Data-Driven Decision-Making Platform
Enterprise transformation success is inseparable from data. We build real-time data collection, analysis and visualization platforms for enterprises, making data the core driver of business decision-making.
Empower Every Decision with Data Support
With a Decade of Expertise, We Make Transformation More Stable, In-depth and Effective
With a Decade of Expertise, We Make Transformation More Stable, In-depth and Effective
Data Collection
By building a unified data access layer, GeekBeat breaks down internal and external multi-source data silos of enterprises. Whether it is business system data, user behavior data or device-end data, we can achieve omnichannel collection and standardized processing. We build a secure and scalable data infrastructure for enterprises, enabling every piece of data to be integrated, tracked and utilized.
Data Visualization
We transform complex business data into intuitive, easy-to-understand visual charts and dashboards. Through interactive interfaces and multi-dimensional display methods, we help management quickly gain insights into key indicators and abnormal trends. GeekBeat’s data visualization solutions make decision-making processes more efficient and information dissemination more accurate, truly enabling a data-driven work model.
Real-time Analytics
Based on high-performance computing and stream processing architecture, GeekBeat enables real-time data collection, calculation and feedback. The system supports second-level response, allowing business departments to grasp market dynamics and operational status instantly. Whether it is inventory monitoring, sales trends or risk early warning, we can provide enterprises with real-time and accurate analytical support.
Intelligent Forecasting
Leveraging AI and machine learning models, we help enterprises extract patterns and gain insights into trends from historical data. The system can automatically generate forecasting models to predict trends for key indicators such as sales, demand and supply chain. GeekBeat empowers corporate strategic decision-making with intelligent forecasting, enabling data to not only "record the past" but also "foresee the future".
我们的软件定制开发流程
需求分析
深入了解客户业务与目标，明确核心功能与实施路径。 结合行业趋势与竞争格局，确保项目方向精准落地。
参与角色
立即咨询架构设计
根据项目规模与性能需求，制定高可扩展的系统架构。 选择合适的技术栈与框架，兼顾安全性、稳定性与维护成本。
参与角色
立即咨询体验设计
以用户为中心，设计简洁高效的界面与交互流程。 通过视觉统一与信息分层，提升品牌形象与使用体验。
参与角色
立即咨询系统开发
高标准实现前端与后端功能模块，构建安全、稳定、可扩展的整体系统。 前端确保视觉与交互一致性，后端保障数据流转与业务逻辑高效协同。
参与角色
立即咨询测试验收
执行全流程功能、性能与安全测试，及时发现并修复潜在问题。 确保产品在上线前达到最佳的稳定性与质量标准。
参与角色
立即咨询部署上线
依据项目部署计划进行环境搭建、代码发布与安全验证。 确保系统稳定上线，并完成性能监控、数据初始化与运行校验。
参与角色
立即咨询运维优化
上线后提供持续运维、性能监控与功能迭代支持。 定期优化系统表现，确保业务长期高效运行。
参与角色
立即咨询
Can Continuous Optimization Be Achieved After Transformation?
Yes. A digital system is not a “one-off project” but an ongoing, evolving process. We continuously optimize system versions based on data feedback and user behavior, ensuring the system is better aligned with business changes and enabling true dynamic upgrades.
How to Ensure System Stability After Launch?
How to Evaluate the ROI of Digital Transformation?
ROI is not measured merely by cost recovery, but by the combination of efficiency improvement, decision-making quality, and labor cost savings. We will jointly define key performance indicators (KPIs) at the project outset—such as process cycle reduction and labor savings rate—and continuously track data post-launch to measure the input-output ratio with tangible results.
What Is the Typical Timeline for Process Digitalization Transformation?
Can It Be Implemented Simultaneously Across Multiple Subsidiaries/Branches?
Yes. The system supports parallel deployment across multiple subsidiaries and branches. We will design a hierarchical permission and data isolation solution based on your organizational structure to ensure independent operation and centralized management of each branch, as well as accurate and secure data aggregation.
Can the Data Platform Be Integrated with Existing ERP/CRM Systems?
Yes. We support interfaces for mainstream ERP/CRM systems (including SAP, Kingdee, UFIDA, Salesforce, etc.), which can be integrated via API or middleware layers. There is no need to rebuild existing systems, enabling seamless data connectivity and integration within your current architecture.
