Introduction to Gartner Inc. ارائه دهنده: سامی ابراهیمی آزمایشگاه سیستم‏های هوشمند (http://ce.aut.ac.ir/islab)

Gartner, Inc. Type Public company Products Research Consulting Events Traded as NYSE: IT Revenue US$2.44 billion (2016) Industry Operating income US$457.1 million (2016 Founded 1979; 38 years ago by Gideon Gartner Net income US$193.6 million (2016) Headquarters Stamford, USA Total assest Key people Gene Hall (CEO) Craig Safian (CFO) Mike Diliberto (CIO) Number of employees 8,813 (2016) Website : Gartner.com Gartner, Inc. is the world's leading information technology research and advisory company. آزمایشگاه سیستم های هوشمند (http://ce.aut.ac.ir/islab)

Glance of Gartner fact sheet Q4 2016 60,000 IT End User Client 120,805 documents search across 1,352 technology and business topics each year analyst community that speaks 50 languages clients have access to continually updated data, covering 2,000 vendors across 175 technology markets in 100 countries 60+ Annual Technology Conferences 70% of the Fortune 1000: 80% of the Global 500 11,600 Client Organisations Over 4,000 CIO Clients 100,000+ IT End User Inquiries The Wall Street Journal, The Economist and The Financial Times, quote gartner an average of 70 times every week Over 750 Analysts Serving Clients Across 90 Countries Magic quadrant become standard in 140 tech segment analyst community that speaks 50 languages Over 7 Million IT End User Research Searches آزمایشگاه سیستم های هوشمند (http://ce.aut.ac.ir/islab)

آزمایشگاه سیستم های هوشمند (http://ce.aut.ac.ir/islab) Magic quadrant Leaders A vendor in the Leaders quadrant has the market share, credibility, and marketing & sales capabilities needed to drive the acceptance of new technologies. These vendors demonstrate a clear understanding of market needs, they are innovators Challengers A vendor in the Challengers quadrant participates in the market and executes well enough to be a serious threat to vendors in the Leaders quadrant. They have strong products, as well as sufficiently credible market position and resources to sustain continued growth but they lack the size and influence of vendors in the Leaders quadrant. Visionaries  A vendor in the Visionaries quadrant delivers innovative products that address operationally or financially important end-user problems at a broad scale, but has not yet demonstrated the ability to capture market share or sustainable profitability Niche Players Vendors in the Niche Players quadrant are often narrowly focused on specific market or vertical segments. This quadrant may also include vendors that are adapting their existing products to enter the market under consideration, or larger vendors having difficulty developing and executing on their vision آزمایشگاه سیستم های هوشمند (http://ce.aut.ac.ir/islab)

Gartner's Top 10 Strategic Predictions For 2017 And Beyond Immersive Shopping Experiences Digital Giants Everywhere Voice First Browsing Innovation Requires Greater Investment Mobile Apps Decline IoT Data Storage Stays Low Algorithms at Work IoT Saves Trillions Blockchain Grows Up Wearables Cut Healthcare Costs آزمایشگاه سیستم های هوشمند (http://ce.aut.ac.ir/islab)

آزمایشگاه سیستم های هوشمند (http://ce.aut.ac.ir/islab) BI users آزمایشگاه سیستم های هوشمند (http://ce.aut.ac.ir/islab)

BI users Description Business knowledge Analytic skills   Description Business knowledge Analytic skills Data integration Publishing skills Investigator Investigate predefined data set using bi tools 1-2 years in company or industry Create simple charts and tables Create custom groups and hierarchies Save and share views Explorer Issue ad hoc queries against the DW and local data sets to explore data 3-5 years in company / 1-2 years in department Statistical, root cause and comparative analyst Link tables, fix data error , transform field with BI tools Assemble dashboard from predefined objects Inventors Explore raw data in source system or DW variety of tools 3-5 years in company / 3-5 years in department Statistical and machine learning modeling and advanced visualization Deformalized and transform multi structure data to optimize modeling آزمایشگاه سیستم های هوشمند (http://ce.aut.ac.ir/islab)

Difference between DSS and BI Definition DSS is a computer program application that analyzes business data and presents it so that users can make business decisions more quickly BI is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions Input Problem, data Output Decision Solution Goal Making a business decision Making a business decision, turning data into information and then to knowledge Domain Small scale, specific user decision making Large scale infrastructure, support many users آزمایشگاه سیستم های هوشمند (http://ce.aut.ac.ir/islab)

Difference between DSS and BI Architecture DSS architecture comprises four models: - Data-driven DSS Model - Knowledge-driven DSS Model - Document-driven DSS Model - Communication-driven and group DSS Model consists of many technology components, like: - Data warehouse - Data mining - OLAP (Online analytical processing) - Business performance management (BPM). - User Interface (e.g., dashboard) - Business analytics Example Ore-Ida Foods, uses marketing DSS to support decision-making process of data retrieval from internal and external market data, market analysis on relationships of price and shares company uses BI Data Mining for finding association among consumer demographic characteristics, or banks use BI tools data warehouse and data mining to detect a pattern of fraudulent credit card آزمایشگاه سیستم های هوشمند (http://ce.aut.ac.ir/islab)