Learn important considerations for building a profitable data product
Data product owners have a tough job. They not only need to bring their product to market on time and on budget, but they also have to make sure that product meets their customers’ needs. Today, an increasing need is for better analytics within applications. As more organizations are monetizing their data, they are also faced with challenges to get their products to market quickly, and main profitability.
Watch this webinar to learn about navigating common pitfalls when establishing an embedded analytics integration strategy, including important considerations throughout five important steps you should take to drive revenue with a great data product. This includes:
- Achieving alignment on the project—from goals and metrics to anticipating key challenges
- Picking appropriate personas to ensure you’re designing for the intended audience
- Defining your offering—including features, functionality, and use cases at each tier
- Setting strategic pricing that reflects the value of your solution in the market
- Planning a successful product launch across all necessary teams
Additionally, you’ll see an example of Tableau embedded analytics within a CRM solution that manages a call center.
Understand and navigate the risks and rewards of monetizing your data
Access to modern data and analytics can help your customers make better decisions while they work within your products. An embedded analytics integration can offer your customers powerful, intuitive insights seamlessly into end users’ workflows within your product.
For your organization, valuable business intelligence can also offer increased engagement with your products, a competitive advantage in the market, and a completely new revenue stream or even business model.
But the right analytics solution is just the first step. Product managers need to plan and execute strategically, as the stakes are high for data products. Your solution can fail if you have data quality issues, incorrect visualizations, or you design dashboards for the wrong audience. Plus, the work isn’t done once your new analytics solution is launched—that’s when you start to learn what your customers really want.
Watch the webinar to learn more.
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