Discuss legal infrastructural preparedness for E-readiness.

 Legal Infrastructure Preparedness

  • They lack requisite legislation and legal infrastructure to enable such reforms or reengineering of the existing business practices, rules, and regulations within the government at various levels.
  •  The manual processes in government are usually obsolete, inefficient, and bureaucratic.
  • Though they have transformed to computerization practices, they continue to have poor and inefficient performance and this is due to a lack of administrative reforms and lack of business process reengineering. 
  • This seems to be accentuated in developing countries while developed countries have been significantly successful in administrative reforms and business reengineering.
  • The fundamental question that arises here is" Are the laws and regulations required to permit and support the move towards e-governance initiatives in place? E.g Digital Signature Act

Comments

Popular posts from this blog

Suppose that a data warehouse for Big-University consists of the following four dimensions: student, course, semester, and instructor, and two measures count and avg_grade. When at the lowest conceptual level (e.g., for a given student, course, semester, and instructor combination), the avg_grade measure stores the actual course grade of the student. At higher conceptual levels, avg_grade stores the average grade for the given combination. a) Draw a snowflake schema diagram for the data warehouse. b) Starting with the base cuboid [student, course, semester, instructor], what specific OLAP operations (e.g., roll-up from semester to year) should one perform in order to list the average grade of CS courses for each BigUniversity student. c) If each dimension has five levels (including all), such as “student < major < status < university < all”, how many cuboids will this cube contain (including the base and apex cuboids)?

Suppose that a data warehouse consists of the three dimensions time, doctor, and patient, and the two measures count and charge, where a charge is the fee that a doctor charges a patient for a visit. a) Draw a schema diagram for the above data warehouse using one of the schemas. [star, snowflake, fact constellation] b) Starting with the base cuboid [day, doctor, patient], what specific OLAP operations should be performed in order to list the total fee collected by each doctor in 2004? c) To obtain the same list, write an SQL query assuming the data are stored in a relational database with the schema fee (day, month, year, doctor, hospital, patient, count, charge)

Discuss classification or taxonomy of virtualization at different levels.