Magic Quadrant for Business Intelligence and Analytics Platforms

Discussion in 'Tableau' started by bsdinsight, Jun 28, 2015.

  1. bsdinsight

    bsdinsight Well-Known Member

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    Tableau
    Tableau's intuitive, visual-based data discovery capabilities have transformed business users' expectations about what they can discover in data and share without extensive skills or training with a BI platform. Tableau's revenue growth during the past few years has very rapidly passed through the $100 million, $200 million and $300 million revenue thresholds at an extraordinary rate compared with other software and technology companies.

    Tableau has a strong position on the Ability to Execute axis of the Leaders quadrant, because of the company's successful "land and expand" strategy that has driven much of its growth momentum. Many of Gartner's BI and analytics clients are seeing Tableau usage expand in their organizations and have had to adapt their strategy. They have had to adjust to incorporate the requirements that new users/usage of Tableau bring into the existing deployment and information governance models and information infrastructures. Despite its exceptional growth, which can cause growing pains, Tableau has continued to deliver stellar customer experience and business value. We expect that Tableau will continue to rapidly expand its partner network and to improve international presence during the coming years.

    Strengths
    • Tableau has clearly defined the market in terms of data discovery, with a focus on "helping people see and understand their data." It is currently the perceived market leader with most vendors viewing Tableau as the competitor they most want to be like and to beat. At a minimum, they want to stop the encroachment of Tableau into their customer accounts.
    • Tableau rates among the top five vendors for aggregate product score, with particular strengths in the decentralized and governed data discovery use cases. In particular, analytic dashboards, free-form exploration, business-user data mashup and cloud deployment are platform strengths. Tableau's direct query access to a broad range of SQL and MDX data sources, as well as a number of Hadoop distributions, native support for Google BigQuery, Salesforce and Google Analytics has been a strength of the platform since the product's inception and often increased its appeal to IT versus in-memory-only options. As a result, customers report having slightly below-average deployment sizes, in terms of users, but among the highest data volumes (in this Magic Quadrant).
    • Tableau has managed its growth and momentum well. The company has been able to grow and scale without a significant impact on discounts extended (that is, these are very limited) or customer experience. Most technology companies struggle to manage this balance between growth and execution.
    • Tableau customers report among the highest scores in terms of breadth and ease of use along with high business benefits realized. Gartner inquiries and customer conversations reveal that Tableau users report an enthusiasm for the product as a result of being able to rapidly leverage insights from Tableau that have a significant impact on their business. Customers also report faster-than-average report development times.
    • Tableau is an R&D-driven company. It continues to invest in R&D at a higher pace (in terms of percentage of revenue — 29% in 2014) than most other BI vendors.
    Cautions
    • Tableau has a limited product line focused on data discovery. Organizations like to buy and manage fewer software assets and vendors. At some point many of the new generation of visualization and discovery tools that are bundled with other (competitor) applications may gain traction, particularly as they roll out smart data discovery and self-service data preparation differentiators.
    • IT-developed reports and dashboards, traditional styles of analysis, metadata management, development and integration, BI platform administration, embedded BI and collaboration are rated as weaker capabilities of the platform, making it less well suited for centralized and embedded use cases. When Tableau customers have advanced data preparation, production reporting, advanced analytics, distribution and alerting as requirements, they have to turn to third-party products and partner capabilities. This may also limit its ability for large-scale displacements, but not for large scale surrounding and marginalizing of IT and report-centric incumbents.
    • Tableau is the competitive target of most other vendors in this market. It faces competitive threats from every other vendor in the market that is also focused on delivering self-service data discovery and visualization capabilities, in an attempt to slow down Tableau's momentum.
    • Tableau offers limited advanced analytics capabilities. R integration has been recently added and is a major improvement for users needing more statistical and advanced capabilities. Other vendors, such as SAS, SAP and Tibco, have more advanced native capabilities.
    • Tableau's enterprise features around data modeling and reuse, scalability and embeddability — that enable companies to use the platform in a more pervasive and governed way — are evolving with each release, but are still more limited than IT-centric system-of-record platforms.
    Full story: http://www.gartner.com/technology/reprints.do?id=1-2ACLP1P&ct=150220&st=sb
     
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  3. bsdinsight

    bsdinsight Well-Known Member

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: Tableau

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