About Client:
BI analytics for telecom plays a critical role for the client, a billion-dollar telecommunications company founded in 1987 and headquartered in Tampa, Florida. As a long-established player in the telecommunications industry, the organization delivers mobile messaging and communication solutions to enterprise clients across multiple regions. With massive volumes of transactional and messaging data generated daily, the client relies heavily on accurate, timely, and scalable analytics to support operational monitoring, enterprise reporting, and financial decision-making.
Background:
Since July 2021, the client has been leveraging an internal BI system to provide visibility into messaging data for both internal stakeholders and enterprise customers. This system enabled reporting on key telecom metrics such as message volumes, delivery status, revenue, and operational performance.
However, as the business expanded and data volumes increased, reporting requirements became more complex. While the existing setup delivered baseline visibility, it lacked the flexibility and usability expected from modern BI analytics telecommunications platforms. Business users needed faster access to insights, improved customization, and the ability to generate reports independently without constant support from technical teams.
To support growing enterprise demands and improve reporting efficiency, the organization sought to strengthen its telecom BI reporting solutions using MicroStrategy as a core analytics platform.
Challenge:
The client faced multiple challenges that limited the effectiveness of their BI environment:
- Lack of MicroStrategy expertise
The internal team did not have sufficient resources with deep MicroStrategy expertise, slowing down development, enhancements, and issue resolution. - Limited usability and customization
The existing BI system was not user-friendly and offered minimal customization options, reducing adoption among business users and increasing reliance on technical teams. - Disconnected data access
The data source powering the BI system did not have direct access to the current data lake. This made report development and scheduling time-consuming, as queries required significant manual effort. - Operational inefficiencies
Manual processes and effort-intensive queries increased turnaround time for new reports and delayed access to critical insights. - Scalability constraints
As messaging volumes and enterprise client requirements grew, the BI platform struggled to scale efficiently.
