Gartner Group, founded in 1979, is the world's most professional and authoritative IT research and consulting firm, covering the entire range of IT industry research. Gartner worldwide almost 1000 more than 10-15 years of IT analyst background technical work, most of them have a background CIO, has a very professional and technical capabilities, research and interpretation of the IT industry is also highly professional.
Gartner will publish an annual analysis of various segments of the IT report which, Magic Quadrant (Magic Quadrant) is one of the most talked about two industry reports, usually released in February each year. IT market as a means and tools of observation, Magic Quadrant (Magic Quadrant) report can help IT professionals make proactive choices and influences strategic investment.
This article will be divided into the following parts as we detailed interpretation of the "2020 Gartner Magic Quadrant for Analytics and BI Platforms" (Data Analysis and Business Intelligence Magic Quadrant).
In 2020 ABI Magic Quadrant interpretation translation
Strategic planning and market vision ABI
ABI market definition and description
ABI Magic Quadrant interpretation
Magic Quadrant players Interpretation
ABI Global Market Overview
Far view data on the ABI Magic Quadrant report concludes
ABI China market status
In 2020 ABI Magic Quadrant interpretation translation
Enhancements are becoming a key differentiating factor analysis and BI platform at the same time, cloud ecosystem also affect the selection decisions. The Magic Quadrant data and analysis will help leaders in their analysis and BI technology portfolio based on these developments and evolution.
Strategic planning and market vision ABI
In Gartner2020年的 ABI Magic Quadrant report, ABI for the next five years the development trend of the market made a bold vision:
2022, enhanced analytical techniques will be everywhere, but only 10% of the analyst will make full use of its potential.
By 2022, 40% of machine learning model development and will be completed without scoring machine-learning products as the main target.
By 2023, 90% of Fortune 500 companies will be integrated into the broader governance analysis data and analysis management plan.
By 2025, 80% of the products contain electronic consumer products or industrial products will be on-device included in the analysis.
By 2025, data will become the story of the most common ways of consumption analysis, 75% of the data will be used to enhance the story analysis techniques to automatically generate.
ABI market definition and description
In recent years the definition of Gartner BI Magic Quadrant gradually change from the past compared to the traditional Business Intelligence into Modern Analytics and Business Intelligence (BI analysis and modern, hereinafter referred to as "ABI"). In fact, this is the industry becomes more and more agile Forced data analysis services and one-stop, no longer the same as traditional BI products require a complete cut, different products cope with the data processing data analysis process at different stages.
As more and more amount of data, ABI platform more emphasis on ease of use product features, support from data preparation to complete analysis workflow visualization exploration and insight generation, emphasizing aspects of integration and enhanced reporting capabilities of analysis technology. The ABI platform for our new product features on the requirements can be reflected in the change and optimization of the following levels:
Source level data: preprocessing data from a relational data to the ubiquitous, from the pre-modeling to the data warehouse becomes necessary Alternatively, even if the semi-structured or unstructured data also need the ability to easily access.
Data extraction and preparation process: the need for more enabling business people, you can use drag and drop ETL data analysis, rather than strong code.
Content Creation: mainly enabling users to complete their own visual analysis by business story to think about the problem.
Analysis: Visual Insight from predefined reports to free-form
Delivery insights: distribute data to the data from collaboration and data story
ABI market vendors from the long history of large technology companies, to the venture capital fund to support start-ups, and so forth. Larger providers including data management functions associated with a wider range of products. Most of the new spending on the market this mostly spent on cloud deployments.
ABI platform is no longer its data visualization capabilities vary, these functions are becoming routine must. In contrast, the difference is turning:
Integrated support for enterprise reporting capabilities. Interested companies, these agile data visualization platform is now famous for how to help them modernize reporting needs of the enterprise.
Enhanced analysis emphasized that machine learning and artificial intelligence-related data preparation, generation and insight to explain how to increase business people and analysts to explore and analyze data, is fast becoming a key source of competitive differentiation.
For the function of ABI platforms, Gartner in the report also lists the following 15 key indicators. (These key indicators are updated annually and iterative, reflecting the renewed focus on corporate reporting and enhanced analysis continues to increase in importance)
Security: Support platform security, user management, audit platform access and authentication features.
Manageability: track usage, how to manage information sharing and by whom share, perform impact analysis and the use of third-party application functionality.
Cloud: supports building in the cloud, and management analysis and the ability to deploy analytical applications, these applications based on the cloud and local data, and deploy across cloudy.
Connectivity Data Source: allow the user the ability to connect and included in structured and unstructured data acquisition storage platform types (including cloud storage and local storage).
Data Preparation: supports drag and drop, a combination of user-driven data from different data sources, and creating an analysis model (e.g. user defined measure, set, and group hierarchy).
The complexity of the model: supports complex data models, including handling multiple fact tables, interoperability with other analytical platform and the ability to support the deployment of knowledge map.
Catalog: automatically generates and management platform and its dependencies and objects used to create a searchable directory.
Automatic Analysis: reinforcing core attribute analysis, it can be applied automatically generate ML analysis techniques for the end user (e.g., concentrated by identifying the most important attribute data).
Advanced Analytics: Users can easily access the advanced analysis capabilities can be included in the ABI platform itself can also be used by importing and integration of externally developed model.
Data Visualization: support for highly interactive dashboard and exploration operations by the chart image data. Which includes a set of visualization options, they are out of pie charts, bar charts, and the range of line charts, such as heat and tree, geographical map, scatter, and visualization of other special purpose.
Natural language query: This allows users to type or speak in business terms in the search box to query the data.
Data story: interactive data visualization technology combined with the ability of the narrative, so as to be compelling, easily understood form of the package and deliver insight to decision-makers.
Embedded Analytics: Features include api with the SDK and support for open standards, in order to analyze the content embedded into business processes, applications, or portals.
Natural Language Generation (NLG): automatic generation of rich language to describe the data. In the context of the analysis, when a user interacts with the data, will dynamically change the narrative, or charts to explain the key findings of significance or dashboard.
Report: it can be based on a subscription basis, creation and distribution to the consumer table style, multi-page, pixel-perfect report.
ABI Magic Quadrant interpretation
Gartner Magic Quadrant report is to monitor and assess professional technology market in the company's development and positioning of a research methodology and visualization tools. For intention to find a product to meet their needs as well as company leader in the market trying to PK out competitors gain an advantage enterprises, Magic Quadrant has a strong reference.
ABI Magic Quadrant is a forward-looking and execution through two dimensions to elaborate disparity in power between the various manufacturers ABI, can be used with the following illustration to help understand.
One by one according to the standard score for each vendor, weighted, drawn out respectively and the horizontal longitudinal execution vision, then the final score of all manufacturers together will each positioned in four different quadrants.
Challenger (Challengers) quadrant businesses often have a higher ability to execute, but the lack of strong momentum of development and other features. Generally large mature companies, unwilling to break the current development plan.
Niches (Niche Players) quadrant is also known as domain-specific quadrant, the development prospects of the companies selected completeness and execution low but perhaps occupy a certain market share. Often focus on specific areas or newly established companies.
Leaders (Leaders) quadrant are gathering prospects and ability to execute have a higher score industry giants have a higher visibility, powerful influence market trends.
Visionaries (Visionaries) quadrant represents understand the market dynamics and potential for innovation, but the lack of sufficiently strong implementation capacity. Usually for smaller enterprises.
Gartner Technology and Service Provider Research principal analyst Zhang Jinjiang Group said: "This does not mean that those who enrolled in the niche quadrant business is lagging, often these companies are in a leading position in a particular field."
Evaluation Criteria
And ABI 2019 Gartner Magic Quadrant released compared, it is worth mentioning that in 2020 a new niche players quadrant Ali cloud (Quick BI) and Dundas, at the same time, Gooddata exit from the niche quadrant.
ABI Global Market Overview
ABI overview of the global market, Gartner summed up the three major trends in the market in the report.
First, a substantial user base growth is slowing down
From the financial point of view, the modern market self ABI platform is still growing rapidly, but slower than before. According to Gartner's market share analysis, the revenue of the market in 2018 grew by 22.3%, while in 2017 was 35.0%. Price pressure and fierce competition is the main reason for this slowdown.
However, despite slower consumption growth than in the past, but the number of people using the ABI platform is a significant increase. Microsoft is only one five years ago introduced the Power BI cloud services, now has millions of users worldwide. The tremendous growth in the number of users because each user is a small fraction of the price a decade ago.
Second, cloud ecology
2019 is a year of transition to the dominance of the cloud ecosystem. Microsoft's rapidly growing cloud-based azure BI service force, Salesforce acquired Tableau and Google acquired Looker, marking the cloud will allow manufacturers can have one of competitively priced ABI platform. Of course, along with this transition comes is to "lock" the natural concern. Balancing factor here is the supplier of its attitude of openness stack and implementation, as well as the importance of "cloudy" approach, customers can choose to run in multiple cloud IaaS product applications.
To the cloud platform as a service (PaaS) transfer ABI standard is affecting the Non-Aligned how vendors positioning their products and competition. Two main strategy is taking shape. The first one is opening up previously closed products to reduce competition with other ABI tools (such as MicroStrategy connector to Microsoft Power BI, Qlik Sense and Tableau provided). The second is to focus on finding specific market segments and provide the appropriate product according to their needs.
Third, embedded analytics
ABI in the field of embedded ABI actually have a secondary market. It has a different set of key buyers, that is, software developers and product managers. Gartner believes Embedded ABI is an important Case, because the organization wants to create an extranet applications, data monetization, and ABI as part of the overall business applications. These applications can go beyond the internal stakeholders, including customers, suppliers and citizens. Independent software vendors also believe that embedded ABI function more and more important. For some vendors, embedded use cases on behalf of their major markets. For other manufacturers, this is a minor concern, but it represents a new battlefield, require specific pricing models and improved API.
Far view data on the ABI Magic Quadrant report concludes
By reading Gartner's "2020 Gartner Magic Quadrant for Analytics and BI Platforms", far view data products industry team for this year's report in a new direction to extract the following four core ideas:
A: to highlight the enhanced analysis
The amount of data in the enterprise is still limited when reporting to meet the needs of data analysis, and with the gradual expansion of the volume of business, a report alone can not meet the needs of decision-makers look at the data, because they can not be associated to find problems, and by BI the drill, the linkage can precisely locate the problem.
BI contained in the original understanding of the data slice, rotate, aggregation, analysis, and this report highlights the ABI platform should be concerned about the ability to analyze data, in particular to enhance analysis, not only in that layer analysis show, also contains data preparation and data fusion process. For example, the concept of Smart ETL can support far more sophisticated analysis, it is also an enhanced capability analysis.
Second, the emphasis on data analysis through the whole links
Data analysis is not just full link analysis itself, but also emphasis on data analysis factors whole life cycle, including data collection, data access, data preparation, data management, data management, data analysis, enhanced analysis, visualization, rendering, etc. . If the ABI enterprise data analysis on the whole link has a complete layout, relatively speaking competition will be stronger.
Third, the emphasis on machine learning and AI-enabled
When the company's business iteration speed and evolve to the next stage, the traditional BI can not keep up with the data analysis needs, companies will need to intervene AI to help us achieve automated data processing and analysis in some of the chain. The requirements of the ABI platform is energized by ML and AI enhancements analysis, data analysis AI full link to add more capacity.
Fourth, enhance system integration, the ability to provide data services
ABI entire border platform continues to blur, enterprise IT building and then to the rhythm data information from the information technology, digital. This requires ABI manufacturers in the future requires the ability to data services, helping enterprises to the needs of the business side of data by automatically adding intelligence to solve.
For example, we often say that thousands of thousand faces, past stores rely on sales marketing staff to remember as a consumer to provide personalized service to him. In the Internet era, the thousands of thousands of marketers face is the need for data and AI-driven, which is the data as a service.
Traditional enterprise to the future, or now face the epidemic such a big challenge, many companies are in the reflection, we can not have such a strong ability of data services, the data into information directly to a variety of business integration system. For example, in the face of the epidemic, the service capabilities at wire transferred to the original line, when a user opens the APP, he will be able to automatically identify consumer preferences and intelligent recommendation, which would greatly enhance the self-healing ability of enterprises in the face of risk .
Gartner expresses one of the most core ideas in this report: that is driven by the wave of the entire data, industry data and trend analysis of business should be to a depth bound to develop. In the process also Forced enterprises continue to think, we must, through what kind of products and architectures to solve data analysis? What elements go into the AI? The traditional cutting of relatively clear product modules and how to put him back together organically to provide a new experience to bring to the customer? This is the Gartner report gives us thinking.
In addition, China's ABI companies need to clearly understand that we are in mainland China, but it is also very rapid growth in BI market, we need to think about how to catch some local Chinese market opportunities.
ABI China market status
Gartner report is mainly aimed at the global market of ABI, and returned to the Chinese mainland, but also not the same and the world compared to its situation and development trend, mainly in the following areas:
Started late, rapid development: China ABI industry maturity teach low, and the client for different platforms boundaries are vague, they would prefer BI vendors to provide complete data solutions, vertical integration is more natural, rather than purchasing a tools also need to meet purchase other tools.
Information technology and data technology to advance: Many domestic enterprises currently in the information technology and data to advance the state of their data base is not perfect, data quality analysts, data analysis, awareness needs to be improved, the market needs to be education and training.
Reporting and visualization kanban demand is still the mainstream: Reporting and billboards or mainstream demand, enabling both ends of the strong demand, strong demand for mobile end, gradually stimulate demand for self-analysis, automated analysis, to enhance analysis of overall demand is still relatively weak.
Rapid expansion of market scale: an annual 20% to 30% of the market growth rate, becoming small and medium enterprises, new retail, new manufacturing, new financial standard.
Localization, personalization, customization and more demand: localization data butt, customized system integration, accounts docking, embedded analytics become the universal demand, foreign BI product is no advantage, and this is a good opportunity for overtaking around the curve of BI products made in China.
Compared to the global market, the Chinese market specialization ABI is not fine, and sometimes make us feel confused. In contrast to foreign ABI platform after fine division of labor to a certain stage of development, need to continue to extend and expand the capabilities, products are constantly blurring the boundaries, which for us is very meaningful reference.
Business and economy are inseparable, we compare the current shallow proportion of China's economic contribution to the world economy (in 2019, 16%), and China accounting for business intelligence market size (about 2% of global scale in the business intelligence market, $ 500 million / $ 20 billion). Both of the poor, it is conceivable Chinese business intelligence market development potential of. But he said earlier, Chinese and foreign business intelligence market has a very big differences, local BI companies have more opportunities to local markets deep plowing.
Different markets and customer base, industry characteristics, creating different opportunities, like mobile payments born in the United States, but there is more suitable for the soil to grow in China, it was the last corner overtake China.