What are embedded dashboards?
Nov 10, 2023
What are Embedded Analytics?
Embedded analytics are dashboards, graphs, and graphs that are added directly into a product so that end users can view and interact with their data without leaving their workflow. They can be completely static or as interactive as a BI instance fully built out by data analysts and engineers.
Who would use Embedded Analytics?
Retail and E-Commerce Tech:
Retailers can use embedded analytics to monitor sales performance, track customer behavior, and optimize inventory management systems, ensuring a seamless and personalized shopping experience.
In the healthcare industry, embedded analytics are employed to analyze patient data, streamline administrative processes, and enhance clinical decision-making, ultimately improving patient care and operational efficiency.
SaaS Solutions (for manufacturing, HR, product managers, etc.)
Manufacturers can leverage production analytics to monitor equipment performance, track supply chain dynamics, and optimize production processes, leading to improved quality and cost-efficiency.
Tooling built for knowledge work functions such as HR or product management also commonly employs analytics so stakeholders can lean on said tool to derive insights.
Fintech and Banking:
Financial institutions use embedded analytics to assess market trends, manage risk, and provide clients with real-time insights into their financial portfolios, enhancing overall financial decision-making.
Why Embedded Analytics?
Powers real-time decision-making
If your tool owns a critical flow of work, chances are having interactive analytics will make a difference for your customer's bottom line.
Whether you're building a staffing marketplace for industrial manufacturing, an accounting app for restauranteurs, or a next-gen product analytics tool, chances are your users would benefit from being able to find insights in their data.
Static dashboards tell you a number, but interactive analytics enable you to splice and dice, filter, compare, and isolate areas of key business opportunity.
Improves user experience and increases product value
By embedding analytics directly into applications, teams eliminate the need for users to purchase more tools and navigate between them.
Most companies incorporate data in the product purchasing and usage journey in some way (ROI calculators, renewal check-ins, etc.) but recently having analytics in-product has become a table-stakes feature for most customers, especially with the rise of the modern data stack.
Thinking about adding analytics to your product? We'd love to chat and see if we can help! Feel free to book a time here.