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Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies

Research paper on big data Analytics

Big Data and the Internet of Things

Title: Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies 

Dai, H.-N., Wang, H., Xu, G., Wan, J., & Imran, M. (2019). Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies. https://doi.org/10.1080/17517575.2019.1633689

The recent advances in information and communication technology (ICT) has promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in massive manufacturing data can extract huge business values while it can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data.

For this assignment, you are required to research the benefits as well as the challenges associated with Big Data Analytics for Manufacturing Internet of Things.

Your paper should meet these requirements: 

· Be approximately four to six pages in length, not including the required cover page and reference page.

· Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.

· Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook.

· Be clearly and well-written, concise, and logical, using excellent grammar and style techniques.

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Data analytics can be used to create strategies for sustainable organizational success while integrating the organization’s mission with societal values

This assignment illustrates how data analytics can be used to create strategies for sustainable organizational success while integrating the organization’s mission with societal values. You’ll apply statistical time series modeling techniques to identify patterns and develop time-dependent demand models. You’ll practice organizing and delivering a presentation to senior decision-makers. The PowerPoint presentation includes an audio component in addition to speaker notes.  

Resources: Microsoft Excel, DAT565_v3_Wk6_Data_File

Scenario: A city’s administration isn’t driven by the goal of maximizing revenues or profits but instead looks at improving the quality of life of its residents. Many American cities are confronted with high traffic and congestion. Finding parking spaces, whether in the street or a parking lot, can be time consuming and contribute to congestion. Some cities have rolled out data-driven parking space management to reduce congestion and make traffic more fluid. 

You’re a data analyst working for a mid-size city that has anticipated significant increments in population and car traffic. The city is evaluating whether it makes sense to invest in infrastructure to count and report the number of parking spaces available at the different parking lots downtown. This data would be collected and processed in real-time, feeding an app that motorists can access to find parking space availability in different parking lots throughout the city. 

Instructions: Work with the provided Excel database. This database has the following columns:

  • LotCode: A unique code that identifies the parking lot
  • LotCapacity: A number with the respective parking lot capacity
  • LotOccupancy: A number with the current number of cars in the parking lot
  • TimeStamp: A day/time combination indicating the moment when occupancy was measured
  • Day: The day of the week corresponding to the TimeStamp
  • Insert a new column, OccupancyRate, recording occupancy rate as a percentage with one decimal. For instance, if the current LotOccupancy is 61 and LotCapacity is 577, then the OccupancyRate would be reported as 10.6 (or 10.6%).
  • Using the OccupancyRate and Day columns, construct box plots for each day of the week. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Is the median occupancy rate approximately the same throughout the week? If not, which days have lower median occupancy rates? Which days have higher median occupancy rates? Is this what you expected?
  • Using the OccupancyRate and LotCode columns,construct box plots for each parking lot. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Do all parking lots experience approximately equal occupancy rates?Are some parking lots more frequented than others? Is this what you expected?
  • Select any 2 parking lots. For each one, prepare a scatter plot showing occupancy rate against TimeStamp for the week 11/20/2016 –11/26/2016. Are occupancy rates time dependent? If so, which times seem to experience highest occupancy rates? Is this what you expected?
  • Outline the rationale and goals of the project.
  • Utilize boxplots showing the occupancy rates for each day of the week. Include your interpretation of results.
  • Utilize box plots showing the occupancy rates for each parking lot. Include your interpretation of results.
  • Provide scatter plots showing occupancy rate against time of day of your selected four parking lots. Include your interpretation of results.
  • Make a recommendation about continuing with the implementation of this project.

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Web Analytics Association and a key sponsor of this year’s Web2.0 Tech Conference

Scenario

Your company, Datalytic, is a member of the Web Analytics Association and a key sponsor of this year’s Web2.0 Tech Conference. As the resident web analytics expert at your company, you have been asked to present a topic at this year’s conference. You will be speaking to a diverse audience of business and technology professionals. The topic that you have been asked to speak on is “Making Web Analytics Actionable.” Your presentation should cover topics related to Web Analytics such that both business and technology professionals can take away specific items to implement at their companies.

The Web2.0 Tech Conference is the industry’s marquee event and will be held in Las Vegas this year. These types of events are ideal for companies to showcase their capabilities. A pre-event survey has revealed that attendees believe that basic web analytics is only about shopping basket analysis and ad placement. In your presentation, you will need to demonstrate that web analytics can serve many other purposes. In addition to the core web analytics concepts, you will describe the full range of web analytics capabilities using current technology. You will also introduce forward-thinking ideas that bring web analytics together with Machine Learning and the Internet of Things (IoT). You are free to be creative with your presentation.

Instructions

Prepare a comprehensive website analytics presentation for a diverse audience of business and technology professionals. Include the following:

  • Introduce the concept of web analytics for a diverse audience.
  • Describe Big Data pain points that companies face, and how they are addressed in a web-based environment. At a minimum, you must address data collection, storage, data modeling, and generating actionable insights. Be sure to address how different formats of data are handled in a web-based environment. Provide an example of the insight that can be gained by joining data sources.
  • Create a rating chart of popular web analytics tools and rate them based on key features. Include a color-coded key of your rating system so that the audience can easily compare tools.
  • Storyboard three in-depth case studies on web analytics using real-life companies. The companies that you select should come from different industries. Suggestions for topics are: ad placement, return on investment, cost savings, increased revenue, improved service, etc. Be sure to specifically highlight how the company took website data and made it actionable. Each case study in the storyboard should be supported with data visualizations.
  • Predict how the Internet of Things and Machine Learning will change web analytics. For this requirement, profile either Amazon Alexa or Google Home.
  • Suggest a list of data use policies that should be included for all companies. Your policy suggestions should cover, “Ethics in Web Analytics.” You will want to provide knowledge of the use of personal data, aggregated data, and who really owns data on websites.
  • Prepare a list of anticipated questions from the audience along with appropriate answers (commonly asked questions). Write them out in a Q&A format and include them at the end of each section of your presentation. If using PowerPoint, the Q&A should be on a separate slide. Q&A can also be implemented in the form of a knowledge checkpoint or graphic within your presentation.

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member of the Web Analytics Association and a key sponsor of this year’s Web2.0 Tech Conference

Scenario

Your company, Datalytic, is a member of the Web Analytics Association and a key sponsor of this year’s Web2.0 Tech Conference. As the resident web analytics expert at your company, you have been asked to present a topic at this year’s conference. You will be speaking to a diverse audience of business and technology professionals. The topic that you have been asked to speak on is “Making Web Analytics Actionable.” Your presentation should cover topics related to Web Analytics such that both business and technology professionals can take away specific items to implement at their companies.

The Web2.0 Tech Conference is the industry’s marquee event and will be held in Las Vegas this year. These types of events are ideal for companies to showcase their capabilities. A pre-event survey has revealed that attendees believe that basic web analytics is only about shopping basket analysis and ad placement. In your presentation, you will need to demonstrate that web analytics can serve many other purposes. In addition to the core web analytics concepts, you will describe the full range of web analytics capabilities using current technology. You will also introduce forward-thinking ideas that bring web analytics together with Machine Learning and the Internet of Things (IoT). You are free to be creative with your presentation.

Instructions

Prepare a comprehensive website analytics presentation for a diverse audience of business and technology professionals. Include the following:

  • Introduce the concept of web analytics for a diverse audience.
  • Describe Big Data pain points that companies face, and how they are addressed in a web-based environment. At a minimum, you must address data collection, storage, data modeling, and generating actionable insights. Be sure to address how different formats of data are handled in a web-based environment. Provide an example of the insight that can be gained by joining data sources.
  • Create a rating chart of popular web analytics tools and rate them based on key features. Include a color-coded key of your rating system so that the audience can easily compare tools.
  • Storyboard three in-depth case studies on web analytics using real-life companies. The companies that you select should come from different industries. Suggestions for topics are: ad placement, return on investment, cost savings, increased revenue, improved service, etc. Be sure to specifically highlight how the company took website data and made it actionable. Each case study in the storyboard should be supported with data visualizations.
  • Predict how the Internet of Things and Machine Learning will change web analytics. For this requirement, profile either Amazon Alexa or Google Home.
  • Suggest a list of data use policies that should be included for all companies. Your policy suggestions should cover, “Ethics in Web Analytics.” You will want to provide knowledge of the use of personal data, aggregated data, and who really owns data on websites.
  • Prepare a list of anticipated questions from the audience along with appropriate answers (commonly asked questions). Write them out in a Q&A format and include them at the end of each section of your presentation. If using PowerPoint, the Q&A should be on a separate slide. Q&A can also be implemented in the form of a knowledge checkpoint or graphic within your presentation.

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  • Customer satisfaction. Customer satisfaction. We have an outstanding customer care team that is always ready and willing to listen to you, collect your instructions and make sure that your custom writing needs are satisfied
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Datalytic, is a member of the Web Analytics Association and a key sponsor of this year’s Web2.0 Tech Conference

Scenario

Your company, Datalytic, is a member of the Web Analytics Association and a key sponsor of this year’s Web2.0 Tech Conference. As the resident web analytics expert at your company, you have been asked to present a topic at this year’s conference. You will be speaking to a diverse audience of business and technology professionals. The topic that you have been asked to speak on is “Making Web Analytics Actionable.” Your presentation should cover topics related to Web Analytics such that both business and technology professionals can take away specific items to implement at their companies.

The Web2.0 Tech Conference is the industry’s marquee event and will be held in Las Vegas this year. These types of events are ideal for companies to showcase their capabilities. A pre-event survey has revealed that attendees believe that basic web analytics is only about shopping basket analysis and ad placement. In your presentation, you will need to demonstrate that web analytics can serve many other purposes. In addition to the core web analytics concepts, you will describe the full range of web analytics capabilities using current technology. You will also introduce forward-thinking ideas that bring web analytics together with Machine Learning and the Internet of Things (IoT). You are free to be creative with your presentation.

Instructions

Prepare a comprehensive website analytics presentation for a diverse audience of business and technology professionals. Include the following:

  • Introduce the concept of web analytics for a diverse audience.
  • Describe Big Data pain points that companies face, and how they are addressed in a web-based environment. At a minimum, you must address data collection, storage, data modeling, and generating actionable insights. Be sure to address how different formats of data are handled in a web-based environment. Provide an example of the insight that can be gained by joining data sources.
  • Create a rating chart of popular web analytics tools and rate them based on key features. Include a color-coded key of your rating system so that the audience can easily compare tools.
  • Storyboard three in-depth case studies on web analytics using real-life companies. The companies that you select should come from different industries. Suggestions for topics are: ad placement, return on investment, cost savings, increased revenue, improved service, etc. Be sure to specifically highlight how the company took website data and made it actionable. Each case study in the storyboard should be supported with data visualizations.
  • Predict how the Internet of Things and Machine Learning will change web analytics. For this requirement, profile either Amazon Alexa or Google Home.
  • Suggest a list of data use policies that should be included for all companies. Your policy suggestions should cover, “Ethics in Web Analytics.” You will want to provide knowledge of the use of personal data, aggregated data, and who really owns data on websites.
  • Prepare a list of anticipated questions from the audience along with appropriate answers (commonly asked questions). Write them out in a Q&A format and include them at the end of each section of your presentation. If using PowerPoint, the Q&A should be on a separate slide. Q&A can also be implemented in the form of a knowledge checkpoint or graphic within your presentation.

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  • Customer satisfaction. Customer satisfaction. We have an outstanding customer care team that is always ready and willing to listen to you, collect your instructions and make sure that your custom writing needs are satisfied
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  • Writing services provided by experts. Looking for expert essay writers, thesis and dissertation writers, personal statement writers, or writers to provide any other kind of custom writing service?
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Data Science & Big Data Analytics

Course: Data Science & Big Data Analytics

In this week’s reading, the concept of 3-F Method is introduced.  Discuss the purpose of this concept and how it is calculated.  Also perform your own research/analysis using these factors and provide your assessment on whether the United States need to introduce top talents in the field of big data and cloud computing by using bibliometrics.

Please make your initial post and two response posts substantive. A substantive post will do at least two of the following:

  • Ask an interesting, thoughtful question pertaining to the topic
  • Answer a question (in detail) posted by another student or the instructor
  • Provide extensive additional information on the topic
  • Explain, define, or analyze the topic in detail
  • Share an applicable personal experience
  • Provide an outside source (for example, an article from the UC Library) that applies to the topic, along with additional information about the topic or the source (please cite properly in APA)
  • Make an argument concerning the topic.

NOTE: Please do not respond to your fellow students and “add a few points.”  Make sure your post is conversational and takes into account the other student’s content.

At least one scholarly source should be used in the initial discussion

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Data Science & Big Data Analytics

Course: Data Science & Big Data Analytics

This week’s reading centered around how Big Data analytics can be used with Smart Cities. This is exciting and can provide many benefits to individuals as well as organizations. For this week’s research assignment, you are to search the Internet for other uses of Big Data in RADICAL platforms. Please pick an organization or two and discuss the usage of big data in RADICAL platforms including how big data analytics is used in those situations as well as with Smart Cities. Be sure to use the UC Library for scholarly research. Google Scholar is the 2nd best option to use for research. Your paper should meet these requirements: 

  • Be approximately five to six pages in length, not including the required cover page and reference page.
  • Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
  • Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
  • Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

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Focusing on the analytics, decision support systems (DSS), and business intelligence (BI) frameworks and how BI and DDS support key issues of managerial decision making, assess aspects of decision making that are important to understand in order to develop effective computer support for decisions maker

 analytics and the Support of Decision MakingOverview

Focusing on the analytics, decision support systems (DSS), and business intelligence (BI) frameworks and how BI and DDS support key issues of managerial decision making, assess aspects of decision making that are important to understand in order to develop effective computer support for decisions makers.

Instructions

Write a 3–5 page paper that summarizes your conclusions. Address the following questions in your paper:

  • What are the various aspects of decision making that are important to understand when developing effective decision support systems?
  • What are some examples of application areas for analytics that support decision-makers?
  • What are the challenges and considerations, both technological and organizational, that need to be addressed when adopting business intelligence initiatives?
  • How does the introduction of analytics and business intelligence initiatives affect users, and how does it influence decision making at different levels of an organization?

In your paper be sure to address the major frameworks of computerized decision support in analytics, decision support systems (DSS), and business intelligence and how those frameworks support key issues of managerial decision making with the use and applications of business analytics.

As you complete your assignment, be sure your paper meets the following guidelines:

  • Written communication: Written communication is free of errors that detract from the overall message.
  • Scholarship: Use at least 5 professionally reputable sources to support your main points and analysis. Be sure to include scholarly sources. Course readings may be included among the 5 required sources.
  • APA formatting: All resources and citations should be formatted according to current APA style and formatting guidelines.
  • Length: 4–5 typed, double-spaced pages.
  • Font and font size: Times New Roman, 12 point.

Resources

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Business Intelligence and Analytics: Systems for Decision Support text

Use your textbook and the Capella library to complete the following:

  • In your Business Intelligence and Analytics: Systems for Decision Support text, read the following sections in Chapter 1, “An Overview of Business Intelligence, Analytics, and Decision Support.” These readings provide the key definitions for decision support systems (DSS) and business intelligence (BI) to prepare you for analyzing the connections between DSS and BI.
    • “The Concept of Decision Support Systems (DSS),” pages 13–14.
    • “A Framework for Business Intelligence (BI),” pages 14–19.
  • Read Hocevar and Jaklic’s 2010 article, “Assessing Benefits of Business Intelligence Systems – A Case Study,” in Management: Journal of Contemporary Management Issues, volume 15, issue 1, pages 87–119.
    • You will use this reading for this week’s assignment.


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Big Data Analytics

This week’s article provided a case study approach which highlights  how businesses have integrated Big Data Analytics with their  Business Intelligence to gain dominance within their respective  industry.  Search the UC Library and/or Google Scholar for a “Fortune  1000” company that has been successful in this integration. Discuss the  company, its approach to big data analytics with business  intelligence, what they are doing right, what they are doing wrong, and  how they can improve to be more successful in the implementation and  maintenance of big data analytics with business intelligence. 

Your paper should meet the following requirements:

  • Be approximately four to six pages in length, not including the required cover page and reference page.
  • Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
  • Support your answers with the readings from the course and at  least two scholarly journal articles to support your positions, claims,  and observations, in addition to your textbook. The UC Library is a  great place to find resources.
  • Be clearly and well-written, concise, and logical, using excellent  grammar and style techniques. You are being graded in part on the  quality of your writing.

Reading Assignments

Big Data Visualization: Allotting by R and Python with GUI Tools. (2018). 2018  International Conference on Smart Computing and Electronic Enterprise  (ICSCEE), Smart Computing and Electronic Enterprise (ICSCEE), 1. https://doi.org/10.1109/ICSCEE.2018.8538413

Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics. Sustainability 2018, 10(10), 3778; https://doi.org/10.3390/su10103778