Baseline Survey Report: Case study of Uluguru and Usambara mountains (Bigwa, Tangeni, Peko Misegese, Mashewa and Misalai villages)

Agriculture is the back borne of the economy of Tanzania and its main objective is to ensure food security and eradication of rural poverty through the promotion of production systems, technologies and practices that are environmental sound (Tanzania National Environmental Policy, 1999). However, this has not been achieved due to rapid land degradation, which has consequently lead to massive soil loss, decline in crop yields, disruption of water resources and the destruction of the natural resources in general. This report highlights the extent to which agricultural related activities like agronomic and cultural practices such as use of fire for preparation of farms and cutting of trees to meet villagers’ needs have devastating effect on the quality of the environment. Besides these observed difficulties this paper argued that as the survival, well being and future of the Uluguru and Usambara people it is essential to provide continuous training to farmers, so that they know how best to continue farming and harvesting forest products on a sustainable basis without causing much harm to the environment. Most of all this paper recommends the introduction of Ngolo cultivation technology on steep slopes of Usambara and Uluguru mountains in order to enhance the conservation of the environment.

An Exploratory Study of Data Quality Management Practices in the ERP Software Systems Context

Quality data are not only relevant for successful Data Warehousing or Business Intelligence applications; they are also a precondition for efficient and effective use of Enterprise Resource Planning (ERP) systems. ERP professionals in all kinds of businesses are concerned with data quality issues, as a survey, conducted by the Institute of Information Systems at the University of Bern, has shown. This paper demonstrates, by using results of this survey, why data quality problems in modern ERP systems can occur and suggests how ERP researchers and practitioners can handle issues around the quality of data in an ERP software Environment.