A lot of BI companies and independent software vendors are increasingly inserting traditional reporting, dashboards and interactive analysis into business-friendly applications. This will deliver insights to a broader range of analytics users that lack advanced analytics skills. As We have experienced that many companies are demanding products that gives them the ability to access financial data and insights from interactive and user-friendly BI solutions, without requiring users to have IT or data science skills.
1. Business user mashup and modeling: The “drag and drop” function is here to stay. To be able to combine user-driven data from multiple sources into to user-defined groups, hierarchies and calculations.
2. Internal platform integrations: Consistency in look, feel, installation, shared metadata and the ability to promote business-user-generating data across all platform components.
3. BI platform administration: To be able to administrate security, architecture and users across all common platforms.
4. Metadata management: Providing a robust and centralized way for administrators to search, capture, store, reuse and publish metadata objects, such as dimensions, hierarchies, measures, performance metrics/KPIs, and report layout objects, parameters and so on. Administrators should have the ability to promote a business-user-defined data mashup and metadata to the systems-of-record metadata.
5. Cloud deployment: Be able to manage analytics applications both in the cloud and on-premises.
6. Development and integration: Visual tools and programs for building reports, dashboard and analysis. It should be able to personalize distribution, scheduling and alerts to improve BI workflow where you can share and view data through email, on a portal or on mobile devices.
7. Free-form interactive exploration: Users should be able to analyze data through interactive visual presentations with chart images, color, brightness, size, shape and motional visual objects. This includes visualizations that goes beyond those of pie, bar and line charts, including heat and tree maps, geographic maps, scatter plots and other special-purpose visuals. Information visualization for better user experience.
9. Analytic dashboards and content: The ability to create highly interactive dashboards and visual content, with geographical and location intelligence.
10. IT-Developed reporting and dashboards: The ability to create highly formatted interactive reports that enables reports and dashboards with navigation, design and document layout functionalities. Visual components, such as indicators, sliders, dials and check boxes.
11. Traditional styles of analysis: AD hoc queries that enables users to access data quickly and creating reports on demand. With the ability to access available data sources, predefined metrics, hierarchies etc.
12. Mobile: Enables users to view, publish and execute contents to mobile devices, with standard mobile functionalities such as touchscreen, camera, location, and language queries.
13. Collaboration and Social Integration: Enables users to share and discuss information, analysis, analytic content and decisions via discussion threads, chat, annotations and storytelling. Real-time collaboration.
14. Embedded BI: Creating and modifying analytic content, visualizations and applications, and embedding them into a business process and/or an application or portal.
To sum up BI solutions are trending more towards an analytical solution, which provide more value to end users and have greater capabilities for real-time, predictive and decision support for critical industry processes.
Source. Gartner Group