Customers want outcomes, not data. Data is an input, but data combined with models delivers optimal results. Models enable data engineering, matching and analysis to provide specific answers, accelerate integration and reduce time to value. Next-generation data businesses deliver data science services to collaboratively develop models that deliver real-world outcomes. They then productize and monetize those models, rapidly launching them to a wider market and managing them at scale.
Harbr customers are monetizing models and data science services to reduce the time, cost, effort and skill required to achieve real-world outcomes.
Shifting any paradigm is challenging. Adding model and service-based products to your business means overcoming a range of challenges:
If you have a data business, expanding your core value proposition to include models requires a mindset and capability shift
. Developing models requires close collaboration with customers to understand the nuances of the use case. Delivering data science services can enable and accelerate the collaborative development process.
Slow, manual and disjointed processes to develop and productize models will make the journey from innovation to commercialization challenging. This can negatively impact margins, time to market, and the potential competitive advantage.
. Thought must be given to how a model-based product will be priced during development and goto-market. Data, models and services can be priced individually, packaged or combined.
Models are collaboratively built with customers, data access is fully secured, and compute and tooling are provided on-demand. All within a branded, data commerce experience that delights customers.
Outputs and models created during service delivery are rapidly transformed into scalable data products and are launched selectively, or to an entire customer base, with a single click.
Dynamic subscription plans enable multiple customer propositions with variable pricing, legal terms and access controls that are auto-enforced
Model execution and data distribution are fully-automated on an event-driven or scheduled basis delivering high-value, high-margin customer outcomes.
If you’d like to learn more about the Harbr data commerce platform:
From our work with next-generation data businesses across multiple industries, we have identified critical focus areas when monetizing models and data science services.