Data creates value|Teach you to choose the most suitable embedded BI

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What is embedded business intelligence software?

Embedded business intelligence software allows enterprise users to quickly implement self-service data analysis and quickly complete the modification or adjustment of analysis results. Using embedded BI software allows all team members to easily convert data into value. The open architecture, highly flexible and extensible platform allows users to accurately analyze data and quickly adapt to future changes in analysis requirements.

Embedded BI software is the best choice for enterprises of all sizes. Companies with large data sets can use embedded data platforms for business data analysis without putting pressure on data resources and other application systems. Enhance the analysis capabilities of ERP, OA, CRM, MES and other business systems, and provide users with the ability to create in-depth analysis reports and charts on their own. This is where embedded business intelligence software fully reflects its strength.

For small and medium-sized companies, when it is necessary to integrate different data sources into a data platform that can provide perfect business analysis support, embedded BI is essential. In short, embedded business intelligence software is specifically built for integration with processes, portals, and applications. Integrate business intelligence software functions such as dashboards, reports, visualization, and analysis into existing applications, which can be easily accessed from within the application for business users to use and analyze to enhance the analysis capabilities of business software. It is a business software function The development trend is the real demand of users.

Embedded business intelligence software reduces the time required to generate data, thereby providing more effective analysis. It allows users to make data-driven decisions in the workflow of an application without having to navigate to other applications. Using the embedded BI platform can provide advanced reporting and analysis without spending time and expense to build it. In other words, embedded BI products can provide analytical capabilities in the context of business applications.

What are the characteristics of embedded business intelligence software

• Portal capabilities: Provide a web-side analysis portal, allowing users to create, delete and reorder personal workspaces, add and delete content, and modify page layouts.
• Visualization capabilities: Analyze the relationships and laws of business data through rich visualization components.
• Web analysis report: Provides OLAP analysis capabilities, providing complete data construction, loading, organization, viewing and saving, and sharing report capabilities.
• Map visualization capabilities: Provide geospatial mapping information, and include the results of geospatial analysis in the report.
• Mobile business intelligence: Support mobile device access and adaptation, and provide mobile monitoring key indicators and analysis capabilities.
• Query analysis: Provide query functions for users of all levels across multiple business systems and multiple data sources.

• Flexible deployment options: Quickly integrate business intelligence into the existing IT equipment environment, and support mainstream deployment environments such as Windows, Linux, and Docker.
• Self-service: Allow business users to load, process and analyze data from any angle to discover problems and new opportunities.
• Multi-tenant: Provides the customization flexibility required by ISVs; fully multi-tenant.
• Rich API: Provides rich API interface capabilities and supports embedding by applications in a variety of ways.
• Data modeling: Provide visual data modeling capabilities, reconstruct data, and extract insights quickly and accurately.
• Sharing and collaboration: Dashboard analysis results can be shared and controlled within the organization according to permissions.
• Data integration: Create integrated data views for business users across multiple data sources and enterprise applications.
• Data exploration: through interactive operations such as data drilling, linkage, etc., to help analysts discover new insights.

What are the key performance indicators of embedded business intelligence software

For embedded BI, there are several important KPIs worth paying attention to:

1. Integrability

When integrating embedded business intelligence functions into business applications, users can access dashboards, visual files, and reports.

1. White label ability

Embedded business intelligence software enables developers to white label and seamlessly integrate analysis to match the appearance of any given application.

1. Visualization ability

Users can create reports and other user-friendly visualizations to better illustrate data and gain a competitive advantage.

1. Data modeling capabilities

Support self-service data modeling, mixing and discovery processes. These advanced analysis functions allow users to obtain a high-level view of the data and understand it well.

What are the benefits of embedded business intelligence software

There are many benefits of embedding BI into core applications and business processes:

• Accelerate the development speed: shorten the function development time, promote the application software visual analysis function to face the market as soon as possible, and create value;
• Reduce initial cost: reduce the cost of pure code development for analysis functions;
• Reduce daily costs: maintain, upgrade and support analytical capabilities;
• Lower opportunity cost: adhere to the development and support with core competitiveness as the core;
• Competitive advantage: provide advanced analysis technology;
• Data integration: able to combine dynamic data with other data sources;
• Optimize business processes: when performance exceeds a predefined threshold, an individual will be alerted, and alerts, workflows and tasks will be triggered to optimize processes and performance;
• Make BI more popular: provide the benefits of BI to more users without having to purchase BI tools for each user;
• Make BI more flexible: BI services can be more easily integrated into new and existing applications, avoiding technical bottlenecks in report and dashboard development;
• Form a closed loop: Embedded BI integrates operation and analysis functions, enabling data and information to promote decision-making in a virtuous circle, helping companies to better understand the factors driving business development, and to adapt to the ever-changing market environment more quickly.

What are the latest trends in embedded business intelligence software

In the past few years, data has become a core element of the organization. The development trend of embedded BI will have a greater impact on the entire analysis field:

• Collaborative analysis: Through the data-driven decision-making mechanism and culture, it will promote the collaborative analysis and value creativity of the entire organization, and promote the development of the business.
• Self-service data preparation: As big data becomes dispersed and integrated into multiple aspects of the organization, all users need to have the ability to process data on their own.
• The transition to the cloud will accelerate: the cloud platform will provide a faster and more scalable solution and platform environment.
• The growth of the value of predictive analytics projects: the increase in the types of sensors, algorithms, and technologies will help companies capture and predict upcoming events. Such as docking with data collected by Internet of Things (IoT) devices, predictive analysis technology can predict the production environment in real time.
• Artificial Intelligence (AI): BI technology combined with AI technology, machines will perform tasks usually completed by complex human intelligence.

How to choose the right embedded business intelligence software

In order to achieve higher application usage, higher user satisfaction, cost and time savings, and potential revenue growth by adding embedded analysis capabilities, the following aspects are the key considerations when choosing embedded BI:

• Security: Ensure that the data can be controlled by the organization's multi-tenancy and role levels for security permissions.
• Customization capabilities: Provide different types of API sets, custom visualization, plug-ins, CSS customization, etc.
• Demand matching degree: the degree of satisfaction of the product capabilities of embedded BI to the application enhancement analysis demand, customer or project demand.
• Function: The completeness and satisfaction of product functions, including: data source support, data modeling capabilities, data visualization capabilities, richness of API interfaces, granularity of permission control, etc.
• Integration capability: The openness and depth of the integration of applications and embedded BI are mainly reflected in the integration methods and API capabilities.
• Product architecture: Determine scalability and performance requirements.
• Budget cost: product cost and authorization model.
• OEM capabilities: Provide white label analysis to ensure a seamless experience for end users.
• Integration time: Embedded solutions should only take days or weeks, not months.
• Training and support: What training and other resources are provided by the BI vendor to support the embedding of analytical capabilities in the application?

Further reading

If you are further interested in embedded business intelligence, you can learn about Wyn Enterprise . Through flexible data interaction and exploration and analysis capabilities, as well as OEM white label integration, it fully meets the data analysis needs of industry application software. It provides multi-source data integration, report statistics, data visualization, self-service BI analysis, and data filling and other functions to help users tap the potential value of data and provide data support for managers to make decisions.