing customer loyalty
✔️ Provided data-driven pricing recommendations that enhanced customer satisfaction and improved profitability