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Development of a Secure Internal Analytics Dashboard for Business Performance Optimization
  1. case
  2. Development of a Secure Internal Analytics Dashboard for Business Performance Optimization

Development of a Secure Internal Analytics Dashboard for Business Performance Optimization

innowise.com
Business services

Identifying Challenges in Data-Driven Decision Making within Business Services

The hypothetical client faces difficulties in aggregating and analyzing internal operational data due to disjointed systems and lack of a centralized analytics platform. This hampers timely decision-making and strategic planning, leading to suboptimal performance and delayed responses to market changes.

About the Client

A mid-sized enterprise specializing in providing professional services, aiming to enhance internal decision-making processes through advanced data analytics tools.

Key Goals for Improving Business Insight and Operational Efficiency

  • Design and implement a centralized, secure analytics dashboard that consolidates data from multiple internal systems.
  • Enable real-time data visualization and reporting to support quick decision-making.
  • Improve data accuracy and consistency across reporting modules.
  • Reduce manual data processing efforts and minimize errors.
  • Achieve measurable improvements in operational efficiency and decision speed.

Core Functionalities and Features of the Analytics Dashboard

  • User authentication and role-based access control to ensure data security.
  • Integration with internal data sources such as CRM, ERP, and internal databases.
  • Real-time data streaming and update capabilities.
  • Customizable dashboards with drag-and-drop components.
  • Export options for reports in multiple formats (PDF, Excel).
  • Automated data refresh schedules and alert notifications for anomalies.
  • Audit logging for all user actions and data changes.

Technology Stack and Architectural Preferences

Web-based application built with modern frameworks (e.g., React, Angular).
Backend built with robust server-side technologies (e.g., Node.js, .NET Core).
Database systems optimized for analytics (e.g., SQL Server, NoSQL options).
Cloud deployment options for scalability and remote access.

External Systems and Data Sources Integration Requirements

  • CRM systems for customer data.
  • ERP solutions for operational data.
  • Internal data warehouses or data lakes.
  • Authentication services for secure user access.

Non-Functional Specifications for System Performance and Security

  • System should support at least 500 concurrent users.
  • Dashboard load times under 2 seconds for data refresh.
  • 99.9% uptime with disaster recovery mechanisms.
  • Strong encryption for data at rest and in transit.
  • Compliance with relevant data protection and privacy standards.

Projected Business Benefits and Performance Improvements

The implementation of the analytics dashboard is expected to significantly enhance decision-making speed, enabling operational adjustments within hours rather than days. This improvement is projected to increase overall operational efficiency by over 20%, reduce manual reporting efforts by 50%, and provide the organization with faster insights into performance metrics, leading to more agile business strategies.

More from this Company

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Development of a Secure Internal Analytics Dashboard to Enhance Data-Driven Decision Making
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Development of an Internal Analytics Dashboard for Enhanced Data Management