Reporter: Nicole Watson

In the digital age, big data has become a critical asset for businesses worldwide. In recent years, significant advances have been made in big data technology, harnessing its potential to drive economic growth, streamline social governance, and strengthen industry capabilities on a global scale. But there's a problem: Because databases store so much data, it's easy to lose it if we can't quickly find useful information from it.

Fortunately, the rise of the data analytics industry has helped solve this problem and facilitated the widespread adoption of business applications across various sectors such as transportation, communications, logistics, and government services. In today's society, data is considered the most valuable asset that drives innovation and decision-making processes.

“Data analysis serves as a mirror that reflects the current state of social development within a company,” notes data analysis expert Zhengyu Wei. In light of this assessment, many medium and large enterprises have initiated digital transformation efforts, prioritizing the creation of data dashboards for improved business analysis. Ms. Wei, a senior business intelligence analyst at T-Mobile, has used her technical expertise to play a critical role in increasing the company's operational procurement efficiency, improving data visibility and optimizing the application of enterprise data in business operations.

As the company's senior technical data analyst, Ms. Wei assumed key responsibility for preparing data reports for T-Mobile's annual filings with the California Public Utilities Commission (CPUC). Working closely with the procurement team, she provided key data support for the company's 2022 and 2023 government reports. These reports not only highlight T-Mobile's unwavering commitment to diverse sourcing goals, but also demonstrate its strong relationships with numerous small suppliers. Using her precise analysis and professional acumen, Ms. Wei ensured the company's compliance with state and federal regulatory requirements and effectively communicated its achievements in reports. Her contributions have been instrumental in improving T-Mobile's transparency and accountability in the public utility sector and affirming her exceptional talents and influence in the area of ​​data analytics.

Based on her extensive professional experience, Ms. Wei highlights the transformative impact of data application on the accuracy and efficiency of business decisions. “Accurate data analytics enables teams to gain deeper insights into market trends and customer preferences to develop targeted business strategies,” she explains. “In procurement, for example, data analysis optimizes plans, facilitates the smooth execution of large transactions, and results in significant cost savings for the company.” In addition, Ms. Wei emphasizes her role in improving team efficiency through document creation and dashboard development, which garners internal and external recognition and at the same time provides solid data support for T-Mobile's competitive advantage. “The strategic use of data in companies is crucial to driving continuous innovation and business development,” she concludes, highlighting the indispensable role of data-driven approaches in driving growth and adaptation in dynamic market landscapes.

After continuous research, Ms. Wei has achieved numerous research achievements in recent years, such as Quotation Prediction System V1.0 based on Neural Network AI algorithm, which has attracted wide attention at home and abroad. Over the past two years, Ms. Wei has led groundbreaking research projects and developed innovative data extraction methods based on SQL query optimization and data cleansing and transformation processes using Alteryx. These efforts were inspired by challenges she encountered in her daily work. For example, her proposed data extraction methods based on SQL query optimization represent an innovative solution to the data processing hurdles she encounters in her everyday professional life. This method skillfully converts complicated SQL code to PySpark format using advanced data lake house tools such as Azure Synapse and Databricks, thereby increasing computing efficiency. Additionally, trigger pipelines ensure timely data retrieval, with results stored in Azure containers for easy management. This approach not only addresses SQL execution challenges, but also significantly increases data collection efficiency and supports data-driven decision making.

In the digital age, Ms. Wei's remarkable data analysis skills and extensive technical expertise have led to significant successes for T-Mobile and the entire industry. Their contributions highlight the central role of data in business decision-making and illustrate the potential of linking technological innovation to market demand across all cultural contexts.

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