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Read the 2022 Gartner ABI report to learn more about quick Bi From Quick Bi white paper

The following is the Read the 2022 Gartner ABI report to learn more about quick Bi From Quick Bi white paper recommended by recordtrend.com. And this article belongs to the classification: big data, Data center, Industry information.

Recently, Gartner ® Released the Magic Quadrant report of business intelligence and analysis platform in 2022 ™ (Magic Quadrant for analytics and business intelligence platforms), Alibaba cloud quick Bi has been on the list for three consecutive years and has become the only Chinese product in this field!

Continuously selected into the international authoritative Bi list, what is the magic of quick Bi?

We will learn more about Alibaba’s quick data incubation scenario.

Origin of quickbi

Alibaba Group has hundreds of thousands of employees in hundreds of departments. Facing various complex business scenarios every day, it needs a bi tool with comprehensive ability, powerful function and flexible response to various data analysis and visualization demands. In the process of exploration, Ali has tried to use various data report tools developed by external companies, and various internal departments of the company have incubated a variety of different types of data analysis tools (some for complex forms, some focus on rapid report production, and some only support the construction of mobile end reports), but they have not achieved the desired results. In this context, Alibaba finally developed its own quick Bi product that can conduct data analysis based on the company’s overall business. It can not only build a strategic analysis and decision-making platform for the management of the service group, but also build data applications for various vertical businesses (such as building data applications for promoting the analysis of marketing activities in the double 11 e-commerce businesses). At the same time, it is also a necessary daily data analysis and data access tool for many front-line operations, products and R & D.

Based on the experience of Alibaba’s internal BI application, quick Bi began to export the ability and concept of full scene data consumption to external enterprises with digital demands. This ability can serve both large group companies with hundreds of thousands of employees and small start-ups with several people; It can not only adapt to the rapid development and changes of retail and Internet enterprises, but also meet the high standard requirements of government and financial customers; Enterprises can choose quick Bi on a variety of platforms, such as placing an order to purchase SaaS services directly from Alibaba cloud, deploying in a private environment or other cloud platforms, or using it online in business consultants and nails.

As a bi product of full scene data consumption launched by Alibaba, quick Bi adheres to the mission of helping enterprises consume and use data in various business scenarios and making business decisions within reach, and helps enterprises build data analysis platform and decision support system through intelligent data analysis and rich visualization capabilities. Through the simple and beautiful dashboard, spreadsheet with complex format, cool large screen and data portal with analytical ideas, you can not only use quick Bi to build a management oriented decision analysis platform and build vertical data applications for different businesses, but also integrate and embed data analysis in your business process, or directly build a self-service analysis tool and report platform for all employees.

Through quick Bi’s powerful office collaboration ability, enterprises can obtain data value on computers, mobile phones, tablets, large screens and other devices anytime and anywhere, quickly synchronize analysis and visualization results in nailing, enterprise wechat and flybook through emails, messages and work notices, and discuss and analyze business progress and Countermeasures in the work group at any time. Enterprises have accumulated huge data assets through business activities. Quick Bi can make the enterprise’s data assets circulate quickly among the company’s personnel and organizations, mine the value behind the data through the combination of Bi and AI, and promote the data consumption in various scenarios within the enterprise to generate business value.

In this year’s report, Gartner mentioned three core advantages of quick Bi: office collaboration, business integration analysis driven decision-making, and data culture cultivation.

Next, make further analysis on the technical highlights of quick Bi.

Technical highlights of quickbi

L) quick capability of technical highlights

“Quick” is the goal that the product always pursues. In recent years, quick Bi has also been committed to achieving fast presentation, fast computing and providing smooth experience for users. Specifically, in the process of data report development, a large amount of level data needs to respond within a certain range of time, that is, the calculation should be fast; Facing the viewer of the report, the first screen opening and drop-down loading time need to be completed within a certain range, that is, the display should be fast.

Quick Bi’s computing engine and rendering engine fully accelerate the use of enterprise Bi in a dual engine way.

1. Computing engine: on the basis of direct connection mode, acceleration mode, extraction mode and intelligent cache mode are added. Users can select the mode by configuring switches according to the different needs of different scenarios. Gaining accelerated experience in the process of data set development and data work production can effectively improve the data query speed of users’ reports and reduce the pressure of users’ database query.

2. Rendering engine: it is responsible for obtaining the contents of visible pages, including images, charts, etc., sorting out data information, calculating the display mode of web pages, and then outputting and displaying them. Due to the complexity of reports (dashboard, spreadsheet, portal, etc.) in Bi scenarios, the acceleration of rendering engine can directly affect the opening speed of quick Bi reports and optimize users’ report reading experience. The acceleration action of the rendering engine does not need any configuration and silently serves the whole analysis process.

After a series of core capability upgrades and targeted optimization of specific scenarios, the average FPS (frames transmitted per second) can reach about 55. Under more complex reports, the first screen loading time is controlled within 3 seconds (2 seconds for medium simple reports). Combined with quick engine, it can also support the display of reports with 1 billion data in 3 seconds.

L. office collaboration of technical highlights

The ability of mobile terminal and office collaboration is a highlight of quick Bi. At present, it has provided the access ability of nailing, enterprise wechat and flying book. Customers only need to configure the relevant configuration information to quickbi to connect with the accounts, login, subscription, message push and other businesses of nailing, enterprise wechat and flying book.

Quick Bi supports deep integration with mainstream im / OA applications. Customers can simply configure the application information on quick Bi and complete the docking on identity authentication, user management, message push and other features for different platforms. For customer pain point scenarios, such as login authentication, mobile terminal report access, report subscription, monitoring alarm and so on, it has achieved support, and can achieve the same effect on all platforms.

Quick Bi is deeply integrated with nailing ecology to create nailing intelligent report, support enterprise data sharing, comment, annotation and other data collaboration capabilities, and help the analysis and push of OA approval, personnel and other data of three-party enterprises.

L) open integration of technical highlights

Gartner report points out that the difference between visualization is no longer the difference between different ABI products. The greater difference comes from the support for “integration”. In essence, BI products cannot exist independently. As the last kilometer of the data link, enterprises often need to integrate Bi systems with their own systems, and integrate Bi reports into customers’ own systems through embedding capabilities. Therefore, the ability of integration is the key core ability to help enterprise customers realize “turn insight to action”.

With the increasing customer base supported by quick Bi, the integrated scenario requirements are becoming more and more diverse. For customers’ demands for system integration in Alibaba, quick Bi can provide integrated connections such as nailing smart reports and Alibaba business consultants; For the demand of external system integration, quick Bi not only provides single tenant management services for many independently deployed enterprise customers, but also has ecological SaaS service integration like ruiben cloud. Therefore, it is necessary to abstract the general open integration capability in order to support rich customer integration scenarios and improve the commercialization capability of products.

As can be seen from the above figure, quick Bi provides customers with the ability of system integration mainly through login authentication, embedded analysis, user-defined extension, process integration, data service and other aspects.

In addition, see 2022 quick Bi product white paper for product completeness functions such as intelligent small Q, intelligent monitoring, interactive analysis and ad hoc analysis (which can be downloaded at the end of the text)

Although the competition in the field of business intelligence software is fierce and there are a large number of giant manufacturers, there is still great development potential in China. Globally, data and analysis leaders are gradually shifting their focus from tools and technologies to decisions as business capabilities. Relying on Alibaba cloud data center, while constantly polishing its product capabilities, quick Bi actively interacts with cloud products and productivity software, so that data analysis capabilities can benefit small and medium-sized enterprises in all vertical fields and maximize business decision-making capabilities. This is consistent with the strategy of powerbi and other products in the leader quadrant. We believe that quick Bi will go further in improving customer value and responding to the growing demand for influence.

More reading: increased competition for shared power bank, Quick Bi helps caller technology strengthen refined operation Alibaba cloud data center 2021 product Yearbook daily broadcast: take advantage of the data center to become a designer clothing brand that understands consumers better. Alibaba cloud quick Bi and Microsoft cloud power Bi actually compare the design logic of Alibaba cloud data center products: the design idea of systematic matrix data products, and the business staff join hands with quick Bi to create a new function “self-service analysis” Data processing has been reduced from one hour to one minute. The ROI of new products has increased by 322% and the live broadcast conversion has increased by 11 times. They have done the same thing with Alibaba cloud retail industry data center. How to ensure the effectiveness and diversity of business report data Accuracy: I realized automatic modeling with dataphin. Alibaba cloud data center announced to upgrade products from 2 to 4 and launched four industry solutions. How to choose products suitable for your enterprise data management? Alibaba cloud data center heavy upgrade plans to support the digital intelligent transformation of more than 1 million enterprises. Alibaba data expert dry goods | data center model design series (I) Alibaba cloud launches financial data center to help financial institutions transform their numbers intelligently. Data center’s past and present life: take you through Alibaba’s history of being a data center. PoPeyes, which can only be eaten after queuing for five hours, needs to open 1500 stores in 10 years through Alibaba cloud data center

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