Web Intelligence

7/21/2019 Web Intelligence

http://slidepdf.com/reader/full/web-intelligence-56dc046bed1d0 1/31

Imtiaz Uddoulla (0042MSOT0809)MSC IT Sem-2

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System Integration-2MSc Information Technology

Semester -2

AssignmentWeb Intelligence

Submi tted to: M r .Salah.SalehSubmi tted by:

MD Imtiaz Uddoulla (0042MSOT0809)

Date:22 nd Feb,2010




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Topics Page No

Abstract Page-8

Introduction Page-8

What is Web Intelligence? Page-8

Topics Covered by WI Page-8

WIS Environment and Foundations Page-9

Web Human-Media Engineering Page-9

Web Information Management Page-9

Web Information Retrieval Page-10

Web Agents Page-10

Web Mining and Farming Page-11

. Web-Based Applications Page-11

Business Intelligence Page-12

Feasibility Study of BI Page-13

Why mid size business need business intelligence: Page-13

General use of BI in mid size organization Page-13

Benefits of using BI Page-14

Lowering cost Page-14

Efficiency of the operation level can improve Page-14

Reduce human resource Page-14

Better interrelationship with customer Page-15

Suppliers and partners Page-15

BI can go to the root and take action Page-15

Wasted and Inventory Report Page-15




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Increase revenue Page-15

Better strategies and better marketing policies Page-15

Can Push your Sell Force Page-16

Improve Customer Satisfaction Page-16

Example:

Lambeth Primary Care Trust (PCT) Page-16

Improving Patient Services Page-16

Benefits of the data warehouse include Page-17

Statutory reporting Page-17

Operational reporting Page-17

Service Management Page-17

AF Blakemore Page-17

Customer loyalty Page-18

Faster Reporting. Page-18

Performance culture Page-18

Requirements elicitation and analysis of BI Page19

Interviewing Page-19

Essential Element of BI Page-19

Business goal Page-19

Decision Maker Page-19

Format of question Page-19

Reporting category Page-20

Assumption Page-20

Standard business process Page-20

Logistics control Page-20

. Operational control Page-21

Distribution Page-21




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Financial factors Page-21

Focus on CRM Page-21

Other services Page-21

Data source criteria Page-21

Measure Page-22

Constrains Page-22

Constraints on BI Page-22

Common BI mistakes Page-22

Technology Constraints Page-22

Business Constraints Page-22

Project Management Constraints Page-22

System Model Page-23

Contaxt Diagram Page-23

BI application pattern Page-23

Requirements specification Page-23

User requirements Page-23

Enterprise reporting Page-23

Easy advance analysis Page-24

Visualization Page-24 Distribution Page-24

Data warehouse Page-24

Can perform with other application Page-24

Multi operating system support Page-24

Ease of use Page-24

Accessibility Page-24




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Functional Requirements Page-24

Data Inquiry Page-24

Ad hoc quire Page-24

Derived column Page-25

Predefine inquires Page-25

Schedule data execution Page-25

Share data from external source Page-25

Import and export data Page-25

Retrieve small amount of data Page-25

Retrieve large amount of data Page-25

Provide summary information Page-25

Provide detail information Page-25

Data Manipulation Page-25

Workgroup Databases Page-25

Custom Form Page-25

Spreadsheet View Page-25

Interactive Updates Page-25

Batch Updates Page-25

Data Analysis Page-25

Forecasting data Page-25

Budgeting Page-25

Time Series Analysis Page-26

Statistical Functions Page-26

Financial Functions Page-26

Reporting. Page-26

Aggregation Page-26

Computed Columns Page-26

Complex Calculations Page-26




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Drill Up and Drill Down and Drill Throw Page-26

Text and Graphics Page-26

Database Publishing Page-26

Non-functional requirements Page-26

Security and Access Page-26

Privacy Page-26

Physical Page-26

Access Page-26

Logging Page-26

Availability Page-27

Hours of operation Page-27

Capacity Page-27

Data Currency Page-27

Data Retention Page-27

Digester recovery Page-27

To recovery management we have to consider few areas Page-27

System criticality Page-27

System recoverability Page-27

Disaster simulation Page-27

Fail over Server Page-27

Error Handling Page-28

Regulations and compliance Page-28

Data Quality Page-28

Workshop Page-28




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Domain Requirements Page-28

Software Requirements Page-28

Operating system Page-28

Web Server Page-28

Application Page-28

Web Browser Page-28

User Guide Page-29

List of references Page-31




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Abstract: Web intelligence is a new research field. Here mainly we integrate artificialintelligence in web media. WI concept is very popular now in all sector of thesociety. Now people want AI in every level which is very easy to get in throwweb because web is a very fast growing communication system like othermedia e.g. radio, television telecommunication etc.

Introduction:

As we said web is a very fast growing and popular media. It’s now using inevery simple problem of real life. If we see around us almost all people all thetime some how interact with web. And every time they use advantages ofweb.

Y.Y.Yao et al, (1999) in one of his research discuss about the using of WIareas which is:

‘The Web has significant impacts on both academic research and ordinarydaily life. It revolutionizes the way in which information is gathered, stored,processed, presented, shared, and used. The Web offers new opportunitiesand challenges for many areas, such as business, commerce, marketing,finance, publishing, education, research and development.’ (Y.Y.Yao et al1999:p.1)

What is Web Intelligence?

WI is nothing but a great combination of AI and Web. Which is AI performingit’s task throw web and it s more easy way to reach to end user . Normally AIis a complex system but when it is work with web then its easier manipulate.

Y.Y.Yao et al, (1999) said about what is web intelligence? Which is?:

‘At this very early stage, we are not sure if a formal definition of WebIntelligence is useful or desirable. Nevertheless, we suggest the followingdefinition: “Web Intell igence (WI) exploits Artificial Intelligence (AI) andadvanced Information Technology (IT) on the Web and Internet.”

This definition has the following implications. The basis of WI is AI and IT.The “I” happens to be shared by both “AI” and “IT”, although with differentmeanings in them, and “W” defines the platform on which WI research is

carried out. The goal of WI is the joint goals of AI and IT on the new platformof the Web. That is, WI applies AI and IT for the design and implementationof Intelligent Web Information Systems (IWIS). An IWIS should be able toperform computer science by coining the term Web Intelligence, into whichWeb related research can be fitted.’ (Y.Y.Yao et al 1999:p.2)

Topics Covered by WI:

If we think little bit and consider our daily life then simply we can feel thatWe using in all section of our daily life. We can’t even think without web now. So it’s difficult to summarize the topic covered by WI.




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Y.Y.Yao et al, (1999) make segment of topics cover by WI. So now it is veryeasy to understand normally which area WI using mostly. Those topics are:

‘W eb Information System Environment and Foundations:

• Competitive dynamics of Web sites,• Emerging Web technology,

• Network community formation and support,

• New Web information description and query languages,

• The semantic Web,

• Theories of small world Web,

• Web information system development tools,

• Web protocols.

Web Human-Media Engineering:

• The art of Web page design,

• Multimedia information representation,

• Multimedia information processing,

• Visualization of Web information,

• Web-based human computer interface.

Web Information Management:

• Data quality management,

• Information transformation,

• Internet and Web-based data management,

• Multi-dimensional Web databases,

• OLAP (on-line analytical processing),

• Multimedia information management,

• New data models for the Web,

• object oriented Web information management,




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• personalized information management,

• Semi-structured data management,

• Use and management of metadata,

• Web knowledge management,

• Web page automatic generation and updating,

• Web security, integrity, privacy and trust.

Web Information Retrieval:

• Approximate retrieval,

• Conceptual information extraction,

• Image retrieval,

• Multi-linguistic information retrieval,

• Multimedia retrieval,

• New retrieval models,

• Ontology-based information retrieval,

• Automatic Web content cataloguing and indexing.

Web Agents:

• Dynamics of information sources,

• e-mail filtering,

• e-mail semi-automatic reply,

• Global information collecting,

• Information filtering,

• Navigation guides,

• Recommender systems,

• Remembrance agents,

• Reputation mechanisms,

• Resource intermediary and coordination mechanisms,




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• Web-based cooperative problem solving.

Web Mining and Farming:

• Data mining and knowledge discovery,

• Hypertext analysis and transformation,

• learning user profiles,

• Multimedia data mining,

• Regularities in Web surfing and Internet congestion,

• Text mining,

• Web-based ontology engineering,

• Web-based reverse engineering,

• Web farming,

• Web-log mining,

• Web warehousing.

Web-Based Applications:

• Business intelligence,

• Computational societies and markets,

• Conversational systems,

• Customer relationship management (CRM),

• Direct marketing,

• Electronic commerce and electronic business,

• Electronic library,

• Information markets,

• Price dynamics and pricing algorithms,

• measuring and analyzing Web merchandising,

• Web-based decision support systems,

• Web-based distributed information systems,






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Feasibility Study of BI:

Why mid size business need business intelligence:

BI helps to make business user life easy to make decision in any sector like

strategic or further steps very easy and faster way. BI provide better analysisfrom previous or historical data from the market or from the own organization.It’s also provides statistical and research report with reliable decision.

To using BI Company can faster then any time, less effort, can generatevarious report from 360 degree angel and can make perfect decision on time.

Michael. A. Schiff (2009) in SAP White Paper – Business Intelligence: Make aGuide for Midsize Companies:

‘Business intelligence allows organizations to better understand, analyze, and

even predict what’s occurring in the overal l environment and in their company.BI helps your organization turn data into useful and meaningful informationand then distributes this information to those who need it, when they need it,wherever they need it – so that they can make timely and better informeddecisions. It allows organizations to combine data from a wide variety ofsources and see an integrated, up-to-date, 360-degree view.

This is especially important for midsize companies, which while not having thevast resources of industry giants is typically able to more quickly implementbusiness decisions. BI provides a win-win solution for IT and business usersby allowing the IT department to be more productive in working with itsbusiness users to service special requests while permitting those businessusers to become more self sufficient. Operations and analysis are two sides ofthe business, and BI allows IT to be a valued partner in both. ’ (Michael. A.Schiff 2009:p.6)

General use of BI in mid size organization:

Maintain inventory management and re-order level.

Find out the best selling product and keep maintain the distributionsystem

Find out which level of the customer stop purchasing product andpromote something new to get them back.

Using Dashboard and Scorecard then business user can understandthrow it what is the next steps and present performance.

Can fix a performance metrics and take proper action in right timebefore the threat touch the danger line.




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Identify the performance department wise and compare between themthen point out the moral problems.

Can retrieve the sale data from whole year in different format like halfyearly, quarterly, monthly etc.

Can make pre-production plan. From the needs for the market thenraw material, factory and machine management to shipment.

Maintain supply chain management

Top management can perform their ad hoc analyses.

Benefits of using BI:

Still what ever we discuss we can see BI always beneficial to the user. So ifwe want to specify them we need to make a segment of benefits that tounderstand and discuss to the point. In my point of view BI help to reducecost in all section to a long run, make more profitable then any other timegenerally, customer satisfaction, increase entire performance.

Mark Ritacco and Astridn carver (2010) they discuss about the business valueof BI and summarized the benefits using BI which are:

‘Because of the wide applicability of BI in both enterprise and extranet

deployments, the business benefits are numerous. These benefits can begrouped into three main categories: lowering costs, increasing revenue, andimproving customer satisfaction. And this list is far from exhaustive, sinceempowered users continue to find new ways to implement BI. ’ (Mark Ritaccoand Astridn carver 2010:p.9)

I am also agree with them and we can also go bit details of that like iflowering cost how and where:

Lowering cost

Efficiency of the operation level can improve:

If we allow customer to access real time data throw web and customer canask their own question and answer as a result customer also happy andreduce support cost also we can make a historical data warehouse withoutant cost. A simple example is ask.com and yahoo asks .

Reduce human resource:

Throw BI management can make their own quires and report so it’s normally

reducing human resource and company cost or also we can relocated thehuman resource which is a benefit of the organization.




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Better interrelationship with customer, suppliers and partners:

By using BI all the time we can keep and touch with customer, suppliers andpartners without any concern. Like automatic e-mail in specific circumstance,ordering products, damage percentage, shipment time etc.

BI can go to the root and take action:

This we using in reporting section. BI can go till to the end point and can findout the fundamental problems. Which if we want to do manually it ll takeslong time, more effort needs, high risk and less reliable. If we see one figurefrom Mark Ritacco and Astridn carver (2010)’s report we can get a rough ideaabout that

‘

,

(Mark Ritacco and Astridn carver 2010:p.10)

Wasted and Inventory Report:

We can use costing method for find out the hidden cost, wasted percentageand cost, high margin product which have to push more. From this we can

reduce some extra cost and make some more profit. Increase revenue

Better strategies and better marketing policies:

BI can analyze better strategies and appropriate marketing policies onproduct, time and customer which normally help increase revenue.




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Can Push your Sell Force:

BI can tell the target of sell last year and achieve what also can summarize ifany constrain would be solution. In this way we can enforce our sell .

Improve Customer SatisfactionTo using BI fetcher customers are satisfied in both ways. Customer canoperate their own data to make quires and report like their won question andanswer to help make better decision. Assumption is a major fact here; BI canprovide almost actual assumption and minimize risk in all level.

And all these facts increase entire performance of business and operations.

Many UK organization using BI now we will discuss about couple of them ofthem how they benefited from BI. Here we have tow organization reportpublish by Business Objectives if we go throw it can get a small clear practicalidea of using BI.

Business Objective (2007) publishes one report about their customer andpartner that how Lambeth Primary Care Trust (PCT) get benefit from using BI:

‘Based in south London, Lambeth Primary Care Trust (PCT) delivershealth care services to 345,000 people registered with local doctors in theborough. The trust employs around 1,000 people and will spend over £500million on services in 2007/2008. These services are provided by communityteams delivering a range of nursing and therapy services; primary carecontractors, including dentists, optometrists and pharmacists; and hospitaland mental health services from the two main local hospitals: Guy’s and StThomas’ and King’s, as well as the South London and Maudsely NHSFoundation Trust.

Having made a pledge to senior management that RiO reporting would beavailable by the beginning of 2008, Lambeth PCT suffered a serious set back

and had to re- evaluate the marketplace. “Strong recommendations and theexpected adoption of Business Objects technology for the NHS Londonmanagement information system, convinced the Trust to implement BusinessObjects Edge™ and Crystal Reports,” Barker confirms.

RESULTS

Improving Patient Services

Daily use of RiO by all Community Health services, around 900 users, isbuilding up an in depth data warehouse holding a range of information from

clinical to immunisation data, elderly patient information, assessment formsand the number of missed appointments. This consolidated data source is




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providing an unprecedented opportunity to streamline statutory reports, meetescalating demands for ad hoc reports and deliver new insight to CommunityService managers about the quality, efficiency and relevance of servicedelivery.

Benefits of the data warehouse include:

Statutory reporting: Lambeth PCT has to provide weekly, monthly,quarterly and annual reports to both the Department of Heath and NHSLondon covering a range of key targets, including the number of childrenvaccinated each month, trends in immunisation and number of referrals toeach clinic. Using Crystal Reports, the Trust can now replace time consuming,manual data manipulation and consolidation from multiple systems intoautomated, scheduled report production. Using Business Objects, the analystteam can also now respond rapidly to regular requests for ad hoc reports,such as current performance against a specific NHS target.

Operational reporting: Lambeth PCT can now automate its KeyPerformance Indicator reporting, including waiting times and number ofpatients seen at each clinic.

Service Management: For the first time service managers for eachCommunity Service have in depth reports providing information on patientnumbers, missed appointments, and trends in referral. This will supportstrategic planning for the number of clinics required as well as providing anopportunity to target those patients persistently missing appointments.

‘( Business Objective 2007:p1-4)

Business Objective (2007) publishes one report about their customer andpartner that how AF Blakemore get benefit from using BI:

‘Privately owned AF Blakemore is one of the country’s leading independentfood retail and distribution companies. With 206 SPAR stores , Tates is thelargest independent convenience store operator in the UK. In addition,Blakemore supplies other SPAR stores across the central region of the UK, as

well as a large number of independent retailers. Other parts of the businessinclude cash & carry, food services to a number of organizations includinglocal authorities, Social Services and schools, and a new local produce fooddistribution service.

For the past 12 years, Blakemore has used Business Objects businessintelligence tools to deliver company wide reporting. For the Tates stores thisincludes basket level analysis across every store on a daily basis.




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RESULTS

Platform for innovation

Blakemore attained an immediate return on investment from the migration to

Business Objects XI by eliminating the license and maintenance costs of theredundant third party applications. In addition, the company is gainingsignificant commercial benefit from a number of new developments, includingthe introduction of a loyalty campaign for its 400 independent retailercustomers.

“Business Objects XI allows Blakemore to be far more creative in the wayinformation is presented and distributed both across the company and tocustomers,” says Jones. “Critically, information is rapidly available to usersboth at home and at remote offices, ensuring consistent quality and

timeliness of business intelligence.”

• Customer loyalty : Using the speed of information retrieval and analysisprovided by Business Objects XI, Blakemore is offering its 400 independentretail customers a new loyalty scheme. “Detailed basket level analysisenables Blakemore to offer each store a tailored incentive to buy moreproducts. The discount both encourages customer loyalty and booststurnover,” Jones says.

• Faster reporting : Leveraging the web based technology has enabled

Blakemore to transform the speed of standard reporting; key financial reportsthat previously took one hour to run are now available within three minutes.This speed is encouraging users to undertake far more ‘what if?’ analysis toassess the implications of purchasing decisions, discounts or promotions onsales and revenue. “Timely infor mation is key, enabling Blakemore to respondfaster to business opportunities,” he says.

• Performance culture : Business Objects XI also provides the platform forthe introduction of dashboards to reflect Blakemore’s key performanceindicators (KPI). “The retail marketing is challenging and the company

recognises that constant monitoring of performance across the group will bekey to attaining long term growth and success,” Jones concludes.’

(Business Objective 2007:p.1-2)




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Requirements elicitation and analysis of BI:

Interviewing:

To elicitation and analysis of any requirements interviewing is the noble policy.

We can take interview of different stakeholders to simplify and gather therequirements of the business user for BI.

In this way we can point out some essential BI requirements like businessgoal, who can make decision, format of question, reporting category,assumption format, standard business process, data source criteria, measure,constrains if any etc.

Now we can discuss little bit deep of those requirements

Business goal

BI business goal should be increase performance in all area of business. Likeperfect analysis of data, making report due to user need, take better decision,faster quire, reduce cost and make easy to solve problem etc.

Watermark learning (2010) also summarized the business goals of BI whichare:

‘Increase project success by better defining requirements for BusinessIntelligence (BI) applications that meet business needs

Reduce rework by discovering BI requirements correctly the first timeAnticipate client needs by learning the right questions to ask for BI projects

Help business clients articulate their needs and wants for BusinessIntelligence (BI) applications

Use dimensional modelling to help elicit BI requirements and to analyze anddocument them

Define business problems and objectives that a BI solution will help address

Communicate BI requirements seamlessly to designers of interfaces, datastructures, and applications ‘(Watermark learning, 2010)

Decision Maker:

Good decision leads the company in a good position so the roles of peoplesshould be significant those who interact with decision making level.

Format of question:

Decision is answer level so BI make report from the question what was ask

then give decision in this case format of question should be in a standardlevel that can maintain the best performance.




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Reporting category:

Reporting should be in different category in basis of customer need. So wehave to maintain the system that customer can get same report in differentway.

Assumption:

This is very important area of BI. Because, if the assumption is not correctthen company may miss lead or loss can occur. So we have to handle it verycarefully and consider external and internal liabilities and if re investmentneed then how to solve the problem.

Huw Richards says four principles about Strategic Assumptions Surfacing andTesting (SAST) from here we can get some more idea of handle assumptionwhich are:

‘ Adversarial - based on the premise that the best way to test an assumptionis to oppose it.

Participative - based on the premise that the knowledge and resourcesnecessary to solve and implement the solution to a complex problem isdistributed among a group of individuals.

Integrative - based on the premise that a unified set of assumptions andaction plan are needed to guide decision making, and that what comes out of

the adversarial and participative elements can be unified.

Managerial mind supporting - based on the premise that exposure toassumption deepens the manager's insight into an organisation and its policy,planning, and strategic problems. ‘( Huw Richards 2010)

Standard business process:

BI play role in whole business process so if we want uses BI n get optimalperformance so we need to maintain a standard business process like

Logistics control: Order raw material in a certain time

Maintain a fix re-order level based on the production

Maintain supplier ranking

Customer supports like changing or modifying order same as suppliers.




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Operational control:

Human resource administration

Factory management like production operation

Quality maintain

Work load management

Other support

Distribution:

Supply chain management due to quality, demand and supply

Despatch management

Financial factors:

Pricing management

Payment management

External and internal cash flow management

Focus on CRM:

Fix the credit level of customer and supplier

Fix the credit level based on order for both customer and supplier

Other services:

Re-use the materials and fix the life line

Distribution product based on sale performance

Changing payroll and personal management

Data source criteria:

Organization better have own data source then BI can perform with core data

which is good for better decision making.




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Measure:

We have to also measure the BI system that we using how it lead to theorganization. If BI make a sell target and give to solution to achieve thetarget we have to calculate or make a correlation between them to see it’s

effective or not. Same way we have to check the actual uses of BI applicationover the organization.

Constrains:

In real life nothing is fault less and also it impossible to achieve 100 percentgoal in practices in operation. To run the BI application organization may facesome common constrain like operational, technical, internal, external etc. wehave always deal with those constrains to overcome and run in a smooth way.

Watermark learning (2010) summarized BI constrain in detail which are:

‘Constraints on BI

Common BI mistakes

Technology Constraints

1. Data source, performance, technology adoption

2. Data quality issues

3. Transformation challenges (e.g., ETL)

4. Architectural maturity and coordination

Business Constraints

1. Historical data needs

2. Data currency needs

3. Summarization needs

4.

Requirements volatility5. Data sharing culture

6. Regulatory and compliance issues

Project Management Constraints

1. Budget and resources

2. Change management

3.

Expectations management




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4. Gaining/maintaining executive support ‘ ( Watermark learning2010)

System Model:

Contaxt Diagram:

BI

Web Server

File Server

SecuritySystem

Maintainsystem

Reportingdatabase

MultiDimensional

analyticalData Access

ContentFrame Work

BI application pattern:

Physical data source

OLAP Support

ARRAY or cube concept

Drill drop, Drill down, Drill throw facilities

Requirements specification

User requirements:

Enterprise reporting

It’s mainly cover the all area of business. Managers may be want to seemonthly, quarterly half yearly report about the sell, target, achieve target,inventory status, commission on sale, distribution etc. they may want tobrowse it via web or mail it to different network.




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Easy advance analysis

Advance analysis process should be very easy and customer friendly thenany body can use from different level. Also it should be support in differentview of analysis.

Visualization

Application should perform many types of visualization techniques.

Distribution:

Some time organization need to publish their report to the web and also needto e-mail and some distribution fetcher.

Data warehouse

It’s a good parities to have a data warehouse it can help a lot theorganization in future.

Can perform with other application

It’s common demand that user can import and export data from different fileformat like MS office.

Multi operating system support

It’s also a basic need of good application then customer can use in any OS

environment.

Ease of use

It will increase the user and make product competitive in market and alsocustomer’s basic requirement.

Accessibility

Support remote access tools

Internal operation like e-mail and publish report in internal portal

External operation like e-mail via internet

External access, that customer and supplier can check their needs.

Functional Requirements

Data Inquiry:

Ad hoc quire- simple inquire that retrieve and present data in asking format .




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Derived column- derived data but not stored.

Predefine inquires- it’s for fail management or retrieve same report ondifferent time.

Schedule data execution- automatic executed the quires in predefineschedule.

Share data from external source - some time customer need to shareother data source so application need to support different files or database.

Import and export data - application have ability to import and export datafrom different file format.

Retrieve small amount of data - application have to retrieve small amountof data that customer need.

Retrieve large amount of data - application have to retrieve large amountof data that customer need.

Provide summary information - application must able to provide thesummary information.

Provide detail information - application must able to provide the detailinformation.

Data Manipulation:

Workgroup Databases- workgroup database help to make faster quire.

Custom Form - user can use their customize form format.

Spreadsheet View- this is a basics requirement because normally if weretrieve product unit price and revenue we like to see it in a spreadsheet view.

Interactive Updates- we need it for real time data manipulation.

Batch Updates: it also a common techniques of data manipulation but notevery time we need it.

Data Analysis:

Forecasting data- data forecasting is an important part of BI.

Budgeting- application should have some budgeting method to make goodbudgeting.




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Time Series Analysis- The ability to perform different time analysis basedon customer need.

Statistical Functions- here customer some time want to make somestatistical report so application need some common statistical function.

Financial Functions: here customer some time wants to make somefinancial report so application needs some common financial function.

Reporting- definitely we need different types of report to present our data.

Aggregation- Sometime we need to aggregate data so need some aggregatefunction like SUM, AVG etc.

Computed Columns - It’s a data which derived from the quire and put in acolumn.

Complex Calculations- Must have ability to perform complex calculation likecertain amount of percentage and total, rolling sum etc.

Drill Up and Drill Down and Drill Throw: it’s a important function of BIapplication that can perform from dashboard.

Text and Graphics- report should support both test and graph together.

Database Publishing- Must has ability to publish their data from thedatabase like raw material details or product details.

Non-functional requirements

Security and Access:

This is the most important non functional requirement. We can segment it indifferent level like

Privacy – sometime organization need to protect their customer data so theyneed to database privacy and data privacy it may legislative or maycorporative.

Physical – these are the physical protection of the system like special floorfro server cooling, fire protection and other physical threat.

Access – Access control also a important part of security. We can define usergroup wise, location wise, level wise and can make different access parameter.For that we can use Active Directory, LDAP (Lightweight Directory AccessProtocol), NTML (NT LAN Manager it’s a authentication protocol) etc.

Logging – We have to maintain one log for security reason and we can tracethe access history.




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Availability:

It’s measure that the system is in reliable stage when it’s in operation.

Hours of operation – Now all the system need to operate in 24/7.

Capacity- it’s a very important characteristic of the system. Systemreliability mainly depends on capacity. So we have to consider that how manycon current login may need for the organization. What volume of data to behandles per sec or per transaction? And how frequently the customer canretrieves data.

Data Currency- data currency refer that the data is up to date or not. So wehave to consider data processing method here depend on the organization. Ifit’s for a trader then system need real time data processing batch processingis not allowed. If the application use in web internationally then may needdifferent language support. We can give a example that e-bay it is supportdifferent currency. When customers ask for the price of the product then itsshows local currency that customer logged in.

Data Retention:

Data retention refers the storage life. But it depends on the different datadomains (e.g., transactional, consumer, product, complaints, etc...) like forexample, products and transactions data may be stored for life, however,consumer records maybe be purify after 4 years. It does also depend onregion and organization.

Digester recovery:

It’ s another expensive part of system. It considers for every application butfor BI it’s very important part.

To recovery management we have to consider few areas:

System criticality – it’s refer how important the system in your organization.If BI, definitely it’s an important system to the organization and it’s performreal time data.

System recoverability – how quick we can recover the system either full orpartial should be noted and also available budget.

Disaster simulation – We need to arrange work shop on disaster simulationand make practise with that then many silly things come out. Like servers notworking because Ethernet port is not connected.

Fail over Server: need one fail over server it’s work as a standby server.




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Error Handling:

It is a very important part of the system because say if you are working onfinancial system then one mistake can make big impact one the decision. Sowhen we handle error we should vary careful .

Regulations and compliance:

It’s for standardize your busi ness delivery. BI needs it for make proper BIenvironment.

Data Quality:

Poor quality of data leads poor quality of reports. So in BI practise we have to

concern about the data quality. For generate high quality report, we considerthe following dimensions for data quality:

• Completeness

• Consistency

• Confidence

Workshop:

We have arranged some workshop for end user and all employs those who

using BI application for develop their skills.

Domain Requirements

Advance analysis perform

control panel and visualization techniques

Information communications pattern

Enquiry, Reporting and Analysis of Data

Advance Search and mapping

Software Requirements:

Operating system – based on your application provider like if you using IBMCognos then we can use MS-windows.

Web Server- Microsoft IIS

Application- MS-Excel 2002 or later

Web Browser - IE or suitable




29

User Guide

Login page (o.s.khan, 2010)

Main page (o.s.khan, 2010)




30

Folder option (o.s.khan, 2010)

Dashboard (o.s.khan, 2010)



List of references:

BusinessObjects XI. (2005) Building Reports Using the Web Intelligence JavaReport Panel: Web Intelligence User Guide. 2005, (Release 2), pp.14. [online]Available from: http://www.pdf-search-engine.com/webintelligence-user's-

guide-html-help.sap.com/businessobject/product_guides/boexir2/en/xir2_wi_jrp_en.html[Accessed 16 February 2010]

BusinessObjects XI. (2007) LAMBETH PCT TRANSFORMS COMMUNITY CAREREPORTING WITH BUSINESS OBJECTS: Case Study. 2007, pp.1-4. [online]Available from: http://maven-solutions.co.uk/documents/case/LambethPCTCaseStudy.pdf [Accessed 16February 2010]

BusinessObjects XI. (2007) SPAR SHOPS WITH BUSINESS OBJECTS: C aseStudy. 2007, pp.1-2. [online] Available from:http://www.uk.businessobjects.com/jump/328/docs/AFBlakemoreapproved.pdf [Accessed 16 February 2010]

Huw Richards. (2010) Strategic Assumptions Surfacing and Testing . [online]Available from: http://www.ifm.eng.cam.ac.uk/dstools/choosing/sast.html[Accessed 16 February 2010]

Mark Ritacco and Astridn carver. (2010) The Business Value of Business

Intelligence: Business Objects. 2010, pp.9-18. [Online] Available from:http://www.lifeboatdistribution.com/content/images/Promotions/SAP_BusinessObjects/SAP_Business_Value_Whitepaper.pdf [Accessed 16 February 2010]

Michael A. Schiff. (2010) Business Intelligence: A Guide for MidsizeCompanies: SAP White Paper. 2010,pp.6-9. [Online] Available from:http://www.pdf-search-engine.com/webintelligence-user's-guide-html-help.sap.com/businessobject/product_guides/boexir2/en/xir2_wi_jrp_en.html[Accessed 16 February 2010]

O.S.Khan (2010) RE: Congnos user snap shot . Personal E-mail to: MR IUddoulla, 19 Feb. 10

Watermark learning. (2010) Business Intelligence Requirements Analysis .2010. [online] Available from:http://www.watermarklearning.com/courseDetail_BusIntell_qb.php?course_id=101 [Accessed 16 February 2010]

Y.Y.Yao et al,. (1999) Web Intelligence (WI) [Online] Available from:

http://www.pdf-search-engine.com/web-intelligence-(wi)-html-www cs uregina ca/~yyao/PAPERS/wi 01 html [Accessed 16 February 2010]

Documents

Web Intelligence