In the early days, BI systems were standalone solutions that required specialized knowledge to operate. They were predominantly used by IT departments or data analysts with a simple goal: convert data into insights to inform strategic decisions. However, these systems were often siloed, making widespread data-driven decision-making across an organization more challenging. Embedded BI (Business Intelligence) emerged as the solution to these challenges, allowing users to access and interact with analytics and insights within the context of their regular workflows.
In definition, Embedded BI is a way of integrating BI capabilities, such as reports, dashboards and analytics, into various applications and platforms still used by the company. This integration allows users to access and interact with BI content without switching between different tools. Embedded BI can enhance decision-making, streamline processes and add value to products.
The research and analyst company Gartner claims that less than 30% of the company’s prospective users that utilize standalone business intelligence solutions actually make use of the technology. Thus, there is a widespread consensus that organizations using embedded BI have experienced greater user satisfaction when compared to those that use standalone technology.
A widespread use of embedded BI can be achieved by integrating reporting and analytics features into current applications across the entire enterprise. A common argument is that integrating BI capability into already-existing software packages results in increased user acceptance and adoption rates since the users are accustomed to the environment, which encourages greater user involvement.
Benefits of Embedded BI
Embedded BI offers numerous benefits that can enhance the user experience and drives decisions to be based on data. Here are some key advantages of using embedded BI:
- Promotes data-driven decision-making – Embedded business intelligence (BI) gives employees the context to comprehend the connections between organizational data and running operations, allowing them to respond more quickly to emerging business opportunities and risks. People realize the importance of taking data-driven decisions using real-time, advanced analytics. By integrating data analysis, it is feasible to get every employee involved by making data insights easily available to all members of the organization.
- Analytics with contextualization – Embedded BI offers customers real-time, contextual analytics integrated into their operational processes, which is one of its main advantages. Frequently, business customers are left with unanswered questions when faced with data on its own. Nonetheless, embedded analytics software includes strong reporting and data visualization features that assist users in converting unprocessed data into clear, understandable business insights for any specific scenario.
- Encourage BI user adoption – By adding BI capabilities to an already-existing software program, users can access and utilize these analytical tools in a familiar environment, which makes the program easier to use and reduces the adoption barrier. Integrating business intelligence (BI) into an already-existing operations-specific software not only lowers adoption hurdles by maintaining the core program’s appearance and feel but also guarantees that the insights generated are still relevant for the intended audience.
- Boosts Productivity and Enhances Company Profits – Users no longer have to switch between different programs to locate the required information since embedded analytics allows users to view data in context. Users can devote their valuable time to critical tasks that demand time and expertise as they do not have to transition between business apps and analytics programs to find insights. By merging analytics and operations, embedded BI may further dramatically increase an organization’s profitability. For instance, by automating machine functions, a manufacturing organization can employ analytics to reduce downtime. In the insurance sector, analytics can aid in preventing false insurance claims. Insights in the telecom industry can improve marketing campaigns and assist businesses in creating customized products.
- Helps in Retaining a Brand’s Identity – Choosing a vendor that provides white-labeling abilities is necessary if the goal is to take full advantage of embedded BI. Businesses don’t want consumers to think something is out of place in their application. The data visualizations should appear smooth and natural. White labeling functionality allows consumers to concentrate on the significance of the insights rather than being sidetracked or even seeing variations in the application itself. Effective white labeling can guarantee brand consistency, boost user acceptance and offer a smooth user experience.
Conclusion
Embedded analytics gives users smooth visuals and instant insights, which has several advantages for businesses. Embedded analytics will benefit an organization in many ways, from system optimization to employee empowerment and work culture enhancement. Given the increasing prevalence of artificial intelligence (AI), embedded BI has a promising future.
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