Trends In IT  Faculty: Mehek Waswani G.S College of Commerce & Economics
Learning Objective <ul><li>Conceptual Understandings and Applications  </li></ul><ul><li>Data Mining </li></ul><ul><li>Dat...
Data Mining  <ul><li>Data mining  is the process of extracting patterns from data </li></ul><ul><li>As more data are gathe...
Data Mining
Data mining commonly involves four classes of task <ul><li>Classification  - Arranges the data into predefined groups. For...
Application <ul><li>Data mining can yield exciting results for almost every organization that collects data on its custome...
Data WareHousing  <ul><li>Data warehouses often hold large amounts of information which are sometimes subdivided into smal...
Simple conceptualization of a data warehouse architecture <ul><li>The  interconnected layers are as follows: </li></ul><ul...
Simple conceptualization of a data warehouse architecture <ul><ul><li>The data directory   </li></ul></ul><ul><ul><li>This...
 
Inmon states that the data warehouse is <ul><li>Subject-oriented   </li></ul><ul><ul><li>The data in the data warehouse is...
Application’s Of Data Warehouse <ul><li>Data warehouse provides a common data model for all data of interest regardless of...
Applications  of Data Warehousing <ul><li>Because they are separate from  operational systems , data warehouses provide re...
 
Knowledge Management <ul><li>Knowledge is something that applies to facts or ideas acquired by study, investigation,observ...
 
Applicaton of Knowledge Management <ul><li>data  information  knowledge </li></ul><ul><li>The value of KM </li></ul><ul>...
 
Applications of Knowledge Management   <ul><li>1.Formalization of human knowledge </li></ul><ul><li>2. Extracting hidden k...
E-Commerce  <ul><li>Electronic commerce , commonly known as (electronic marketing)  e-commerce  or  eCommerce , consists o...
E-Commerce   Electronic Commerce
E_Commerce <ul><li>In present scenario E-Commerce is playing very essential role in the online business. Although it is on...
E-Commerce  <ul><li>E-Commerce helps to Increase the sales revenue to the business  </li></ul><ul><li>Business people can ...
Electronic Commerce
E-Commerce  <ul><li>Reduce Customer Support costs via e-mail marketing & customary newsletters  </li></ul><ul><li>We can c...
E-Learning  <ul><li>E-learning  (or  electronic learning  or  eLearning ) encompasses forms of technology-enhanced learnin...
 
Application of E-Learning   <ul><li>E-Learning can provide for major benefits for the organizations and individuals involv...
Application of E-Learning <ul><li>Convenience and flexibility to learners:  In many contexts, eLearning is self-paced and ...
E-Governance
E-Governance  <ul><li>E-Government  (short for  electronic   government , also known as  e-gov ,  digital government ,  on...
<ul><li>The primary delivery models of e-Government can be divided into: </li></ul><ul><li>Government-to-Citizen or  Gover...
Applications of E-Governance   <ul><li>Within each of these interaction domains, four kinds of activities take place: </li...
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Trends in it

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THE TRENDS IN INFORMATION TECHNOLOGY

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Trends in it

  1. 1. Trends In IT Faculty: Mehek Waswani G.S College of Commerce & Economics
  2. 2. Learning Objective <ul><li>Conceptual Understandings and Applications </li></ul><ul><li>Data Mining </li></ul><ul><li>Data Warehousing </li></ul><ul><li>Knowledge Management </li></ul><ul><li>E-Commerce </li></ul><ul><li>E-Learning </li></ul><ul><li>E-Business </li></ul><ul><li>E-Governance </li></ul><ul><li>. </li></ul>
  3. 3. Data Mining <ul><li>Data mining is the process of extracting patterns from data </li></ul><ul><li>As more data are gathered, with the amount of data doubling every three years, data mining is becoming an increasingly important tool to transform these data into information. It is commonly used in a wide range of profiling practices , such as marketing , surveillance , fraud detection and scientific discovery. </li></ul>
  4. 4. Data Mining
  5. 5. Data mining commonly involves four classes of task <ul><li>Classification - Arranges the data into predefined groups. For example an email program might attempt to classify an email as legitimate or spam. Common algorithms include Decision Tree Learning </li></ul><ul><li>Clustering - Is like classification but the groups are not predefined, so the algorithm will try to group similar items together. </li></ul><ul><li>Regression - Attempts to find a function which models the data with the least error. </li></ul><ul><li>Association rule learning - Searches for relationships between variables. </li></ul>
  6. 6. Application <ul><li>Data mining can yield exciting results for almost every organization that collects data on its customers , markets , products and processes </li></ul><ul><li>Data mining in customer relationship management applications can contribute significantly to the bottom line. </li></ul><ul><li>HRM(Human Resource Management) </li></ul><ul><li>Market Basket Analysis </li></ul><ul><li>Science & Engineering </li></ul><ul><li>Games </li></ul>
  7. 7. Data WareHousing <ul><li>Data warehouses often hold large amounts of information which are sometimes subdivided into smaller logical units called dependent data marts. </li></ul><ul><li>A data warehouse is an algorithm and tool to collect data from different sources and to store them in a single repository to facilitate the decision making process . </li></ul>
  8. 8. Simple conceptualization of a data warehouse architecture <ul><li>The interconnected layers are as follows: </li></ul><ul><li>Operational database layer </li></ul><ul><ul><li>The source data for the data warehouse - An organization's Enterprise Resource Planning systems fall into this layer. </li></ul></ul><ul><li>Data access layer </li></ul><ul><ul><li>The interface between the operational and informational access layer - Tools to extract, transform, load data into the warehouse fall into this layer. </li></ul></ul><ul><li>Metadata layer </li></ul>
  9. 9. Simple conceptualization of a data warehouse architecture <ul><ul><li>The data directory </li></ul></ul><ul><ul><li>This is usually more detailed than operational system data directory. There are dictionaries for the entire warehouse and sometimes Dictionaries for the data that can be accessed by a particular reporting and analysis tool. </li></ul></ul><ul><li>Informational access layer </li></ul><ul><ul><li>The data accessed for reporting and analyzing and the tools for reporting and analyzing data - Business intelligence tools fall into this layer . </li></ul></ul>
  10. 11. Inmon states that the data warehouse is <ul><li>Subject-oriented  </li></ul><ul><ul><li>The data in the data warehouse is organized so that all the data elements relating to the same real-world event or object are linked together. </li></ul></ul><ul><li>Non-volatile  </li></ul><ul><ul><li>Data in the data warehouse is never over-written or deleted - once committed, the data is static, read-only, and retained for future reporting. </li></ul></ul><ul><li>Integrated  </li></ul><ul><ul><li>The data warehouse contains data from most or all of an organization's operational systems and this data is made consistent. </li></ul></ul>
  11. 12. Application’s Of Data Warehouse <ul><li>Data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. </li></ul><ul><li>Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. </li></ul>
  12. 13. Applications of Data Warehousing <ul><li>Because they are separate from operational systems , data warehouses provide retrieval of data without slowing down operational systems </li></ul><ul><li>Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals. </li></ul>
  13. 15. Knowledge Management <ul><li>Knowledge is something that applies to facts or ideas acquired by study, investigation,observation or experience </li></ul><ul><li>Knowledge management (KM) comprises a range of practices used in an organisation </li></ul><ul><li>to identify, create, represent, distribute and enable adoption of insights and experiences </li></ul><ul><li>Such insights and experiences comprise knowledge , either embodied in individuals or embedded in organisational processes or practice . </li></ul>
  14. 17. Applicaton of Knowledge Management <ul><li>data  information  knowledge </li></ul><ul><li>The value of KM </li></ul><ul><li>It is important to manage knowledge assets because – </li></ul><ul><ul><li>Organizations compete increasingly on the base of knowledge (the only sustainable competitive advantage) </li></ul></ul><ul><ul><li>Most of our work is information based (and often immersed in a computing environment) </li></ul></ul><ul><ul><li>Our products, services, and environment are more complex than ever before </li></ul></ul><ul><ul><li>Workforces are increasingly unstable leading to escalating demands for knowledge replacement/acquisition </li></ul></ul>
  15. 19. Applications of Knowledge Management <ul><li>1.Formalization of human knowledge </li></ul><ul><li>2. Extracting hidden knowledge </li></ul><ul><li>3. Providing the right users with the right information at the right time </li></ul><ul><li>4. Transforming raw data into meaningful information used for decision making </li></ul><ul><li>5.Improved knowledge about problem domain </li></ul><ul><li>6.Easy integration with other systems and methods </li></ul><ul><li>7. Capturing knowledge assets from scattered data sources and providing possibility of integrating KM with decision making systems </li></ul>
  16. 20. E-Commerce <ul><li>Electronic commerce , commonly known as (electronic marketing) e-commerce or eCommerce , consists of the buying and selling of products or services over electronic systems such as the Internet and other computer networks . </li></ul><ul><li>E-Commerce is delivery of I information,product/service or payments over telephone lines, computer network or other electronic means </li></ul>
  17. 21. E-Commerce Electronic Commerce
  18. 22. E_Commerce <ul><li>In present scenario E-Commerce is playing very essential role in the online business. Although it is one of the best & cheapest intermediate for reaching out to new customers in the online market, if e-commerce implemented effectively, it also offers a smart way of doing online business & expanding it more. </li></ul><ul><li>An online business eCommerce podium is planned & implemented to make the most of its reach to potential customers and provide them with a convenient, satisfying & protected shopping experience. </li></ul>
  19. 23. E-Commerce <ul><li>E-Commerce helps to Increase the sales revenue to the business </li></ul><ul><li>Business people can spend less money and earn high profits with e-commerce </li></ul><ul><li>It is very Easier to scale up online </li></ul><ul><li>Easily we can track the segment of customers who are happy with purchasing goods through online </li></ul><ul><li>Avoid losing sales to competitors who are online </li></ul><ul><li>Instantaneous global sales presence in quick time </li></ul><ul><li>We can Operate the business in 24 *7 basis </li></ul><ul><li>Easily we can increase our business customers </li></ul><ul><li>We set up shop anywhere in the world, self-governing of geographical locations </li></ul><ul><li>Inexpensive way to turn your Web site into a revenue center </li></ul>
  20. 24. Electronic Commerce
  21. 25. E-Commerce <ul><li>Reduce Customer Support costs via e-mail marketing & customary newsletters </li></ul><ul><li>We can create customized mailing list </li></ul><ul><li>Easily we can drive free traffic to the website </li></ul><ul><li>Instantly we can develop our business across the internet by using various e-commerce strategies </li></ul><ul><li>Customers can easily buy their products by using different payment gateways </li></ul><ul><li>Develop more shopping carts by using e-commerce </li></ul><ul><li>We can easily promote our business website by using various promotional activities such as Search Engine Optimization, Pay Per Click Management, Email Marketing, Social Media Optimization, Online Banner Advertisement, Online Branding and Affiliate Management etc </li></ul>
  22. 26. E-Learning <ul><li>E-learning (or electronic learning or eLearning ) encompasses forms of technology-enhanced learning (TEL) or very specific types of TEL such as online or Web-based learning . </li></ul><ul><li>E-learning fosters self paced learning whereby students can learn at the rate they prefer </li></ul>
  23. 28. Application of E-Learning <ul><li>E-Learning can provide for major benefits for the organizations and individuals involved . </li></ul><ul><li>Improved performance: A 12-year meta-analysis of research by the U.S. Department of Education found that higher education students in online learning generally performed better than those in face-to-face courses. </li></ul><ul><li>Increased access: Instructors of the highest calibre can share their knowledge across borders, allowing students to attend courses across physical, political, and economic boundaries. Recognized experts have the opportunity of making information available internationally, to anyone interested at minimum costs. For example, the MIT OpenCourseWare program has made substantial portions of that university's curriculum and lectures available for free online. </li></ul>
  24. 29. Application of E-Learning <ul><li>Convenience and flexibility to learners: In many contexts, eLearning is self-paced and the learning sessions are available 24x7. Learners are not bound to a specific day/time to physically attend classes. They can also pause learning sessions at their convenience. </li></ul><ul><li>To develop the skills and competencies needed in the 21st century, and in particular to ensure that learners have the digital literacy skills required in their discipline, profession or career </li></ul>
  25. 30. E-Governance
  26. 31. E-Governance <ul><li>E-Government (short for electronic government , also known as e-gov , digital government , online government or transformational government ) is used to refer to the use of information and communication technology to provide and improve government services, transactions and interactions with citizens, businesses, and other aims of government. </li></ul>
  27. 32. <ul><li>The primary delivery models of e-Government can be divided into: </li></ul><ul><li>Government-to-Citizen or Government-to-Customer (G2C) </li></ul><ul><li>Government-to-Business (G2B) </li></ul><ul><li>Government-to-Government (G2G) </li></ul><ul><li>Government-to- Employees (G2E) </li></ul>Applications of E-Governance
  28. 33. Applications of E-Governance <ul><li>Within each of these interaction domains, four kinds of activities take place: </li></ul><ul><li>pushing information over the Internet, e.g: regulatory services, general holidays, public hearing schedules, issue briefs, notifications, etc. </li></ul><ul><li>two-way communications between the agency and the citizen, a business, or another government agency. In this model, users can engage in dialogue with agencies and post problems, comments, or requests to the agency. </li></ul><ul><li>conducting transactions, e.g: lodging tax returns, applying for services and grants. </li></ul><ul><li>governance, e.g: online polling, voting, and campaigning </li></ul>
  29. 34. Open Session

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