About the client
The client is a leading telecommunication company that creates custom technology-based network solutions for businesses of all sizes nationwide. They improve human progress through technology by connecting people, data, and applications.
Client challenges
- The client used an on-premises system for storing operators, vendors, and customer data, which was expensive and difficult to maintain.
- The absence of a platform to monitor and track customer behavior, usage, and sentiments resulted in a lack of visibility, making it difficult to gather valuable insights that could facilitate service improvements.
- They wanted to upgrade their system and centralize their data management to remain competitive.
Solution
- LevelShift created an Azure Storage account and developed Snowpipes to move data from the Azure Storage account to Snowflake.
- Performed tokenization, logistic regression, and TF-IDF processes before loading data into Snowflake for further analysis and reporting.
- Created APIs to fetch real-time data about their services across various sources and integrated Power BI into Snowflake to access actionable insights and generate real-time reports.
- Leveraged the Snowflake data and Power BI to provide real-time insights into business performance and future trends.
Benefits
- The integrated and streamlined data architecture improved data quality, consistency, visibility, and access.
- Implemented scalable data solutions for storage, processing, and analytics, significantly reducing operational costs.
- Real-time insights on customer, vendor, and service levels improved their performance and decision-making.
- The Power BI reports enable them to identify customer sentiments and launch custom service offerings.
- The newly implemented Snowflake architecture accelerated query execution, boosting the overall efficiency of their data analysts.