Empowering Over 2,000 Employees! How FineBI Impacts Data-Driven Decision Making

Digital transformation has become a critical driver for securities firms, and Founder Securities stands out as a leading example of proactive innovation.

As one of China's earliest comprehensive securities companies, Founder Securities was among the first to join both the Shanghai and Shenzhen Stock Exchanges. The company restructured into a joint-stock enterprise in 2010 and was listed on the Shanghai Stock Exchange in 2011 (Stock Code: 601901).

Today, Founder Securities operates 362 securities branches, 36 futures branches, 24 regional offices, an asset management subsidiary, and six domestic and international subsidiaries. By adopting FanRuan’s BI tools, Founder Securities has empowered its business departments to move beyond traditional manual workflows, fostering more refined decision-making and continuous operational improvement.

Join us as we take a closer look at Founder Securities’ digital transformation journey — and discover how business intelligence is reshaping its future.

From Raw Data to Informative Decisions: Why Choose BI?

Amid intensifying market competition and tightening regulatory pressures driven by broader economic forces, the securities industry is undergoing a pivotal transformation. Founder Securities recognizes that digital transformation is the most effective response to these challenges. By deeply integrating technology with business operations and gaining comprehensive insights into core processes, the company aims to boost operational efficiency, elevate the user experience, and strengthen its overall competitiveness.

Digital transformation should begin by addressing the company’s pain points, with the goal of enhancing business efficiency.

From 2016 to 2021, Founder Securities actively developed a data platform. In the early stages, business teams spent a significant amount of time downloading data from internal systems and consolidating it in local Excel spreadsheets. As a result, although the data platform had taken shape, it hadn’t effectively delivered the intended business value. Further investigation revealed that frontline operations, such as those in local branches, had a far greater need for quickly and efficiently accessing the data they required than for complex data applications like algorithm models, making efficient data retrieval the core challenge for frontline operations.

One clear example of this transformation can be seen in the Operations Center, a back-office department with over one hundred employees. The department oversees a wide range of functions, including centralized service counters, transaction operations, call centers, clearing and settlement, valuation, and account management. In their daily operations, a considerable amount of time and resources were traditionally spent on compiling business data statistics, conducting quantitative analysis, and monitoring business performance—areas that have now been substantially streamlined through the application of FineBI.

"Today, we only need our IT colleagues to help load the system’s raw data tables into the data lake, and we can retrieve, process, and analyze the data ourselves. If we want to update data, change the way data is presented, or update key indicators, we can do it on our own."

—— Cheng Hui, Head of the Operations FineBI Center  

Now, nearly half of the employees use FineBI at least once a month.

Empowering Business with Data, Enabling Decisions with Evidence

FineBI has enhanced work efficiency and fundamentally reshaped how departments think and operate. Its impact on the business has been profound, as highlighted by a real-world example shared by Pang Zhiguo, a BI analyst from the Operations Center.

During the early stages of the merger between Founder Securities and Minzu Securities, the two firms continued to operate with separate trading units under the stock exchanges. However, evolving regulatory and internal management requirements mandated the full migration of all Minzu trading unit users to the Founder trading unit within a defined timeframe. Given the large number of affected clients and the critical need to avoid any disruption to their trading activities, the Operations Center conducted a comprehensive risk assessment. They concluded that without a clear customer transfer strategy and real-time data monitoring capabilities, executing the migration would carry significant risks and therefore required meticulous planning.

After the implementation of the BI data application platform, the Operations Center was able to perform in-depth customer data analysis. Statistical analysis revealed that the Minzu trading unit had approximately 50,000 user accounts. To mitigate transfer risks, the team devised a phased approach based on user categorization. Clients were segmented into three groups according to their account characteristics: accounts with no holdings, accounts with holdings but no recent trading activity, and accounts with recent trading activity. The analysis showed that over 70% of accounts had no holdings, more than 20% had holdings but had not traded recently, and less than 10% were actively trading.

Based on these insights, the Operations Center first transferred accounts with no holdings to the Founder account system, completing this step without any adverse impact. Next, accounts with holdings but no recent trading were moved through a pilot program conducted in a selected region to verify the process’s safety. After successful validation, this group was migrated in bulk. Finally, the small group of actively trading users was transferred in coordination with regional offices, scheduling the migration during periods of minimal trading activity to minimize potential disruptions.

Through this structured, data-driven approach, the Operations Center successfully completed the migration of 50,000 user accounts without affecting client trading operations.

With the rapid growth of business data, business departments now demand faster, more agile, and multidimensional analytical tools to support informed decision-making. Leveraging the data processing and analytical capabilities of BI tools, business teams can quickly gain insights into market trends, customer profiles, and operational performance. This empowers them to make precise, data-driven decisions and seamlessly integrate information from various business segments and customer groups into a unified analytics platform. Moreover, the ability to share departmental data with other teams and partners has significantly improved the efficiency of collaborative business initiatives. Advanced data models now enable the department to monitor customer asset outflows, capital changes, and profit and loss on a monthly basis, providing comprehensive visibility into customer behavior, asset movements, and trading outcomes.

Digital transformation has brought Founder Securities immediate gains and sustainable growth. The company sees this as a pivotal opportunity to deepen reform, drive innovation, and inject fresh momentum into its sustainable development. There is every reason to believe that in the journey ahead, Founder Securities—together with FineBI—will continue to enhance its enterprise data analytics capabilities. With a more open and forward-thinking approach, the company will further embed data analysis into its business operations, delivering stronger, more comprehensive, and more precise data support for informed decision-making.