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Development of an Internal Analytics Dashboard for Enhanced Data Visibility and Decision-Making
  1. case
  2. Development of an Internal Analytics Dashboard for Enhanced Data Visibility and Decision-Making

Development of an Internal Analytics Dashboard for Enhanced Data Visibility and Decision-Making

innowise.com
Business services

Identified Challenges in Data Accessibility and Reporting Inefficiencies

The client faces difficulties in consolidating and accessing multiple internal data sources for comprehensive reporting, leading to delayed insights and reduced operational efficiency. They require a solution to streamline data collection, analysis, and visualization for better decision-making processes.

About the Client

A mid-sized global consultancy firm with a focus on data-driven services, seeking to optimize internal reporting and analytics processes.

Key Goals for the New Analytics Solution

  • Develop a centralized internal analytics dashboard to provide real-time data visualization.
  • Automate data aggregation from various internal systems to improve reporting accuracy and timeliness.
  • Enhance user access controls and security to safeguard sensitive business data.
  • Improve data filtering, search, and export functionalities for diverse user needs.
  • Achieve measurable improvements in reporting speed and decision-making efficiency.

Core Functional Capabilities for the Analytics Dashboard

  • Dynamic Data Visualization: Interactive dashboards with charts, graphs, and maps that update in real-time.
  • Data Integration: Connectors to internal databases, APIs, and external data sources for automated data ingestion.
  • User Access Management: Role-based permissions ensuring secure data exposure based on user profiles.
  • Filtering and Search: Customizable filters, search options, and data segmentation tools.
  • Export and Reporting: Options to generate exportable reports in multiple formats (PDF, Excel).
  • Automated Data Processing: Scheduled data ETL (Extract, Transform, Load) workflows for up-to-date analytics.
  • Notification System: Alert mechanisms for data anomalies or reporting deadlines.

Technology Stack and Architectural Preferences

Web technologies (React.js or Angular for frontend)
Backend frameworks (Node.js, Python/Django)
Cloud deployment (AWS, Azure, or Google Cloud)
Database systems (PostgreSQL, MongoDB)
Data visualization libraries (D3.js, Chart.js)

External System Integration Needs

  • Internal enterprise databases (SQL/NoSQL systems)
  • API connections to internal tools and data sources
  • Authentication services (OAuth, SAML)
  • Email and notification platforms

Critical Non-Functional System Attributes

  • System Scalability to support increasing data volume and user base
  • High availability with 99.9% uptime requirement
  • Performance benchmarks allowing real-time data refresh with minimal latency
  • Robust security measures including data encryption and role-based access controls
  • User-friendly interface with intuitive navigation

Projected Business Benefits and Performance Improvements

The implementation of a centralized analytics dashboard is expected to reduce report generation time by over 50%, facilitate quicker data-driven decisions, and improve operational efficiency across departments. Enhanced data security and accessibility will also mitigate risks associated with data silos, fostering a more agile organization.

More from this Company

Development of a Scalable User Engagement and Data Collection Platform
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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