1. Introduction to Gartner Inc.
ارائه دهنده:
سامی ابراهیمی
آزمایشگاه سیستم‏های هوشمند (

2. 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.
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3. 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
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4. 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
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5. 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
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6. آزمایشگاه سیستم های هوشمند (http://ce.aut.ac.ir/islab)
BI users
آزمایشگاه سیستم های هوشمند (

7. 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
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8. 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
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9. 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
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