case study

Enterprise Data Sharing Platform

Public Sector

Business Impacts

Data Storage & Security

Increased Data Accessibility

Reduced Manual Effort

Customer Key Facts

  • Location : North America
  • Industry : Public Sector

Problem Context

As procuring cross-departmental data was a manual and time-consuming process, the customer wanted to build an Enterprise Data Platform that can house, manage, and enable enterprise data sharing. They sought to alleviate the challenges that state departments face when accessing the information due to the lack of visibility on available data.

Challenges

 

  • State Department personnel need to access data residing with other departments
  • Communication between the various departments is difficult due to the lack of visibility on available data
  • The users are not able to securely log into the platform, retrieve data, and dynamically get approvals according to the defined protocols

Technologies Used

Google's BigQuery

Google's BigQuery

Google Stackdriver

Google Stackdriver

Google Cloud Storage

Google Cloud Storage

Cloud Load Balancer

Cloud Load Balancer

Google Cloud Armor

Google Cloud Armor

Google App Engine

Google App Engine

Google Datastore

Google Datastore

Building an Enterprise-Level Agnostic Data Management Platform

Solution

Quantiphi built a data platform which serves as an agnostic data management and data sharing environment that can be instantiated at will to solve various data sharing needs within the enterprise. The team utilized Google's BigQuery to help the state department personnel access data residing with other departments.

To demonstrate how to access data from other departments via the platform, an application on Google App Engine was built, allowing users to dynamically upload a schema, ingest data files, and get retrieval tokens. The platform, thus, can handle sensitive information through encryption and decryption.

Result

  • Ease of access to data between different departments and agencies in the region
  • Transparent view of all the datasets present
  • Enable users to access information securely

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