Key Considerations when Choosing an Embedded BI Tool

The field of Business Intelligence (BI) moves fast. Cloud computing, Artificial Intelligence (AI), and the Internet of Things (IoT) have all been hugely disruptive, making it hard to see what’s a fad and what’s here to stay. Embedded BI is the latter. By seamlessly integrating analytics and reporting capabilities into existing applications, businesses are empowered to make data-driven decisions without the need to switch between platforms. 

This article serves as an introduction to embedded BI tools and some of the key factors to consider when choosing one.

What is an Embedded BI Tool?

Embedded BI tools mark a shift in how organizations leverage data insights. Unlike traditional BI solutions, embedded BI tools are integrated within the applications employees already use, creating a unified experience. This integration ranges from customer relationship management (CRM) systems to enterprise resource planning (ERP) software, enhancing the decision-making process at every level.

The Value of Embedded BI Tools

By integrating analytics directly into workflows, businesses make smarter, data-driven decisions in real time. This leads to increased operational efficiency, better customer experiences, and a competitive edge. Sales representatives can view real-time sales performance within their CRM interface; supply chain managers can track inventory trends within their ERP system. Embedded BI tools power these scenarios and more.

Embedded Visualization vs Embedded BI

Both embedded BI and embedded visualization are approaches to delivering analytics within applications. However, there are some key differences between the two:

Embedded BI is a more traditional approach that involves embedding a BI dashboard or report within an application. This can be done using a variety of technologies, such as iframes, APIs, or software development kits (SDKs). Embedded BI is a good option for organizations that want to provide their users with access to a wide range of analytics capabilities. These go beyond static visualizations and are interactive, with connected visualizations and filtering across charts, much like a BI tool.

Embedded visualization focuses on embedding interactive visualizations within applications. This can be done using a variety of tools, such as Chart.js, Highcharts, or D3.js. Embedded visualization can be a good option for organizations that want to provide their users with a more engaging and interactive experience, but it may not offer the same level of analytics capabilities as embedded BI.

Introducing Astrato: Pioneering Embedded BI

Whether it’s HubSpot, Confluence, or your website, Astrato offers a cutting-edge solution for businesses seeking embedded analytics. Users can embed live data insights into their business applications, saving time and development resources that would have been spent on building and maintaining the analytics functionality. Astrato’s Writeback feature facilitates collaboration between teams and is accessible through embedded analytics. With drag-and-drop element functionality and brand color selection, Astrato makes embedded analytics both seamless and accessible. 

Key Considerations When Choosing an Embedded BI Tool

Given the broad applications of embedded analytics, knowing which tool is best for your business can be complex. Every organization is different, but here are some key factors to consider:

Scalability

Ensure that the embedded BI tool can handle increasing data volumes and user demands as your business grows. Scalability is vital to accommodate the evolving needs of your organization. Using Cloud-based data storage, like Snowflake or Databricks, gives organizations the flexibility to do this. Astrato is purpose built for Snowflake and recently announced Databricks as a new data connection option.

Ease of Use

It’s obvious but important: a user-friendly interface is essential for successful adoption. The tool should offer intuitive navigation and require minimal training to empower users at all skill levels. The most powerful embedded analytics tool in the world doesn’t deliver value if no one can use it.

Cost

Evaluate the pricing models offered by different providers. Consider both upfront costs and long-term expenses, including licensing, maintenance, and potential scalability costs. Astrato starts from $12 per month and has a consumption-based licensing option, with no vendor lock-in.

Setup and Integration

It’s called embedded analytics for a reason. The tool’s integration process should be seamless, minimizing disruption to existing workflows. Look for tools that offer easy integration with your current applications and systems.

Customization

The ability to tailor the tool’s appearance and functionality to match your brand and specific requirements is crucial. Customization ensures a cohesive user experience. 

Performance

Insights should be delivered quickly and easily, enhancing real-time decision-making. Slow loading times can hinder productivity and user adoption.

Security

Prioritize data security. The embedded BI tool should adhere to robust security standards to protect sensitive information from unauthorized access.

Support and Training

Reliable customer support and comprehensive training resources are essential for a smooth implementation and ongoing usage.

Conclusion

The adoption of an embedded BI tool can revolutionize how businesses harness data for better decision-making. Incorporating analytics directly into an organization’s workflow facilitates data-driven decision making and the host of competitive advantages that brings. As an intuitive platform, with a powerful data engine, optimized for Cloud storage, Astrato offers a best-in-class embedded BI solution.

Find out more about Astrato by booking a product demo here!