Data Set on Optical Character Recognition Workplace Research

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Description

include a data set and analysis to frame the data within your workplace environment. Data can be numerical in nature (quantitative), or it can be content driven (qualitative).

Milestone Two – Submitting Your Data Set

Prepare the data that will inform your project. Information will vary according to project: it could be a chart of polling numbers, a description of main events for a historical moment, financial data about trends in purchasing, or information about good work habits or psychology. Because of this variation, it is critical that you introduce your data clearly before presenting it. After providing this information in a Word document, write a 200-word explanation of the data type, incorporating concepts and key terms from the course. Use APA citations when appropriate

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Running head: IMPLEMENTING OPTICAL CHARACTER RECOGNITION Time-Saving Through Automation Using Optical Character Recognition Technology Name Institution 1 IMPLEMENTING OPTICAL CHARACTER RECOGNITION 2 Time-Saving Through Automation Using Optical Character Recognition Technology Despite major milestones in adopting technologies, organizations still struggle to save time when it comes to transferring data from one format to another. As a result, organizations still incur labor costs to perform manual tasks of changing data from a database into document and pdf formats (Van Der Aalst et al., 2016). Automation is the best approach to solve the issue and enable organizations to save time on some tasks. My future job is to be an insurance underwriter. The job entails reviewing insurance cover applications from clients, assessing risks, and determining if the insurance company can go ahead and offer coverage to the specific risk. As an underwriter, it will be my responsibility to approve the application before the insurance company can deduct premiums from clients. The underwriter also must assess and determine the coverage limits as well as premiums for the approved policies (Galazar, 2016). In order to complete the tasks, insurance underwriters require different types of data ranging from risk analysis, appraisal reports, as well as graphical representations of the same information (Galazar, 2016). Under normal organization procedures, it may take days before all information reaches the underwriters because of entering data from manual forms into the computer system before changing it into other formats for storage and sharing. My future organization that I plan to work with is Blue Cross Blue Shield Group, which is a health insurance company and has its operations in Florida, New Jersey, and Michigan, among other states. The organization handles large amounts of data each day. Client details, insurance compensation claims as well as insurance cover applications for part of the data that insurance personnel such as underwriters handle each day. IMPLEMENTING OPTICAL CHARACTER RECOGNITION The presentation audience, in this case, would be the leadership team at Blue Cross Blue Shield Group, the staff, as well as other stakeholders to the insurance company. The leadership and the employees are the ones who will benefit directly from the OCR technology because it will enhance work efficiently, thereby guaranteeing better results. The stakeholders will benefit through revenue increase as a result of time saving and efficiency. Optical Character Recognition (OCR) technology has been undergoing significant transitions over the years. The technology offers automation across different departments in the organization, enhancing efficiency, and minimizing time spent on processing and transferring data (Chaudhuri et al., 2017). The insurance company handles different handwritten documents such as insurance cover application forms and pay cheques. Implementing OCR technology will not only enable the organization to save time, but it will also enhance accuracy for the final information that is stored in the computer systems (Chaudhuri et al., 2017). The type of data to be collected for the research will include the rate of efficiency while using the OCR technology and the number of hours saved in processing data using the technology. 3 IMPLEMENTING OPTICAL CHARACTER RECOGNITION 4 References Chaudhuri, A., Mandaviya, K., Badelia, P., & Ghosh, S. K. (2017). Optical character recognition systems. In Optical Character Recognition Systems for Different Languages with Soft Computing. Springer, Cham. Retrieved from doi.org/10.1007/978-3-319Galazar, M., (2016, November 17). How To Save Time And Money Through Automation. Forbes. Retrieved from https://www.forbes.com/sites/forbestechcouncil/2016/11/17/howto-save-time-and-money-through-automation/#f6135be58e80 Van Der Aalst, W. M., La Rosa, M., & Santoro, F. M. (2016). Business process management. Springer Education. Retrieved from doi.org/10.1007/s12599-015-0409-x Time-Saving Through Automation Using Optical Character Recognition Technology Introduction • Despite major milestones in adopting technologies, organizations still struggle to save time when it comes to transferring data from one format to another. Discussion • My future job is to be an insurance underwriter. • My future organization that I plan to work with is Blue Cross Blue Shield Group, which is a health insurance company and has its operations in Florida, New Jersey, and Michigan, among other states. • The presentation audience, in this case, would be the leadership team at Blue Cross Blue Shield Group, the staff, as well as other stakeholders to the insurance company. • Optical Character Recognition (OCR) technology has been undergoing significant transitions over the years. TOPIC PROPOSAL TIPS ON SELECTING YOUR PROJECT Research Projects 1. Identify the problem 2. Create a hypothesis 3. Design the research method 4. Define your independent variable (what changes) and dependent variable (what you measure) 5. Execute your research project Project Elements: 1. Descriptive Title 2. Research Question 3. Explanation of Design 4. Literature Review 5. Research Methodology 6. Conclusions YOUR TERM PROJECT 1. 2. 3. 4. Identify a hypothetical future workplace Describe the audience for your presentation Identify the problem facing your workplace Explain your proposal and potential evidence to inform your presentation 5. Review the sample presentation and suggested topics for ideas Milestone One: Topic Proposal - Propose your topic as described above Milestone Two: Submitting your Dataset - Identify some information, statistics, articles, or research that could support your project Milestone Three: Presentation Analysis - Explain your conclusions and application in 3-5 paragraphs. Milestone Four: Final Presentation - Put everything together for the final draft
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Explanation & Answer

Attached.

Running Head: WORKPLACE RESEARCH DATA SET

Workplace Research Data Set on Optical Character Recognition
Name
Institution

1

WORKPLACE RESEARCH DATA SET

2

Data set on optical recognition technology
The research on the adoption of optical character recognition (OCR) technology as a
time-saving approach is based on qualitative data, which describes how technology has proven to
be successful in other organizations. The qualitative data in this paper is based on the data from
previous research on the topic. The main focus is on the rate of efficiency after adopting the
OCR technology and how the organizations managed to save time in the long run.
From the article by Chaudhuri et al. (2016), the organization in the study reported an
improvement ...


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