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Tableau Software, Inc. 2013 Annual Report & Proxy Statement
Tableau Software, Inc. 2013 Annual Report & Proxy Statement To our stockholders: We are a company on a mission. Since our inception in 2003, we have been committed to helping people see and understand data. Our products put the power of data into the hands of everyday people, allowing them to engage with their data, ask questions, solve problems and create value. Over the past ten years, we have reached over 17,000 customer accounts in pursuit of our mission. 2013 was a year to remember for Tableau. We achieved 82% revenue growth, added over 6,000 customer accounts worldwide, completed a successful IPO and hosted our largest ever customer conference. An important part of our strategy is to invest in product innovation. With Tableau 8.0, we introduced advancements such as web and mobile authoring, new data connectors, forecasting and enhanced enterprise integration with new APIs. These are a few of the many new features we delivered to help people make sense of their growing quantities of data. In Tableau 8.1, we incorporated new features to support enterprise customers, including full 64-bit support, SAML authentication, support for external load balancers and IPv6 support. We also provided users with more advanced analytics capabilities. Finally, we launched Tableau Online, a cloud-based product that makes it even easier to for people to explore, analyze and share data. In addition to our accomplishments in product innovation, we achieved other notable milestones in 2013. We grew license revenues 78% and maintenance and services revenues 92% from 2012. We increased our international business to 20% of total revenues, up from 17% in 2012. -
2020 Business Intelligence Buyer's Guide
2020 BUSINESS INTELLIGENCE BUYER’S GUIDE 1 BUSINESS INTELLIGENCE BUYER’S GUIDE MARKET OVERVIEW The process for evaluating and selecting business intelligence software can be complex. These complexities are growing even wider when organizations consider emerging analytic capabilities like AI and machine learning. Augmented analytics – which uses machine learning to change how analytic content is developed and used – is set to become the dominant driver of new BI buying by 2021, according to analyst house Gartner, Inc. If your use cases involve a large degree of manual data analysis, augmented analytics products may be an immediate consideration. Automation is impacting virtually every industry and business process, and data analytics software is about to become the next frontier. The technology behind automating analytics is heavily reliant on AI and machine learning. While some organizations are using this functionality already to speed past manual data tasks, BI solution providers are increasingly tying automation to natural language processing. This will soon enable an entire swath of business users to run complex analysis just by asking a question. Auditable (or explainable) AI is an emerging field in machine learning that addresses how black box decisions of AI systems are made. In data analytics, users want to be able to inspect and understand the steps and models involved in decision making. And given the pervasive nature of AI-powered business intelligence tools entering the marketplace, this technology is quickly becoming mainstream. AI will continue to be a game-changer for BI users, especially those without technical data science skills. However, the best AI- focused data analytics tools can explain the processes behind each prediction. -
TABLEAU SOFTWARE, INC. (Exact Name of Registrant As Specified in Its Charter)
UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 FORM 10-K (Mark One) x ANNUAL REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the fiscal year ended December 31, 2018 or o TRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the transition period from ____ to ____ Commission File Number: 001-35925 TABLEAU SOFTWARE, INC. (Exact name of Registrant as specified in its charter) Delaware 47-0945740 (State or other jurisdiction of (I.R.S. Employer incorporation or organization) Identification Number) 1621 North 34th Street Seattle, Washington 98103 (Address of principal executive offices and zip code) (206) 633-3400 (Registrant's telephone number, including area code) Securities registered pursuant to Section 12(b) of the Act: Title of Each Class Name of each exchange on which registered Class A Common Stock, par value $0.0001 New York Stock Exchange Securities registered pursuant to Section 12 (g) of the Act: None Indicate by check mark if the Registrant is a well-known seasoned issuer, as defined in Rule 405 of the Securities Act. Yes x No o Indicate by check mark if the Registrant is not required to file reports pursuant to Section 13 or Section 15(d) of the Act. Yes o No x Indicate by check mark whether the Registrant (1) has filed all reports required to be filed by Section 13 or 15(d) of the Securities Exchange Act of 1934 during the preceding 12 months (or for such shorter period that the Registrant was required to file such reports), and (2) has been subject to such filing requirements for the past 90 days. -
The Big Data Market: 2015 – 2030 Opportunities, Challenges, Strategies, Industry Verticals & Forecasts
The Big Data Market: 2015 – 2030 Opportunities, Challenges, Strategies, Industry Verticals & Forecasts Table of Contents 1 Chapter 1: Introduction ................................................................................... 18 1.1 Executive Summary ....................................................................................................................................... 18 1.2 Topics Covered .............................................................................................................................................. 20 1.3 Historical Revenue & Forecast Segmentation ............................................................................................... 21 1.4 Key Questions Answered ............................................................................................................................... 23 1.5 Key Findings ................................................................................................................................................... 24 1.6 Methodology ................................................................................................................................................. 25 1.7 Target Audience ............................................................................................................................................ 26 1.8 Companies & Organizations Mentioned ....................................................................................................... 27 2 Chapter 2: An Overview of Big Data ................................................................ -
Advanced Analytics June 2019 Advanced Analytics June 2019 Sector Dashboard [4]
Sectorwatch: Advanced Analytics June 2019 Advanced Analytics June 2019 Sector Dashboard [4] Public Basket Performance [5] Operational Metrics [7] Valuation Comparison [10] Recent Deals [13] Appendix [15] 7 Mile Advisors appreciates the opportunity to present this confidential information to the Company. This document is meant to be delivered only in conjunction with a verbal presentation, and is not authorized for distribution. Please see the Confidentiality Notice & Disclaimer at the end of the document. All data cited in this document was believed to be accurate at the time of authorship and came from publicly available sources. Neither 7 Mile Advisors nor 7M Securities make warranties or representations as to the accuracy or completeness of third-party data contained herein. This document should be treated as confidential and for the use of the intended recipient only. Please notify 7 Mile Advisors if it was distributed in error. 2 Overview 7MA provides Investment Banking & Advisory Services to the Business Services and Technology Industries globally. We advise on M&A and private capital transactions, and provide market assessments and benchmarking. As a close knit team with a long history together and a laser focus on our target markets, we help our clients sell their companies, raise capital, grow through acquisitions, and evaluate new markets. We publish our sectorwatch, a review of M&A and operational trends in the industries we focus. Dashboard Valuation Comparison • Summary metrics on the sector • Graphical, detailed comparison of valuation • Commentary on market momentum by multiples for the public basket comparing the most recent 12-month performance against the last 3-year averages. -
Research Note Technology Value Matrix First Half 2014 Business Intelligence and Analytics
Document O81 RESEARCH NOTE May 2014 TECHNOLOGY VALUE MATRIX FIRST HALF 2014 BUSINESS INTELLIGENCE AND ANALYTICS THE BOTTOM LINE The evolution of business intelligence is quickly leading to a splintering of markets as the previously monolithic world of BI is now a varied world of analytic applications, data discovery and visualization products, cloud-based and as-a-service business intelligence tools, and traditional BI platforms that pursue best-of-breed status in all of these areas simultaneously. In this fractured market, BI value propositions have become increasingly granular, which has forced vendors to focus on line-of-business support and ease of use concerns that are important to a specific audience to demonstrate value. This Value Matrix evaluates current vendors’ ability to deliver value based on usability and functionality and projects 6-month trends for each vendor. The Business Intelligence Value Matrix focuses on platforms and products that provide value in the key areas of business intelligence: enterprise-class scale and availability for data, transformation of raw data into analytic-ready queries and semantic categorization, data discovery and analysis tools, delivery and sharing of analytic outcomes through reports and visualizations, and embedding BI functionality into new applications. As BI vendors look to improve their capabilities in 2014, they have found that specialization is increasingly important. Over the past year, key trends in the market include: . Data discovery is becoming a necessary part of the BI value proposition. Companies such as Qlik and Tableau have continued to raise the expectations for end users seeking direct interaction with data. The demand for these capabilities has shifted data discovery from an interesting capability to a core business intelligence necessity.