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Centralized Data Dashboard Aggregation Platform
  1. case
  2. Centralized Data Dashboard Aggregation Platform

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Centralized Data Dashboard Aggregation Platform

spyro-soft.com
Financial services

Data Silos and Lack of Centralized Data Access

KKR employees and business partners currently lack a centralized, easily accessible platform to view dashboards and data insights from various tools like Tableau and PowerBI. This results in inefficiencies, duplicated efforts, and hinders data-driven decision-making.

About the Client

Global investment firm specializing in private markets across various asset classes.

Project Goals

  • Provide a single, unified platform for accessing dashboards from different data sources.
  • Increase employee productivity by streamlining data access.
  • Improve data visibility and foster a data-driven culture.
  • Recognize and promote internal data expertise and contributions.

Functional Requirements

  • Dashboard Aggregation: Aggregate dashboards from Tableau, PowerBI, and potentially other data visualization tools.
  • User Authentication and Authorization: Secure access to the platform with role-based permissions.
  • Dashboard Discovery: Enable users to easily search and find relevant dashboards.
  • Tabular Data View: Present dashboard data in a user-friendly tabular format.
  • Dashboard Endorsement: Allow users to endorse and provide feedback on dashboards.
  • User Profile Management: Allow users to manage their profile and preferences.

Preferred Technologies

NodeJS
React Native
Selenium
AWS

Integrations Required

  • Tableau API
  • PowerBI API
  • AWS Services (Lambda, API Gateway, CloudFront, RDS, S3, WAF2, IAM, Code Pipeline, Code Build)

Key Non-Functional Requirements

  • Scalability: The platform must be able to handle a growing number of users and dashboards.
  • Performance: The platform should provide fast and responsive dashboard access.
  • Security: The platform must be secure and protect sensitive data.
  • Reliability: The platform should be highly available and reliable.

Expected Business Impact

The implementation of this platform is expected to significantly improve operational efficiency, empower data-driven decision-making, and foster collaboration within KKR. It will also improve the visibility of internal data expertise and promote a more data-centric culture, leading to increased productivity and recognition for contributions.

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