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Showing posts from January, 2023

Saving Resources through Sound GBV Screening: A Community Member Observation of GBV Screening by a CDC and PEPFAR Funded Program in Remote Counties of Kenya.

Abstract One of the key indicators monitored by programs implementing the PEPFAR-funded projects is school-based HIV and violence prevention. To prioritize this key performance indicator for the program, a vulnerability assessment is conducted through data collection on variables that build up gender-based violence; physical violence, emotional violence, and sexual violence among the AGYWs enrolled in these programs. Once a target priority is enumerated, GBV screening is conducted by a trained HTS provider. Wouldn’t the fund attain a more targeted and effective use if the vulnerability assessment data at enrollment was consistent with the GBV screening results? It is a postulation of this study that the data to support this claim as maintained by the program will reveal a great disparity and inconsistency because the enrollment data is blatant miss information when screening for GBV and the gap is in the manner of its collection, the point in time it is collected, the consultants tem...

Emerging Data Management Trends

Key Highlights Gain competitive edge by abandoning old Data management strategies slowing you down. This article is a guide towards reorganizing your data science department to take early lead in data processes for 2023 and beyond. Crafted in a simple and concise vocabulary while maintaining in-depth research into the industry's most current trends, this article is a must read not only for data professionals but all that fancy emerging issues. From Data Centers in Africa to Information Technology decision maker survey in the U.S, recent trends in Data Management are revamping data strategies and shrinking the old ways of data management for better and more dynamic data processing. This article stipulates why you should look at the most current data management trends before implementing a data management strategy, and how a specific approach applies to your particular needs. What is the impact of ML on the Risk analysis department of a financial services center? How much o...