Interpreting the most authoritative report of BI Circle of business intelligence--gartner Magic Quadrant 2015 (2)

Overview of the leader quadrant of the Magic Quadrant

The BI vendors in the leader Quadrant are placed in the first quadrant and are empty in the middle. This is because none of the vendors can support the ever-increasing business-user-oriented and controlled bi deployments and are ready to innovate in the user experience for this epoch-making change. There is a view that the former BI giants will not regain the recognition of the market, even if they are still investing in innovation.

Tableau and Qlik are recognized by the market because they meet the needs of their customers on data discovery, resulting in simpler and wider applications, and thus grow.

Customers value the ease of use of products, but also value the product function, sales process, product services, product quality, product upgrades, business value, support all users of the analysis and so on satisfaction. Market-Recognized BI vendors are more focused on ease of use to enable more users to analyze data anytime, anywhere. They are achieving the customer's most focused needs and gaining growth from new analysis of project investments, while enterprise-class features such as monitoring, management, embedding, and extensibility are still in the process of being developed (Qlik has released Qlik sense, and each version of Tableau complements some enterprise-class features).

There is a view that tableau and Qlik have been focused on optimizing the ease of use of the product to access more users, but less attention is paid to emerging growth areas such as smart data discovery to further enhance the democracy of data analysis, Also less dedicated to self-service data preparation (tableau plans to include limited functionality in V9 releases, Qlik has a similar plan), but their ability in these areas is still relatively inadequate.

SAP, SAS, and IBM support the most demanding needs, with a large customer base.

They are actively developing a new generation of intelligent data discovery capabilities to shorten the gap and gain customer acceptance. These features include: self-service data preparation, automatic pattern recognition, natural language query and other intelligent data discovery functions. In addition, they believe that fully supporting the data discovery that can be monitored is a key differentiator from their competitors. These bi vendors need to transform vision into a new market power to enhance the customer experience to generate business value and remain in the leader quadrant in the future.

SAS has a better motivation, identity, and customer experience than IBM and SAP because he has the product visual Analytics with data discovery capabilities. SAS has made compelling difference in the field of intelligent data Discoveray through visual analytics with SAS ' deep analysis capabilities. Of course, the complexity of the SAS BI platform is still impressive.

Around the smart data DISCOVERY,SAP actively invest in Lumira, acquisition Kxen, improve the preparation of data from the service. His integration roadmap is clearer than IBM's (Lumira integration with Hana and Bo).

IBM has a compelling vision for Watson that combines self-service data preparation, natural language discovery and exploration, automated pattern discoveries and predictions, visual storytelling, and more to drive future market demands. However, the roadmap for how to integrate IBM on Watson and Cognos is unclear.

Microsoft, micro-strategy, Oracle, IBI and other manufacturers vision integrity is good, but is being challenged by the implementation of the obstacles.

Microsoft has a certain degree of access to users, especially old users, by providing data discovery functionality in Excel. Microsoft has a clear product vision (Natural language query, self-service data preparation) and better customer experience than other BI giants. However, mediocre product scoring and lack of clear marketing and sales priorities have hampered the pace of Microsoft's March. The latest product power BI, which can be deployed independently by commercial users, is no longer dependent on Excel 2013 and Office 365, and may change this situation in the future.

Oracle's cloud strategy has progressed, with compelling product visions for multi-structured data analytics and big data analytics. However, the investment in the business-user-oriented direction is already too late. While Oracle continues to earn BI revenue from its old customers, these customers are giving Oracle a low score on the customer experience.

On the manageable data discovery, micro-strategies provide compelling products and visions, and a lot of success, especially in price policy. But the recent micro-strategy of executive turnover and employee dismissal has hit the customer experience and sales momentum.

IBI is an old player with a strong enterprise platform. The product is dedicated to deploying Information-centric applications for a large number of business users, including in-house applications and customer-facing applications. He's already invested in manageable data discovery, but it's late. IBI's roadmap was visionary and early in the market, but it was not widely accepted except for the Information-centric application of the dessert. Similar to other it-centric leaders, IBI's growth and market comes mainly from old customers.

BI Business Intelligence Market trends

BI's annual compound growth rate in mature markets is 9%. The market is driven as follows:

Data Discovery occupies a major investment.

Self-Service data preparation is important for achieving high-value data discovery.

Smart Data Discovery will expand the user base to provide users with insights and data interpretation.

Cloud bi will evolve as online applications evolve, and will evolve as data becomes more important to the cloud.

Streaming Data. Streaming data analytics is becoming increasingly important for many customer-facing businesses.

multistructured Data Analysis. This is also an important direction.

Embedded BI. Embedded bi, especially mobile's embedded bi.

Customer-facing analysis. Customer-oriented analytics translates the BI platform from cost centers to profit centers.

collaboration and social capabilities. Bi-based sharing and collaboration.

Mobile bi: Moving bi, which Gartner has missed, is clearly an important demand direction today as the mobile Internet sweeps through the present.



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Interpreting the most authoritative report of BI Circle of business intelligence--gartner Magic Quadrant 2015 (2)