business background
New China was founded 70 years, the Chinese Ministry of Transport in general has formed a multi-node, full coverage of the integrated transport network, "five vertical and five horizontal" integrated transport large channel base through a large number of integrated passenger and cargo hub station (Logistics Park ) put into operation, made a series of achievements of attention, but there are also behind a series of big data application problems:
- Decentralized systems, data silos, located in various transportation logistics and transport business systems, it is difficult to integrate analysis;
- Traditional real-time monitoring systems, transportation management systems, project implementation system, project operation and maintenance system developed a single report relatively poor flexibility, low interaction can be difficult to conduct in-depth analysis in order to answer deeper business issues;
- Transportation logistics and transportation field all the time produce large amounts of data, and increase the speed of data faster and faster, which in the end is the value of the data or garbage depends on whether we can really dig out their potential hidden in the data;
Technology Architecture
In order to solve the problem of traffic information logistics and transport industry is currently facing, we need more than just a tool, but rather a complete and effective solution for large data quickly build up large data analysis platform, to quickly release data on business collaboration value.
Here we FineBI as an example, FineBI technology architecture from the source data docking, data extraction transformation, data warehouses, data marts, to meta-analysis, self-analysis, by setting strict data specifications define, establish and improve the quality of data protection rights responsibility system, complete FineBI transportation logistics and transport industry, big data technology application architecture as shown below:
Source data, open up the transportation management system, warehouse management systems, human resources systems, financial systems and other third-party data, eliminate data silos and data extraction, data conversion, data loading data quality management, followed by ODS, data integration DWD, DWS, ADS write data warehouse, data marts and output to data modeling, according to business decision-making, operational analysis, integration analysis of financial analysis, cost analysis, data visualization basic subjects achieved through FineBI display, and data types of flexible scenario analysis to explore the buffet.
Specific Solutions
1. Public transport large data management platform
Earlier in the face of visual display needs of large-screen monitor data traffic, usually carried out by the parties through codes outsourcing projects and other forms of development, and art through continuous optimization to adjust, and eventually delivered to the relevant departments for review and on-line. The problem is brought about in this way, large-screen billboards from requirements gathering to cycle on the line is too long, can not respond in a timely manner the needs of show business.
FineBI through the dashboard, you can quickly manage big data platform for public transport data and charts showing the layout of the design, the public bus large ones, total car trips, departure time distribution, the number of travel distribution and other key indicators of large-screen billboards show, get management leadership quickly master effective real-time data.
The figure is FineBI making public transport large data management platform, through this platform we can according to the peak of public transport routes, rational planning the route, reducing travel traffic congestion; real-time monitoring of the current state of the data platform, by setting a good early warning value data early warning, timely adjustment of public traffic management strategies; through the core data screen design and layout beautification, key indicators at a glance.
2. Logistics Business Analysis
In responding to some of the business units sudden, real-time data analysis needs, the lack of agile BI tools, already in the system immobilized the report is still a bit stretched, not in-depth exploratory analysis of business data, resulting in IT sector demand for the business sector can not respond in a timely manner.
Such as logistics management analysis, sometimes there will be a month of monthly data appear abnormal decline in gross profit, the traditional monthly, quarterly and other reports can not be immobilized in-depth answer leads to the true nature of the cause of the decline data.
And with FineBI OLAP multi-dimensional analysis of the linkage characteristics of the product, drill, etc., in order from the customer division> branch> Customer transport destination> route destination to drill-down analysis, you can dig out results in March 2018 gross margin decline reasons, timely adjustment of operating strategy issues line;
This program is the biggest benefit greatly liberated the enterprise IT manpower compared to traditional enterprise data workflow, FineBI enterprise self-service workflow do not need IT staff to solve the problem scenario and analysis needs, while business people can make self-analysis, greatly improving the efficiency of the analysis and application efficiency data services.
3. Kanban Logistics
对于物流运输管理而言，构建关键指标的物流看板是极为重要的，但是实际上很多数据并没有真正利用好：比如当前物流发货总件量是多少？签收数量和签收占比如何？哪些地区72H到件量最低？物流货运时效如何，时效大于等于三天的件量和占比分别是多少等等。
为此，可以通过FineBI整合相关物流系统的运输数据，将不同系统、不同数据库中数据整合，然后通过图表和明细数据，合理布局引导，构建仪表板进行统一展现，让业务管理部门充分把握物流信息。
另外，通过FineBI的实时监控系统，可以及时发现业务的异常点，建立高效的异常处理流程，及时改进异常点。
4.物流流向分析
作为物流看板的一部分，物流流向分析自然是不可或缺的，包括某个城市的总签收件数、总发货件数、总签收占比等等。同样的，可以通过FineBI整合相关物流系统的运输数据，将不同系统、不同数据库中数据整合，然后通过图表和明细数据，合理布局引导，构建仪表板进行统一展现，让业务管理部门充分把握物流流向信息。
构建快递流向分析看板，按照流向统计分析数据，关键指标一目了然。
5.物流时效分析
物流时效分析，同样也是作为物流看板的补充：比如各个省份地区，哪些省份物流时效最高，时效低的又是哪些省份，分别有什么特征？不同大区是否有明显物流时效差异，是否和地区基础物流建设水平有关？同城配送平均时长超过三天的有哪些地区，分别是什么因素导致的，如何改进？这一点可以通过FineBI构建快递流时效看板，按照不同地区配送时效统计分析数据，关键指标一目了然。
6.航空流量分析
对于航空运输领域而言，需要关注以下问题：分析机场覆盖有哪些国家和通航地区，对应地区的机场数量有多少？国内和国际的客户市场份额占比如何，对应承运的航空公司分别有哪些，旅客吞吐量和比重分别是多少？不同月份的起降架次和旅客吞吐量走势如何，什么时候是航空出行高峰期？对于航空管理部门来说，通过FineBI可以快速构建航空运输管理看板，按照不同承运的航空公司进行吞吐量等数据的统计分析。
Finally, the introduction of this program and all data used in the demo is free, interested can get a free demo landing www.finebi.com address and FineBI free personal edition!