Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of an Internal Analytics Dashboard for Data-Driven Decision Making
  1. case
  2. Development of an Internal Analytics Dashboard for Data-Driven Decision Making

Development of an Internal Analytics Dashboard for Data-Driven Decision Making

unosquare.com
Business services

Challenge of Inefficient Data Access and Reporting Processes

The client faces difficulties in consolidating data from multiple sources, leading to time-consuming manual reporting and limited real-time insights, which hamper strategic decision-making and operational efficiency.

About the Client

A mid-sized enterprise specializing in consulting and advisory services seeking to enhance operational insights and reporting capabilities.

Goals for Building an Internal Data Analytics Platform

  • Design and implement a centralized analytics dashboard to streamline data access and visualization.
  • Automate report generation to reduce manual effort and improve accuracy.
  • Enable real-time data monitoring to facilitate quick decision-making.
  • Achieve scalable architecture capable of handling increasing data volumes and user access.
  • Improve decision-making efficiency, resulting in faster strategic responses and increased operational agility.

Core Functionalities for the Data Analytics System

  • Data aggregation module connecting multiple data sources (databases, APIs, CSV files).
  • User authentication and role-based access control for data security.
  • Customizable dashboards with drag-and-drop widget support.
  • Automated scheduled reporting and alert notifications.
  • Real-time data streaming and visualization for key metrics.
  • Historical data analysis and trend visualization.
  • Audit trail and data versioning for accountability.

Preferred Technologies and Architectural Approach

Cloud-based data storage solutions (e.g., cloud data warehouses).
Modern web frameworks for dashboard development.
Real-time data processing technologies (e.g., streaming platforms).
Role-based security protocols.

Necessary External System Integrations

  • Connectors for various internal databases and APIs.
  • Notification systems for alerts.
  • Authentication services for user management.

Essential Non-Functional System Attributes

  • System scalability to support increasing data volume and user load.
  • High availability with 99.9% uptime SLAs.
  • Response times under 2 seconds for dashboard queries.
  • Sensitive data encryption at rest and in transit.

Projected Business Benefits and Improvements

Implementation of the internal analytics dashboard is expected to significantly reduce report generation time, enhance data accessibility and accuracy, and enable real-time monitoring, collectively improving decision-making speed and operational efficiency. Target outcomes include a 30% reduction in report turnaround time and increased executive access to timely insights.

More from this Company

Development of a Cloud-Based Data Analytics and Visualization Platform for a Financial Services Firm
Development of an Advanced Data Dashboard and Analytics Platform for Process Optimization
Development of a Customized Internal Analytics Dashboard for Operational Optimization
Development of an Internal Analytics Dashboard for Improved Data-Driven Decision-Making
Development of a Data-Driven Inventory Optimization and Reporting System for Retail Chain