Agile BI, business-friendly self-service analytics
Rich visual presentation methods
Supports all common charts for visual analysis, presenting business analysis思路flexibly, accurately, and clearly. Offers visualization analysis on PC, mobile, and large-screen devices, fully meeting various application scenario requirements and analysis needs for corporate data visualization construction.
Agile Self-service BI Analysis
Based on a robust business indicator analysis model, business personnel can quickly complete self-service visualization page analysis using a "drag-and-drop" method. Simple settings for the association, drill-down, filtering, and sorting effects between charts can be achieved, enabling data insights and agile self-service.
Rapid prototype modeling with precise guidance for user demand analysis
Visualization Dimension and Indicator Design and Management
Visual, drag-and-drop self-service dimension modeling and indicator design process, flexible, hierarchical theme analysis and indicator management, rapidly build enterprise-level analytical indicator systems, zero-code model modifications, and automatic database table structure adaptation to model changes.
Rapid visual prototype modeling capability
Quickly design a visual analysis page prototype without connecting to the user's actual data source. What you see is what you get. The system automatically generates simulated business-related data to support the visual page, rapidly guiding business personnel in analyzing ideas and defining analysis requirements, truly focusing on demand-driven approaches.
Agile Data Warehouse Development, Everyone Is an Architect
Multi-source data and solution support
Supports access to common market data sources, including unified management of relational databases, big data platforms, and text files, with a multi-source project management approach suitable for BI project planning and requirements involving multiple systems and heterogeneous data sources.
Model-driven, Agile Data Warehouse Modeling
Pike Data's unique Power Designer-style platform modeling capabilities, enterprise-grade Kimball data warehouse modeling standards, and zero-code development for rapid business modeling. Build powerful underlying data warehouse architectures without the need for advanced BI architects.
Robust ETL scheduling and flexible metric extraction strategies
Robust ETL scheduling and flexible metric extraction strategies
A variety of ETL development and design capabilities, supporting SQL and external ETL scheduling, with flexible and highly configurable ETL scheduling strategies. Allows for flexible organization and setting of extraction frequencies for different metrics, catering to the real-time analysis needs of various enterprise-level BI projects.
Comprehensive lineage analysis capabilities ensure more robust project maintenance.
Based on data warehouse models and hierarchical metadata lineage analysis, clearly reflect the relationships between indicators and data sources, indicators and indicators, indicators and dimensions, indicators and ETL, and indicators and pages within complex data architectures. Trace metadata to its roots, and gain a clear understanding of the data lineage.
Convenient user permissions, system management, and integration
Robust user permission management
Supports hierarchical authorization under multiple organizations and roles, controlling access permissions to pages and data at the business module level, visual page level, row level (dimension), and column level (measure), ensuring data security.
Rich system configurations and product integration strategies
Comprehensive product system with customizable configurations, user management, visual page attribute templates, chart visualization design, email integration, mobile integration, portal integration, and customizable mobile navigation, offering highly personalized system management to cater to various project needs.
