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

Business services

Identifying Data Visibility and Decision-Making Challenges in Business Operations

The client faces difficulties in consolidating and analyzing operational data across multiple departments, leading to limited visibility into key performance metrics and hampered decision-making processes. Current tools lack real-time capabilities and integration, resulting in delayed insights and inefficiencies.

About the Client

A mid-sized enterprise in the business services sector seeking to improve operational insights and strategic planning through an advanced analytics platform.

Goals for Enhancing Data Accessibility and Business Intelligence

Develop an internal analytics dashboard that consolidates data from diverse sources into a single, accessible platform.
Enable real-time data visualization and reporting to support prompt decision-making.
Improve data accuracy and consistency across systems to enhance trust in reports.
Reduce time spent on manual data compilation and analysis by at least 30%.
Support scalability to handle increasing data volume growth and additional data integrations over time.

Core Functional Requirements for the Analytics Platform

Data integration engine capable of connecting to various data sources (databases, APIs, flat files).
Real-time dashboards with customizable widgets for KPIs and metrics.
Automated report generation and scheduling features.
Role-based access control to ensure data security and compliance.
Interactive data filtering and drill-down capabilities for detailed analysis.
Data validation and reconciliation tools to ensure data integrity.

Preferred Technologies and Architectural Approaches for Implementation

Cloud-based infrastructure (e.g., cloud platforms hosting data processing and storage)

Modern front-end frameworks (e.g., React, Angular, Vue.js)

Backend services utilizing scalable APIs (e.g., RESTful services, microservices architecture)

Data visualization libraries (e.g., D3.js, Chart.js)

Data warehousing solutions for consolidating large datasets

Necessary External System Integrations

ERP and CRM systems for operational data
External APIs for live data feeds
Authentication and identity management systems
Data storage solutions (cloud databases, data lakes)

Key Non-Functional Requirements for System Performance and Security

System must support concurrent user access of at least 200 users.
Dashboard should load within 2 seconds for standard data views.
Data encryption both in transit and at rest to ensure security.
Availability target of 99.9% uptime.
Scalability to expand data processing capacity by 50% annually.

Projected Business Benefits from the Analytics Platform

The new analytics dashboard is expected to significantly improve decision-making speed and accuracy, leading to increased operational efficiency. It aims to reduce manual data analysis time by at least 30%, enhance data-driven strategies, and support business growth by enabling more responsive and informed decisions.