Data Monetization
Our Goal is to expand the way stakeholders & management teams value data & AI assets by approaching your data with a product-driven mindset.
We’ve accomplished and successfully monetized data by adopting the philosophy of treating data as a product. To productize, data teams should adopt product thinking best practices:
Our 5 Step Data Monetization Playbook
– Drive existing product/service revenue growth or create direct cost savings?
– Retain business?
– Improve our ability to deliver quality, differentiated and relevant service(s)
– Improve the customer’s experience
– Support the data strategy
Various Types Of Data Monetization Vehicles:
Direct Data Monetization
Uncover the use cases and business drivers. Map and align to both strategic and tactical objectives. Perform cost, benefit & value analysis.
Data-Driven Business Models
Resell data to interested third parties while respecting data privacy regulations.
Data-Driven Product Improvements
Identify brand- new business models to deliver your existing products and services.
Embedded Analytics for Cross-Sell and Upsell
Enhance products and services by analyzing user behavior and competitive offerings.
We provide data, AI and machine learning validation, valuation, and value creation, resulting in 2 potential pathways to Data Monetization – One with an internal focus and one with an external one
