BI Tool Features List

Style Intelligence is a real-time business intelligence suite that features a dynamic data mashup tool for the production of dashboards, visual analyses, and reporting.

The incorporated, easy-to-set-up, easy-to-manage business intelligence solution maximizes self-service and serves both businesses and other BI providers.

InetSoft's BI software makes use of a powerful, patent-pending Data Block infrastructure for real-time data mashup and conveys information through interactive dashboards, enterprise reports, scorecards, and exception alerts.

Executive Dashboard Features

Style Intelligence uses a what-you-see-is-what-you-get approach to facilitate quick and efficient publishing of business dashboards with several marked advantages:

• Track, examine, and analyze data in detail
• Simple to use, alter, and create
• High-performance, easy-to-use end-user data mashup
• Requires very little IT knowledge to execute; perfect for all business users

Dashboards grant business users new insight through a high-powered monitoring and analytic setting, resulting in heightened efficiency and accuracy in decision making.

View a 2-minute demonstration of InetSoft's easy, agile, and robust BI software.

Read how InetSoft was rated as a top BI vendor in G2 Crowd's user survey-based index.

Features of Self-service Business Intelligence

1. User-Friendly Data Visualization: Self-service BI tools often offer intuitive drag-and-drop interfaces that allow users to create interactive and visually appealing data visualizations, such as charts, graphs, dashboards, and infographics. This empowers non-technical users to quickly grasp complex data insights.

2. Data Integration: These tools can connect to various data sources, including databases, spreadsheets, cloud services, and more. This integration allows users to pull data from different sources into a centralized platform for analysis.

3. Data Cleansing and Transformation: Self-service BI platforms enable users to clean and transform raw data into a usable format. This includes tasks like filtering, sorting, grouping, and joining data sets, ensuring that the data is accurate and relevant.

4. Ad Hoc Querying: Users can create custom queries and retrieve data in real-time without waiting for IT or data teams to generate reports. This agility in querying speeds up decision-making processes.

5. Interactive Dashboards: Interactive dashboards provide a consolidated view of key performance indicators (KPIs) and metrics. Users can customize these dashboards based on their needs, arranging visualizations and data tiles to gain insights at a glance.

6. Self-Service Data Exploration: Users can explore data on their own terms by drilling down into specific data points, filtering data, and creating on-the-fly calculations. This empowers users to answer their unique questions without requiring extensive technical skills.

7. Data Security and Governance: While enabling self-service BI, it's crucial to maintain data security and governance. Good self-service BI tools offer role-based access control, data encryption, and audit trails to ensure that sensitive data is protected.

8. Predictive and Advanced Analytics: Some self-service BI platforms offer built-in predictive analytics and machine learning capabilities. This allows users to generate forecasts, identify trends, and perform complex analyses without needing expertise in these fields.

9. Collaboration: Self-service BI tools often come with collaboration features that allow users to share reports, dashboards, and insights with colleagues. Collaborative analytics facilitate knowledge sharing and more informed decision-making.

10. Real-Time Data Updates: Users can set up real-time data connections or scheduled refreshes, ensuring that the information they are working with is always up-to-date and accurate.

11. Mobile Accessibility: Many self-service BI tools offer mobile apps or responsive designs, allowing users to access and interact with data on smartphones and tablets, enhancing flexibility and productivity.

12. Cost and Resource Efficiency: By reducing the reliance on IT for generating reports and analyses, self-service BI saves time and resources. It empowers business users to create the insights they need without burdening technical teams.

“Flexible product with great training and support. The product has been very useful for quickly creating dashboards and data views. Support and training has always been available to us and quick to respond. - George R, Information Technology Specialist at Sonepar USA

End-User Features of a Self-service BI Interface

1. Intuitive Data Exploration: A user-friendly interface allows end-users to explore data intuitively. Drag-and-drop functionalities enable users to select data attributes and build visualizations effortlessly.

2. Data Visualization Library: The interface offers a range of pre-built visualization options, including bar charts, line graphs, scatter plots, heatmaps, pie charts, and more. This empowers users to choose the most suitable visualization for their data.

3. Customizable Dashboards: Users can create personalized dashboards by arranging visualizations, charts, and metrics as per their preferences. This customization ensures that users have a tailored view of the data that matters most to them.

4. Interactive Visualizations: End-users can interact with visualizations, such as hovering over data points for additional information, zooming in on specific time frames, or drilling down into data hierarchies for deeper insights.

5. Ad Hoc Querying: Users can create ad hoc queries to retrieve specific data subsets or answer unique questions. This feature enables users to get immediate answers without waiting for predefined reports.

6. Data Filtering and Slicing: The interface allows users to apply filters to data, slicing and dicing it to focus on specific segments. This enables users to analyze data from different angles and perspectives.

7. Real-Time Data Updates: End-users can work with real-time data or schedule automatic data refreshes to ensure that their insights are based on the most recent information.

8. Data Annotations: Users can add annotations, comments, or explanations to specific data points or visualizations. This promotes collaboration and enhances the context around the insights being shared.

9. Predictive Analytics: Some self-service BI interfaces offer predictive modeling tools that enable users to forecast trends, perform regression analyses, and make data-driven predictions without advanced statistical knowledge.

10. Export and Sharing Options: End-users can export visualizations, reports, or dashboards in various formats (PDF, Excel, image files) and easily share them with colleagues or stakeholders.

11. Mobile Accessibility: A responsive design or dedicated mobile app allows users to access and interact with data from smartphones and tablets, ensuring data insights are available on-the-go.

12. Collaboration Features: The interface includes features for users to collaborate on analyses and dashboards, such as sharing insights, leaving comments, and working on projects collaboratively.

13. Guided Data Preparation: Some interfaces offer guided data preparation functionalities, helping users clean and transform raw data into a suitable format for analysis without requiring deep technical skills.

14. Training and Support Resources: Comprehensive training materials, tutorials, and support resources are often available to help users get the most out of the self-service BI interface.

15. Data Security and Permissions: End-users can access only the data and functionalities that they have appropriate permissions for, ensuring data security and compliance.