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Corporate Dashboards and Reporting

Data Processing, Reporting, Graphs, and Dashboards

The projects focus on building a data processing and business intelligence solution that extracts information from multiple databases and external sources, transforms it into clean and standardized datasets, and loads it into a centralized data warehouse or data lake. Once processed, the data is used to generate reports, graphs, and dashboards that provide actionable insights for business users.

Context & Objectives

Purpose: Centralize data from multiple databases, transform it into reliable information, and produce reports, graphs, and dashboards to support decision-making.

Key Users: Executives, BI/Analytics teams, Finance, Operations, Marketing.

Expected Outcomes: Clean and harmonized data, standardized metrics, automated reporting, interactive visualizations, secure and performant access.

Scope and Data Coverage

Data Sources

Relational databases: Oracle, SQL Server, MySQL.

Existing data warehouse (if available)..

External files: CSV/Excel.

Flexible setup of coverage options, riders, and add-ons.

APIs: CRM, ERP, marketing automation tools.

Domains Covered

Sales: orders, customers, products, revenue.

Finance: invoicing, payments, balances.

Expenses: Travel data, Mobile Phone Data, Offices: Data Access.

Ingestion Frequency

Batch: Daily, Monthly or Quarterly.

Near real-time (optional): critical events such as transactions.

Functional Requirements

Transformation

Cleaning: deduplication, null handling, format normalization.

Standardization: common references (customers, Employees, products, currencies, etc.).

Business rules.

Data Quality

Controls: completeness, uniqueness, referential integrity.

Alerts: email / Notifications on failures.

Reporting & Visualization

Scheduled reports: email or shared storage delivery.

Interactive dashboards: filters, drill-down, export options.