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Development of an Automated Data Analytics Dashboard for Enhanced Business Insights
  1. case
  2. Development of an Automated Data Analytics Dashboard for Enhanced Business Insights

Development of an Automated Data Analytics Dashboard for Enhanced Business Insights

sparkbit.pl
Business services

Identifying Data Management and Insight Challenges in Business Operations

The client faces difficulties in aggregating and analyzing large volumes of operational data, which hampers timely decision-making and strategic planning. Existing manual processes lead to delays and limited real-time visibility into key metrics across various departments.

About the Client

A mid-sized consultancy firm specializing in data-driven decision support for enterprise clients

Goals for Improving Data Analysis and Business Intelligence

  • Design and implement an internal analytics dashboard that consolidates data from multiple sources
  • Automate data collection, cleaning, and visualization processes to reduce manual effort
  • Enhance real-time data visibility to support faster decision-making
  • Improve data accuracy and consistency to facilitate reliable reporting
  • Achieve a measurable reduction in report generation time and improve insights delivery speed

Core Functional Capabilities for the Data Analytics Platform

  • Real-time data ingestion and processing from various enterprise systems
  • Interactive dashboards with customizable visualizations and KPIs
  • Automated data cleaning, transformation, and validation workflows
  • Role-based user access controls for secure data management
  • Exportable and shareable reports in multiple formats
  • Mobile-responsive interface for on-the-go insights

Desired Technical Stack and Architectural Approaches

Cloud-based data processing and storage platforms
Modern front-end frameworks for dashboard visualization
Automated ETL pipelines for data workflows
Secure authentication and authorization protocols

Essential System Integrations

  • Enterprise resource planning (ERP) systems
  • Customer relationship management (CRM) platforms
  • Business intelligence tools for advanced analytics
  • Data warehouses and external data sources

Critical Non-Functional System Criteria

  • System scalability to handle increasing data volumes (up to 10TB+)
  • High system performance to support real-time data updates with minimal latency (<2 seconds)
  • Robust security mechanisms to ensure data privacy and compliance with relevant standards
  • System uptime and availability of 99.9%
  • Ease of use and minimal training requirements for end-users

Projected Business Benefits and Impact from the Analytics Platform

The implementation of the automated analytics dashboard is expected to reduce manual data processing time by 30-50%, improve decision-making speed with real-time insights, and enhance data accuracy, leading to more informed strategic actions and competitive advantages for the client.

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