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Ad Astra: Revolutionizing Data Reporting and Analytics with AI
Empowering Multilingual Communication with Integrated Data Analytics
Insight
Ad Astra, a global leader in multilingual communication solutions, faced multiple challenges, including delays in reporting and analytics, inaccurate data, and disconnected functional teams due to disparate data stores.
How we helped
- Enterprise64 created an end-to-end solution with a proof of concept to acquire data from various sources and create reports.
- We automated the analytics, which reduced manual efforts and provided a comprehensive view of organizational data.
Project Overview
Enterprise64 partnered with Ad Astra to develop a six-week Proof of Concept (PoC) to automate their data reporting and analytics processes. The solution integrated data from various sources, reduced manual data handling, and created interactive Power BI dashboards for the Accounts and Operations teams. The PoC delivered a scalable, cloud-based environment with automated data refreshes, providing Ad Astra with a single source of truth for cross-functional analysis.
The Challenges
- The client’s teams spent multiple days manually compiling reports, leading to inefficiencies and delays in decision-making.
- Data was stored in disconnected systems, making accessing and analyzing information across departments difficult.
- The absence of a unified data infrastructure prevented the organization from gaining a comprehensive view of its operations.
- Manual data transformations and clean-up efforts further slowed reporting processes and increased the risk of inaccuracies.
The Solution
Cloud-based Data Infrastructure
We implemented an end-to-end data reporting solution as part of the Proof of Concept that incorporated data from multiple sources, streamlined data preparation, and automated report generation.
Automated Data Pipelines
Key features included setting up a cloud environment, data pipelines for standardized data transformation, and creating interactive Power BI dashboards for the Accounts and Operations teams.
Interactive Power BI Dashboards
These dashboards allowed for cross-functional analysis and provided a unified view of the organization.
Self-service Analytics Framework
A self-service framework was introduced for ad-hoc analysis, reducing the dependency on manual reporting efforts.
The Impact
- Automated data refreshes reduced reporting time from several days to under 10 minutes, enhancing overall efficiency.
- The unified data view improved accuracy, eliminating errors caused by siloed data sources and providing a comprehensive dashboard view to the decision-makers.
- By moving past Excel’s limitations, the organization could now perform granular analysis and make data-driven decisions more effectively.
- Ad Astra’s leadership was impressed with the PoC’s success, leading to discussions on expanding the reporting system, setting up a production environment with disaster recovery, and further collaboration.
