Dynamic Report Assembly with Pre-computed Analytics
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Solution Overview
Problem
Account managers lack access to advanced analytics and big data systems, limiting their ability to create tailored and informative reports for clients, which are typically generated manually and lack dynamic business intelligence.
Innovation Solution
A system that merges business intelligence generated on big data systems with static data to create dynamic reports, allowing users to select and arrange presentation pages from both static and dynamic content, enabling the generation of customized reports with dynamic business intelligence analytics and static value stories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If presentations and reports are generated manually by account managers, then the process allows flexibility and customization, but the data analytics capability and time efficiency are limited
Solution Approach 1:
The system performs preliminary actions by pre-generating dynamic report pages through batch processing of business intelligence data before they are needed. The big data system pre-computes analytics, segments them into reusable dynamic pages, and stores them in a library, so that when account managers need reports, the data preparation work has already been completed in advance.
Solution Approach 2:
The system creates reusable templates and dynamic report pages that can be copied and reused across multiple client reports. Instead of manually creating each report from scratch, account managers can select from pre-generated dynamic pages and static content templates, significantly reducing the time and effort required to produce customized reports for different clients.
2Loss of information
If advanced analytics are used to generate dynamic reports, then the information quality and client-specific tailoring improve, but the system complexity and implementation difficulty increase
Solution Approach 1:
The system segments the complex report generation process into distinct, manageable components: static content templates, dynamic report pages, and assembled final reports. Each component can be independently developed, maintained, and reused. The big data system is segmented into data sources, processing engines, and output generators, allowing each part to be optimized separately while maintaining overall system functionality.
Solution Approach 2:
The system introduces an intermediary layer between the complex big data analytics system and the simple report generation needs of account managers. This intermediary consists of pre-generated dynamic report pages that translate complex analytics into ready-to-use content, shielding users from the underlying system complexity while still providing access to advanced analytics capabilities.
3Ease of manufacture
If manual report generation is used, then the process is simple to implement, but the consistency and accuracy of data across reports deteriorate
Solution Approach 1:
The system creates universal templates and dynamic report pages that serve multiple functions and can be reused across different client reports. These standardized components ensure that the same data analytics logic and formatting rules are applied consistently across all reports, eliminating variations that arise from manual generation while maintaining ease of use through template-based assembly.
4Productivity
If account managers create reports with their own creativity and data access, then the process is quick and accessible, but the depth and quality of business intelligence are limited
Solution Approach 1:
The system enables self-service report generation where account managers can independently assemble customized reports by selecting from available dynamic pages and static content. The system automatically handles the complex tasks of data retrieval, analytics processing, and report assembly, allowing users to focus on selecting and customizing content without needing to understand the underlying complex data processing operations.
Data Source
AI summary
A system for generating reports with dynamic business intelligence analytics and/or a static value story may collect parameters defining the scope of a report. The system may select a value story module comprising a set of static report pages for generating the report, and a business insight module comprising a set of dynamic report pages for generating the report. The value story module includes static data related to the scope of the report. The set of dynamic report pages may be generated by a job running on a data storage system. The system may arrange a set of presentation pages into a selected order, with the set of presentation pages being selected from the set of dynamic report pages and the set of static report pages. The system may generate the report in a file format with the report comprising the set of presentation pages in the selected order.