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

Development of an Internal Analytics Dashboard for Enhanced Business Insights

innowise.com
Business services

Identifying Data Visibility and Reporting Challenges in Business Operations

The client currently faces difficulties in accessing real-time, consolidated data across various departments, leading to delayed insights and suboptimal decision-making. Existing analytics tools do not provide sufficient customization or scalability to support their growing operational needs.

About the Client

A mid to large-sized enterprise specializing in professional services, seeking to improve data visualization and analytics capabilities for better strategic decision-making.

Goals for Improving Data Analytics and Reporting Infrastructure

  • Design and implement a centralized internal analytics dashboard to aggregate data from multiple sources.
  • Enhance data accessibility and visualization to facilitate quicker decision-making processes.
  • Improve system performance to handle large volumes of data with high responsiveness.
  • Ensure secure access controls and compliance with data privacy standards.
  • Enable customizable reporting features for different stakeholder needs.

Core Functional Capabilities for the Analytics Dashboard

  • Dashboard modules displaying key performance indicators (KPIs) and metrics relevant to business operations.
  • Data aggregation engine capable of connecting to multiple data sources (databases, cloud services, API endpoints).
  • Role-based access control for secure and customized user experiences.
  • Interactive filters and drill-down capabilities for detailed analysis.
  • Automated report generation and distribution via email or integrated notification systems.
  • Responsive design for accessibility on various devices.

Preferred Tech Stack and Architecture Approaches

Modern web frameworks (e.g., React, Angular) for the dashboard interface.
Backend services utilizing scalable cloud-based data processing (e.g., Node.js, Python).
Data storage solutions such as relational databases and data warehouses.
Use of RESTful APIs for integrations.

Necessary External System Integrations

  • Existing enterprise data sources (databases, CRM, ERP systems).
  • Cloud storage solutions for data retrieval.
  • Notification and reporting tools.
  • Authentication systems for secure login.

Essential Non-Functional System Attributes

  • System scalability to support increasing data volume and user base.
  • High system availability with 99.9% uptime.
  • Response time under 2 seconds for most data queries.
  • Robust security protocols including data encryption and access controls.
  • Compliance with relevant data privacy standards.

Projected Business Benefits from System Implementation

The deployment of the internal analytics dashboard is expected to streamline data access, reduce reporting time by up to 50%, and improve decision-making efficiency. Additionally, enhanced data security and scalability will support ongoing organizational growth and data-driven initiatives.

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