Abstract

Several organizations from different sectors depend increasingly on knowledge extracted from huge volumes of data generated by different sources, such as IoT, sensors and databases. At the core of data lifecycle, data reliability, analytics, security, scalability and use are important concerns. Coping with these issues in handling data requires understanding the challenges associated with it. Analysis process and storage devices have been widely studied. However, very few studies have explored the collect data phase. In this study we aim to analyse more the collect phase of data lifecycle to provide an optimized and smart approach. This paper aim to provide the right method to follow in data collect phase within different domain according to client needs and requirements. It provides not only a detailed view of the main steps, but also based on a prior literature review on different existing methods. This allowed us subsequently to establish a correspondence with the SLR method on which we based our method. We use an explicit example to illustrate the steps of our method.

Highlights

  • To improve the process based on extracting knowledge from raw data, many researches in different fields faced big challenges due to multiple reasons as mention in (Yu, 2016; Furche, 2016; Hu and Vasilakos, 2016)

  • For a better resulting we study in “Research Method” section the data lifecycle in literature focusing on data collect phase in each study

  • We proposed a new Data Collect process to be the first step for improvement

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Summary

Introduction

To improve the process based on extracting knowledge from raw data, many researches in different fields faced big challenges due to multiple reasons as mention in (Yu, 2016; Furche, 2016; Hu and Vasilakos, 2016). Satisfying customer request is a normal behavior since the customer is king (Harris, 1991) To apply it remain an enormous task needs high tools and methods to target, their exact need and extract the needful (Chen et al, 2014a). For this reason, in our approach we give high importance on the use of best practices to fit client’s requests. The key steps of Systematic Literature Review were used as reference to conduct the phases of our proposed Data Collect Method with an example based on ODK suite. In the last section we will develop a conclusion of this work

Related Works
Research Method
Results
Conclusion
Data management
Process Improvements
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