What is Embedded Analytics?
Embedded analytics integrates data analysis directly within users' natural workflows and applications, enabling real-time, comprehensive insights from multiple enterprise sources that enhance operational efficiency, strategic planning, revenue generation, and customer service without requiring users to switch between separate tools.
What is embedded analytics?
According to Gartner, embedded analytics is "a digital workplace capability where data analysis occurs within a user’s natural workflow, without the need to toggle to another application."
In other words, analytical capabilities are embedded within a purpose-built application. Embedded analytics can improve efficiencies and processes by enabling people to take advantage of analytics within the application they are already working in. These capabilities can be integrated directly into proprietary and off-the-shelf systems, as well as cloud-based software.
Embedded analytics allows interaction with data from multiple enterprise sources, providing a more complete picture of transactions or processes, as opposed to reporting from a specific application that can only access data within its own system.
Why should you embed analytics in your application?
Instead of using spreadsheets and standalone dashboards, organizations are increasingly embedding analytics within applications to support more unified operations. By including analytics directly into the daily workflows of employees, organizations can:
- Leverage additional revenue generation opportunities
- Ensure alignment of business executives with operational workers
- Provide better overall services to customers
Data assets become more valuable when enhanced by embedded analytics. Management should find ways to exploit these assets by making information accessible to those who need it most, in a form that is easy and convenient to use.
Embedded analytics can also help organizations with:
- Strategic planning: KPIs can be placed within applications for enhanced measurement of targets
- Growing ROI: Identify high-value customers and lifetime value, ensuring top-down alignment
- Strengthening visibility: Embedding streaming data into applications creates real-time insights
- Improving customer service: Call center workers don’t have to leave their applications when helping customers
What are some of the use cases for embedded analytics?
Unlike standalone dashboards and spreadsheets, analytics can be embedded directly into applications that people use every day, making operational processes and decision-making more efficient and effective.
Common use cases include:
- Manufacturing: Embedding reports enables facilities to understand risk exposure, respond to customer demands, and increase productivity.
- Utilities: Embedded analytics provides outage, maintenance, and other information to customers, resulting in a better experience and service.
- Sales and Marketing: Information from on-premises systems can be combined with CRM data, giving a complete view of the customer that isn’t available in the CRM alone.
In each example, the end user does not have to leave the application to get the information they need, nor do they have to learn a new tool. This creates value directly connected to data visibility, helping organizations find a quicker path to ROI and realize the overall value of their information assets.
What are the benefits of embedded analytics?
- Self-service: increases adoption by enhancing capabilities
- Blending data from many sources to present more complete insights
- Better and more intuitive visualizations
- Creation of real-time insights by embedding streaming data in applications
How can Pyramid Analytics help with embedded analytics?
Embedded analytics helps organizations become more data-driven. Once these capabilities are embedded directly into business applications, it becomes easier to create economic value through analytics and data visibility.
Align your analytics goals with business operations through fast access with Pyramid Analytics.