USE CASE

Creating High-Value Data Products

SCHEDULE A DEMO

“It isn’t always about the data; it’s the insights and value delivered” – Forrester

Raw data has limited value. To be valuable, data has to be adapted and refined to deliver insights and meet business needs. Collaboration is crucial between data suppliers, who know the data, and data consumers, who know the use case. Rapid prototyping proves the value proposition, while productization delivers the control and scale necessary to maximize the return on investment and meet the market need.

 Harbr customers demonstrate that data products that deliver insight and meet a specific business need generate significantly higher revenue and can be developed 50% faster.

Challenges

There are a range of common challenges that make it difficult, time-consuming and expensive to create high value data products:

1.

Collaborating effectively to identify and prove value propositions

2.

Working in cross-functional teams to manage a diverse product portfolio

3.

Effectively delivering ready-to-use data products that address specific needs

Achieving Value Faster with Harbr

Collaboration and Prototyping

Securely collaborate on-platform to develop, test and iterate prototypes directly with consumers.

Collaboration and Prototyping

Collaboration and Prototyping

Automation

Prototypes can be rapidly productized and auto-maintained on a scheduled or event-driven basis reducing development and maintenance costs.

Automation

Automation

Data Access

Consumers have instant access to data products and can also bring their own data to explore and prove use cases.

Data Access

Data Access

Rapid go-to-market (GTM)

One-click deployment, rich product listings, dynamic subscriptions.

Rapid go-to-market (GTM)

Rapid go-to-market (GTM)

Product Management

Cross-functional teams work collaboratively to create, launch, and manage diverse product portfolios across their entire lifecycle.

Product Management

Product Management

If you’d like to learn more about the Harbr data commerce platform: 

BOOK A DEMO

Focus Areas When Building High Value Data Products

From our work with next-generation data businesses across multiple industries, the following tips guide the delivery of an optimal consumer experience.

  1. Assess your data – Understand the needs and expectations of data consumers to create an experience that delivers real-world value.

  2. Identify Use Cases – Deliver self-service, intuitive and frictionless user journeys.

  3. Prototype and Iterate – Provide immediate benefit to the data consumer by reducing the time and steps required to achieve an outcome.

  4. Build your product – Delivering data outcomes requires a wide range of skills. Enabling direct collaboration is critical to success and should be built in.

  5. Launch your product – Ensure you can observe, mea sure and understand how consumers are behaving, to adapt and respond with confidence.