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Development of an Internal Analytics Dashboard for Enhanced Data Insight
  1. case
  2. Development of an Internal Analytics Dashboard for Enhanced Data Insight

Development of an Internal Analytics Dashboard for Enhanced Data Insight

innowise.com
Business services

Client Data Management and Insight Challenges

The client faces difficulties in consolidating and analyzing large volumes of internal data from diverse sources, leading to delayed decision-making and suboptimal business insights. The current manual processes are inefficient, limiting agility and scalability for future growth.

About the Client

A mid-sized consulting firm that offers data-driven solutions to its clients, operating globally with a need for streamlined internal data analysis tools.

Goals for Enhancing Data Visualization and Accessibility

  • Implement a centralized internal analytics dashboard to provide real-time data insights.
  • Automate data collection and normalization from multiple internal systems to ensure data accuracy and consistency.
  • Enhance user accessibility with role-based access controls, ensuring secure and tailored data views.
  • Improve decision-making efficiency, aiming for at least a 30% reduction in report generation time.
  • Support scalability to accommodate projected 50% data volume increase over the next two years.

Core Functional Specifications for the Analytics Dashboard

  • Data aggregation engine that consolidates data from various internal sources such as databases, spreadsheets, and APIs.
  • Interactive dashboards with customizable widgets for visual representation of key metrics like sales, productivity, and operational KPIs.
  • Role-based user access management to ensure secure and appropriate data visibility.
  • Automated data refresh scheduling for up-to-date reporting.
  • Export functionality for reports in multiple formats (PDF, Excel).
  • Audit trail and user activity logging for compliance and security.

Technological Framework and Architecture Preferences

Cloud-based infrastructure for scalability and remote access.
Modern JavaScript frameworks (e.g., React or Angular) for a responsive frontend.
RESTful API architecture for integration and data exchange.
Secure database solutions, such as SQL or NoSQL, optimized for large volume data processing.
Data visualization libraries (e.g., D3.js, Chart.js).

External System Integrations for Data Consolidation

  • Enterprise databases and data warehouses for internal data sources.
  • Business intelligence tools for advanced analytics.
  • Authentication systems (e.g., LDAP, SAML) for secure access management.

Non-Functional System Performance and Security Standards

  • System scalability to handle a 50% increase in data volume over two years.
  • High availability with 99.9% uptime SLA.
  • Response time for dashboard interactions under 2 seconds.
  • Data security adhering to industry best practices, including encryption at rest and in transit.
  • Compliance with relevant data privacy regulations.

Projected Business Benefits from the Dashboard Implementation

The new analytics dashboard is expected to significantly improve internal data analysis efficiency, with at least a 30% reduction in report generation time. It will enable faster strategic decisions, support scale-up in data volume, and enhance data security and user roles, thereby strengthening overall organizational agility and data-driven culture.

More from this Company

Development of a Scalable User Engagement and Data Collection Platform
Development of an Internal Analytics Dashboard for Enhanced Data Monitoring
Development of a Secure Internal Analytics Dashboard to Enhance Data-Driven Decision Making
Development of an Internal Analytics Dashboard for Enhanced Data Insights
Development of an Internal Analytics Dashboard for Enhanced Data Management