Project Name
Automated Enterprise Reporting Platform for Multi-Country Telecom Operations
A leading telecommunications group operating across multiple countries in West and Central Africa relied on a highly manual process to generate its monthly management reports. Finance and operations teams spent several days collecting data from Oracle databases, Microsoft SQL Server, SharePoint, Hadoop (HDFS), and manually uploaded files before consolidating everything into spreadsheets. The fragmented process often resulted in reporting delays, reconciliation challenges, and inconsistent data across subsidiaries.
To modernize its reporting ecosystem, the organization partnered with Ksolves, an AI-first company, to build a fully automated big data reporting platform. The solution centralized data ingestion, validation, transformation, reporting, and dashboard generation while giving business users complete control over formulas, manual adjustments, and report versioning without requiring developer intervention.
The client faced several reporting and data management challenges:
- Fragmented Enterprise Data Sources: Business-critical data was distributed across Oracle, Microsoft SQL Server, SharePoint, HDFS, and manually uploaded files, making consolidation slow and error-prone.
- Lack of Input Data Validation: Uploaded files were accepted without validating structure, formulas, or data quality, allowing incorrect data to enter downstream reporting processes.
- Manual Business Adjustments: Finance teams had no governed mechanism for applying manual corrections or overrides, resulting in uncontrolled spreadsheet modifications.
- Hardcoded Business Logic: Calculation formulas were embedded within application code, requiring developer involvement whenever reporting rules changed.
- No Report Version Control: Multiple report iterations could not be tracked, compared, or restored, and reports were only available in a single format.
- Lengthy Transition Validation: During automation, validating that generated reports matched existing manual reports required time-consuming manual comparisons.
Ksolves designed and implemented a scalable reporting platform that automates the complete reporting lifecycle, from data ingestion to dashboard visualization and report generation.
- Automated Multi-Source Data Ingestion: Built an Apache NiFi-based ingestion framework that automatically collects data from Oracle, Microsoft SQL Server, SharePoint, HDFS, and web uploads through scheduled workflows.
- Intelligent Data Validation: Implemented a validation engine that verifies uploaded files for structure, formulas, mandatory fields, and data types before processing, preventing invalid data from entering the reporting pipeline.
- Enterprise Data Transformation: Developed Apache Spark processing pipelines to perform multi-country consolidation, intercompany eliminations, IFRS 16 calculations, budget-versus-actual analysis, and other business transformations.
- Business-Controlled Formula Management: Enabled finance users to update calculation formulas and apply manual adjustments directly through the web application, eliminating dependency on development teams while maintaining complete auditability.
- Report Versioning and Multi-Format Export: Implemented version-controlled report generation with support for Excel, Word, and PDF exports, allowing users to compare historical report versions and maintain a complete audit trail.
- Dashboarding and Transition Validation: Developed a Python-based comparison engine to validate automated reports against legacy reports during migration and integrated Apache Superset dashboards for real-time business insights across finance and operational KPIs.
Technology Stack
| Category | Technology |
|---|---|
| Frontend | ReactJS, NodeJS |
| Data Ingestion | Apache NiFi |
| Data Processing | Apache Spark |
| Analytics | ClickHouse, Apache Superset |
| Data Storage | PostgreSQL, MinIO |
| Authentication | Keycloak |
| Validation & Automation | Python |
- Reporting Automation Across Multiple Countries: Automated the complete reporting workflow, eliminating several days of manual effort required every month to prepare management reports.
- Daily Data Availability: Replaced monthly batch reporting with automated daily data ingestion, enabling management to monitor operational and financial performance throughout the month.
- Faster Migration Validation: Automated field-level comparison between manual and generated reports, significantly reducing report validation and transition time.
- Improved Data Quality: Prevented invalid files from entering the reporting pipeline through automated validation, improving overall report accuracy and consistency.
- Complete Report Governance: Introduced report versioning, historical tracking, and multi-format exports, providing greater transparency and auditability for finance teams.
- Enhanced Business Agility: Empowered finance users to manage formulas and reporting adjustments independently, reducing turnaround time for business rule changes.
Ksolves helped the telecommunications organization transform a fragmented, manual reporting process into a centralized and automated enterprise reporting platform.
By integrating automated data ingestion, intelligent validation, scalable Spark processing, governed business rule management, and real-time analytics, the solution significantly improved reporting accuracy, operational efficiency, and decision-making. The platform also provides a scalable foundation for supporting additional subsidiaries, new reporting requirements, and future business growth across multiple countries.
Through Big Data Consulting expertise, Ksolves enables enterprises to modernize reporting operations, improve data governance, and build scalable analytics platforms that accelerate business performance.
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