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Cloud-Based Data Warehouse and Automated Reporting Solution
  1. case
  2. Cloud-Based Data Warehouse and Automated Reporting Solution

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Cloud-Based Data Warehouse and Automated Reporting Solution

n-ix.com
Information technology
Business services

Business Challenge

The client faced significant challenges with inefficient and costly monthly service report generation. The existing process relied on manual effort and a paid third-party tool due to a lack of a centralized data warehouse and automated reporting capabilities. On-premise infrastructure costs were also escalating, and data was siloed across various systems hindering scalability and data governance.

About the Client

A global provider of managed cloud hosting solutions offering whiteglove services to simplify infrastructure management for its customers.

Project Objectives

  • Migrate on-premise infrastructure to Google Cloud Platform (GCP).
  • Develop a unified data warehouse solution on GCP.
  • Automate the generation of monthly service reports.
  • Reduce operational costs associated with data management and reporting.
  • Improve data accessibility and data quality for reporting purposes.

Functional Requirements

  • Data ingestion from various data sources (Kafka, other vendors).
  • Data standardization and data quality validation.
  • Automated data transformation and loading into BigQuery.
  • Generation of customizable monthly service reports.
  • User-friendly interface for report generation and access.
  • Scalable data warehouse infrastructure.

Preferred Technologies

GCP (BigQuery, Dataflow, Cloud Build, Cloud Composer, GKE)
Kafka
Java (for Dataflow)
Terraform

Integrations Required

  • Kafka Connectors
  • Data source APIs (Cisco, IBM, etc.)

Key Non-Functional Requirements

  • Scalability to handle growing data volumes.
  • High availability and reliability.
  • Data security and access control.
  • Data quality assurance.
  • Performance optimization for report generation.

Estimated Business Impact

This project is expected to result in significant cost savings by eliminating the need for a third-party tool and reducing manual effort. It will improve data accessibility, enable better data-driven decision-making, and streamline the client's reporting processes, leading to increased efficiency and customer satisfaction.

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