Publishing houses and extent employment of big data technologies to improve their performance: (Iraq) as a model
Abstract
In order to upgrade its performance, publishing houses had to adopt a new approach to business intelligence through the use of big data techniques and analytics tools to obtain a huge amount of data that differed from what decision makers had previously adopted with the information they needed in real time. The study aims to learn about the reality of the use of big data technologies in publishing houses in Iraq, while urging them to provide the necessary infrastructure for the use of those technologies and their tools from human resources and specialized hardware and software. The study followed the survey's methodology for collecting and statistically analyzing data from publishers to ascertain the reality and utilization of the techniques. The findings found a clear weakness in human resources' knowledge of the concept of big data, as well as a lack of integrated human resources infrastructure, software and specialized devices for the use of big data and its technology, as well as a lack of the most basic types of databases so that they can use those technologies to analyses their data, extract perceptions and extract insights from them to improve their performance. The study suggested seeking to develop human resources by providing specialists and experts to learn from or participate in training courses With the creation of databases that are employed at work, and work on the creation of a special section supported by a local big data management network while ensuring the protection of its security and privacy by adopting laws and regulations governing its access Seeking to acquire software and devices specialized in handling and applying big data in work whether in storage, exploration, analysis, visual representation or showing results to contribute to giving perceptions and insights in supporting decision-making processes and taking them in real time to improve performance by converting data into value added in the areas of identifying opportunities, investing them, predicting risks, avoiding productivity, guaranteeing profit, activating control, competing and creating innovation.