Agile BI, business-friendly self-service analytics
Rich visualization presentation methods
Supports all common charts for visual analysis, presenting business analysis思路flexibly, accurately, and clearly. Compatible with PC, mobile, and large-screen visualization analysis, fully meeting diverse application scenarios and analysis demands for corporate data visualization construction.
Agile Self-service BI Analysis
Based on a robust underlying business indicator analysis model, business personnel can quickly complete self-service analysis of visual pages using a "drag-and-drop" method. Simple settings for inter-chart associations, drilling down, filtering, and sorting effects can be achieved, offering data insights with agility.
Rapid prototype modeling, precisely guiding user needs analysis
Visualization dimension and indicator design and management
Visual, drag-and-drop self-service dimension modeling and metric design process, flexible and hierarchical theme analysis and metric management, quickly build an enterprise-level analysis metric system, zero-code model modifications, and automatic adaptation of backend database table structures to model changes.
Rapid visual prototype modeling capability
Rapidly design a prototype of a visual analysis page without connecting to the user's actual data source, achieving "what you see is what you get." The system automatically generates simulated business-related data to support the visual page, quickly guiding business personnel in analyzing ideas, clarifying analysis requirements, and truly focusing on demand-driven approach.
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, text files, and other data sources, with a multi-data 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 distinctive Power Designer-style platform modeling capabilities, combined with enterprise-grade Kimball data warehouse modeling standards, enable rapid business modeling with zero-code development. This allows for the construction of robust 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
Multiple ETL development and design capabilities, supporting SQL and external ETL scheduling, with flexible and highly configurable ETL scheduling strategies. Allows for adaptable organization and setup of different extraction frequencies for various indicators, catering to the real-time analytical needs of diverse enterprise-level BI projects.
Comprehensive genetic analysis capability ensures more robust project maintenance
Based on data warehouse modeling and hierarchical metadata lineage analysis, it clearly reflects the relationships between indicators and data sources, indicators and indicators, indicators and dimensions, indicators and ETL, and indicators and pages within complex data architectures. Metadata tracing allows for 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 (dimensions), and column level (measures) for different organizations and roles. Data security is guaranteed.
Comprehensive 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 requirements.
