Stamford, CT, United States
Stamford, CT, United States

Gartner, Inc. is an American information technology research and advisory firm providing technology related insight headquartered in Stamford, Connecticut, United States. It was known as Gartner Group, Inc until 2001.Research provided by Gartner is targeted at CIOs and senior IT leaders in industries that include government agencies, high-tech and telecom enterprises, professional services firms, and technology investors. Gartner clients include large corporations, government agencies, technology companies and the investment community. The company consists of Research, Executive Programs, Consulting and Events. Founded in 1979, Gartner has over 5,300 employees, including 1,280 in R&D, located in 85 countries.Gartner uses hype cycles and magic quadrants for visualization of its market analysis results. Wikipedia.


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WESTERVILLE, Ohio, May 8, 2017 /PRNewswire/ -- DHL Supply Chain, the Americas' leader in contract logistics and part of Deutsche Post DHL Group, announced today it has been positioned by Gartner, Inc., a research and advisory firm, as a Leader in its May 2017 Magic Quadrant for...


News Article | May 4, 2017
Site: www.businesswire.com

STAMFORD, Conn.--(BUSINESS WIRE)--Gartner, Inc. (NYSE: IT) is the world's leading research and advisory company and today reported results for first quarter 2017. Gartner also provided an update to its financial outlook for full year 2017, which includes its projections for CEB Inc. ("CEB"), which Gartner acquired on April 5, 2017, as previously announced. For first quarter 2017, total revenue was $625.2 million, an increase of 12% over first quarter 2016 and 13% adjusted for the foreign exchange impact. Net income was $36.4 million in first quarter 2017, while Adjusted EBITDA was $106.1 million, an increase of 3% over first quarter 2016 as reported and 1% adjusted for the foreign exchange impact. GAAP Diluted EPS was $0.43 in first quarter 2017 compared to $0.54 in first quarter 2016. Adjusted EPS was $0.60 in first quarter 2017 compared to $0.67 in first quarter 2016. (See “Non-GAAP Financial Measures” below for definitions of Adjusted EBITDA and Adjusted EPS). For first quarter 2016, both the previously reported GAAP Diluted EPS and Adjusted EPS have increased by $0.06 per share due to the Company's adoption of FASB Accounting Standards Update (ASU) No. 2016-09 (see below for additional discussion). Gene Hall, Gartner’s chief executive officer, commented, "We delivered another strong quarter of double-digit growth in revenue and contract value for the first quarter of 2017. We closed the acquisition of CEB and remain extremely excited about our prospects for long term growth in both the Gartner and CEB businesses". Revenue for first quarter 2017 was $504.7 million, up 15% compared to first quarter 2016 on both a reported basis and adjusted for the foreign exchange impact. The quarterly gross contribution margin was 69% and 70% in first quarter 2017 and 2016, respectively. Total contract value was $1.95 billion at March 31, 2017, an increase of 13% on a reported basis and 15% on a foreign exchange neutral basis compared to March 31, 2016. Client retention was 83% and 84% in first quarter of 2017 and 2016, respectively. Wallet retention was 104% and 105% in first quarter 2017 and 2016, respectively. Revenue for first quarter 2017 was $85.2 million, which was flat on a reported basis compared to first quarter 2016 but an increase of 2% adjusted for the foreign exchange impact. The gross contribution margin was 33% and 35% in first quarter 2017 and 2016, respectively. First quarter 2017 utilization was 65% compared to 67% in first quarter 2016. As of March 31, 2017, billable headcount was 650 compared to 618 at March 31, 2016. Backlog was $103.2 million at March 31, 2017 compared to $114.1 million at March 31, 2016. Revenue for first quarter 2017 was $35.3 million compared to $32.1 million in the first quarter 2016, an increase of 10% on a reported basis and 11% adjusted for the foreign exchange impact. The gross contribution margin was 38% in first quarter 2017 compared to 41% in the prior year quarter. The Company held 11 events with 9,035 attendees in first quarter 2017 compared to 12 events with 7,640 attendees in first quarter 2016. Gartner used $29.6 million of cash in its operating activities in the first quarter of 2017 compared to cash generated of $13.3 million in the first quarter of 2016. Free Cash Flow for the first quarter of 2017 was $(22.7) million compared to $17.9 million in first quarter of 2016 (See “Non-GAAP Financial Measures” below for the definition of Free Cash Flow). During first quarter 2017 the Company used $22.0 million in cash to repurchase its common shares, $129.3 million for acquisitions, $10.7 million for capital expenditures, and $17.6 million for acquisition and integration payments. After the close of the CEB transaction, the Company had $640.0 million of cash and $630.0 million of additional borrowing capacity under its revolving credit facility. On April 5, 2017, Gartner completed the acquisition of CEB by acquiring all of the outstanding shares of CEB in a cash and stock transaction with a total enterprise value of approximately $3.5 billion gross. Additional information regarding the acquisition is provided in the Company's March 31, 2017 Quarterly Report on Form 10-Q or on Gartner's website at http://investor.gartner.com. Impact of the Adoption of FASB ASU No. 2016-09 on our Previously Reported Q1 2016 Numbers In the third quarter of 2016 the Company early adopted Financial Accounting Standards Board Update 2016-09, Improvements to Employee Share-Based Payment Accounting ("ASU No. 2016-09"), which changed the accounting for stock-based awards. The accounting changes required by ASU No. 2016-09 were applied to the beginning of the Company's 2016 fiscal year, and as a result certain previously reported financial results for the three months ended March 31, 2016 have changed. These changes include a $4.8 million increase in net income, and a $0.06 increase in each of GAAP basic earnings per share, GAAP diluted earnings per share and Adjusted earnings per share. In addition, our previously reported operating cash flow for the three months March 31, 2016 increased by $4.8 million. Note 1 in the Notes to the Financial Statements in the Company's March 31, 2017 Quarterly Report on Form 10-Q provides additional information. The Company also provided an update to its financial outlook for full year 2017, to include CEB: (1) See “Non-GAAP Financial Measures” below for definitions of Adjusted Revenue, Adjusted EBITDA, Adjusted EPS, and Free Cash Flow. Gartner has scheduled a conference call at 8:00 a.m. eastern time on Thursday, May 4, 2017 to discuss the Company’s financial results for first quarter 2017. The conference call will be available via the Internet by accessing the Company’s website at http://investor.gartner.com or by dial-in. The U.S. dial-in number is 888-680-0865 and the international dial-in number is 617-213-4853. The participant passcode is 16757805#. The question and answer session of the conference call will be open to investors and analysts only. A replay of the webcast will be available for approximately 30 days following the call on the Company's website. In addition, a transcript of the call will also be available on the Company's website shortly after the conclusion of the call. Gartner will hold its 2017 Annual Meeting of Stockholders at 10:00 a.m. eastern time on June 1, 2017 at the Company’s offices in Stamford, Connecticut. Gartner, Inc. (NYSE: IT) is the world’s leading research and advisory company. We help business leaders across all major functions in every industry and enterprise size with the objective insights they need to make the right decisions. Our comprehensive suite of services delivers strategic advice and proven best practices to help clients succeed in their mission-critical priorities. Gartner is headquartered in Stamford, Connecticut, U.S.A., and has 13,000 associates serving clients in over 11,000 enterprises in over 90 countries. For more information, visit www.gartner.com. Certain financial measures used in this Press Release are not defined by generally accepted accounting principles ("GAAP") and as such are considered non-GAAP financial measures. We provide these measures to enhance the user’s overall understanding of the Company’s current financial performance and the Company’s prospects for the future. Investors are cautioned that these Non-GAAP financial measures are not defined in the same manner by other companies and as a result may not be comparable to other similarly titled measures used by other companies. Also, these Non-GAAP financial measures should not be construed as alternatives to other measures determined in accordance with GAAP. The Company's Non-GAAP financial measures are as follows: Adjusted Revenue: Represents GAAP revenue plus non-cash fair value adjustments on pre-acquisition deferred revenues. The majority of the pre-acquisition deferred revenue is recognized ratably over the remaining period of the underlying revenue contract. We believe Adjusted Revenue is an important measure of our recurring operations as it provides a more accurate period-over-period comparison of trends in revenues. Adjusted EBITDA: Represents GAAP operating income excluding stock-based compensation expense, depreciation and amortization, accretion on obligations related to excess facilities, acquisition and integration adjustments, and other charges. We believe Adjusted EBITDA is an important measure of our recurring operations as it excludes items that may not be indicative of our core operating results. Adjusted EPS: Represents GAAP diluted earnings per share adjusted for the impact of certain items directly related to acquisitions and other charges. The adjustment items consist of the amortization of identifiable intangibles; incremental acquisition and integration charges related to the achievement of certain performance targets and employment conditions, as well as legal, consulting, severance, and other costs; and non-cash fair value adjustments on pre-acquisition deferred revenues. We believe Adjusted EPS is an important measure of our recurring operations as it excludes items that may not be indicative of our core operating results. Free Cash Flow: Represents GAAP cash (used in) provided by operating activities plus cash acquisition and integration payments less payments for capital expenditures. We believe that Free Cash Flow is an important measure of the recurring cash generated by the Company’s core operations that may be available to be used to repurchase our stock, repay debt obligations, invest in future growth through new business development activities, or make acquisitions. Tables provided in this Press Release provide reconciliations of these Non-GAAP financial measures with the most directly comparable GAAP measure. Statements contained in this press release regarding the Company’s growth and prospects, projected financial results and all other statements in this release other than recitation of historical facts are forward-looking statements (as defined in the Private Securities Litigation Reform Act of 1995). Such forward-looking statements involve known and unknown risks, uncertainties and other factors that may cause actual results to be materially different. Such factors include, but are not limited to, the following: our ability to achieve and effectively manage growth, including our ability to integrate our recent CEB acquisition and other acquisitions, and consummate and integrate future acquisitions; our ability to pay our debt, which has increased substantially with the recent CEB acquisition; our ability to maintain and expand our products and services; our ability to expand or retain our customer base; our ability to grow or sustain revenue from individual customers; our ability to attract and retain a professional staff of research analysts and consultants as well as experienced sales personnel upon whom we are dependent; our ability to achieve continued customer renewals and achieve new contract value, backlog and deferred revenue growth in light of competitive pressures; our ability to carry out our strategic initiatives and manage associated costs; our ability to successfully compete with existing competitors and potential new competitors; our ability to enforce or protect our intellectual property rights; additional risks associated with international operations including foreign currency fluctuations; the impact of restructuring and other charges on our businesses and operations; general economic conditions; risks associated with the creditworthiness and budget cuts of governments and agencies; and other factors described under “Risk Factors” contained in our Annual Report on Form 10-K for the year ended December 31, 2016, which can be found on Gartner’s website at www.investor.gartner.com and the SEC’s website at www.sec.gov. Forward-looking statements included herein speak only as of the date hereof and Gartner disclaims any obligation to revise or update such statements to reflect events or circumstances after the date hereof or to reflect the occurrence of unanticipated events or circumstances.


Methods and systems for creating an implicit profile for use by a recommendation engine or a question router is provided. User behavior on at least one of one or more electronic devices and an electronic communications network is tracked. User-related information relating to the user behavior is analyzed to extract or derive key words therefrom. The key words are stored in a profiles database as the implicit profile and used by the recommendation engine or question router to characterize user interests, expertise, and skills when matching a request from a querying user to a potential user or group of users having the relevant background to respond to the request.


A networked peer and item recommendation system makes recommendations to users such as documents of interest and peers with whom the users may want to connect. User profile information is maintained in a profiles database. A log enables the collection of user behavior information. A cluster filtering algorithm determines a cluster that a querying user belongs to. A collaborative filtering algorithm locates other users having implicit and explicit profiles in the database that are similar to the profile of the querying user. A dynamic expert verification algorithm is associated with the collaborative filtering algorithm to verify the qualifications of users and produce bias towards users with higher quality interactions. A search engine returns items based on a keyword provided by the querying user. A sorting algorithm sorts the items returned by the cluster filtering algorithm, collaborative filtering algorithm and search engine for presentation to the querying user.


A system and method for aligning a generally flat, planar object and for facilitating the mounting of the generally flat planar object, such as a printing plate, in near perfect alignment in a cylindrical manner. A printing plate cylinder is covered with stickyback having a release liner. A narrow axial strip of release liner is removed and replaced with a piece of release liner that may be pulled or tugged from beyond the end of the printing cylinder. The printing plate is next rolled into a cylindrical form and held in place on a device which allows registration marks on the printing plate to align the two ends of the printing plate prior to the printing plate ends being temporarily adhered to one another using a piece of tape or similar product. The aligned printing plate is next slid over the printing cylinder which is covered with sticky back. The piece of release liner covering the section of previously removed stickyback is removed and a portion of the aligned printing plate is adhered to the stickyback at that point. The piece of tape holding the two ends of the printing plate in alignment is now removed along with the remainder of the release liner on the stickyback of the printing cylinder and the remainder of the printing plate is attached to the printing cylinder, providing an aligned printing plate on a printing plate cylinder. A machine vision system is used to record and certify the alignment and can also be used to aid in the alignment process based on prior aligned plates or a reference target alignment position.


Methods and apparatus for modifying a user profile for a recommendation algorithm are provided. A user is provided with electronic access to an item. The item may comprise one of a document, an article, a chart, a graphic, a report, a web page, or the like. User interaction with the item is enabled. The user interaction with the item is then electronically tracked and stored. The users user profile used by a recommendation engine is then modified based on the tracked user interactions. The user interaction may comprise at least one of annotating, highlighting, modifying, customizing, adding comments to the item, and the like. The user modified item can be saved and details of the user interaction with the item may be used to modify the user profile. At least one of items or peer recommendations can then be provided to the user based on the modified user profile.


Methods and apparatus for extracting content from an email or email thread are provided. Any replied content is removed from the email based on at least one of known delimiters and known email thread patterns used for separating original and reply emails. Any signature content is removed based on at least one of generated signature patterns for the sender and known signature patterns. Any greeting content is removed based on at least one of generated greeting patterns for the recipient and known greeting patterns. Any sent from content identifying a device or an email client from which the email was sent is removed based on known sent from content. The remaining email text can then be output for further processing, such as analyzing the text for use in augmenting a senders implicit profile, and analyzing the text for question or answer content on specific topics.


Methods and apparats for simultaneously searching public and private information sources are provided. When a user implements a key word search of a public search engine via a web browser, the same key word search is automatically simultaneously implemented of a private information source to locate at least one of user contacts and documents relevant to the key word search. The user contacts and/or the documents returned from the private information source may be scored for relevancy to the key word search. Public search results are returned to the user based on the key word search of the public search engine. In addition, up to N most relevant of the at least one of the user contacts and the documents obtained from the private information source may be returned to the user in a side bar of the web browser adjacent to the public search results.


Methods and systems for creating an implicit profile for use by a recommendation engine or a question router is provided. User behavior on at least one of one or more electronic devices and an electronic communications network is tracked. User-related information relating to the user behavior is analyzed to extract or derive key words therefrom. The key words are stored in a profiles database as the implicit profile and used by the recommendation engine or question router to characterize user interests, expertise, and skills when matching a request from a querying user to a potential user or group of users having the relevant background to respond to the request.


Computerized methods and systems for improving engagement with a recommendation engine that recommends items, peers, and services are provided. Stored data of a plurality of users is electronically accessed and analyzed. A respective passive profile is determined for each of the users based on the analyzing of the stored data. The respective passive profiles are then stored for use by the recommendation engine. The recommendation engine can then provide recommendations for at least one of items, peers, and services to a respective user based on at least the respective passive profile. The recommendations may be further based on at least one of an explicit profile comprising information provided by the respective user and an activity profile based on tracked activity of the respective user with regard to prior recommended items.

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