In the DT era, more and more companies have included the application of business intelligence BI as the goal of enterprise informatization construction. The increasing demand for BI market has also spawned fierce market competition among BI vendors, driving the development of domestic BI tools and technologies. mature. BI tool positioning, BI selection background, how to choose BI products?
First: product performance
As users' data sources become more and more extensive, users' preferences for BI are changing. System scalability and reliability. When the amount of enterprise data is small, a single machine can be used for storage and analysis. As the amount of data increases, a single machine is expanded to multiple machines. It is necessary to achieve linear expansion of the system and maintain good system stability. Data processing capabilities. In the era of big data, customers have higher requirements for data processing capabilities and hope to see the results of data analysis soon. It is understood that Smartbi of Sematic software can quickly respond to customer needs and achieve a second-level response of data analysis from tens of millions to tens of billions, allowing users to gradually deepen the analysis results, realize exploratory data analysis, and support more analysis dimensions And value extraction within a larger data range.
Second: the ability of the product to adapt to business scenarios
Customer business scenarios continue to increase and business complexity continues to increase. BI data analysis products need to be able to adapt to the business needs of various scenarios and display them in a good visual manner. Whether it is taxation, finance, health, or real estate, power, manufacturing and other industries, Smartbi covers more than 100 sub-industries, and it can meet the data visualization of different business scenarios through Yixin BI. Smartbi's products can display Midea's business scenarios through visualization tools very well. At the same time, it can help business employees other than IT employees quickly build visualization scenarios for the entire business analysis, so that business personnel can complete data analysis by themselves. This is Smartbi very good. The place.
Third: system scalability and reliability.
With the rapid accumulation of data in enterprises, the amount of data may show explosive growth. BI products must be able to meet the rapidly growing data storage and analysis needs of enterprises, and products and platforms must have strong scalability. When the amount of enterprise data is small, a single machine can be used for storage and analysis. As the amount of data increases, a single machine expands to multiple machines. It is necessary to achieve seamless system connection and maintain good system stability. According to market feedback, Smartbi products have a high degree of support for large-scale concurrency and can support simultaneous use by multiple users.
Fourth: Real-time analysis capabilities.
The traditional data analysis mode generally requires a business department to make a request, the technical department implements it, and then feeds it back to the business department. It usually takes more than a week. In the era of big data, customers have higher requirements for real-time data analysis. They hope to see the results of data analysis soon. Smartbi can quickly feedback customer needs and achieve a second-level response from tens of millions to tens of billions of data analysis, thus allowing According to the analysis results, users gradually deepen, realize exploratory data analysis, support more analysis dimensions and value extraction within a larger data range.
Fifth: R&D team capabilities For corporate customers, only by choosing a big data manufacturer with strong R&D support can they ensure that the purchased products always maintain their technological advancement. Take Sematic software-Smartbi as an example. The R&D department is in an extremely important position in the company. It can not only effectively support the development of performance, but also support the company's strategic advancement. For big data vendors with business layouts across the country and even the world, setting up R&D centers in regions with strong business needs is an important strategic layout. When front-end business personnel feed back customer needs to the R&D department, the nearest R&D center can better communicate with customers and provide quick feedback. Sematic software----Smartbi has branches all over the country, which can respond to customer needs more quickly. The scale of the R&D department must be able to support the business development of the entire company. Efficient execution, mission must be achieved, and continuous improvement according to customer needs.