slide 1.1 bocij, chaffey, greasley, hickie, business information systems, 3 rd edition © pearson...

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Bocij, Chaffey, Greasley, Hickie, Business Information Systems, 3rd Edition © Pearson Education Limited 2006

Chapter 1

Basic concepts – understanding information

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Learning objectives• After this lecture, you should be able to:

– distinguish between data, information and knowledge;

– describe and evaluate information quality in terms of its characteristics;

– classify decisions by type and organisational level;– identify the information needed to support

decisions made at different organisational levels.

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Management issues• From a managerial perspective, this chapter

addresses the following areas:– the importance of managing information and

knowledge as a key organisational asset;– the transformation process from data to

information of high quality;– the process and constraints of decision making;– the different kinds of decisions that managers

make and how these affect the organisation.

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Where is the emphasis?Where should it be?

Information Technology

Information Technology

The stress should be on the ‘I’ rather than the ‘T’ in ‘IT’ (Davenport, 2000).

Peter Drucker stressed the importance of information to organisational competitiveness in 1993 when he wrote:

‘The industries that have moved into the center of the economy in the last forty years, have as their business, the production and distribution of knowledge and information rather than the production and distribution of things’.

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What is data?• Data are raw facts or observations that are

considered to have little or no value until they have been processed and transformed into information.

• Example definitions:(a) a series of non-random symbols, numbers, values or

words;(b) a series of facts obtained by observation or

research and recorded;(c) a collection of non-random facts;(d) the record of an event or fact.

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What is information?

• Information: Data that have been processed so that they are meaningful.

• Example definitions:(a) data that have been processed so that they

are meaningful;

(b) data that have been processed for a purpose;

(c) data that have been interpreted and understood by the recipient.

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Figure 1.1 Transforming data into information using a data process

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Information – summary• Information:• involves transforming data using a defined

process;• involves placing data in some form of meaningful

context;• is produced in response to an information need

and therefore serves a specific purpose;• helps reduce uncertainty, thereby improving

decision behaviour.

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Activity• What types of information processing are

involved when a national retailer summarises national sales formation nationally?

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Types of information processing• Classification: This involves placing data into categories, for

example, categorising an expense as either a fixed or a variable cost.

• Rearranging/sorting: This involves organising data so that items are grouped together or placed into a particular order. Employee data, for example, might be sorted according to last name or payroll number.

• Aggregating: This involves summarising data, for example, by calculating averages, totals or subtotals.

• Performing calculations: An example might be calculating an employee’s gross pay by multiplying the number of hours worked by the hourly rate of pay.

• Selection: This involves choosing or discarding items of data on the basis of a set of selection criteria. A sales organisation, for example, might create a list of potential customers by selecting those with incomes above a certain level.

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Activity 1.1 – data versus information• From the point of view of a student at university,

which of the following might be examples of information? Which might be examples of data?– (a) the date– (b) a bank statement– (c) the number 1355.76– (d) a National Insurance number– (e) a balance sheet– (f) a bus timetable– (g) a car registration plate

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Information value• Tangible value:

Value of info – Cost of gathering info

• Intangible value:Improvements in decision behaviour – Cost of gathering information

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Activity 1.2 Tangible and intangible information

• When information is used effectively, it can bring about many of the improvements listed below. State and explain why each of the items listed illustrates a tangible or intangible value of information.

• (a) improved inventory control;• (b) enhanced customer service;• (c) increased production;• (d) reduced administration costs;• (e) greater customer loyalty;• (f) enhanced public image.

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What is the importance of informal information?

• Formal communication: Formal communication involves presenting information in a structured and consistent manner.

• Informal communication: This describes less well-structured information that is transmitted by informal means, such as casual conversations between members of staff.

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Information quality dimensions

Time Content Form Additional characteristics

Timeliness Accuracy Clarity Confidence in source

Currency Relevance Detail Reliability

Frequency Completeness Order Appropriate

Time period Conciseness Presentation Received by correct person

Scope Media Sent by correct channels

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Figure 1.2 The business environment of an organisation and the main factors that influence it

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What is the relation between e-business and IT

• When a business has fully integrated information and communications technologies (ICTs) into its operations, potentially redesigning its business processes around ICT or completely reinventing its business model … e-business is understood to be the integration of all these activities with the internal processes of a business through ICT.

DTI Definition

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How does information support managers?

• Henri Fayol (1841–1925) devised a classic definition of management that is still widely used in both industry and academia.

• ‘To manage is to forecast and plan, to organise, to command, to coordinate and to control’

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Different decision types• Decision behaviour: Describes how people make

decisions and the factors that influence them.

• Structured decisions: Situations where the rules and constraints governing the decision are known.

• Unstructured decisions: Complex situations, where the rules governing the decision are complicated or unknown.

• Cognitive style: This describes the way in which a manager absorbs information and reaches decisions. A manager's cognitive style will fall between analytical and intuitive styles.

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Is your data hard or soft?• Hard data, also known as quantitative data, tend

to make use of figures, such as statistics. Hard data are often collected in order to measure or quantify an object or situation.

• Soft data, often known as qualitative data, tend to focus on describing the qualities or characteristics of an object or situation. Interviews, for example, are often used to collect qualitative data related to a person’s opinions or beliefs.

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Decisions and management level

Decision

Management Type of decision Time scale Impact on Frequency of

level organisation decisions

Strategic Unstructured Long Large Infrequent

Tactical Medium Medium

Operational Structured Short Small Frequent

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Figure 1.3 Levels of managerial decision taking

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Information characteristics by management level

Information

Management Time period Frequency Source Certainty Scope Detail

level

Strategic Wide Infrequent External Less certain Wide Summarised

Tactical

Operational Narrow Frequent Internal More certain Narrow Detailed

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Stage Activities

Intelligence Awareness that a problem exists

Awareness that a decision must be made

Design Identify all possible solutions

Examine possible solutions

Examine implications of all possible solutions

Choice Select best solution

Implementation Implement solution

Evaluation Evaluate effectiveness or success of decision

A model of decision making

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Business rules• Business rule: A rule that defines the actions

that need to occur in a business when a particular situation arises.

• For example, a business rule may state that if a customer requests credit and they have a history of defaulting on payments, then credit will not be issued.

• A business rule is broken down into an event that triggers a rule with test conditions that result in defined actions.

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Figure 1.4 Decision tree notation for checking credit

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Figure 1.5 Framework for a decision table

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Figure 1.6 Decision table for the credit checking example

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Knowledge management• The European Guide to Best Practice in Knowledge

Management defines knowledge as:

• ‘The combination of data and information to which is added expert opinion, skills and experience to result in a valuable asset which can be used to make decisions. It is the essential factor in adding meaning to information. Knowledge may be explicit and/or tacit, individual and/or collective’

Mekhilef et al., 2003

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Competitive intelligence• The Competitive Intelligence handbook

(www.combsinc.com) presents different definitions of CI, for example:

• The objective of competitor intelligence is not to steal a competitor’s trade secrets or other proprietary property, but rather to gather in a systematic, overt (i.e., legal) manner a wide range of information that when collated and analysed provides a fuller understanding of a competitor firm’s structure, culture, behaviour, capabilities and weaknesses.

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Activity 1.8 Competitive intelligence and customer knowledge

• The marketing department of a construction company is planning the creation of a competitive intelligence system. Its aim is to capture and disseminate information about 30 key competitors and also existing or potential customers served by account representatives.

• You are designing the system. Working in groups, agree on an approach for:

1. Capturing data (who is involved, what information they need to collect).2. Entering data (who is responsible for this, how they evaluate and categorise

the different types of information entered).3. Output requirements. Using the framework for quality of information in Table

1.1, what are the requirements in terms of types of content, frequency, who can access the data and filtering according to different criteria?

4. What types of hardware and software may be required for the system (reference to later chapters may be needed to answer this)?

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