Call Us  +44 203 8681 670
Assignment Writing Service: We offer on-line assignment writing help and services to students in the UK. Avail quality academic help services and excel in your career.
Global Academic Research Ltd., Cardiff Bay Business Centre, Lewis Rd, Ocean Park,
Cardiff
CF24 5BS
United Kingdom

Book Your Assignment at The Lowest Price Now

Analyzing Research Practices for Business Intelligence

  • 60,000+ Orders Delivered
  • 4.9 Rated Services
  • 400+ Certified Writers
Business Intelligence

3740 Downloads 6 Pages 1383 Words

Introduction

Business Intelligence (BI) is responsible technology driven process which use for analysing different information and actions taking by top management of companies to improve business decision making process. The following research is relating to BI and to understand its importance in organizations, two articles related to Internet of Things has been taken into the consideration. The area that will cover in present study is IoT and its impact on industry and why IT professionals needs to understand it.

1. Articles

Write Up 1

Internet of things is a very hot topic in present time. Most of the technology service providers are introducing their products into the market with the help of IoT. As per the write up of A beginner's guide to understanding the Internet of Things, it has been found that IoT is more than an internet connection between electronic devices to the users smart phones and other devices (Cha, 2015). The goal of this thing is making the service users more smarter and devilver good experience to them about then technology. For IT professionals, it is important for them to understand and know about IoT. There are different things that should be needed to know by IT professionals about IoT which are as follows.

Device Integration

At present time, the service users and IT professionals are already using digital account and password to manage their important information. Thing thing has increase the burden upon end users of internet. Therefore, It experts should use IoT as an integration platform where they can solve the issues to the consumers during use of digital technology devices by decrease their extra burden and deliver good experience regrading things. For giving total connected experience to the clients and other service users, IT professionals should understand how to connect all the devices to each other so that it may improve the lives of the community and help the industries to take competitive advantages in the market place (Lui, 2015.). The reason of understand device integration by It professionals is simply improves the lives of end users.

Privacy and Security

Choosing a strong password to access the different account is increasing the security issues for internet users in now a days. Privacy and security issues should be understand by Information technology professionals because number of IoT cases grows day by day (Lawrence, 2015). For thing, they should need to considered about vulnerabilities and privacy implications in smart and digital devices. It is important to under this thing by IT professionals because it can help in reduce the number of privacy and security issues with smart devices. IT professionals should develop some skills so that diverse set of device weaknesses can be resolve and make them more improve and secure from external threats.

Analytics Expertise

In present era, many of the organizations are using IoT as a technology tp gather the valuable information about the customers. In upcoming five years, it has been forecasted that IoT will contribute about to $1.9 trillion in international economy. In this context, IT professionals should collect different data and analyse it to determine trends and patterns about demand of use of internet in various aspects. IoT helps both job seekers and currently employed people to upgrade their knowledge about trends in market (Bi, Da Xu and Wang, 2014). Along with this, IT professionals should know which kind of customer data is valuable for them that can refine and improve IoT devices working.

Write Up 2

Second write up is relating to Analystics, Machine Learning and the Internet of Things. In the technology world, the increase of use of internet and the integration of different digital devices with internet has directly impact on industries and effectively manage and utilize the information (Earley, 2015). Towards this, there are various aspects which should be require for IT professionals to know about IoT. First thing should be understand by IT experts is challenges that are facing by the industries such as security, privacy, integration of different devices to one another, data base management etc. IoT is a part of IT which help in new innovation in IT sectors and deliver the more easy and comfortable lives to the end users with the time (Gubbi, Buyya, Marusic, and Palaniswami, 2013). As more and more devices connecting to the internet, IT professionals are facing new issues and problems related to security and privacy. For IT experts, they should given not only innovation of new digital devices. They should focus on adoption and expansion of IoT for different companies so that it can be use for various purpose.

Another thing which should be understand by IT professionals is if a sensor has implant in a machine that it can not be machine for no longer. After this, it is considering SMART system that can measure and evaluate the data and other information in effective manner. The reason of considering the above stated aspect by IT experts is help in innovation of new IT technologies that can more than one devices to the internet in a single time by minimizing the risk of privacy and security issues. On the other hand, for IT professionals should know IoT capabilities. For example, with the use of IoT, it is easy to connect SMART devices with different home appliances. With the help of it, they can be easily control, monitor, optimum utilized of the resources etc.

2. Week #1 Assignment

Machine Learning

For understand about Machine Learning (ML), the selected response from given 12 responses is 8. The reason of chosen the following section is it has very well explain difference between Log Data and Transaction Data and their role in ML. Log data is a simple process of entering the different log events which has been taken place during an process. For every action or activity, a separate sets of file can be prepare. For example, a time taken to start and complete a process of sourcing of information, the recorded time for each cycle has mentioned. On the other hand, transaction data related information can be obtained from different events of a company for which it is conducting a business. It is to forecast the various business related information such as sales, budget, customers revisit, inventory management etc. For instance, Gmail keeps all the records of all those system locations from where a user logged in. If he logged in again from a new location than it will show a warning notification to him to proceed in further direction.

Machine Learning helps in analysing both Log and Transaction data and extract essential information from it. The data obtain from these sources, it becomes easy to draw a pattern that shows the changes between Log data and Transaction Data. For example, by analysing both data sources, it has been determined that in a summer weather, children buy more ice-creams. Here, with the use of ML, store manager can increase flavours of different ice-creams so that the sales of this product can be increase in particular season.

Conclusion

From the two write ups, it has been concluded that Internet of Thing has completely change the meaning of Information Technology. It has delivered a huge platform to IT experts to integrate different smart devices with each other by using internet. In this context, privacy, security, safety etc should be major concern of IT professionals towards use of IoT. On the other hand, Machine Learning has utilized both Log Data and Transaction Data for interpret data by comparing both of them.

References

  • Atzori, L., Iera, A. and Morabito, G., 2010. The internet of things: A survey.Computer networks.
  • Bi, Z., Da Xu, L. and Wang, C., 2014. Internet of things for enterprise systems of modern manufacturing. Industrial Informatics, IEEE Transactions on.
  • Chen, H., Chiang, R.H. and Storey, V.C., 2012. Business Intelligence and Analytics: From Big Data to Big Impact. MIS quarterly.
  • Coetzee, L. and Eksteen, J., 2011, May. The Internet of Things-promise for the future? An introduction. In IST-Africa Conference Proceedings.
Download Full Sample

Please Enter Bellow Detail to Download

Please enter a valid detail address to download a sample you request.

  • img

X
Most Downloaded Samples
Exceptional Benefits
  • Timely Delivery
  • 24*7 Live Assistance
  • Free Turnitin Report
  • Free Unlimited Revisions
  • Ownership Guarantee
  • Money-back Guarantee

Avail NOW

Proceed to Order
Assignmentdesk.co.uk Official WhatsApp Number +44 7999 903324 24/7 Available
Accounting Experts
  • Chris Wilson Chris Wilson

    I have assisted many students with their academic

    Hire Me
  • Maria Josh Maria Josh

    I work with an objective to sort out the academic

    Hire Me
  • Steven Jack Steven Jack

    As a professional academic writer for Supply Chain

    Hire Me
Best Prices
Get 25% OFF On Your First Assignment Help Order
Pop-Up Locator

Select Country

Request Call Back
Free Inquiry