Agile BI, Business-friendly Self-service Analytics
Rich visualization options
Supports all general charts in the visualization analysis field, presenting business analysis ideas flexibly, accurately, and clearly. Compatible with PC, mobile, and large-screen visualization analysis, fully meeting the diverse application scenario requirements and analysis needs for enterprise data visualization construction.
Agile Self-service BI Analysis
Based on a robust underlying business indicator analysis model, business personnel can quickly complete self-service visual page analysis using a "drag and drop" approach. Simple settings for inter-chart correlations, drilling down, filtering, and data refinement can be easily implemented, enabling data insights and agile self-service.
Rapid prototype modeling, precisely guiding user analysis of requirements
Visualization Dimension and Metric Design and Management
Visual, drag-and-drop self-service dimension modeling and indicator design process, flexible and hierarchical theme analysis and indicator management, quickly build a corporate-level analysis indicator system, zero-code model modifications, and automatic adaptation of the backend database table structure to model changes.
Rapid visual prototype modeling capability
Rapidly design a visual analysis page prototype without connecting to the actual user data source. 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 and defining analysis requirements, truly focusing on needs-driven approach.
Agile Data Warehouse Development: Everyone a 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, as well as multi-data source project management approaches, suitable for BI project planning and requirements for multi-systems and heterogeneous data sources.
Model-driven, Agile Data Warehouse Modeling
Pike Data's unique Power Designer-style platform modeling capabilities, combined with enterprise-level Kimball data warehouse modeling standards, allow for rapid business modeling with zero-code development. No advanced BI architect involvement is required to build a robust underlying data warehouse architecture.
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, flexible and highly configurable ETL scheduling strategies, allowing 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 bloodline analysis capability ensures more stable 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 processes, and indicators and pages within complex data architectures. Trace metadata to its roots, and gain a clear understanding of the data flow.
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, ensuring data security.
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 app integration, portal integration, and customizable mobile navigation, offering highly personalized system management to cater to various project requirements.
