OWL works with businesses to develop the analytics capabilites needed to create more profit. Our obsession is bringing the power of prescriptive analytics to companies who believe that every customer interaction, at its best, should be very personal. Our obsession is helping our clients forge meaningful bonds with their customers by capitalizing on the intelligent interpretation of behavioral patterns in data. Our tools are the most advanced statistical, operations research and mathematical modeling techniques. Our expertise is in industries that depend on staging emotional experiences, such as Media and Entertainment, Travel and Hospitality, and Retail and Services. More +
Our models apply the science of optimization to your pricing strategy to help you access new customer populations and unearth hidden revenue and profit in real-time. More+
We harness the insights locked in transaction and social data to help you establish more profound connections with your customers. More +
OWL helps you design your customer touch points around data-driven insights of behavior to deliver memorable impressions while driving bottom line results. More+
We help you exploit the power of statistics to test the likely success of new ideas before you commit valuable resources. More+
Data leads to wisdom. That’s because intelligent information discerned from good data often challenges and dispels the long held assumptions by which many critical, but often inefficient, business decisions are made.
While “Review” and “Like” buttons have become ubiquitously embedded into all web transactions, an authentic narrative of a single customer’s experience can have more transformative power than a petabyte of social rankings.
Segments can no longer be derived by using the cursory methodology of traditional demographic analysis. While most organizations are still sorting through their CRM lists to find homogeneous target groups, the application of probabilistic scoring to your customer data will re-contextualize your entire approach to marketing.
In the last three decades, technology enabled a breadth of deterministic analysis on “what” the customer has done. In today’s predictive world, analytics allows us to dig into new depths of our understanding about the “why”.