We plan to continue to invest in research and development, including hiring top technical talent, focusing on core technology innovation and maintaining an agile organization that supports rapid release cycles. Since the release of Tableau 10, we released Tableau 10.1 which includes more ways to connect and prep data, improved formatting, new visual analytics features and new Tableau Server features. Additional capabilities include cross-database joins to bring together disparate data sources, advanced analytics improvements like drag and drop clustering, a device designer for mobile responsive dashboards design and support for additional data sources. Our most recent major release, Tableau 10, delivers new design and analytical innovations that make interacting with data on the web, on mobile or in the enterprise faster and easier. Building on our foundational technology innovations, including VizQL, we have released ten major versions of our software to date, rapidly expanding and improving our feature set and capabilities. We have sought to rapidly improve the capabilities of our products over time and intend to continue to invest in product innovation and leadership. Relentlessly innovate and advance our products Our Hybrid Data Architecture enables these data engines to work in harmony, allowing users the flexibility to access and analyze data from diverse sources and locations, while optimizing speed and performance for each source. Using advanced algorithms and data compression techniques, our in-memory technology facilitates quick query responses on up to hundreds of millions of rows of data. Our In-Memory Data Engine enables users to import large amounts of data into our own in-memory database. In addition, this capability allows customers to leverage investments in their existing data platforms and to capitalize on the capabilities of high performance databases. Our Live Query Engine allows users to instantaneously connect to large volumes of data in its existing format and location, reducing the need for time-consuming data transformation processes that only technical specialists can perform. Our Hybrid Data Architecture combines the power and flexibility of our Live Query and In-Memory Data Engines. In light of these risks, uncertainties and assumptions, the future events and trends discussed in this report may not occur and actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. It is not possible for our management to predict all risks, nor can we assess the impact of all factors on our business or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward-looking statements we may make. Moreover, we operate in a very competitive and rapidly changing environment. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described in the "Risk Factors" section of this report. We have based these forward-looking statements largely on our current expectations and projections about future events and trends that we believe may affect our financial condition, results of operations, business strategy, short-term and long-term business operations and objectives, and financial needs. The words "believe," "may," "will," "estimate," "continue," "anticipate," "intend," "expect," "seek", and similar expressions are intended to identify forward-looking statements. All statements contained in this report other than statements of historical fact, including statements regarding our future results of operations and financial position, our business strategy and plans, and our objectives for future operations, are forward-looking statements. This Annual Report on Form 10-K contains forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and section 27A of the Securities Act of 1933, as amended.
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