3. Do the Research- Literature Review –Milestone 3- Due date 11/05/2018 This is the main part of the research project and could take more time. (Referencing should be in APA6 format) i. Review of...

Application of BI in IOT Environment
Executive Summary
Internet of things and business intelligence are two popular trends of today and when they are combined, the capabilities of systems are increased to a great extent. In this research the possibilities of combing the two technologies for the commercial and business usage has been explored. The report is a research that first explores the current literature on the subject which includes exploration of IOT technologies and BI technologies. Further, it examines the use of BI in the IOT environment.
Purpose: The purpose of this research is to examine how IOT and BI technologies are used today and how they can benefit organizations and if there are any challenges faced then how they are overcome.
Scope: the scope of this research includes exploration of the literature on the subject , collection of the qualitative data on IOT and BI and content analysis of the same to identity the applications, challenges, and solution related to the use of these technologies that would be presented in the report. The report contains a comparison of possible methodologies that can be used in the research, makes a selection that is most appropriate and presents the findings form the research. It also includes a summary and recommendations on the use of BI with IOT for the modern organizations.
Method: The method used for the current research is the secondary qualitative data collection with content analysis that would be conducted on the literature studied.
Results: This method would result into identification of the themes and patterns in the qualitative data that would, exemplify the applications, challenges and solutions of BI and IOT. Certain technologies and applications as well as the cases of the companies benefiting form these technologies would ne identified based on which some recommendations would be made.
Recommendations: recommendations would be made on how the technologies can be used by companies to gain business advantages, how they can overcome challenges if any occur, and what technologies would suit them for their business and would get them competitive advantages in the long run.
Contents
Executive Summary    1
Introduction    2
Literature Review    2
IoT Architecture    3
Business Intelligence    5
Business Intelligence with IoT    7
Methodologies    9
Comparison of Methodologies    10
Selection of Methodology    11
Research Findings    11
Conclusions    15
References    16
Introduction
This research paper explores the concept of IOT and BI as well as the possibilities of the two using together. The research would first explore the concept of IOT and would identify various applications of the technology. Further, it would explore the cases of BI which is business intelligence to understand its applications. Lastly, the research would utilize the secondary data sources to come up with a better understanding of how BI and IOT can be used in combination to get best business results. The research makes use of the secondary data that would be obtained from secondary sources like journals, website, research reports, and books. The data would be analysed using a content analysis procedure. The methodology section explores possibilities of research methods and justifies the choice of the content analysis as the key method for analysis of the data in the current research. Based on the data contained, some insight that are obtained by the researcher would be spread out at the end of the research in the findings section.
Literature Review
Internet of things is a network of objects and devices that are linked together to follow certain protocols while exchanging information between them. The devices can include an infrared sensor, Global Positioning System (GPS), Radio Frequency Identification device (RFID), or a laser scanner. Some intelligent operations can be conducted with this networking working in collaboration such as device identification, location tracking, tracing, controlling, and object management.
IoT systems have three key characteristics that include comprehensive perception achieved by using all sending data available, reliable delivery in the real time, and intelligent processing of large amount of data using intelligent computing possibly over cloud.
IoT systems have become very popular lately because of the vast capabilities it has to offer. It fills the gap between the physical and the virtual world by integrating the physical objects in to the information network. As per Gartner, there would be 26 billion IoT connected devices in the world by 2020, which would build a foundation of $300 billion. As per VTT technical research centre, Finland, $15 trillion dollars can be earned globally with IoT devices by the year 2030 (mei & Zhanghang, 2013).
In IoT systems, physical objects that are connected to the network can be made intelligent including homes, pets, food and even humans. SST or ShotSpotter is an example of such a device that could detect a gunfire using microphones and calculate the distance to track its location. With this device, the police could be reported about the threats within 45 seconds (Haller, et al., 2009).
IoT Architecture
IOT uses a global open architecture, which is dynamic and distributed. It has the capacity to maximize the interoperability of systems and resources, which is why it is becoming an essential thing or the industrial development in the modern society. Digitization of the world today have increased the amount of data available largely and it is only rising. With IOT appearing, the information is even huge such that the intelligence data processing needs to tackle the challenges of handling huge data sets (Pilerot & Limberg, 2011).
The most common IOT devices that make the part of its architecture or network include wireless devices like RFID. RFID is a non-contact system that makes use of the electromagnetic radio frequency for transferring data from the tags to objects for identification of tracking. Some RFID tags need no battery and can do the work for short distances through electromagnetic induction while others make use of a local source of power for emitting waves at radio frequencies. These tags have information that can be read from several meters away. RFID tags do not need the reader to be in the line of sight and they could be embedded in a tracking object. An RFID tag on an automobile while it is in production stage can help in tracking its progress through the assembly line. IN pharmacies, medicine locations could be tracked down at the warehouse. RFID tags if injected into pets, even they can be identified. RFID tags attached to clothes can allow tracking of a person too (Negash, 2004).
Wireless Sensor Network (WSN) is another popular IoT device, which involves spatially distributed sensors that are used for monitoring environmental or physical condition around such as pressure, temperature or sound. WSN networks re mostly bi-directional and thus, can enable controlling of the sensor activity as well. Battlefield surveillance, industrial process monitoring and control, and machine health monitoring are some of the examples of these types of networks. A WSN has several hundred to several thousands of nodes that are connected to one another. Each sensor network has a radio transceiver, a microcontroller and an interfacing circuit that connects between an energy source and the sensors. These sensor nodes come in different sizes from size of grain to the size of a shoebox as well as have a wide range cost from a few dollars to hundreds of them based on its complexity (Lee & Park, 2005).
The cost and size of these devices can put constraints on the resources like memory energy speed or communication bandwidth. WSN topology can be a simple star network or can also have multi-hop mesh network that is wireless and make use of routing or flooding for hopping through the network. WSN has become an active area of research in the field of computer science (Kortuem, et al., 2010).
Machine to machine (M2M) technologies make another kind of IoT network which involves both wired and wireless devices that capture various events and relay them to an application through a network and this application gets a meaningful information out of the date captured. Traditionally, this kind of relay would be done between a remote machine and a central hub but modern M2M communication systems can go beyond this one to one collection and transmit data through a system of networks. This presents new business opportunities to create personal connections between the consumers and the producers today (Kleinrock, 2010).
Business Intelligence
Business Intelligence is a technology that concerns with the structure, management, and functioning of organizations using computing techniques. It uses a systematic process of data collection, storage, analysis and presentation. The objectives are gain a competitive advantage and explore market opportunities through informed decisions. Competitive advantages could be achieved through low price, fast data access, collaborative environment,...