久其软件(002279) - 2014年12月26日投资者关系活动记录表

Group 1: Company Overview and Business Direction - The company focuses on electronic government and group control information technology, with a strategic shift towards mobile internet and big data [3] - The introduction of three self-developed mobile internet applications: Driver Station, Daka Office, and Express products, highlighting their design concepts and functionalities [3] - The establishment of Jiuxi Zhitong for big data business layout, indicating a strategic investment in data analytics [3][6] Group 2: Mergers and Acquisitions - The acquisition of Yiqilian Technology aimed at enhancing business synergy and leveraging innovative technologies for transformation [3] - Yiqilian's main business in iOS advertising wall services, which has shown significant growth due to the increasing demand for mobile advertising [4] Group 3: Product Promotion and Market Strategy - The Driver Station product employs ground promotion and partnerships with logistics companies, achieving a reach of over 50,000 drivers and 4,000 enterprises [4][5] - The Daka Office product is primarily promoted online, focusing on product design and functionality improvements, transitioning from a simple attendance tool to a comprehensive enterprise application [5] Group 4: Competitive Landscape - The mobile internet advertising sector has notable competitors such as Duomeng and Yumi, with Daka's competitive edge stemming from its stable technology platform and quality media resources [4] - The differentiation of Driver Station from similar products lies in its emphasis on interaction among drivers and enterprises, enhancing the active participation of drivers in the freight process [5] Group 5: Investment in Big Data - The collaboration with Zhichun Shengchuang to establish Jiuxi Zhitong aims to enhance capabilities in big data processing and analytics, particularly using Hadoop technology [6] - Jiuxi Zhitong's team possesses extensive experience in the internet sector, contributing to the company's strength in big data applications across various industries [6]