Abstract
HDSS's (Health and Demographic and Surveillance Systems) are typically structured around subjects within the DSA (Demographic Surveillance Area). These subjects have both a conceptual and a logistical rationale. Major subject areas are: birth, death, in-migration, outmigration and delivery. Field workers collect HDSS data in various points of time and feed the data into computer systems manually. Further data analysis takes place. To have a concise view about major elements data cleaning and integration are required. Due to many dimensions and large volume of data, integration is becoming a challenging issue. Researcher performs data cleaning, transformation and integration manually. Which is a time consuming task? The current paper highlights the use of Business intelligence tools (SAS) for HDSS data integration. The experiment starts with Vadu-HDSS site (which is a member of INDEPTH NETWORK, Ghana), Pune, and Maharashtra. The current paper addresses the complexities in the HDSS data Integration, implementation, advantages and results.
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