Agile BI, Business-friendly Self-service Analytics

Rich visual presentation methods
Supports all universal charts for visual analytics, delivering flexible, accurate, and clear presentation of business analysis strategies. Compatible with PC, mobile, and large-screen visual analytics, fully meeting various application scenarios and analysis needs for enterprise data visualization construction.
Agile Self-Service BI Analysis

Leveraging a robust underlying business metric analysis model, business personnel can quickly complete self-service visualization page analysis via a "drag-and-drop" approach. Simple settings for inter-chart correlation, drill-down, filtering, and sorting can be easily implemented, offering data insights with agility.
Rapid prototype modeling, accurately guiding users to analyze requirements

Visualized dimension and indicator design and management
Visual, drag-and-drop self-service dimension modeling and indicator design process, flexible and hierarchical thematic analysis and indicator management, quickly build a corporate-level analysis indicator system, zero-code model modifications, and automatic adaptation of the background database table structure to model changes.

Rapid visual prototype modeling capability
Rapidly design prototypes for visual analysis pages without connecting to users' actual data sources, achieving a "what you see is what you get" experience. The system automatically generates simulated business-related data to support the visual pages, quickly guiding business personnel to analyze ideas and clarify 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 data sources in the market, including unified management of relational databases, big data platforms, text files, and other data sources, as well as multi-data source project management strategies. 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. Even without an advanced BI architect, you can build a robust underlying data warehouse architecture.
Robust ETL scheduling and flexible metric extraction strategies
Robust ETL scheduling and flexible metric extraction strategy
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 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 for different organizations and roles at the business module level, visual page level, row level (dimensions), and column level (measures), 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 – highly personalized system management to cater to various project needs.


























