The development of modern information systems is a demanding task. New technologies and tools are designed, implemented and presented in the market on a daily bases. User needs change dramatically fast and the IT industry copes to reach the level of efficiency and adaptability for its systems in order to be competitive and up-to-date. Thus, the realization of modern information systems with great characteristics and functionalities implemented for specific areas of interest is a fact of our modern and demanding digital society and this is the main scope of this Presentation.

1. Modern Information Systems
Dr. Kamal Gulati

2. Modern Information Systems
• Data, Information, Knowledge.
• Data Resource Management: Introduction
to DBMS, Benefits of DBMS over
traditional file system, Types of DBMS.
• Application of DBMS using MS-ACCESS
as a tool for understanding of DBMS
concepts.
• SQL Query handling , Forms, Concept of
Data Warehouses and Data Marts,
• Introduction to Data Centers

3. Topics Covered
• Data
• Information
• Collections of Data
• Example of Data
• Example of Information
• Knowledge
• Example of Knowledge
• Characteristics of Valuable
Information
• Personal Dimensions of
Information
• System
• Five Components of System
• Information Systems
• CBIS
• Levels of Systems
Types of Information Systems
- Transaction Processing System
- Management Information Systems
- Decision Support Systems
- Executive Support Systems
- Artificial Intelligence Systems
- Data mining and visualization system
- Office automation system
- Knowledge management system
- GIS - Geographic Information Systems
- ERP Systems
- CRM system and SCM Systems

4. Data Versus InformationData Versus Information
Monthly Sales Report
for West Region
Sales Rep: Charles Mann
Emp No. 79154
Item Qty Sold Price
TM Shoes 1200 $100

5. Data vs. Information
•Data consists of raw facts (i.e., a list of the numbers)
•Information is a collection of facts organized (or processed)
in such a way that they have additional value (i.e., a list of the
class grades based on the exam score
–In a way, information is data that has been transformed
into a more useful form
–Turning data into information is a process performed to
achieve a defined outcome and requires knowledge

6. Data
• Data are raw facts and
figures that on their
own have no meaning
• These can be any
alphanumeric
characters i.e. text,
numbers, symbols

7. Data Examples
• Yes, Yes, No, Yes, No, Yes, No, Yes
• 42, 63, 96, 74, 56, 86
• 111192, 111234
• None of the above data sets have any
meaning until they are given a
CONTEXT and PROCESSED into a
useable form

8. Data
• refers to a collection of facts usually collected as the result of
experience, observation or experiment, or processes within a
computer system, or a set of premises.
• This may consist of numbers, words, or images, particularly
as measurements or observations of a set of variables.
• Data is often viewed as a lowest level of abstraction from
which information and knowledge are derived

9. Collections of data
Data may be collected, manipulated and retrieved in
various ways:
• Plain text editor - simple editing and retrieval
• Word processor - adds tables and simple
calculations
• Spreadsheet programmes - adds more sophisticated
calculations
• Database Management System (DBMS) - adds
formats, structures, rules, ...
9

10. Data Into Information
• To achieve its aims the organisation
will need to process data into
information.
• Data needs to be turned into
meaningful information and presented
in its most useful format
• Data must be processed in a context in
order to give it meaning

11. Information
• Data that has been processed within a
context to give it meaning
OR
• Data that has been processed into a
form that gives it meaning

12. Example 1
Yes, Yes, No, Yes, No, Yes,
No, Yes, No, Yes, Yes
Raw Data
Context
Responses to the market
research question –
“Would you buy brand x
at price y?”
Information ???
Processing

13. Example 2
Raw Data
Context
Information
42, 63, 96, 74, 56, 86
Jaya scores in the six
AS/A2 ICT modules
???
Processing

14. Example 3
Raw Data
Context
Information
111192, 111234
The previous and current
readings of a customer’s
gas meter
???
Processing

15. 15
Data
• raw facts
• no context
• just numbers and text
Information
• data with context
• processed data
• value-added to data
– summarized
– organized
– analyzed

16. 16

17. Data vs. Information
Example -1
• Data: 251015
• Information:
– 25/10/15 The date of your final exam.
– Rs 2,51,015 The average starting salary of an
Business Analyst in IT Company .
– 251015 Pin code of Uttar Pradesh City.
17

18. Data vs. Information
Example - 2
18
Data
• 6.34
• 6.45
• 6.39
• 6.62
• 6.57
• 6.64
• 6.71
• 6.82
• 7.12
• 7.06
SIRIUS SATELLITE RADIO INC.
$5.80
$6.00
$6.20
$6.40
$6.60
$6.80
$7.00
$7.20
1 2 3 4 5 6 7 8 9 10
Last 10 Days
StockPrice

19. Knowledge
• Knowledge is the understanding of
rules needed to interpret information
“…the capability of understanding the
relationship between pieces of
information and what to actually do
with the information”

20. Knowledge Examples
• Using the 3 previous examples:
– A Marketing Manager could use this information
to decide whether or not to raise or lower price y
– Jayas teacher could analyse the results to
determine whether it would be worth her re-sitting
a module
– Looking at the pattern of the customer’s previous
gas bills may identify that the figure is abnormally
low and they are fiddling the gas meter!!!

21. Summary
Information Data Context Meaning= ++
Processing
Data – raw facts and figures
Information – data that has been processed (in a context) to give it meaning

23. Characteristics of Valuable Information
• Accessible
• Accurate
• Complete
• Economical
• Relevant
• Reliable
• Secure
• Simple
• Timely
• Verifiable

24. Personal Dimensions of Information
• The three personal
dimensions of
information include:
– Time
– Location
– Form

25. 25
Data  Information  Knowledge
Data
Information
Summarizing the data
Averaging the data
Selecting part of the data
Graphing the data
Adding context
Adding value

26. 26

27. 27

29. Basic system is composed of 5
components:
Input, Output, Processing, Feedback,
Control
• Typically processing helps transform data into
information.
Input Output
Processing
Raw Data Information

31. Information Systems
• Why Do People Need Information?
–Individuals - Entertainment and
enlightenment
–Businesses - Decision making,
problem solving and control

34. M a n a g e m e n t
O r g a n i z a t i o n s T e c h n o l o g y
I n f o r m a t i o n
S y s t e m s
An information system is a system which assembles, stores, processes, and
delivers information relevant to an organization (or to society) in such a way that
the information is accessible and useful to those who wish to use it, including
managers, staff, clients, and citizens.
An information system is a human activity (social) system which may or may not
involve the use of computer systems.

35. • An information systems is a collection of
components that collects, processes, stores,
analyzes, and disseminates information for a
specific purpose.
• The major components of a Computer-Based
Information System (CBIS) can include :-
(1) Hardware, (2) Software, (3) a Database (4)
a Network (5 ) Procedures, and (6) People.
• The system operates in a Social Context, and
the software usually includes application
programs which perform specific tasks for
users.

37. Level of Systems in an organization
• Operational Level
• Management Level
• Strategic Level

38. Kind of Information System
Strategic Level
Management level
Operational Level
Senior Managers
Middle Managers
Operational
Managers
Sales &
Marketing
Manufacturing Finance Accounting HR
Groups
Served

39. Fundamental Roles of IS in Business
39

40. Major Types of Information Systems used in
organizations
• Transaction Processing System
• Management Information Systems
• Decision Support Systems
• Executive Support Systems
• Intelligent system / Artificial Intelligence
• Data mining and visualization system
• Office automation system
• Knowledge management system
• GIS - Geographic Information Systems
• ERP Systems
• CRM system and SCM Systems

41. Transaction Processing System
(TPS)
• Serves operational level of the organization
Transactions,
Events
Sorting,
Listing,
Merging,
Updating
Detailed
reports,
Lists,
summaries
Users: Operational Personnel, supervisors
EXAMPLE: GROCERY STORE CHECKOUT CASH REGISTER WITH CONNECTION TONETWORK, POS,ATM
POS,EPOS,VENDING MACHINES

42. Management Information Systems
( MIS)
• Serves the management level of the organization
Summary
Transaction data,
High volume data
Routine reports,
Low level analysis
Summary and
Exception
reports
Users: Middle managers
EXAMPLE: Inventory management & planning system

43. Decision support system
(DSS)
• Serves the management level of the organization
Low volume data,
Analytic model
Interactive,
Simulations,
Analysis
Special reports,
Decision analysis,
Responses to queries
Users: Professionals, Staff managers
Example: TREND ANALYSIS, DEMAND FORCASTING

44. Executive Support System
(ESS)
• Serves the Strategic level of the organization
Aggregate data,
external,
Internal
Graphics,
Simulations,
Interactive
Users: Senior Managers
News retrieval and stock update information system
Projections,
Responses
to Queries

45. Relationship of Systems

46. Dr. Kamal Gulati
Associate Professor |
University Quality Support Head |
Mentoring Programme Coordinator
[Ph. D., M.Sc. (Computer Science), M.C.A., M.B.A]
Professional Certifications:
•Certified Microsoft Innovative Educator
•Data Science 101 Certification from Big Data University
•R Language 101 Certification from Big Data University
•SQL Certification from SOLOLEARN.com
•Certified IBM Big Data 101 from Big Data University
•R Program & Python Certified from DataCamp
•Wiley Certified Big Data Analyst [WCBDA]
•Certification on DBMS from IIT Mumbai
•Certified Cisco Certified Network Associate [CCNA]
•Certified Microsoft Certified Professional [MCP]
•Certified Brainbench in Computer Fundamentals, Microsoft Access, MySQL 5.7 Administration &
Microsoft Project

47. • Worked as Visiting Professor with Stratford University, USA for six months from
Jan’2016 to June’2016.
• Also worked at Bahrain University in Kingdom of Bahrain Sr. I.T. Faculty
(Computer Science Department) for Period of 2 Years.
• Have rich experience in the field of teaching and research in Computer Science and
Information Technology for almost 15+ years in Academia.
• Having experience of working with both private and public institutions and
universities as the lecturer and self-instruction material writer for Information
Technology courses.
• Had number of research papers published in national and international journals and
conference proceedings in IEEE and Scopus Index.
• Also chaired various National and International Conferences of repute and
associated with various International Journals as Editorial Board Member for
International and National, Academic Adviser and Research Paper Reviewer.
• My current area of interest: Big Data Analytics, R Software, Management
Information System, IT Project Management, Decision Support System, Business
Analytics, Database Management System, Data Networking and Advanced Excel with
Visual Basic Macros.
• Country Visited: USA, Canada, UK, UAE, Bahrain, Oman (Mostly for Teaching and
Research Purpose)
Profile of Dr. Kamal Gulati

48. • Technical Program Committee for International Conference on Data, Engineering and
Applications 2017 (IDEA-2k17) which would be on October 28-29, 2017 at Bhopal.
http://www.ideaconference.in
• Advisory Board Committee Member for International Conference on Energy, Communication,
Data Analytics and Soft Computing (ICECDS) which would be on 1-2 August 2017 at SKR
Engineering College, Poonamallee, Tamil Nadu, India. http://ecds.org.in
• Advisory Committee Member for International Conference on Innovative Research in Engineering
and Science which would be on 16-17 June 2017 at Asian Institute of Technology Conference
Center Thailand. http://www.iresconf.org
• Advisory Committee Member for International Conference on Cloud Computing and Internet of
everything which held on 10-11 Feb’2016 at Delhi-NCR. http://www.ccioet.org
• Technical Committee member for InCITe-2016 (International Conference on Information
Technology) Theme - Internet of Things: Connect Your Worlds, IT Summit, Amity University 2016
which held on 06-07 Oct, 2016. http://www.amity.edu/incite2016
• Technical Speaker for Global perspective on IT business “The Changing Scenario” – Big Data on
International Students Conference New Delhi (ISCND) which held on 14-15 Oct, 2016
http://iscnd.com
• Advisory Committee Member for International Conference on Sustainable Computing Techniques
in Engineering, Science and Management which has held on 09-10 Sep’2016 at Delhi-NCR.
http://www.scesm.org
• Technical Program Committee Member for Program Committee Member for International
Conference on Recent Trends IN ICT, Jaipur, India, Aug 18-19, 2017 http://rtict.org
• Program Committee Member for International Conference on Recent Advancement in Computer
and Communication Bhopal, India, (IC-RAC-2017) May 26-27, 2017 http://www.icrac.co.in
Profile Contd….

49. • Editorial Board member for the following International Journals:
– International Journal of Computer Science and Innovation
http://www.infinitysciences.org
– International Journal of Latest Research in Engineering and
Technology http://www.ijlret.com
– International Journal of Latest Trends in Engineering and
Technology http://www.ijltet.org
– International Journal of Application or
Innovation in Engineering & Management
http://www.ijaiem.org
– International Journal for Management http://www.ijm-apm.com
– ITM International Journal of Innovations in Science, Engineering
& Management www.iijisem.org
– The International Journal of Emerging Engineering and Embedded
Systems http://www.ijeees.org
– Conference Info http://conferenceinfo.org/tpc.php
– International Journal of Computer Engineering in Research Trends
(IJCERT) http://www.ijcert.org
•
Expert Speaker for Program “Insurance Beyond Doubt” Presented by Oriental Insurance Co Ltd.
https://www.youtube.com/watch?v=GrvJkN_Zn3Q
Profile Contd….

50. BOOK, CHAPTER, and CASE STUDY Published
• Published Book on “A Study of Changing Trends in E-
CRM of Indian Insurance Industry” Published by LAP
Lambert Academic Publishing, one of the top researchers
and renowned scientists of Germany with ISBN:
3330009543, 9783330009547. The Book available at
Amazon.com.
• Published Real Case Study on “IoT Security Considerations
for Higher Education” published on Business Cases -
RENVOI 2017 BOOK (The Case Centre, UK) with ISBN:
978-1-4828-8840-9, Page 63-70. The Book available at the
various online website: Amazon, AbeBooks, Chegg, Barnes
& Noble.
• Published Chapter on "Role of eWorld in Insurance
Innovation" Published by Insurance Institute of India (III),
60 Years Diamond Jubilee, Compendium, Nov 2016 –
(Magazine) – One of the premium Insurance Institute of
India.

51. Contact Details
• Email : drkamalgulati@gmail.com
• Website : http://mybigdataanalytics.in
• LinkedIn : https://in.linkedin.com/in/drkamalgulati