How Data-Driven Insights Helped a Global Energy Leader Expand Its Sales Pipeline by $1.2B Annually
At Quantiva, we believe that the right data used the right way drives growth, optimizes workflows, and creates opportunities that would otherwise go unnoticed. A recent engagement with one of the world’s leading energy companies is a perfect example of how data-driven insights can transform sales strategy and business operations.
The Challenge: Identifying Turbines in a Complex, Dynamic Market
Although our client is a global leader in gas turbine sales, they also provide maintenance services for competitor turbines. The challenge, however, was determining exactly when and where these turbines would require servicing, a critical factor in securing maintenance contracts before competitors.
The key challenge was getting the right insights at the right time, which was difficult due to the highly dynamic nature of gas turbine operations. Gas turbine maintenance schedules aren't universal, as they depend on factors like usage, fuel type, and environmental conditions. Traditional asset tracking methods are too generic to predict the maintenance needs accurately.
Without a way to anticipate maintenance timing, sales teams were often too late to engage operators before competitors secured contracts.
The Solution: Leveraging Data and AI for Market Insights
To solve this problem, we took a data-first approach, integrating multiple modalities to track turbines in operation and predict maintenance cycles.
Industry Databases as a Baseline
We began by gathering existing databases of gas turbines, using them as a foundation to identify known assets.
Satellite Imagery to Detect Turbine Activity
To expand this dataset, we leveraged Sentinel satellite imagery to analyze turbine exhaust patterns. By correlating emissions data with known operating models, we could determine when and how turbines were running, a key factor in predicting maintenance needs.
Data Normalization & Augmentation
Once we identified additional turbines, we appended and enriched the data, making it actionable within Salesforce. This meant sales teams could quickly identify operators, predict maintenance needs, and engage early before competitors.
Predictive Analytics for Automated Lead Generation
By analyzing operating cycles, we built a cloud-based predictive analytics model that helped sales teams prioritize outreach based on which turbines were most likely to require maintenance soon.
The Impact: A $1.2 Billion Increase in Addressable Market
The results were transformative. By expanding their Total Addressable Market (TAM) by $1.2 billion per year, our client gained a broader, data-driven view of the market, enabling them to engage in more opportunities than ever before. Automated lead generation became a reality as enriched turbine data was systematically fed into Salesforce, creating a scalable approach to identifying and reaching potential customers.
With optimized sales workflows, teams no longer had to rely on guesswork, they could now focus their outreach on high-probability leads, ensuring they engaged operators at the right time, ahead of competitors.
Conclusion: Data-Driven Insights Power Growth
This project is a testament to how data-driven strategies can create massive business opportunities. By using AI, satellite imagery, and predictive analytics, we helped our client optimize their sales pipeline, improve data quality, and unlock new revenue streams, all while automating the process for long-term scalability.
At Quantiva, we specialize in turning complex data challenges into actionable insights that fuel business growth. Whether it’s sales optimization, predictive maintenance, or real-time asset tracking, we help companies make better decisions, faster.
Want to learn how data can drive your business forward? Let’s talk.
