Lecture 36
- 2. 2 Two parts
- 5. 5 Part-II(a): Identify OrganizationPart-II(a): Identify Organization
- 6. 6 Large and Typical Early AdoptersLarge and Typical Early Adopters
- 7. 7 Example DWH Target OrganizationsExample DWH Target Organizations
- 8. 8 Part-II(b): Life-Cycle Study…Part-II(b): Life-Cycle Study…
- 9. 9 Part-II(b): Life-Cycle Study…Part-II(b): Life-Cycle Study…
- 10. 10 What if you areWhat if you are notnot entertained?entertained?
- 11. 11 What if you areWhat if you are nevernever entertained?entertained?
- 12. 12 Contents of Project ReportsContents of Project Reports
- 13. 13 Format of Project Reports: MainFormat of Project Reports: Main
- 14. 14 Format of Project Reports: OtherFormat of Project Reports: Other
- 15. 15 Why would companies entertain you?Why would companies entertain you?
- 16. 16 Innovators Laggards Early Adopters Early Majority Late Majority 2.5% 13.5% 34% 34% 16% Why you may be entertained?Why you may be entertained? Adoption/Innovation CurveAdoption/Innovation Curve
- 19. 19 Adoption/Innovation & DWHAdoption/Innovation & DWH Early AdopterEarly Adopter Early MajorityEarly Majority Late MajorityLate Majority Now have TB data. Improve performance with large number of users. 24x7 Availability. Built Data Mart instead of DWH How to develop a DWH? How to make Meta Data repository? Want to buy solutions instead of technology? The more packaged, the better. Selecting and retrofitting with business processes.
Editor's Notes
- #2: <number>
- #3: <number> Develop an application for an organization of your choice. This may be a problem from your place of employment or internship, if possible. The ideal and desired project is expected to be carried out using a fourth-generation language (4GL) or a high level language as a decision support software tool or part of it. This project will consist of a case study and implementation that is conducted for a business situation of your choice. Along with the source-code a project report is to be submitted. The project report to include, but is not limited to, the following as documentation: Narrative description of business and tables of appropriate data. Descriptions of decisions to be supported by information produced by system. Summary narrative of results produced. Structure charts, dataflow diagrams and/or other diagrams to document the structure of the system. Listings of computer models/programs utilized. Reports displaying results. Recommended decision from results. User instructions. You MUST collect the necessary data and should have a first draft of the project description approved by the instructor BEFORE initiating on detailed work.
- #4: <number> Develop an application for an organization of your choice. This may be a problem from your place of employment or internship, if possible. The ideal and desired project is expected to be carried out using a fourth-generation language (4GL) or a high level language as a decision support software tool or part of it. This project will consist of a case study and implementation that is conducted for a business situation of your choice. Along with the source-code a project report is to be submitted. The project report to include, but is not limited to, the following as documentation: Narrative description of business and tables of appropriate data. Descriptions of decisions to be supported by information produced by system. Summary narrative of results produced. Structure charts, dataflow diagrams and/or other diagrams to document the structure of the system. Listings of computer models/programs utilized. Reports displaying results. Recommended decision from results. User instructions. You MUST collect the necessary data and should have a first draft of the project description approved by the instructor BEFORE initiating on detailed work.
- #5: <number>
- #6: <number>
- #7: <number> If you look at typical early adopters of data warehousing. They typically are in financial services, insurance companies because they have a lot of data that is very useful in understanding customers behaviors, retail and distributions. Because there is a lot of utility in doing inventory management appropriately. Now in retail and distribution one of the things that they have is an infrastructure, which involves electronic point of sales system. If you do not have electronic point of sales system then you cannot collect the data very easily. So in different infra structures you have different adoption rates. So in my understanding in Pakistan retailing is not as good to adopt because the ecost infrastructure is not as advanced as for e.g. in the telecommunications industry you have much more advances networks for collecting the data and so on. You have to look at the infrastructure of the industry. In US retailing has very high adoption rates actually these were the first guys to adopt in the US because of extremely competitive retailing. Basically all retailers have electronic point of sales systems in place and you can the data. Transportation like air line, rental car agencies, rail roads those kind of companies are quick adaptors. And government for planning, for e.g. NADRA is one of the early adopters in Pakistan to predict trends in the population and so on. and to find where to invest in education or training and social welfare programs and so on. One of the common trend among the early adopters is that there are a lot of customers and transactions. So the customers are the people you care about, they are the people whose behavior you are trying to predict. And the transactions are the behaviors that you use to build those predictive models.
- #8: <number> If you look at typical early adopters of data warehousing. They typically are in financial services, insurance companies because they have a lot of data that is very useful in understanding customers behaviors, retail and distributions. Because there is a lot of utility in doing inventory management appropriately. Now in retail and distribution one of the things that they have is an infrastructure, which involves electronic point of sales system. If you do not have electronic point of sales system then you cannot collect the data very easily. So in different infra structures you have different adoption rates. So in my understanding in Pakistan retailing is not as good to adopt because the ecost infrastructure is not as advanced as for e.g. in the telecommunications industry you have much more advances networks for collecting the data and so on. You have to look at the infrastructure of the industry. In US retailing has very high adoption rates actually these were the first guys to adopt in the US because of extremely competitive retailing. Basically all retailers have electronic point of sales systems in place and you can the data. Transportation like air line, rental car agencies, rail roads those kind of companies are quick adaptors. And government for planning, for e.g. NADRA is one of the early adopters in Pakistan to predict trends in the population and so on. and to find where to invest in education or training and social welfare programs and so on. One of the common trend among the early adopters is that there are a lot of customers and transactions. So the customers are the people you care about, they are the people whose behavior you are trying to predict. And the transactions are the behaviors that you use to build those predictive models.
- #9: <number>
- #10: <number>
- #11: <number> Develop an application for an organization of your choice. This may be a problem from your place of employment or internship, if possible. The ideal and desired project is expected to be carried out using a fourth-generation language (4GL) or a high level language as a decision support software tool or part of it. This project will consist of a case study and implementation that is conducted for a business situation of your choice. Along with the source-code a project report is to be submitted. The project report to include, but is not limited to, the following as documentation: Narrative description of business and tables of appropriate data. Descriptions of decisions to be supported by information produced by system. Summary narrative of results produced. Structure charts, dataflow diagrams and/or other diagrams to document the structure of the system. Listings of computer models/programs utilized. Reports displaying results. Recommended decision from results. User instructions. You MUST collect the necessary data and should have a first draft of the project description approved by the instructor BEFORE initiating on detailed work.
- #12: <number>
- #13: <number> Develop an application for an organization of your choice. This may be a problem from your place of employment or internship, if possible. The ideal and desired project is expected to be carried out using a fourth-generation language (4GL) or a high level language as a decision support software tool or part of it. This project will consist of a case study and implementation that is conducted for a business situation of your choice. Along with the source-code a project report is to be submitted. The project report to include, but is not limited to, the following as documentation: Narrative description of business and tables of appropriate data. Descriptions of decisions to be supported by information produced by system. Summary narrative of results produced. Structure charts, dataflow diagrams and/or other diagrams to document the structure of the system. Listings of computer models/programs utilized. Reports displaying results. Recommended decision from results. User instructions. You MUST collect the necessary data and should have a first draft of the project description approved by the instructor BEFORE initiating on detailed work.
- #14: <number> Develop an application for an organization of your choice. This may be a problem from your place of employment or internship, if possible. The ideal and desired project is expected to be carried out using a fourth-generation language (4GL) or a high level language as a decision support software tool or part of it. This project will consist of a case study and implementation that is conducted for a business situation of your choice. Along with the source-code a project report is to be submitted. The project report to include, but is not limited to, the following as documentation: Narrative description of business and tables of appropriate data. Descriptions of decisions to be supported by information produced by system. Summary narrative of results produced. Structure charts, dataflow diagrams and/or other diagrams to document the structure of the system. Listings of computer models/programs utilized. Reports displaying results. Recommended decision from results. User instructions. You MUST collect the necessary data and should have a first draft of the project description approved by the instructor BEFORE initiating on detailed work.
- #15: <number> Develop an application for an organization of your choice. This may be a problem from your place of employment or internship, if possible. The ideal and desired project is expected to be carried out using a fourth-generation language (4GL) or a high level language as a decision support software tool or part of it. This project will consist of a case study and implementation that is conducted for a business situation of your choice. Along with the source-code a project report is to be submitted. The project report to include, but is not limited to, the following as documentation: Narrative description of business and tables of appropriate data. Descriptions of decisions to be supported by information produced by system. Summary narrative of results produced. Structure charts, dataflow diagrams and/or other diagrams to document the structure of the system. Listings of computer models/programs utilized. Reports displaying results. Recommended decision from results. User instructions. You MUST collect the necessary data and should have a first draft of the project description approved by the instructor BEFORE initiating on detailed work.
- #16: <number> Develop an application for an organization of your choice. This may be a problem from your place of employment or internship, if possible. The ideal and desired project is expected to be carried out using a fourth-generation language (4GL) or a high level language as a decision support software tool or part of it. This project will consist of a case study and implementation that is conducted for a business situation of your choice. Along with the source-code a project report is to be submitted. The project report to include, but is not limited to, the following as documentation: Narrative description of business and tables of appropriate data. Descriptions of decisions to be supported by information produced by system. Summary narrative of results produced. Structure charts, dataflow diagrams and/or other diagrams to document the structure of the system. Listings of computer models/programs utilized. Reports displaying results. Recommended decision from results. User instructions. You MUST collect the necessary data and should have a first draft of the project description approved by the instructor BEFORE initiating on detailed work.
- #17: <number> If you look at typical early adopters of data warehousing. They typically are in financial services, insurance companies because they have a lot of data that is very useful in understanding customers behaviors, retail and distributions. Because there is a lot of utility in doing inventory management appropriately. Now in retail and distribution one of the things that they have is an infrastructure, which involves electronic point of sales system. If you do not have electronic point of sales system then you cannot collect the data very easily. So in different infra structures you have different adoption rates. So in my understanding in Pakistan retailing is not as good to adopt because the ecost infrastructure is not as advanced as for e.g. in the telecommunications industry you have much more advances networks for collecting the data and so on. You have to look at the infrastructure of the industry. In US retailing has very high adoption rates actually these were the first guys to adopt in the US because of extremely competitive retailing. Basically all retailers have electronic point of sales systems in place and you can the data. Transportation like air line, rental car agencies, rail roads those kind of companies are quick adaptors. And government for planning, for e.g. NADRA is one of the early adopters in Pakistan to predict trends in the population and so on. and to find where to invest in education or training and social welfare programs and so on. One of the common trend among the early adopters is that there are a lot of customers and transactions. So the customers are the people you care about, they are the people whose behavior you are trying to predict. And the transactions are the behaviors that you use to build those predictive models.
- #18: <number> If you look at typical early adopters of data warehousing. They typically are in financial services, insurance companies because they have a lot of data that is very useful in understanding customers behaviors, retail and distributions. Because there is a lot of utility in doing inventory management appropriately. Now in retail and distribution one of the things that they have is an infrastructure, which involves electronic point of sales system. If you do not have electronic point of sales system then you cannot collect the data very easily. So in different infra structures you have different adoption rates. So in my understanding in Pakistan retailing is not as good to adopt because the ecost infrastructure is not as advanced as for e.g. in the telecommunications industry you have much more advances networks for collecting the data and so on. You have to look at the infrastructure of the industry. In US retailing has very high adoption rates actually these were the first guys to adopt in the US because of extremely competitive retailing. Basically all retailers have electronic point of sales systems in place and you can the data. Transportation like air line, rental car agencies, rail roads those kind of companies are quick adaptors. And government for planning, for e.g. NADRA is one of the early adopters in Pakistan to predict trends in the population and so on. and to find where to invest in education or training and social welfare programs and so on. One of the common trend among the early adopters is that there are a lot of customers and transactions. So the customers are the people you care about, they are the people whose behavior you are trying to predict. And the transactions are the behaviors that you use to build those predictive models.
- #19: <number> If you look at typical early adopters of data warehousing. They typically are in financial services, insurance companies because they have a lot of data that is very useful in understanding customers behaviors, retail and distributions. Because there is a lot of utility in doing inventory management appropriately. Now in retail and distribution one of the things that they have is an infrastructure, which involves electronic point of sales system. If you do not have electronic point of sales system then you cannot collect the data very easily. So in different infra structures you have different adoption rates. So in my understanding in Pakistan retailing is not as good to adopt because the ecost infrastructure is not as advanced as for e.g. in the telecommunications industry you have much more advances networks for collecting the data and so on. You have to look at the infrastructure of the industry. In US retailing has very high adoption rates actually these were the first guys to adopt in the US because of extremely competitive retailing. Basically all retailers have electronic point of sales systems in place and you can the data. Transportation like air line, rental car agencies, rail roads those kind of companies are quick adaptors. And government for planning, for e.g. NADRA is one of the early adopters in Pakistan to predict trends in the population and so on. and to find where to invest in education or training and social welfare programs and so on. One of the common trend among the early adopters is that there are a lot of customers and transactions. So the customers are the people you care about, they are the people whose behavior you are trying to predict. And the transactions are the behaviors that you use to build those predictive models.
- #20: <number> Develop an application for an organization of your choice. This may be a problem from your place of employment or internship, if possible. The ideal and desired project is expected to be carried out using a fourth-generation language (4GL) or a high level language as a decision support software tool or part of it. This project will consist of a case study and implementation that is conducted for a business situation of your choice. Along with the source-code a project report is to be submitted. The project report to include, but is not limited to, the following as documentation: Narrative description of business and tables of appropriate data. Descriptions of decisions to be supported by information produced by system. Summary narrative of results produced. Structure charts, dataflow diagrams and/or other diagrams to document the structure of the system. Listings of computer models/programs utilized. Reports displaying results. Recommended decision from results. User instructions. You MUST collect the necessary data and should have a first draft of the project description approved by the instructor BEFORE initiating on detailed work.