What does Big Data has in-store for organisations: An Executive Management Perspective

NoWith a cornucopia of literature on Big Data and Data Analytics it has become a recent buzzword. The literature is full of hymns of praise for big data, and its potential applications. However, some of the latest published material exposes the challenges involved in implementing Big Data (BD) approach, where the uncertainty surrounding its applications is rendering it ineffective. The paper looks at the mind-sets and perspective of executives and their plans for using Big Data for decision making. Our data collection involved interviewing senior executives from a number of world class organisations in order to determine their understanding of big data, its limitations and applications. By using the information gathered by this is used to analyse how well executives understand big data and how well organisations are ready to use it effectively for decision making. The aim is to provide a realistic outlook on the usefulness of this technology and help organisations to make suitable and realistic decisions on its investment. Professionals and academics are becoming increasingly interested in the field of big data (BD) and data analytics. Companies invest heavily into acquiring data, and analysing it. More recently the focus has switched towards data available through the internet which appears to have brought about new data collection opportunities. As the smartphone market developed further, data sources extended to include those from mobile and sensor networks. Consequently, organisations started using the data and analysing it. Thus, the field of business intelligence emerged, which deals with gathering data, and analysing it to gain insights and use them to make decisions (Chen, et al., 2012). BD is seem to have a huge immense potential to provide powerful information businesses. Accenture claims (2015) that organisations are extremely satisfied with their BD projects concerned with enhancing their customer reach. Davenport (2006) has presented applications in which companies are using the power of data analytics to consistently predict behaviours and develop applications that enable them to unearth important yet difficult to see customer preferences, and evolve rapidly to generate revenues

On MMSE methods for blind identification of OFDM-based SIMO systems

This paper considers the problem of channel identification in OFDM-based SIMO systems. In this contribution, we focus on minimum mean square error (MMSE) algorithm, which exploits the system structure and offers superior estimation performance. Simulation results are provided to illustrate this claim and to assess the performance of the proposed algorithms. © 2009 IEEE

Blind channel identification for OFDM-based SIMO systems

We introduce blind channel identification and equalization for orthogonal frequency division multiplexing (OFDM) system using a guard interval (GI). To perform channel identification, Subspace-based methods are proposed. To achieve enhanced performance and robustness to channel frequency nulls, receiver diversity and OFDM is combined. The performance of the proposed system is illustrated by computer simulations. ©2008 IEEE

Sharjah-Sat-3: A Low-Cost 6U CubeSat for Space Weather Applications

International audienc

SolSat: A Low-Cost 3-U CubeSat System for Space Weather applications

International audienc

Consensus recommendations on fasting during Ramadan for patients with kidney disease: review of available evidence and a call for action (RaK Initiative)

Abstract Ramadan fasting (RF) involves abstaining from food and drink during daylight hours; it is obligatory for all healthy Muslims from the age of puberty. Although sick individuals are exempt from fasting, many will fast anyway. This article explores the impact of RF on individuals with kidney diseases through a comprehensive review of existing literature and consensus recommendations. This study was conducted by a multidisciplinary panel of experts. The recommendations aim to provide a structured approach to assess and manage fasting during Ramadan for patients with kidney diseases, empowering both healthcare providers and patients to make informed decisions while considering their unique circumstances