Embedded BI in a nutshell…
What are the Goals of Embedded BI?
The goal of embedded analytics/BI is to provide your applications with the power of a BI tool. With embeddable BI reporting, your application can make better use of the data it collects allowing users and customers to garner deeper insights and ultimately make better decisions from it. Embedded analytics is also often used internally by creating the ability to access multiple departments’ data within internal web portals. Your organization can use this data mashup capability to make better business decisions.
Benefits of Embedded BI (Business Intelligence)
Many users realize the commercial applications they use to access data can be used for insightful decision-making. Specifically, embed
ding BI into the operational layer of applications allows analytics to work for you in the every day operational processes that drive key decisions for all employees– from individual contributors to the CEO. For example, sales managers can monitor sales staff KPIs such as calls logged, win rates for the quarter, and revenue per sales rep.
Embedded BI really bolsters applications by allowing them to harness the power of their data through reporting and visualizations. Their benefits, therefore, may differ from traditional BI applications, such as:
- By embedding BI into applications, users benefit from a streamlined BI experience. They can operate BI from within the core application without switching to and from applications to complete a single workflow, thus improving productivity across the board.
- One of the hallmarks of embedded BI is to meet the analytics demands of commercial applications. According to our recent survey, users of commercial applications demand embedded BI more than any other surveyed capability.
- The bridge between insights to action is shortened. Since embedded BI links reporting to operational processes, data-centric insights are contextualized, giving users a better workflow between insight and action.
- BI user adoption improves with embedded BI. Employees that are provided with analytics within the context of their applications are more likely to take advantage of that embedded capability rather than from standalone applications. This drives the ROI of BI software since more users are benefiting from the analytics.
Types of Embedded BI Users
Embedded BI workflows are specific to the different types of users. Workflows are dependent on users’ technical ability or the importance of BI in their day-to-day job activities.
- Operators: These users require analytics to perform their job. They may be field technicians or assembly line operators that require analytics for monitoring operational processes for alerts.
- Business Users: From entry-level to management or executives, business users desire analytics to monitor their business processes and even create ad hoc reports. Business users, though often not as technical as other user types, use self-service BI to improve performance through analytical insights.
- Power Users: Data analysts, statisticians, or data scientists are skilled at a specific function and are considered power users of analytical applications. Power users explore and mine information to uncover critical insights to the organization.
- Developers: These may be the most technically proficient user types of embedded BI. They work to integrate BI into their applications, create report templates, and fulfill complex report requests from other users.
JReport- The Leader in Embedded BI
JReport is an established leader in embedded BI and embedded analytics. With Jinfonet software’s latest update, JReport combines innovation in data visualization and integration flexibility becoming the most advanced embedded analytics software solution on the market. JReport empowers ISVs and enterprises to embed interactive and customizable reports and dashboards into their web applications. Users and decision makers are empowered with data insights to help drive business forward. JReport’s BI reporting platform also helps developers gain increased efficiency in report development, greater UI flexibility, more advanced visualization options, data source mash-up, and increased scalability and security.
For more information on various other business intelligence technologies and terms visit our BI Defined page!