Impact of Business Intelligence in Analysis of Staff Turnover: A Study on the Impact of Business Intelligence in Analysis of Staff Turnover in an Organization - Image 1

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LAP Lambert Academic Publishing Impact of Business Intelligence in Analysis of Staff Turnover: A Study on the Impact of Business Intelligence in Analysis of Staff Turnover in an Organization

Name: Impact of Business Intelligence in Analysis of Staff Turnover: A Study on the Impact of Business Intelligence in Analysis of Staff Turnover in an Organization
Brand: LAP Lambert Academic Publishing
Price: 53.0 GBP
Availability: InStock

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Description

The general objective of this study research was to study the impact of Business Intelligence Business Intelligence (BI) in analysis of staff turnover in the Agriculture and Food Authority Agriculture and Food Authority (AFA). This study’s main goal is to identify areas of human resources management for which agricultural institutions in Kenya can integrate BI with Information Communication and Technology Information Communication and Technology (ICT) systems to increase the ability of institutions to measure and quantify metrics, create effective employee development strategies, increase efficiency in hiring and recruitment, improve knowledge management and collaboration and increase enterprise reporting and decision making within an institution with the view of minimizing the effect of employee turnover.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 620551107X
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 18 October 2022
Listed Since: 12 November 2022

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LAP Lambert Academic Publishing Impact of Business Intelligence in Analysis of Staff Turnover: A Study on the Impact of Business Intelligence in Analysis of Staff Turnover in an Organization

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It has never been this cheap. We have no record of a lower price.

LAP Lambert Academic Publishing Impact of Business Intelligence in Analysis of Staff Turnover: A Study on the Impact of Business Intelligence in Analysis of Staff Turnover in an Organization

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