Introduction to Embedded Analytics
In today’s fast-paced business environment, data-driven decision making is critical to stay ahead of the competition. Embedded analytics is a powerful analytics integration that organizations can leverage to make informed decisions by gaining real-time perspective into their business from data. In this blog post, we will explore what is embedded analytics, how it works, and why it is the future of data-driven decision making.
What is Embedded Analytics?
Embedded analytics is the integration of powerful data analytics capabilities into other important applications. It aims to incorporate data analytic capabilities into an organization’s workflows, applications, and other crucial resources. It allows you to gain insights from data without stopping what you’re doing to use a different application.
How Does Embedded Analytics Work?
Embedded analytics is typically integrating data analytics capabilities into other applications. This integration can be done in several ways, including:
APIs: Application Programming Interfaces (APIs) are used to integrate data analytics capabilities into other applications. APIs allow developers to access data analytics capabilities from within their applications.
SDKs: Software Development Kits (SDKs) are used to integrate data analytics capabilities into other applications. SDKs provide developers with the tools they need to build data analytics capabilities into their applications.
Plug-ins: Plug-ins are used to integrate data analytics capabilities into other applications. Plug-ins are small software programs that add specific features to an existing application.
Benefits of Embedded Analytics:
Embedded analytics provides several benefits, including:
Real-time Insights: Embedded analytics provides real-time insights into your data, enabling you to make informed decisions quickly.
Improved Productivity: Embedded analytics allows you to access data analytics capabilities from within your existing applications, improving productivity and reducing the need to switch between applications.
Better Decision Making: Embedded analytics provides insights into your data, enabling you to make better decisions.
Increased Revenue: Embedded analytics can help you identify new revenue streams and opportunities, leading to increased revenue.
Why Embedded Analytics?
Embedded analytics is the future of data-driven decision making. It provides real-time insights into your data, enabling you to make informed decisions quickly. With embedded analytics, you can access powerful analytical tools within the same application you use for your daily tasks, without the need for separate analytics platforms or complex data transfers. This seamless integration empowers organizations to gain real-time insights, uncover hidden patterns, and optimize their operations for better outcomes.
Key Features of Modern Embedded Analytics Platforms:
Ease and Depth of Integration: The embedded analytics platform should integrate seamlessly with your existing applications, without interrupting the user interface or user experience.
A Seamless User Interface (UI): The user interface of the embedded analytics platform should be consistent with the user interface of your existing applications.
Functionality: The embedded analytics platform should provide the functionality you need to analyze your data effectively.
Transparent and Affordable Pricing: The pricing of the embedded analytics platform should be transparent and affordable.
Innovation: The embedded analytics platform should be innovative and keep up with the latest trends in data analytics.
Difference between Embedded Analytics and Business Intelligence:
Embedded analytics and traditional business intelligence differ in the way they provide insights to users. Traditional BI requires users to conduct their analytics in a separate set of tools, while embedded analytics allows users to access insights in-app. This means that data visualizations, dashboards, and reports live in the application in which users conduct operations, allowing for real-time refreshes and faster learning.
Although this difference may seem small, it can save a whole lot of time. These savings increase productivity, allow for constantly updated information, and streamline the entire analytics workflow.
Explore our Embedded Analytics Solutions.
GainInsights is a data analytics firm specializing in areas of Business Intelligence Modernization and Data Platform Engineering. With more than a decade’s experience of nurturing premium partnerships with Qlik, we have built a no-code embedded analytics solutions suite called SenseOps specifically for organizations leveraging Qlik Sense.
