SlideShare a Scribd company logo
1 of 40
Chapter 7:
INFORMATION,KNOWLEDGE,BUSINESS INTELLIGENCE
Introduction

 Differentiate between data, information and knowledge
 Effective Information presentation
 Quality of information
 Classes of Information
 Application of value concept to information
 Value of Additional information
 Human as information processes
 Differentiate between tactical and explicit knowledge




Page  2
Information Concepts


 Information mean process on data
 Data is raw material and information is finished goods
 Information has a value in decision making
 Information brings clarity and creates an intelligent human response in
  mind
 Information is a data that has been processed into a form that is
  meaningful to the recipient
 Information is a real value




Page  3
Characteristics of Information

 Improves representation of an entity
 Updates the level of knowledge
 Has a surprise value
 Reduces uncertainty
 Aids in decision-making




Page  4
Characteristics of Information

 Improves representation of an entity:-
        Data is combination of meaningful and non meaningful values
  where information is always subject oriented and it has created for
  meaningful purpose so it is effective data representation tool.
• Update level of knowledge:-
         Information is useful to update knowledge of decision maker by
  providing complete base in which decision maker will take vital decision
  with use of those information


• Information has a surprise value:
        Information is useful with some meaningful purpose with this it can
  contain surprise value which is useful in other projects and other
  departments in organizations
Page  5
Characteristics of Information

 Reduces uncertainty:-
                Information reduces uncertainty by providing complete
  overview of system and providing effective platform to decision maker in
  which decision maker will make vital decision.


 Aids in Decision-Making:-
               With this concept information provides something extra
  with knowledge and subject oriented description which is helpful to
  decision maker.




Page  6
Conceptual Model of Communication

 Whether an entity is data or information it must be transferred threw
  communication from source to destination with out loss of content. With
  the use of general model content is travels from source to destination.


  Source        Transmitter                     Receiver
                Encoder           Channel                       Destination
                                                Decoder


                              Noise and
                              Distortion




Page  7
Information Presentation

 It is an art which is use to analytically transmitted value from data to
  information
 Degree of communication is effected in information presentation
 One of the method is Information Summarization
 Generally it has done in tabular format
 For Example
 Key For                   Focus on Information Operations
 Summarization
 Management Position       Responsibility         GM, Divisional Head of
                                                  Marketing,Materials
 Mgmt function levels in   Performance,Goals,Ta   Production Target,
 the org selective on      rget                   Manager’s
 condition                                        performance
                                                  evaluations
Page  8
Information Presentation
 Another method is effective communication to prevent this one should
  avoid misuse of information. Here some of methods into beloved table:


   Method                       Reason                         Example

   Delayed delivery of          A possibility of immediate Sales report or copy of
   information                  action reduced. It will    invoice of sales
                                have knowledge value.      representative
   Change format and            Provide only that              Sales report to operation
   content of report            information which is           mgmt,Sales report to top
                                needed                         mgmt
   Superstition and filtering   Avoid risk and achieve         Price, cost information
   of information               goal
   Suppress detail and          Make it difficult to collect   Stastical report with no
   reference of data and        for others and secure          references
   information                  them
   Truncated presentation       Make it difficult to read      Production details
Page  9                        and secure them
Attributes of information
Attribute                       Explanation
The accuracy in                 It depends on situation and degree of precision will
representation                  decide accuracy in information
The form of presentation        Format should be either numeric or graphical,
                                summarized or detailed, printed or displayed in short it
                                should be proper.
The frequency of reporting      Information should be proper and updated
The scope of reporting          The coverage of information in terms of entities, area
                                and range will be in terms of decision maker wants.
The scope of collection         Internal or external according to org’s structure
The time scale                  Related with past, current and future in short entire
                                time oriented
The relevance to decision       Depend on situation and relevance to decision making
making
Complete for decision making    Information should be completed according to
                                decision making aspects.
The timelineness of reporting   Information should focus on time late information can
  Page  10
                                not acceptable for organization
Information: A quality product

 Information is quality product mean it should be error free and helpful to
  decision maker
 Reason for occurring errors in information are
- An incorrect data measurement
- An incorrect collection method
- Failure of data processing procedure
- Loss of data
- Incompleteness of data
- Poor application of data validation
- Poor data control systems
- A deliberate falsification

Page  11
Information: A quality product


 Points which is useful to maintain quality of information
- Parameters impacting quality
- Impartiality
- Validity
- Reliability
- Consistency
- Age




Page  12
Parameters impacting quality



 Impartiality:-
         It has no bias and has been collected without any destroyed view of
  situation and data should be collected with some motive.


 Validity:-
         It is related with purpose of information. If information is able to fulfill
  the purpose of decision then it is consider as a valid information


• Reliability:-

         It is connected to the representation and what the accuracy of
      described data and it is based on analysis of system

Page  13
Parameters impacting quality


 Consistency:
        Information should follow certain standard regarding consistency
  and format in short the flow of information should be subject oriented and
  consistent


• Age:-
        Age should be low or information age not as old as that it becomes
  an unuseful product in short information should be updated format.




Page  14
Classification of Information


 According to Prof John Dearden of Harverd university information is
  classificied of following ways:
- Action versus No Action information
- Recurring Versus Non Recurring Information
- Internal Versus External information
- Planning Information
- Control Information
- Knowledge




Page  15
Classification of Information


 Action Versus No-Action Information:
       Example of action information is Maintain a stock ledger and
  example of no action information is stock balances


• Recurring versus non recurring information:

           The information generated at regular intervals is a recurring
      information for example monthly sales report.
  • Internal versus External information:
           The information which contain internal part of organization is
      internal for example schedule of employee
           The information which contain external part is called external
      information for example government records etc
Page  16
Classification of Information


 Planning information:-
        Information which is useful for planning is called planning
  information the time standard, the operational standards etc


• Control Information:

            The information reporting through a feedback mechanism is called
        the control information
  • Knowledge::-
          A collection of information through the library reports and the
      research studies build a knowledge base as a source for decision-
      making.


Page  17
Organization and Information



                       External                 Low


                                   Top Mgmt


                                  Middle Mgmt
                            Organization Mgmt


            Internal                                  High




Page  18
Methods of Data and Information Collection


 Observation
 Experiment
 Survey
 Subjective Estimation
 Transaction processing purchased from outside
 Publications
 Government Agencies




Page  19
Value of the Information


 The information has a perceived value in terms of decision making
 Value should be wiped out uncertainty in decision making
 Value should be count using following formula
 VPI= (V2-V1)-(C2-C1)
 Where V is value of information and C is cost of obtaining information
 V1 and C1 Is related with one set of information and V2 and C2 is related
  with new set of information , VPI is value per information
 This formula is useful to count value of information which includes the
  cost factors so it provides the perfect idea to count information
 It is useful tool for manager to make decision regarding use of this
  information


Page  20
General Model of Human as Information Processor


 A Manager generally use eyes, ears to pick up information
 Information should process using filtering method
 The filtering process generally blocks the unwanted or inconsistent data
  or the data which does not match the frame of references
 Filtering is one kind of error correction process which applies on
  information
 Filtering is based on manager’s experience, Knowledge, Skills, Choice,
  Amount of urgency, Confidence in particular method of decision making
  etc
 General model is as given belove




Page  21
General Model of Human as Information Processor




                        Brain,Use of Stored Knowledge

                        And Experience



                              Mental         Application
   Input    Filtering                                      Output
                              Processing     Selection




Page  22
Manager’s Individual Differences


 The points which effects while collecting information regarding manager’s
  individual differences are
- Internal and External situation of Firm
- Personal dogmatism
- Risk propensity
- Tolerance for ambiguity
- Manipulative Intelligence
- Experience in Decision Making
- Knowledge of Task, tool and Technology
- The management level from lower to higher



Page  23
Summary Of information Concepts and their implications
 Understanding of information concepts is very important and relevant to
  the system designer and information user the concepts are
- Filtering
- Simon Model and Applications
- Codes and representation
- Highlighting
- Stastical Analysis
- Format
- Referencing and Adjustments
- Cognitive style
- Learning theory
- Feedback Loop
- Perceived Value of Data
- Information Absorption
   Page  24
- Individual Differences
Summary Of information Concepts


 Filtering:-
        This process take place after information collection this is generally
  correction of errors in information


• Simon model and its application:-

          The designer should attempt to provide that clearly defines the
      problem space and decision should provide solution of problem


  • Codes and representation:-
         The system designer should evolves such coding system that is
      easy for user and easy for manager to understand.

Page  25
Summary Of information Concepts


 Highlighting:-
          The designer should provide information such a way that a
  significant differences between standard and performance, The budgets
  and actual are highlighted
* Stastical analysis:-
        Information should be meaningful best way is provide in stastical
  format so decision can easily been concluded from them
• Format:-
        Format of information should have completed and easy to
  understand by user and it should have consistent.


• Referencing and adjustments:-

Page  26
         Designer should able to generate information with references to
  other system and adjust information according to others
Summary Of information Concepts


 Cognitive Style:-
        Each user have their own style to resolving information so styles of
 representing information should be easy to implement and useful to other
 users too.


• Learning Theory:-
        The designer will able to ready to learn something new which is
 useful to maintain appropriate information and information has not
 overload with bunches of data and that thing is known by him


• Feedback Loop:-

       While providing information designer will make a feedback loop where
       users will give their suggestions that can be useful to correction and
Page  27
       increase quality of system.
Summary Of information Concepts


 Perceived value of data:-
        Some data in information is not useful for that operation but
  according to its perceived value these are kept in information so this is
  perceived value which is useful for future.
• Information Absorption:-
        Designer should provide only those information which user will
  grasp and able to understand
• Individual Differences:-
          Information will always different according to different human being
  and it is highly effected on decision.




Page  28
Knowledge And Knowledge Management Systems


 Knowledge is a set of information which provides capability to understand
  different situations , enables to anticipate implications and judge their
  effects, suggest ways or clues to handle situations
 Knowledge is provide a complete platform to handle complex situation
  and it has capability to provide complete solution to decision maker.
 Knowledge is best illustrated and applicable to resolve complex problem
  situations.
 It has different from data and information
 Data is raw material where information is process on data
 Knowledge is analyzed information and generate some conclusive thing
  which is useful for future.



Page  29
Knowledge And Knowledge Management Systems


 For Example:
- Collect rainfall record on daily bases is data
- This data is processed by year and month , it is an information
- When this information is analyzed using analytical tools, it revels rainfall
  pattern. This pattern is knowledge
- Generally knowledge is useful for future and improves skill, Performance
  of user.
- It has three components
- First is visualization of strategic option to handle complex situation
- Second is anticipative and assessment of result
- Third is provide a complete base for decision maker.

Page  30
Types of Knowledge


 It has three types
- First is explicit knowledge which can be codified or modeled for
  example software product and packaging
- Second is tacit knowledge which can not be codified it is intangible
  knowledge for example performance review, Market value of org.
- Third is intellectual knowledge which is could be tacit or explicit
  generally this type of knowledge can be count using first two knowledge
- Intellectual knowledge is exact analyzed knowledge from information
- For organization point of view to manage knowledge is the key resource
  because it is important with us it the business economy is turn into
  knowledge economy.



Page  31
Knowledge Management


 It is the systematic and explicit management of knowledge related
  activities.
 KM is comprehensive towards focusing on three perspectives of business
  operational, tactical and strategic
 KM dispels some myths which must be mentioned for correction
- KM initiatives and activities lead to more work. Instead improved
  knowledge and usage.
- KM initiatives and activities is an additional function. Instead it is an
  extension to existing technology driven information management function.
- People are often afraid to share their knowledge.




Page  32
Driving Forces behind KM


 The emergence of KM is a result of many forces in today’s world KM is
  not an alternative or luxury, But it is a necessity due to demand of
  customer centric business initiatives
 KM is steady and customer centric process.
 It has 2 driving Forces
 First is External forces which is focuses on outer world
 Second is internal forces which is focuses on inner thing of organization




Page  33
Driving Forces behind KM


 External Forces:
        Business organizations perform environments that they can not
  control and success depends on how they deal with these forces and still
  grow. The issues related with external forces are as under


- Globalization of Business
- Demanding Customers
- Innovative Competitors
- Resourceful Vendors




Page  34
Driving Forces behind KM


 Internal forces:
           Like forces in external environments this impact with internal part of
  organization. To control negative impact of these forces knowledge
  initiatives are necessary the points which are effected with this are as
  given beloved
- Bottlenecks in effectiveness
- Technological capabilities
- Understanding of human cognitive functions




Page  35
Key Aspects of KM


 There are four key aspects of KM which are importance
1)Accelerating knowledge creation and application:-
         Knowledge is not static it is completely change according to
  situation so knowledge application is completely updated format and up to
  date.
2) Converting tacit knowledge into explicit knowledge:-
        KM converts tacit into explicit by implies methods and processed
  which is beneficial to their future usage.
3) Build Knowledge Assets:-
          Some of the knowledge is strategically important so need to protect
  it with various types of processes on them.
4) In summary KM involves knowledge generation through creation and
 acquisition threw integration , pooling, Storage and indentification.
Page  36
Business Intelligence


 BI is a term that refers to the sum total of gathering and processing data,
  Building rich and relevant information and maintain it live and up to date.
 BI is used for timely, Effective decisions and better plan for future.
 BI is an outcome of turning a raw data into intelligent information by
  analyzing and re-arranging data according to relationship between data
  item and actual subject oriented analysis.
 BI Is depended on following things
- Technology and Software infrastructure
- Databases, Data Warehouses.
- Develops and maintains knowledge databases for all core functions and
 business.


Page  37
Data, Information and Knowledge, Business
intelligence

      Product
      Database

                       Function
                       DB
      Material
      Database


                      Knowledge     Business
     Customer         DW            DW         Business
     Vendor                                    Intelligence
     Database                                  DB


                      Engineering
        External
                      DB
        Information
 Page  Database
        38
MIS and Information and Knowledge


 The main goal of MIS to provide information which has surprise value and
  reduces the uncertainty to help decision making process.
 MIS should simultaneously build the knowledge base in the org by
  processing data obtained from different sources in different ways.
 Effective communication model provide a special way to transfer data
  from source to destination with help of noise and distortion
 The information is quality produce for org.
 MIS provide specific attention to quality parameters
 MIS will provide different kinds of information with help of this decision
  maker can take useful decisions..
 Decision maker is human so there is chance of errors but MIS help them
  to reduced error and also guide them towards the right way.

Page  39
MIS and Information and Knowledge


 The MIS design should be such that it meets need of total organization.
 The information may be miscued if it falls if it falls into wrong hands, The
  mis design should have features of filtering, blocking, suppressions and
  delayed delivery.
 Modern Mis not only should provide information but also support
  management by providing knowledge necessary at all levels for critical
  decisions.
 KMS is now a part of MIS suite.
 Knowledge is a result of putting different information sets together and
  analyzing them and viewing them in particular manner.
 Data processing, Transaction processing, Application processing sytsems
  will give different information sets.
 First will give and explicit knowledge. Further application of the explicit
  knowledge over a period to solve the problems creates a tacit
Page  40
  knowledge.

More Related Content

What's hot

Big data visualization
Big data visualizationBig data visualization
Big data visualizationAnurag Gupta
 
Decision Support Systems
Decision Support SystemsDecision Support Systems
Decision Support Systemsluzenith_g
 
Managing production across supply chain
Managing production across supply chainManaging production across supply chain
Managing production across supply chainSushant Kumar Sinha
 
Information Technology for Management and Business
Information Technology for Management and BusinessInformation Technology for Management and Business
Information Technology for Management and BusinessGanta Kishore Kumar
 
Infrastructure of E- commerce and Issues of e-commerce infrastructure
Infrastructure of E- commerce and Issues of e-commerce infrastructureInfrastructure of E- commerce and Issues of e-commerce infrastructure
Infrastructure of E- commerce and Issues of e-commerce infrastructurePrince Sharma
 
Mis system analysis and system design
Mis   system analysis and system designMis   system analysis and system design
Mis system analysis and system designRahul Hedau
 
Unit 3 Management Information System
Unit 3 Management Information SystemUnit 3 Management Information System
Unit 3 Management Information SystemAbhishek Iyer
 
Transaction processing system
Transaction processing systemTransaction processing system
Transaction processing systemanjana1994
 
Managing International Information Systems
Managing International Information Systems Managing International Information Systems
Managing International Information Systems Mostafa Ewees
 
business analytics.ppt
business analytics.pptbusiness analytics.ppt
business analytics.pptRenu Lamba
 
Six major types of information systems
Six major types of information systemsSix major types of information systems
Six major types of information systemsMohanraj V
 
Management Information Technology - Chapter 1
Management Information Technology - Chapter 1Management Information Technology - Chapter 1
Management Information Technology - Chapter 1Joel Briza
 
An Introduction to Information Systems
An Introduction to Information SystemsAn Introduction to Information Systems
An Introduction to Information SystemsDYKtv Channel
 

What's hot (20)

Business information system
Business information systemBusiness information system
Business information system
 
Strategic use of information systems
Strategic use of information systemsStrategic use of information systems
Strategic use of information systems
 
Big data visualization
Big data visualizationBig data visualization
Big data visualization
 
Data mining and its applications!
Data mining and its applications!Data mining and its applications!
Data mining and its applications!
 
Decision Support Systems
Decision Support SystemsDecision Support Systems
Decision Support Systems
 
Managing production across supply chain
Managing production across supply chainManaging production across supply chain
Managing production across supply chain
 
Information Technology for Management and Business
Information Technology for Management and BusinessInformation Technology for Management and Business
Information Technology for Management and Business
 
Infrastructure of E- commerce and Issues of e-commerce infrastructure
Infrastructure of E- commerce and Issues of e-commerce infrastructureInfrastructure of E- commerce and Issues of e-commerce infrastructure
Infrastructure of E- commerce and Issues of e-commerce infrastructure
 
Mis system analysis and system design
Mis   system analysis and system designMis   system analysis and system design
Mis system analysis and system design
 
Mis notes
Mis notesMis notes
Mis notes
 
Unit 3 Management Information System
Unit 3 Management Information SystemUnit 3 Management Information System
Unit 3 Management Information System
 
Transaction processing system
Transaction processing systemTransaction processing system
Transaction processing system
 
INFORMATION TECHNOLOGY FOR BUSINESS
INFORMATION TECHNOLOGY FOR BUSINESSINFORMATION TECHNOLOGY FOR BUSINESS
INFORMATION TECHNOLOGY FOR BUSINESS
 
Marketing information system
Marketing information systemMarketing information system
Marketing information system
 
Financial Information System
Financial Information SystemFinancial Information System
Financial Information System
 
Managing International Information Systems
Managing International Information Systems Managing International Information Systems
Managing International Information Systems
 
business analytics.ppt
business analytics.pptbusiness analytics.ppt
business analytics.ppt
 
Six major types of information systems
Six major types of information systemsSix major types of information systems
Six major types of information systems
 
Management Information Technology - Chapter 1
Management Information Technology - Chapter 1Management Information Technology - Chapter 1
Management Information Technology - Chapter 1
 
An Introduction to Information Systems
An Introduction to Information SystemsAn Introduction to Information Systems
An Introduction to Information Systems
 

Viewers also liked

Knowledge management and business intelligence
Knowledge management and business intelligenceKnowledge management and business intelligence
Knowledge management and business intelligenceAzmi Taufik
 
Serendipitous Conversations - RCT Project for law firms
Serendipitous Conversations - RCT Project for law firmsSerendipitous Conversations - RCT Project for law firms
Serendipitous Conversations - RCT Project for law firmsThe Knowledge Business
 
Understanding the difference between Data, information and knowledge
Understanding the difference between Data, information and knowledgeUnderstanding the difference between Data, information and knowledge
Understanding the difference between Data, information and knowledgeNeeti Naag
 
Mis & Decision Making
Mis & Decision MakingMis & Decision Making
Mis & Decision MakingArun Mishra
 
Knowledge management & organizations
Knowledge management & organizationsKnowledge management & organizations
Knowledge management & organizationsKaustubh Gupta
 
Introduction to Library Research
Introduction to Library ResearchIntroduction to Library Research
Introduction to Library ResearchAndrew Walsh
 
Dynamics Of Disease Transmission
Dynamics Of Disease TransmissionDynamics Of Disease Transmission
Dynamics Of Disease TransmissionAkhilesh Bhargava
 
Information system for production management
Information system for production managementInformation system for production management
Information system for production managementwimmba
 
Selection of research problem
Selection of research problemSelection of research problem
Selection of research problembiniyapatel
 
Choosing a Research Topic
Choosing a Research TopicChoosing a Research Topic
Choosing a Research TopicAndrew Walsh
 
Modes of Transmission
Modes of TransmissionModes of Transmission
Modes of TransmissionAubrey Arenas
 

Viewers also liked (20)

Knowledge management and business intelligence
Knowledge management and business intelligenceKnowledge management and business intelligence
Knowledge management and business intelligence
 
Serendipitous Conversations - RCT Project for law firms
Serendipitous Conversations - RCT Project for law firmsSerendipitous Conversations - RCT Project for law firms
Serendipitous Conversations - RCT Project for law firms
 
BI and DSS
BI and  DSSBI and  DSS
BI and DSS
 
Business Intelligence and Knowledge Management
Business Intelligence and Knowledge ManagementBusiness Intelligence and Knowledge Management
Business Intelligence and Knowledge Management
 
Understanding the difference between Data, information and knowledge
Understanding the difference between Data, information and knowledgeUnderstanding the difference between Data, information and knowledge
Understanding the difference between Data, information and knowledge
 
Dynamics Of Disease Transmission
Dynamics Of Disease TransmissionDynamics Of Disease Transmission
Dynamics Of Disease Transmission
 
Mis & Decision Making
Mis & Decision MakingMis & Decision Making
Mis & Decision Making
 
Propositions
PropositionsPropositions
Propositions
 
Knowledge management & organizations
Knowledge management & organizationsKnowledge management & organizations
Knowledge management & organizations
 
Introduction to Library Research
Introduction to Library ResearchIntroduction to Library Research
Introduction to Library Research
 
Ppt ch01
Ppt ch01Ppt ch01
Ppt ch01
 
hosting.ppt
hosting.ppthosting.ppt
hosting.ppt
 
Dynamics Of Disease Transmission
Dynamics Of Disease TransmissionDynamics Of Disease Transmission
Dynamics Of Disease Transmission
 
Ojt endorsement letter
Ojt endorsement letterOjt endorsement letter
Ojt endorsement letter
 
Information system for production management
Information system for production managementInformation system for production management
Information system for production management
 
Dynamics of disease transmission
Dynamics of disease transmissionDynamics of disease transmission
Dynamics of disease transmission
 
Selection of research problem
Selection of research problemSelection of research problem
Selection of research problem
 
Choosing a Research Topic
Choosing a Research TopicChoosing a Research Topic
Choosing a Research Topic
 
Disease transmission and cycle
Disease transmission and cycleDisease transmission and cycle
Disease transmission and cycle
 
Modes of Transmission
Modes of TransmissionModes of Transmission
Modes of Transmission
 

Similar to Data to Decisions: Understanding Information, Knowledge and Business Intelligence

Concept of information
Concept of informationConcept of information
Concept of informationreeta nagari
 
Enterprise Data Management Enables Unique Device Identification (UDI)
Enterprise Data Management Enables Unique Device Identification (UDI)Enterprise Data Management Enables Unique Device Identification (UDI)
Enterprise Data Management Enables Unique Device Identification (UDI)First San Francisco Partners
 
Information Governance: Reducing Costs and Increasing Customer Satisfaction
Information Governance: Reducing Costs and Increasing Customer SatisfactionInformation Governance: Reducing Costs and Increasing Customer Satisfaction
Information Governance: Reducing Costs and Increasing Customer SatisfactionCapgemini
 
Is Your Agency Data Challenged?
Is Your Agency Data Challenged?Is Your Agency Data Challenged?
Is Your Agency Data Challenged?DLT Solutions
 
CDO Vision: The Value of Data
CDO Vision: The Value of DataCDO Vision: The Value of Data
CDO Vision: The Value of DataDATAVERSITY
 
Driving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information ManagementDriving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information ManagementRay Bachert
 
IMEX Frankfurt - BIG DATA session - Human Equation
IMEX Frankfurt - BIG DATA session - Human EquationIMEX Frankfurt - BIG DATA session - Human Equation
IMEX Frankfurt - BIG DATA session - Human EquationHuman Equation
 
value and implications of master data management.pptx
value and implications of master data management.pptxvalue and implications of master data management.pptx
value and implications of master data management.pptxMuhammad Khalid
 
Identifying Costs of Shadow Finance in FP&A
Identifying Costs of Shadow Finance in FP&AIdentifying Costs of Shadow Finance in FP&A
Identifying Costs of Shadow Finance in FP&ASteve Potter
 
Identifying Costs of Shadow Finance in FP&A
Identifying Costs of Shadow Finance in FP&AIdentifying Costs of Shadow Finance in FP&A
Identifying Costs of Shadow Finance in FP&AWorkiva
 
Leading enterprise-scale big data business outcomes
Leading enterprise-scale big data business outcomesLeading enterprise-scale big data business outcomes
Leading enterprise-scale big data business outcomesGuy Pearce
 
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
 
Recognition of information value
Recognition of information valueRecognition of information value
Recognition of information valueMark Albala
 
Data Governance And Culture
Data Governance And CultureData Governance And Culture
Data Governance And Culturennorthrup
 
Mis final unit 2 information
Mis final unit 2 informationMis final unit 2 information
Mis final unit 2 informationnaveentiwari63
 
The CDO and the Delivery of Enterprise Value
The CDO and the Delivery of Enterprise ValueThe CDO and the Delivery of Enterprise Value
The CDO and the Delivery of Enterprise ValueMark Albala
 

Similar to Data to Decisions: Understanding Information, Knowledge and Business Intelligence (20)

Mis ch04
Mis ch04Mis ch04
Mis ch04
 
Impact of data effectiveness
Impact of data effectivenessImpact of data effectiveness
Impact of data effectiveness
 
Concept of information
Concept of informationConcept of information
Concept of information
 
Enterprise Data Management Enables Unique Device Identification (UDI)
Enterprise Data Management Enables Unique Device Identification (UDI)Enterprise Data Management Enables Unique Device Identification (UDI)
Enterprise Data Management Enables Unique Device Identification (UDI)
 
Information Governance: Reducing Costs and Increasing Customer Satisfaction
Information Governance: Reducing Costs and Increasing Customer SatisfactionInformation Governance: Reducing Costs and Increasing Customer Satisfaction
Information Governance: Reducing Costs and Increasing Customer Satisfaction
 
Is Your Agency Data Challenged?
Is Your Agency Data Challenged?Is Your Agency Data Challenged?
Is Your Agency Data Challenged?
 
CDO Vision: The Value of Data
CDO Vision: The Value of DataCDO Vision: The Value of Data
CDO Vision: The Value of Data
 
Driving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information ManagementDriving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information Management
 
IMEX Frankfurt - BIG DATA session - Human Equation
IMEX Frankfurt - BIG DATA session - Human EquationIMEX Frankfurt - BIG DATA session - Human Equation
IMEX Frankfurt - BIG DATA session - Human Equation
 
Lean information
Lean informationLean information
Lean information
 
value and implications of master data management.pptx
value and implications of master data management.pptxvalue and implications of master data management.pptx
value and implications of master data management.pptx
 
Identifying Costs of Shadow Finance in FP&A
Identifying Costs of Shadow Finance in FP&AIdentifying Costs of Shadow Finance in FP&A
Identifying Costs of Shadow Finance in FP&A
 
Identifying Costs of Shadow Finance in FP&A
Identifying Costs of Shadow Finance in FP&AIdentifying Costs of Shadow Finance in FP&A
Identifying Costs of Shadow Finance in FP&A
 
Leading enterprise-scale big data business outcomes
Leading enterprise-scale big data business outcomesLeading enterprise-scale big data business outcomes
Leading enterprise-scale big data business outcomes
 
MIS - Quality of Information.pptx
MIS - Quality of Information.pptxMIS - Quality of Information.pptx
MIS - Quality of Information.pptx
 
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
 
Recognition of information value
Recognition of information valueRecognition of information value
Recognition of information value
 
Data Governance And Culture
Data Governance And CultureData Governance And Culture
Data Governance And Culture
 
Mis final unit 2 information
Mis final unit 2 informationMis final unit 2 information
Mis final unit 2 information
 
The CDO and the Delivery of Enterprise Value
The CDO and the Delivery of Enterprise ValueThe CDO and the Delivery of Enterprise Value
The CDO and the Delivery of Enterprise Value
 

More from Hiren Selani

Unit 3 3 architectural design
Unit 3 3 architectural designUnit 3 3 architectural design
Unit 3 3 architectural designHiren Selani
 
Dss & knowledge management
Dss & knowledge managementDss & knowledge management
Dss & knowledge managementHiren Selani
 
Computer forensics
Computer forensicsComputer forensics
Computer forensicsHiren Selani
 
Application in manufacturing sector
Application in manufacturing sectorApplication in manufacturing sector
Application in manufacturing sectorHiren Selani
 
Application In service sector
Application In service sectorApplication In service sector
Application In service sectorHiren Selani
 
Development process of mis
Development process of misDevelopment process of mis
Development process of misHiren Selani
 
DEVELOPMENT PROCESS OF MIS
DEVELOPMENT PROCESS OF MISDEVELOPMENT PROCESS OF MIS
DEVELOPMENT PROCESS OF MISHiren Selani
 

More from Hiren Selani (14)

Digitalbusiness
DigitalbusinessDigitalbusiness
Digitalbusiness
 
Introduction
IntroductionIntroduction
Introduction
 
Unit 3 3 architectural design
Unit 3 3 architectural designUnit 3 3 architectural design
Unit 3 3 architectural design
 
Chapter 09
Chapter 09Chapter 09
Chapter 09
 
Process models
Process modelsProcess models
Process models
 
Dss & knowledge management
Dss & knowledge managementDss & knowledge management
Dss & knowledge management
 
Computer forensics
Computer forensicsComputer forensics
Computer forensics
 
Cyber terrorism
Cyber terrorismCyber terrorism
Cyber terrorism
 
Application in manufacturing sector
Application in manufacturing sectorApplication in manufacturing sector
Application in manufacturing sector
 
Application In service sector
Application In service sectorApplication In service sector
Application In service sector
 
Development process of mis
Development process of misDevelopment process of mis
Development process of mis
 
DEVELOPMENT PROCESS OF MIS
DEVELOPMENT PROCESS OF MISDEVELOPMENT PROCESS OF MIS
DEVELOPMENT PROCESS OF MIS
 
System
SystemSystem
System
 
Decision making
Decision makingDecision making
Decision making
 

Data to Decisions: Understanding Information, Knowledge and Business Intelligence

  • 2. Introduction  Differentiate between data, information and knowledge  Effective Information presentation  Quality of information  Classes of Information  Application of value concept to information  Value of Additional information  Human as information processes  Differentiate between tactical and explicit knowledge Page  2
  • 3. Information Concepts  Information mean process on data  Data is raw material and information is finished goods  Information has a value in decision making  Information brings clarity and creates an intelligent human response in mind  Information is a data that has been processed into a form that is meaningful to the recipient  Information is a real value Page  3
  • 4. Characteristics of Information  Improves representation of an entity  Updates the level of knowledge  Has a surprise value  Reduces uncertainty  Aids in decision-making Page  4
  • 5. Characteristics of Information  Improves representation of an entity:- Data is combination of meaningful and non meaningful values where information is always subject oriented and it has created for meaningful purpose so it is effective data representation tool. • Update level of knowledge:- Information is useful to update knowledge of decision maker by providing complete base in which decision maker will take vital decision with use of those information • Information has a surprise value: Information is useful with some meaningful purpose with this it can contain surprise value which is useful in other projects and other departments in organizations Page  5
  • 6. Characteristics of Information  Reduces uncertainty:- Information reduces uncertainty by providing complete overview of system and providing effective platform to decision maker in which decision maker will make vital decision.  Aids in Decision-Making:- With this concept information provides something extra with knowledge and subject oriented description which is helpful to decision maker. Page  6
  • 7. Conceptual Model of Communication  Whether an entity is data or information it must be transferred threw communication from source to destination with out loss of content. With the use of general model content is travels from source to destination. Source Transmitter Receiver Encoder Channel Destination Decoder Noise and Distortion Page  7
  • 8. Information Presentation  It is an art which is use to analytically transmitted value from data to information  Degree of communication is effected in information presentation  One of the method is Information Summarization  Generally it has done in tabular format  For Example Key For Focus on Information Operations Summarization Management Position Responsibility GM, Divisional Head of Marketing,Materials Mgmt function levels in Performance,Goals,Ta Production Target, the org selective on rget Manager’s condition performance evaluations Page  8
  • 9. Information Presentation  Another method is effective communication to prevent this one should avoid misuse of information. Here some of methods into beloved table: Method Reason Example Delayed delivery of A possibility of immediate Sales report or copy of information action reduced. It will invoice of sales have knowledge value. representative Change format and Provide only that Sales report to operation content of report information which is mgmt,Sales report to top needed mgmt Superstition and filtering Avoid risk and achieve Price, cost information of information goal Suppress detail and Make it difficult to collect Stastical report with no reference of data and for others and secure references information them Truncated presentation Make it difficult to read Production details Page  9 and secure them
  • 10. Attributes of information Attribute Explanation The accuracy in It depends on situation and degree of precision will representation decide accuracy in information The form of presentation Format should be either numeric or graphical, summarized or detailed, printed or displayed in short it should be proper. The frequency of reporting Information should be proper and updated The scope of reporting The coverage of information in terms of entities, area and range will be in terms of decision maker wants. The scope of collection Internal or external according to org’s structure The time scale Related with past, current and future in short entire time oriented The relevance to decision Depend on situation and relevance to decision making making Complete for decision making Information should be completed according to decision making aspects. The timelineness of reporting Information should focus on time late information can Page  10 not acceptable for organization
  • 11. Information: A quality product  Information is quality product mean it should be error free and helpful to decision maker  Reason for occurring errors in information are - An incorrect data measurement - An incorrect collection method - Failure of data processing procedure - Loss of data - Incompleteness of data - Poor application of data validation - Poor data control systems - A deliberate falsification Page  11
  • 12. Information: A quality product  Points which is useful to maintain quality of information - Parameters impacting quality - Impartiality - Validity - Reliability - Consistency - Age Page  12
  • 13. Parameters impacting quality  Impartiality:- It has no bias and has been collected without any destroyed view of situation and data should be collected with some motive.  Validity:- It is related with purpose of information. If information is able to fulfill the purpose of decision then it is consider as a valid information • Reliability:- It is connected to the representation and what the accuracy of described data and it is based on analysis of system Page  13
  • 14. Parameters impacting quality  Consistency: Information should follow certain standard regarding consistency and format in short the flow of information should be subject oriented and consistent • Age:- Age should be low or information age not as old as that it becomes an unuseful product in short information should be updated format. Page  14
  • 15. Classification of Information  According to Prof John Dearden of Harverd university information is classificied of following ways: - Action versus No Action information - Recurring Versus Non Recurring Information - Internal Versus External information - Planning Information - Control Information - Knowledge Page  15
  • 16. Classification of Information  Action Versus No-Action Information: Example of action information is Maintain a stock ledger and example of no action information is stock balances • Recurring versus non recurring information: The information generated at regular intervals is a recurring information for example monthly sales report. • Internal versus External information: The information which contain internal part of organization is internal for example schedule of employee The information which contain external part is called external information for example government records etc Page  16
  • 17. Classification of Information  Planning information:- Information which is useful for planning is called planning information the time standard, the operational standards etc • Control Information: The information reporting through a feedback mechanism is called the control information • Knowledge::- A collection of information through the library reports and the research studies build a knowledge base as a source for decision- making. Page  17
  • 18. Organization and Information External Low Top Mgmt Middle Mgmt Organization Mgmt Internal High Page  18
  • 19. Methods of Data and Information Collection  Observation  Experiment  Survey  Subjective Estimation  Transaction processing purchased from outside  Publications  Government Agencies Page  19
  • 20. Value of the Information  The information has a perceived value in terms of decision making  Value should be wiped out uncertainty in decision making  Value should be count using following formula  VPI= (V2-V1)-(C2-C1)  Where V is value of information and C is cost of obtaining information  V1 and C1 Is related with one set of information and V2 and C2 is related with new set of information , VPI is value per information  This formula is useful to count value of information which includes the cost factors so it provides the perfect idea to count information  It is useful tool for manager to make decision regarding use of this information Page  20
  • 21. General Model of Human as Information Processor  A Manager generally use eyes, ears to pick up information  Information should process using filtering method  The filtering process generally blocks the unwanted or inconsistent data or the data which does not match the frame of references  Filtering is one kind of error correction process which applies on information  Filtering is based on manager’s experience, Knowledge, Skills, Choice, Amount of urgency, Confidence in particular method of decision making etc  General model is as given belove Page  21
  • 22. General Model of Human as Information Processor Brain,Use of Stored Knowledge And Experience Mental Application Input Filtering Output Processing Selection Page  22
  • 23. Manager’s Individual Differences  The points which effects while collecting information regarding manager’s individual differences are - Internal and External situation of Firm - Personal dogmatism - Risk propensity - Tolerance for ambiguity - Manipulative Intelligence - Experience in Decision Making - Knowledge of Task, tool and Technology - The management level from lower to higher Page  23
  • 24. Summary Of information Concepts and their implications  Understanding of information concepts is very important and relevant to the system designer and information user the concepts are - Filtering - Simon Model and Applications - Codes and representation - Highlighting - Stastical Analysis - Format - Referencing and Adjustments - Cognitive style - Learning theory - Feedback Loop - Perceived Value of Data - Information Absorption Page  24 - Individual Differences
  • 25. Summary Of information Concepts  Filtering:- This process take place after information collection this is generally correction of errors in information • Simon model and its application:- The designer should attempt to provide that clearly defines the problem space and decision should provide solution of problem • Codes and representation:- The system designer should evolves such coding system that is easy for user and easy for manager to understand. Page  25
  • 26. Summary Of information Concepts  Highlighting:- The designer should provide information such a way that a significant differences between standard and performance, The budgets and actual are highlighted * Stastical analysis:- Information should be meaningful best way is provide in stastical format so decision can easily been concluded from them • Format:- Format of information should have completed and easy to understand by user and it should have consistent. • Referencing and adjustments:- Page  26 Designer should able to generate information with references to other system and adjust information according to others
  • 27. Summary Of information Concepts  Cognitive Style:- Each user have their own style to resolving information so styles of representing information should be easy to implement and useful to other users too. • Learning Theory:- The designer will able to ready to learn something new which is useful to maintain appropriate information and information has not overload with bunches of data and that thing is known by him • Feedback Loop:- While providing information designer will make a feedback loop where users will give their suggestions that can be useful to correction and Page  27 increase quality of system.
  • 28. Summary Of information Concepts  Perceived value of data:- Some data in information is not useful for that operation but according to its perceived value these are kept in information so this is perceived value which is useful for future. • Information Absorption:- Designer should provide only those information which user will grasp and able to understand • Individual Differences:- Information will always different according to different human being and it is highly effected on decision. Page  28
  • 29. Knowledge And Knowledge Management Systems  Knowledge is a set of information which provides capability to understand different situations , enables to anticipate implications and judge their effects, suggest ways or clues to handle situations  Knowledge is provide a complete platform to handle complex situation and it has capability to provide complete solution to decision maker.  Knowledge is best illustrated and applicable to resolve complex problem situations.  It has different from data and information  Data is raw material where information is process on data  Knowledge is analyzed information and generate some conclusive thing which is useful for future. Page  29
  • 30. Knowledge And Knowledge Management Systems  For Example: - Collect rainfall record on daily bases is data - This data is processed by year and month , it is an information - When this information is analyzed using analytical tools, it revels rainfall pattern. This pattern is knowledge - Generally knowledge is useful for future and improves skill, Performance of user. - It has three components - First is visualization of strategic option to handle complex situation - Second is anticipative and assessment of result - Third is provide a complete base for decision maker. Page  30
  • 31. Types of Knowledge  It has three types - First is explicit knowledge which can be codified or modeled for example software product and packaging - Second is tacit knowledge which can not be codified it is intangible knowledge for example performance review, Market value of org. - Third is intellectual knowledge which is could be tacit or explicit generally this type of knowledge can be count using first two knowledge - Intellectual knowledge is exact analyzed knowledge from information - For organization point of view to manage knowledge is the key resource because it is important with us it the business economy is turn into knowledge economy. Page  31
  • 32. Knowledge Management  It is the systematic and explicit management of knowledge related activities.  KM is comprehensive towards focusing on three perspectives of business operational, tactical and strategic  KM dispels some myths which must be mentioned for correction - KM initiatives and activities lead to more work. Instead improved knowledge and usage. - KM initiatives and activities is an additional function. Instead it is an extension to existing technology driven information management function. - People are often afraid to share their knowledge. Page  32
  • 33. Driving Forces behind KM  The emergence of KM is a result of many forces in today’s world KM is not an alternative or luxury, But it is a necessity due to demand of customer centric business initiatives  KM is steady and customer centric process.  It has 2 driving Forces  First is External forces which is focuses on outer world  Second is internal forces which is focuses on inner thing of organization Page  33
  • 34. Driving Forces behind KM  External Forces: Business organizations perform environments that they can not control and success depends on how they deal with these forces and still grow. The issues related with external forces are as under - Globalization of Business - Demanding Customers - Innovative Competitors - Resourceful Vendors Page  34
  • 35. Driving Forces behind KM  Internal forces: Like forces in external environments this impact with internal part of organization. To control negative impact of these forces knowledge initiatives are necessary the points which are effected with this are as given beloved - Bottlenecks in effectiveness - Technological capabilities - Understanding of human cognitive functions Page  35
  • 36. Key Aspects of KM  There are four key aspects of KM which are importance 1)Accelerating knowledge creation and application:- Knowledge is not static it is completely change according to situation so knowledge application is completely updated format and up to date. 2) Converting tacit knowledge into explicit knowledge:- KM converts tacit into explicit by implies methods and processed which is beneficial to their future usage. 3) Build Knowledge Assets:- Some of the knowledge is strategically important so need to protect it with various types of processes on them. 4) In summary KM involves knowledge generation through creation and acquisition threw integration , pooling, Storage and indentification. Page  36
  • 37. Business Intelligence  BI is a term that refers to the sum total of gathering and processing data, Building rich and relevant information and maintain it live and up to date.  BI is used for timely, Effective decisions and better plan for future.  BI is an outcome of turning a raw data into intelligent information by analyzing and re-arranging data according to relationship between data item and actual subject oriented analysis.  BI Is depended on following things - Technology and Software infrastructure - Databases, Data Warehouses. - Develops and maintains knowledge databases for all core functions and business. Page  37
  • 38. Data, Information and Knowledge, Business intelligence Product Database Function DB Material Database Knowledge Business Customer DW DW Business Vendor Intelligence Database DB Engineering External DB Information Page  Database 38
  • 39. MIS and Information and Knowledge  The main goal of MIS to provide information which has surprise value and reduces the uncertainty to help decision making process.  MIS should simultaneously build the knowledge base in the org by processing data obtained from different sources in different ways.  Effective communication model provide a special way to transfer data from source to destination with help of noise and distortion  The information is quality produce for org.  MIS provide specific attention to quality parameters  MIS will provide different kinds of information with help of this decision maker can take useful decisions..  Decision maker is human so there is chance of errors but MIS help them to reduced error and also guide them towards the right way. Page  39
  • 40. MIS and Information and Knowledge  The MIS design should be such that it meets need of total organization.  The information may be miscued if it falls if it falls into wrong hands, The mis design should have features of filtering, blocking, suppressions and delayed delivery.  Modern Mis not only should provide information but also support management by providing knowledge necessary at all levels for critical decisions.  KMS is now a part of MIS suite.  Knowledge is a result of putting different information sets together and analyzing them and viewing them in particular manner.  Data processing, Transaction processing, Application processing sytsems will give different information sets.  First will give and explicit knowledge. Further application of the explicit knowledge over a period to solve the problems creates a tacit Page  40 knowledge.