E Governance Data Center, Data Warehousing and Data Mining : Vision to Realities

India is showing incredibly strong appearance in Information Technology (IT) sector worldwide, but the benefits of IT revolution have not actually percolated into the everyday life of the common man, particularly in rural areas. National E Governance Plan is a major initiative of the Government of India, the first time under which a concerted effort is being made to take Information Technology to the masses in areas of concern to the common man. It aims to make services available online, ensuring that all citizens would have access to them, thereby improving the quality of basic governance on an unprecedented scale.This book attempts to disseminate information about several E Governance projects and possible Data Mining benefits which are the future of good governance in India. Strategic Management of these projects through Data Mining would certainly encourage policy makers to understand better models of E Governance, thorough evaluation of projects, perceptive interrelations between projects, keeping track of the objectives and outcomes and to develop a more collaborative approach towards implementation of the National e- Governance Plan. This revolutionary approach will help the government in assessing the upcoming requirements and developing competencies for further project management, thereby making a difference in the lives of millions. It will help innovators to find out optimum solutions to achieve the end objectives of E Governance. Technical topics discussed in the book include:• E Governance• Fundamental of Data, Data Warehousing, Data Mining, E Governance• World Wide Status of E Governance• Status of E Governance projects in India• E Governance Data Management Framework• E Governance Data Center• Perspective Application of Data Warehousing and Data Mining in E Governance• Case Studies on Education and Health Data Mining• E Governance Data Mining Applications in Various Government Departments, Public Sector, Private Sector• SWOT and PESTLE Analysis for Da