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Development of an Internal Analytics Dashboard to Enhance Data-Driven Decision Making
  1. case
  2. Development of an Internal Analytics Dashboard to Enhance Data-Driven Decision Making

Development of an Internal Analytics Dashboard to Enhance Data-Driven Decision Making

velvetech.com
Information technology

Identifying Challenges in Managing and Utilizing Company Data Effectively

The client faces limitations in accessing and analyzing their enterprise data efficiently, resulting in suboptimal decision-making processes and increased operational overhead. They require a comprehensive internal analytics platform that seamlessly integrates with existing systems and aligns with industry standards to facilitate timely insights and strategic planning.

About the Client

A mid-sized technology solutions provider specializing in custom software development and integration services, aiming to improve internal data insights and operational efficiency.

Goals for Developing an Internal Data Analytics System

  • Create a unified internal analytics dashboard that consolidates data from multiple sources to provide real-time insights.
  • Enhance data accessibility and usability for decision makers across departments.
  • Improve operational efficiency through automated data processing and reporting functionalities.
  • Achieve measurable improvements in decision-making speed and data accuracy, targeting a reduction in report generation time by 30%.
  • Ensure compliance with relevant industry standards and security protocols.

Core Functional Capabilities for the Analytics Dashboard

  • Data Integration Module: Connects to various enterprise data sources including databases, APIs, and file systems.
  • Real-Time Data Processing: Ensures data is processed and updated in real-time for accurate decision-making.
  • Interactive Dashboards: Offers customizable, user-friendly visualizations and insights for different user roles.
  • Automated Reporting: Generates scheduled reports and alerts based on predefined criteria.
  • User Access Management: Implements role-based access control to secure sensitive information.
  • Data Security and Compliance: Incorporates industry-standard security measures to protect data integrity and privacy.

Recommended Technologies and Architectural Approach

Cloud-based data warehousing solutions for scalability
Modern frontend frameworks for interactive interfaces
RESTful APIs for system integration
Big data processing tools for real-time analytics
Security protocols compliant with industry standards

Essential External System Integrations

  • Enterprise databases and data lakes
  • External API services for additional data enrichment
  • Security and authentication systems
  • Notification and alert systems

Performance, Security, and Reliability Standards

  • System scalability to support growth with a target of processing data from at least 50 sources concurrently.
  • High system availability with 99.9% uptime.
  • Data processing latency below 2 seconds for real-time dashboards.
  • Compliance with industry security standards such as ISO 27001 and GDPR.
  • User-friendly interface with minimal training required.

Projected Business Benefits and Metrics for the Analytics System

The implementation of the internal analytics dashboard is expected to significantly enhance decision-making efficiency, reducing report generation and data analysis time by up to 30%. Improved data accuracy and accessibility will empower strategic initiatives, potentially increasing operational productivity by 20% and supporting more informed business decisions, thereby contributing to sustained competitive advantage.

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