What can big data do?

1. Speaking of big data, let's talk about business intelligence BI, which uses modern data warehouse technology, on-line analytical processing technology, data mining and data presentation technology to analyze data and realize business value. BI, as a tool, is used to process the existing data in enterprises and transform it into knowledge, analysis and conclusions, thus assisting enterprises or decision makers to make correct and wise decisions. It is a technology to help enterprises make better use of data and improve the quality of decision-making, including data warehouse and analysis system. In order to transform data into knowledge, we need to use technologies such OLAP data warehouse, on-line analytical processing tools and data mining. Therefore, from the technical level, business intelligence is not a new technology, but a comprehensive application of ETL, data warehouse, OLAP, data mining, data presentation and other technologies.

2. It should be more appropriate to regard BI as a solution. The key of business intelligence is to extract useful data from many data from different enterprise operating systems and clean them to ensure the correctness of the data, and then merge them into an enterprise-level data warehouse through extraction, transformation and loading, that is, ETL process, so as to get a global view of enterprise data. On this basis, the appropriate query analysis tools, data mining tools, OLAP tools and so on are used for analysis and processing. (At this time, information becomes knowledge to assist decision-making). Finally, the knowledge is presented to managers to support their decision-making process.

3. Advantages of enterprises introducing BI

1) random query dynamic report

2) Grasp index management anytime and anywhere.

3) Online analysis and processing at any time.

4) Finally, data is used to assist operation planning.

4, the purpose of enterprises to import BI

1) Promote the decision-making process of enterprises: improve the information integration and information analysis ability of enterprises, and integrate the internal and external data of the company into effective decision-making information, so that enterprise managers can greatly improve the efficiency and quality of decision-making.

2) Reduce the overall operating cost: improve the information acquisition ability of enterprises, greatly reduce the time and labor costs of IT personnel to write programs and Poweruser to make reports, and the flexible module design interface does not need to write programs at all, which also greatly reduces the future maintenance costs.

3) Coordinate organizational goals and actions: strengthen the information dissemination ability of enterprises, eliminate the cognitive gap between information demanders and IT personnel, and let more people get more meaningful information. Improve the physical fitness of enterprises in an all-round way, so that everyone in the organization has the same goal, and Qi Xin will work together.

5. The main functions of business intelligence

The technical system of business intelligence is mainly composed of three parts: data warehouse (DW), online analytical processing (OLAP) and data mining (DM).

The main functions that BI system should have:

1) data warehouse: an efficient way of data storage and access. Provide structured and unstructured data storage, large capacity, stable operation, low maintenance cost, support metadata management, and support various structures, such as centralized data warehouse and distributed data warehouse. The storage medium can support near-line storage and auxiliary storage. It can well support the current disaster recovery and backup scheme.

2) Data ETL: Data ETL supports multi-platform and multi-data storage formats (multi-data sources, multi-format data files, multi-dimensional databases, etc.). ) and require automatic search and understanding of data according to descriptions or rules. Reduce the gap between massive complex data and global decision-making data. It is helpful to form reference content to support decision-making needs.

3) Data statistics output (report): Reports can quickly complete the design and display of data statistics, including the style of statistical data tables and the display of statistical charts, and can be well output to other applications or displayed and saved in the form of Html. For the customized design part, it is necessary to provide a simple and easy-to-use design scheme, support flexible data filling and design solutions for non-technical personnel. The publishing of the output content can be completed automatically.

4) Analysis function: analysis content can be formed through business rules, with rich presentation style and certain interactive requirements, such as early warning or trend analysis. It is necessary to support multidimensional online analysis (OLAP analysis) to realize dimension change, rotation, data slicing and data drilling. Help make decisions and make correct judgments.

6. Typical business intelligence systems include:

Customer analysis system, vegetable basket analysis system, anti-money laundering system, anti-fraud system, customer contact analysis system, market segmentation system, credit scoring system, product income system, inventory operating system and application systems related to business risks.

7. Business Intelligence Solution Providers

Famous foreign IT vendors include Microsoft, IBM, Oracle, Microstrategy, Business Objects, Cognos, SAS, etc. Famous domestic BI manufacturers include BDP business data platform and Yonghong BI.